{"schema":"pith.researcher-record.v1","as_of":"2026-07-13T19:57:00Z","resolution":{"status":"canonical","requested":"336877bd-d45a-405b-b139-899bf1be47f0","author_uuid":"336877bd-d45a-405b-b139-899bf1be47f0","target_uuid":"336877bd-d45a-405b-b139-899bf1be47f0","reason":""},"identity":{"author_uuid":"336877bd-d45a-405b-b139-899bf1be47f0","display_name":"Alois Knoll","state":"canonical","directory_admitted":true,"created_at":"2026-05-06T22:28:47.010295Z","updated_at":"2026-05-06T22:28:47.010295Z","affiliations":[],"public_identifiers":[{"type":"name_variant","value":"Alois Knoll","source":"backfill","confidence":0.6,"verified":false,"first_seen_at":"2026-05-16T03:27:51.012652Z","last_seen_at":"2026-07-05T07:01:24.408102Z"}],"provenance":[{"source":"authors","claim":"Canonical corpus identity row.","observed_at":"2026-05-06T22:28:47.010295Z"},{"source":"author_identifiers","claim":"Typed public identifiers with source and confidence.","observed_at":"2026-07-05T07:01:24.408102Z"}]},"coverage":[{"lane":"identity","state":"measured","records_observed":2,"denominator":null,"source":"authors, author_identifiers","note":"Canonical identity row plus public typed identifiers."},{"lane":"papers","state":"measured","records_observed":115,"denominator":115,"source":"paper_authors","note":"Rows attributed to this author UUID in the Pith corpus."},{"lane":"works","state":"measured","records_observed":0,"denominator":0,"source":"author_works","note":"Imported works not duplicated by the paper ledger."},{"lane":"reviews","state":"measured","records_observed":14,"denominator":115,"source":"current_verdicts","note":"Coverage count only. No review outcome is projected onto the person."},{"lane":"citations","state":"measured","records_observed":8,"denominator":115,"source":"cited_works","note":"Counts remain itemized by work and source."},{"lane":"coauthors","state":"measured","records_observed":50,"denominator":115,"source":"paper_authors","note":"Shared-work edges from admitted paper rows."},{"lane":"account","state":"unavailable","records_observed":null,"denominator":1,"source":"users.author_id","note":"Account metadata is separate from corpus evidence."}],"research_map":{"fields":[{"field":"cs.CV","works":38},{"field":"cs.RO","works":31},{"field":"cs.LG","works":11},{"field":"cs.AI","works":8},{"field":"cs.MA","works":6},{"field":"cs.NE","works":6},{"field":"cs.AR","works":2},{"field":"cs.DC","works":2},{"field":"cs.LO","works":2},{"field":"physics.ins-det","works":2},{"field":"q-bio.NC","works":2},{"field":"stat.ML","works":2},{"field":"cs.ET","works":1},{"field":"cs.GT","works":1},{"field":"cs.NI","works":1}],"years":[{"year":2009,"works":2},{"year":2010,"works":1},{"year":2011,"works":2},{"year":2012,"works":1},{"year":2014,"works":2},{"year":2015,"works":1},{"year":2017,"works":2},{"year":2018,"works":3},{"year":2019,"works":12},{"year":2020,"works":17},{"year":2021,"works":24},{"year":2022,"works":18},{"year":2023,"works":16},{"year":2024,"works":1},{"year":2025,"works":1},{"year":2026,"works":12}]},"papers":[{"record_type":"paper","arxiv_id":"2606.19135","work_id":null,"title":"A Technical Taxonomy of LLM Agent Communication Protocols","year":2026,"field":"cs.MA","authorship":{"printed_name":"Alois Knoll","position":4,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":true,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2606.19135","integrity":"/paper/2606.19135/integrity","challenge":"/challenges/file/2606.19135"}},{"record_type":"paper","arxiv_id":"2606.18132","work_id":null,"title":"Knowledge Reutilization in Meta-Reinforcement Learning","year":2026,"field":"cs.AI","authorship":{"printed_name":"Alois Knoll","position":7,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":true,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2606.18132","integrity":"/paper/2606.18132/integrity","challenge":"/challenges/file/2606.18132"}},{"record_type":"paper","arxiv_id":"2606.12287","work_id":null,"title":"SpikeDecoder: Realizing the GPT Architecture with Spiking Neural Networks","year":2026,"field":"cs.NE","authorship":{"printed_name":"Alois Knoll","position":3,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":true,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2606.12287","integrity":"/paper/2606.12287/integrity","challenge":"/challenges/file/2606.12287"}},{"record_type":"paper","arxiv_id":"2606.09457","work_id":null,"title":"$\\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models","year":2026,"field":"cs.RO","authorship":{"printed_name":"Alois Knoll","position":4,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":true,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2606.09457","integrity":"/paper/2606.09457/integrity","challenge":"/challenges/file/2606.09457"}},{"record_type":"paper","arxiv_id":"2606.08104","work_id":null,"title":"Reinforcement learning in linear embedding space unlocks generalizable control across soft robot configurations","year":2026,"field":"cs.RO","authorship":{"printed_name":"Alois Knoll","position":13,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":true,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2606.08104","integrity":"/paper/2606.08104/integrity","challenge":"/challenges/file/2606.08104"}},{"record_type":"paper","arxiv_id":"2606.00372","work_id":"af01540f-771e-4061-8f3f-3326eaefc69b","title":"LFA: Layer Feature Attention for Run-Time Introspection of 2D Object Detectors in Automated Driving","year":2026,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":2,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":true,"source":"current_verdicts"},"citation_counts":[{"count":1,"source":"cited_work_pith_inbound_counts","kind":"pith_inbound_references"}],"links":{"paper":"/p/2606.00372","integrity":"/paper/2606.00372/integrity","challenge":"/challenges/file/2606.00372","citations":"/citations/af01540f-771e-4061-8f3f-3326eaefc69b"}},{"record_type":"paper","arxiv_id":"2605.13623","work_id":null,"title":"Multimodal Graph-based Classification of Esophageal Motility Disorders","year":2026,"field":"cs.LG","authorship":{"printed_name":"Alois Knoll","position":4,"source":"paper_authors","identity_confidence":null,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":true,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2605.13623","integrity":"/paper/2605.13623/integrity","challenge":"/challenges/file/2605.13623"}},{"record_type":"paper","arxiv_id":"2605.15223","work_id":null,"title":"GenAI-Driven Approach to RISC-V Supply Chain Exploration","year":2026,"field":"cs.AR","authorship":{"printed_name":"Alois Knoll","position":4,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":true,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2605.15223","integrity":"/paper/2605.15223/integrity","challenge":"/challenges/file/2605.15223"}},{"record_type":"paper","arxiv_id":"2604.28001","work_id":"0ffb337b-3bd2-4304-a4db-ad51c6f38486","title":"A Pattern Language for Resilient Visual Agents","year":2026,"field":"cs.AI","authorship":{"printed_name":"Alois Knoll","position":3,"source":"paper_authors","identity_confidence":null,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":true,"source":"current_verdicts"},"citation_counts":[{"count":1,"source":"cited_work_pith_inbound_counts","kind":"pith_inbound_references"}],"links":{"paper":"/p/2604.28001","integrity":"/paper/2604.28001/integrity","challenge":"/challenges/file/2604.28001","citations":"/citations/0ffb337b-3bd2-4304-a4db-ad51c6f38486"}},{"record_type":"paper","arxiv_id":"2604.20460","work_id":null,"title":"CCTVBench: Contrastive Consistency Traffic VideoQA Benchmark for Multimodal LLMs","year":2026,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":8,"source":"paper_authors","identity_confidence":null,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":true,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2604.20460","integrity":"/paper/2604.20460/integrity","challenge":"/challenges/file/2604.20460"}},{"record_type":"paper","arxiv_id":"2604.03697","work_id":null,"title":"SGTA: Scene-Graph Based Multi-Modal Traffic Agent for Video Understanding","year":2026,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":5,"source":"paper_authors","identity_confidence":null,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2604.03697","integrity":"/paper/2604.03697/integrity","challenge":"/challenges/file/2604.03697"}},{"record_type":"paper","arxiv_id":"2604.03325","work_id":null,"title":"Safety-Aligned 3D Object Detection: Single-Vehicle, Cooperative, and End-to-End Perspectives","year":2026,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":4,"source":"paper_authors","identity_confidence":null,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":true,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2604.03325","integrity":"/paper/2604.03325/integrity","challenge":"/challenges/file/2604.03325"}},{"record_type":"paper","arxiv_id":"2501.08083","work_id":null,"title":"Benchmarking Vision Foundation Models for Input Monitoring in Autonomous Driving","year":2025,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":5,"source":"paper_authors","identity_confidence":null,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":true,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2501.08083","integrity":"/paper/2501.08083/integrity","challenge":"/challenges/file/2501.08083"}},{"record_type":"paper","arxiv_id":"2403.12193","work_id":null,"title":"Continual Domain Randomization","year":2024,"field":"cs.RO","authorship":{"printed_name":"Alois Knoll","position":5,"source":"paper_authors","identity_confidence":null,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":true,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2403.12193","integrity":"/paper/2403.12193/integrity","challenge":"/challenges/file/2403.12193"}},{"record_type":"paper","arxiv_id":"2312.10807","work_id":"0d50e82f-cddc-4fff-813c-ca0db65b4733","title":"Bridging Language and Action: A Survey of Language-Conditioned Robot Manipulation","year":2023,"field":"cs.RO","authorship":{"printed_name":"Alois Knoll","position":15,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[{"count":3,"source":"cited_work_pith_inbound_counts","kind":"pith_inbound_references"}],"links":{"paper":"/p/2312.10807","integrity":"/paper/2312.10807/integrity","challenge":"/challenges/file/2312.10807","citations":"/citations/0d50e82f-cddc-4fff-813c-ca0db65b4733"}},{"record_type":"paper","arxiv_id":"2310.02055","work_id":null,"title":"Integrate-and-fire circuit for converting analog signals to spikes using phase encoding","year":2023,"field":"cs.ET","authorship":{"printed_name":"Alois Knoll","position":3,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2310.02055","integrity":"/paper/2310.02055/integrity","challenge":"/challenges/file/2310.02055"}},{"record_type":"paper","arxiv_id":"2307.10153","work_id":null,"title":"Contact-aware Shaping and Maintenance of Deformable Linear Objects With Fixtures","year":2023,"field":"cs.RO","authorship":{"printed_name":"Alois Knoll","position":7,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2307.10153","integrity":"/paper/2307.10153/integrity","challenge":"/challenges/file/2307.10153"}},{"record_type":"paper","arxiv_id":"2305.17308","work_id":null,"title":"Towards Cognitive Bots: Architectural Research Challenges","year":2023,"field":"cs.AI","authorship":{"printed_name":"Alois Knoll","position":4,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2305.17308","integrity":"/paper/2305.17308/integrity","challenge":"/challenges/file/2305.17308"}},{"record_type":"paper","arxiv_id":"2305.11654","work_id":null,"title":"V2X-Boosted Federated Learning for Cooperative Intelligent Transportation Systems with Contextual Client Selection","year":2023,"field":"cs.LG","authorship":{"printed_name":"Alois Knoll","position":5,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2305.11654","integrity":"/paper/2305.11654/integrity","challenge":"/challenges/file/2305.11654"}},{"record_type":"paper","arxiv_id":"2305.00286","work_id":null,"title":"Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning","year":2023,"field":"cs.LG","authorship":{"printed_name":"Alois Knoll","position":8,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2305.00286","integrity":"/paper/2305.00286/integrity","challenge":"/challenges/file/2305.00286"}},{"record_type":"paper","arxiv_id":"2304.12069","work_id":null,"title":"Occlusion Robust 3D Human Pose Estimation with StridedPoseGraphFormer and Data Augmentation","year":2023,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":4,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2304.12069","integrity":"/paper/2304.12069/integrity","challenge":"/challenges/file/2304.12069"}},{"record_type":"paper","arxiv_id":"2304.09119","work_id":null,"title":"Safety Guaranteed Manipulation Based on Reinforcement Learning Planner and Model Predictive Control Actor","year":2023,"field":"cs.RO","authorship":{"printed_name":"Alois Knoll","position":7,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2304.09119","integrity":"/paper/2304.09119/integrity","challenge":"/challenges/file/2304.09119"}},{"record_type":"paper","arxiv_id":"2304.02222","work_id":null,"title":"DiGA: Distil to Generalize and then Adapt for Domain Adaptive Semantic Segmentation","year":2023,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":5,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2304.02222","integrity":"/paper/2304.02222/integrity","challenge":"/challenges/file/2304.02222"}},{"record_type":"paper","arxiv_id":"2304.01534","work_id":null,"title":"FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems","year":2023,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":5,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2304.01534","integrity":"/paper/2304.01534/integrity","challenge":"/challenges/file/2304.01534"}},{"record_type":"paper","arxiv_id":"2303.12400","work_id":null,"title":"UMC: A Unified Bandwidth-efficient and Multi-resolution based Collaborative Perception Framework","year":2023,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":6,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2303.12400","integrity":"/paper/2303.12400/integrity","challenge":"/challenges/file/2303.12400"}},{"record_type":"paper","arxiv_id":"2303.11629","work_id":null,"title":"TMA: Temporal Motion Aggregation for Event-based Optical Flow","year":2023,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":6,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2303.11629","integrity":"/paper/2303.11629/integrity","challenge":"/challenges/file/2303.11629"}},{"record_type":"paper","arxiv_id":"2303.07352","work_id":null,"title":"Sequential Spatial Network for Collision Avoidance in Autonomous Driving","year":2023,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":6,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2303.07352","integrity":"/paper/2303.07352/integrity","challenge":"/challenges/file/2303.07352"}},{"record_type":"paper","arxiv_id":"2303.06714","work_id":null,"title":"BCSSN: Bi-direction Compact Spatial Separable Network for Collision Avoidance in Autonomous Driving","year":2023,"field":"cs.RO","authorship":{"printed_name":"Alois Knoll","position":3,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2303.06714","integrity":"/paper/2303.06714/integrity","challenge":"/challenges/file/2303.06714"}},{"record_type":"paper","arxiv_id":"2302.13137","work_id":null,"title":"A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors","year":2023,"field":"cs.RO","authorship":{"printed_name":"Alois Knoll","position":6,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2302.13137","integrity":"/paper/2302.13137/integrity","challenge":"/challenges/file/2302.13137"}},{"record_type":"paper","arxiv_id":"2302.12052","work_id":null,"title":"Attention Mechanism for Contrastive Learning in GAN-based Image-to-Image Translation","year":2023,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":4,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2302.12052","integrity":"/paper/2302.12052/integrity","challenge":"/challenges/file/2302.12052"}},{"record_type":"paper","arxiv_id":"2301.00089","work_id":null,"title":"Autonomous Driving Simulator based on Neurorobotics Platform","year":2022,"field":"cs.RO","authorship":{"printed_name":"Alois Knoll","position":4,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2301.00089","integrity":"/paper/2301.00089/integrity","challenge":"/challenges/file/2301.00089"}},{"record_type":"paper","arxiv_id":"2212.05602","work_id":null,"title":"ResFed: Communication Efficient Federated Learning by Transmitting Deep Compressed Residuals","year":2022,"field":"cs.LG","authorship":{"printed_name":"Alois Knoll","position":5,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2212.05602","integrity":"/paper/2212.05602/integrity","challenge":"/challenges/file/2212.05602"}},{"record_type":"paper","arxiv_id":"2211.11870","work_id":null,"title":"LoopDA: Constructing Self-loops to Adapt Nighttime Semantic Segmentation","year":2022,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":6,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2211.11870","integrity":"/paper/2211.11870/integrity","challenge":"/challenges/file/2211.11870"}},{"record_type":"paper","arxiv_id":"2209.10656","work_id":null,"title":"Learning from Symmetry: Meta-Reinforcement Learning with Symmetrical Behaviors and Language Instructions","year":2022,"field":"cs.AI","authorship":{"printed_name":"Alois Knoll","position":7,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2209.10656","integrity":"/paper/2209.10656/integrity","challenge":"/challenges/file/2209.10656"}},{"record_type":"paper","arxiv_id":"2209.04924","work_id":null,"title":"Meta-Reinforcement Learning via Language Instructions","year":2022,"field":"cs.RO","authorship":{"printed_name":"Alois Knoll","position":5,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2209.04924","integrity":"/paper/2209.04924/integrity","challenge":"/challenges/file/2209.04924"}},{"record_type":"paper","arxiv_id":"2209.03225","work_id":null,"title":"Hardware faults that matter: Understanding and Estimating the safety impact of hardware faults on object detection DNNs","year":2022,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":7,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2209.03225","integrity":"/paper/2209.03225/integrity","challenge":"/challenges/file/2209.03225"}},{"record_type":"paper","arxiv_id":"2208.11311","work_id":null,"title":"Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments","year":2022,"field":"cs.LG","authorship":{"printed_name":"Alois Knoll","position":7,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2208.11311","integrity":"/paper/2208.11311/integrity","challenge":"/challenges/file/2208.11311"}},{"record_type":"paper","arxiv_id":"2207.04418","work_id":null,"title":"Spatiotemporal motion planning with combinatorial reasoning for autonomous driving","year":2022,"field":"cs.RO","authorship":{"printed_name":"Alois Knoll","position":4,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2207.04418","integrity":"/paper/2207.04418/integrity","challenge":"/challenges/file/2207.04418"}},{"record_type":"paper","arxiv_id":"2206.13858","work_id":null,"title":"Accurate and Real-time Pseudo Lidar Detection: Is Stereo Neural Network Really Necessary?","year":2022,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":4,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2206.13858","integrity":"/paper/2206.13858/integrity","challenge":"/challenges/file/2206.13858"}},{"record_type":"paper","arxiv_id":"2206.08882","work_id":null,"title":"Edge-Aided Sensor Data Sharing in Vehicular Communication Networks","year":2022,"field":"cs.MA","authorship":{"printed_name":"Alois Knoll","position":4,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2206.08882","integrity":"/paper/2206.08882/integrity","challenge":"/challenges/file/2206.08882"}},{"record_type":"paper","arxiv_id":"2206.06282","work_id":null,"title":"Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement Learning for Robotic Manipulation Tasks","year":2022,"field":"cs.RO","authorship":{"printed_name":"Alois Knoll","position":6,"source":"paper_authors","identity_confidence":null,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":true,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2206.06282","integrity":"/paper/2206.06282/integrity","challenge":"/challenges/file/2206.06282"}},{"record_type":"paper","arxiv_id":"2205.00705","work_id":null,"title":"3D Object Detection with a Self-supervised Lidar Scene Flow Backbone","year":2022,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":9,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2205.00705","integrity":"/paper/2205.00705/integrity","challenge":"/challenges/file/2205.00705"}},{"record_type":"paper","arxiv_id":"2204.06527","work_id":null,"title":"A9-Dataset: Multi-Sensor Infrastructure-Based Dataset for Mobility Research","year":2022,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":7,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2204.06527","integrity":"/paper/2204.06527/integrity","challenge":"/challenges/file/2204.06527"}},{"record_type":"paper","arxiv_id":"2204.00215","work_id":null,"title":"Federated Learning Framework Coping with Hierarchical Heterogeneity in Cooperative ITS","year":2022,"field":"cs.LG","authorship":{"printed_name":"Alois Knoll","position":5,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2204.00215","integrity":"/paper/2204.00215/integrity","challenge":"/challenges/file/2204.00215"}},{"record_type":"paper","arxiv_id":"2204.00132","work_id":null,"title":"Real-Time and Robust 3D Object Detection Within Road-Side LiDARs Using Domain Adaptation","year":2022,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":3,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2204.00132","integrity":"/paper/2204.00132/integrity","challenge":"/challenges/file/2204.00132"}},{"record_type":"paper","arxiv_id":"2204.00106","work_id":null,"title":"A Survey of Robust 3D Object Detection Methods in Point Clouds","year":2022,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":5,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2204.00106","integrity":"/paper/2204.00106/integrity","challenge":"/challenges/file/2204.00106"}},{"record_type":"paper","arxiv_id":"2202.12650","work_id":null,"title":"Time-coded Spiking Fourier Transform in Neuromorphic Hardware","year":2022,"field":"cs.NE","authorship":{"printed_name":"Alois Knoll","position":9,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2202.12650","integrity":"/paper/2202.12650/integrity","challenge":"/challenges/file/2202.12650"}},{"record_type":"paper","arxiv_id":"2201.05496","work_id":null,"title":"Evaluating Muscle Synergies with EMG Data and Physics Simulation in the Neurorobotics Platform","year":2022,"field":"q-bio.NC","authorship":{"printed_name":"Alois Knoll","position":3,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2201.05496","integrity":"/paper/2201.05496/integrity","challenge":"/challenges/file/2201.05496"}},{"record_type":"paper","arxiv_id":"2111.15300","work_id":null,"title":"TridentAdapt: Learning Domain-invariance via Source-Target Confrontation and Self-induced Cross-domain Augmentation","year":2021,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":5,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2111.15300","integrity":"/paper/2111.15300/integrity","challenge":"/challenges/file/2111.15300"}},{"record_type":"paper","arxiv_id":"2110.14535","work_id":null,"title":"Comparing Heuristics, Constraint Optimization, and Reinforcement Learning for an Industrial 2D Packing Problem","year":2021,"field":"cs.AI","authorship":{"printed_name":"Alois Knoll","position":5,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2110.14535","integrity":"/paper/2110.14535/integrity","challenge":"/challenges/file/2110.14535"}},{"record_type":"paper","arxiv_id":"2110.02793","work_id":"dd88565a-4054-4899-b39c-424804aeccdf","title":"Multi-Agent Constrained Policy Optimisation","year":2021,"field":"cs.AI","authorship":{"printed_name":"Alois Knoll","position":8,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[{"count":4,"source":"cited_work_pith_inbound_counts","kind":"pith_inbound_references"}],"links":{"paper":"/p/2110.02793","integrity":"/paper/2110.02793/integrity","challenge":"/challenges/file/2110.02793","citations":"/citations/dd88565a-4054-4899-b39c-424804aeccdf"}},{"record_type":"paper","arxiv_id":"2109.15122","work_id":null,"title":"Linear Differential Games for Cooperative Behavior Planning of Autonomous Vehicles Using Mixed-Integer Programming","year":2021,"field":"cs.RO","authorship":{"printed_name":"Alois Knoll","position":3,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2109.15122","integrity":"/paper/2109.15122/integrity","challenge":"/challenges/file/2109.15122"}},{"record_type":"paper","arxiv_id":"2109.12928","work_id":null,"title":"A Biologically Inspired Global Localization System for Mobile Robots Using LiDAR Sensor","year":2021,"field":"cs.RO","authorship":{"printed_name":"Alois Knoll","position":5,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2109.12928","integrity":"/paper/2109.12928/integrity","challenge":"/challenges/file/2109.12928"}},{"record_type":"paper","arxiv_id":"2109.12910","work_id":null,"title":"A Biologically-Inspired Simultaneous Localization and Mapping System Based on LiDAR Sensor","year":2021,"field":"cs.RO","authorship":{"printed_name":"Alois Knoll","position":5,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2109.12910","integrity":"/paper/2109.12910/integrity","challenge":"/challenges/file/2109.12910"}},{"record_type":"paper","arxiv_id":"2109.10689","work_id":null,"title":"Towards Cognitive Navigation: Design and Implementation of a Biologically Inspired Head Direction Cell Network","year":2021,"field":"cs.NE","authorship":{"printed_name":"Alois Knoll","position":7,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2109.10689","integrity":"/paper/2109.10689/integrity","challenge":"/challenges/file/2109.10689"}},{"record_type":"paper","arxiv_id":"2108.10272","work_id":null,"title":"Vogtareuth Rehab Depth Datasets: Benchmark for Marker-less Posture Estimation in Rehabilitation","year":2021,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":5,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2108.10272","integrity":"/paper/2108.10272/integrity","challenge":"/challenges/file/2108.10272"}},{"record_type":"paper","arxiv_id":"2108.03718","work_id":null,"title":"Meta-Reinforcement Learning in Broad and Non-Parametric Environments","year":2021,"field":"cs.LG","authorship":{"printed_name":"Alois Knoll","position":5,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2108.03718","integrity":"/paper/2108.03718/integrity","challenge":"/challenges/file/2108.03718"}},{"record_type":"paper","arxiv_id":"2105.11510","work_id":null,"title":"Grasp Planning for Flexible Production with Small Lot Sizes based on CAD models using GPIS and Bayesian Optimization","year":2021,"field":"cs.RO","authorship":{"printed_name":"Alois Knoll","position":3,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2105.11510","integrity":"/paper/2105.11510/integrity","challenge":"/challenges/file/2105.11510"}},{"record_type":"paper","arxiv_id":"2105.10379","work_id":null,"title":"3D Human Pose Regression using Graph Convolutional Network","year":2021,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":3,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2105.10379","integrity":"/paper/2105.10379/integrity","challenge":"/challenges/file/2105.10379"}},{"record_type":"paper","arxiv_id":"2105.10142","work_id":null,"title":"Safety Metrics for Semantic Segmentation in Autonomous Driving","year":2021,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":2,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2105.10142","integrity":"/paper/2105.10142/integrity","challenge":"/challenges/file/2105.10142"}},{"record_type":"paper","arxiv_id":"2104.12106","work_id":null,"title":"Temp-Frustum Net: 3D Object Detection with Temporal Fusion","year":2021,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":3,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2104.12106","integrity":"/paper/2104.12106/integrity","challenge":"/challenges/file/2104.12106"}},{"record_type":"paper","arxiv_id":"2104.05305","work_id":null,"title":"A Hierarchical State-Machine-Based Framework for Platoon Manoeuvre Descriptions","year":2021,"field":"cs.MA","authorship":{"printed_name":"Alois Knoll","position":4,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2104.05305","integrity":"/paper/2104.05305/integrity","challenge":"/challenges/file/2104.05305"}},{"record_type":"paper","arxiv_id":"2104.02967","work_id":null,"title":"ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization","year":2021,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":6,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2104.02967","integrity":"/paper/2104.02967/integrity","challenge":"/challenges/file/2104.02967"}},{"record_type":"paper","arxiv_id":"2103.06141","work_id":null,"title":"Non-Holonomic RRT & MPC: Path and Trajectory Planning for an Autonomous Cycle Rickshaw","year":2021,"field":"cs.RO","authorship":{"printed_name":"Alois Knoll","position":5,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2103.06141","integrity":"/paper/2103.06141/integrity","challenge":"/challenges/file/2103.06141"}},{"record_type":"paper","arxiv_id":"2103.03614","work_id":null,"title":"FloMo: Tractable Motion Prediction with Normalizing Flows","year":2021,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":2,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2103.03614","integrity":"/paper/2103.03614/integrity","challenge":"/challenges/file/2103.03614"}},{"record_type":"paper","arxiv_id":"2102.05624","work_id":null,"title":"NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting","year":2021,"field":"cs.LG","authorship":{"printed_name":"Alois Knoll","position":6,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2102.05624","integrity":"/paper/2102.05624/integrity","challenge":"/challenges/file/2102.05624"}},{"record_type":"paper","arxiv_id":"2102.03127","work_id":null,"title":"Experience-Based Heuristic Search: Robust Motion Planning with Deep Q-Learning","year":2021,"field":"cs.RO","authorship":{"printed_name":"Alois Knoll","position":4,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2102.03127","integrity":"/paper/2102.03127/integrity","challenge":"/challenges/file/2102.03127"}},{"record_type":"paper","arxiv_id":"2102.03119","work_id":null,"title":"Addressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for Automated Driving using Distributional Reinforcement Learning","year":2021,"field":"cs.AI","authorship":{"printed_name":"Alois Knoll","position":3,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2102.03119","integrity":"/paper/2102.03119/integrity","challenge":"/challenges/file/2102.03119"}},{"record_type":"paper","arxiv_id":"2102.03053","work_id":null,"title":"Risk-Constrained Interactive Safety under Behavior Uncertainty for Autonomous Driving","year":2021,"field":"cs.AI","authorship":{"printed_name":"Alois Knoll","position":2,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2102.03053","integrity":"/paper/2102.03053/integrity","challenge":"/challenges/file/2102.03053"}},{"record_type":"paper","arxiv_id":"2101.10226","work_id":null,"title":"Lightweight Convolutional Neural Network with Gaussian-based Grasping Representation for Robotic Grasping Detection","year":2021,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":5,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2101.10226","integrity":"/paper/2101.10226/integrity","challenge":"/challenges/file/2101.10226"}},{"record_type":"paper","arxiv_id":"2101.09375","work_id":null,"title":"Gaussian Process-Based Model Predictive Control for Overtaking","year":2021,"field":"cs.RO","authorship":{"printed_name":"Alois Knoll","position":5,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2101.09375","integrity":"/paper/2101.09375/integrity","challenge":"/challenges/file/2101.09375"}},{"record_type":"paper","arxiv_id":"2101.07001","work_id":null,"title":"A Spiking Central Pattern Generator for the control of a simulated lamprey robot running on SpiNNaker and Loihi neuromorphic boards","year":2021,"field":"cs.NE","authorship":{"printed_name":"Alois Knoll","position":7,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2101.07001","integrity":"/paper/2101.07001/integrity","challenge":"/challenges/file/2101.07001"}},{"record_type":"paper","arxiv_id":"2012.10066","work_id":null,"title":"PointINet: Point Cloud Frame Interpolation Network","year":2020,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":6,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2012.10066","integrity":"/paper/2012.10066/integrity","challenge":"/challenges/file/2012.10066"}},{"record_type":"paper","arxiv_id":"2012.06292","work_id":null,"title":"Spotlight-based 3D Instrument Guidance for Retinal Surgery","year":2020,"field":"cs.RO","authorship":{"printed_name":"Alois Knoll","position":8,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2012.06292","integrity":"/paper/2012.06292/integrity","challenge":"/challenges/file/2012.06292"}},{"record_type":"paper","arxiv_id":"2011.07915","work_id":"3e3b1b04-54f0-4f48-a3e3-72c14d2944f2","title":"LAP-Net: Adaptive Features Sampling via Learning Action Progression for Online Action Detection","year":2020,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":6,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[{"count":1,"source":"cited_work_pith_inbound_counts","kind":"pith_inbound_references"}],"links":{"paper":"/p/2011.07915","integrity":"/paper/2011.07915/integrity","challenge":"/challenges/file/2011.07915","citations":"/citations/3e3b1b04-54f0-4f48-a3e3-72c14d2944f2"}},{"record_type":"paper","arxiv_id":"2010.12394","work_id":null,"title":"RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor","year":2020,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":5,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2010.12394","integrity":"/paper/2010.12394/integrity","challenge":"/challenges/file/2010.12394"}},{"record_type":"paper","arxiv_id":"2009.14186","work_id":null,"title":"Modeling and Testing Multi-Agent Traffic Rules within Interactive Behavior Planning","year":2020,"field":"cs.RO","authorship":{"printed_name":"Alois Knoll","position":3,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2009.14186","integrity":"/paper/2009.14186/integrity","challenge":"/challenges/file/2009.14186"}},{"record_type":"paper","arxiv_id":"2007.13486","work_id":null,"title":"Complex Robotic Manipulation via Graph-Based Hindsight Goal Generation","year":2020,"field":"cs.RO","authorship":{"printed_name":"Alois Knoll","position":5,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2007.13486","integrity":"/paper/2007.13486/integrity","challenge":"/challenges/file/2007.13486"}},{"record_type":"paper","arxiv_id":"2007.00330","work_id":null,"title":"Formalizing Traffic Rules for Machine Interpretability","year":2020,"field":"cs.RO","authorship":{"printed_name":"Alois Knoll","position":3,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2007.00330","integrity":"/paper/2007.00330/integrity","challenge":"/challenges/file/2007.00330"}},{"record_type":"paper","arxiv_id":"2006.15457","work_id":null,"title":"AerialMPTNet: Multi-Pedestrian Tracking in Aerial Imagery Using Temporal and Graphical Features","year":2020,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":6,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2006.15457","integrity":"/paper/2006.15457/integrity","challenge":"/challenges/file/2006.15457"}},{"record_type":"paper","arxiv_id":"2006.12576","work_id":null,"title":"Graph Neural Networks and Reinforcement Learning for Behavior Generation in Semantic Environments","year":2020,"field":"cs.LG","authorship":{"printed_name":"Alois Knoll","position":2,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2006.12576","integrity":"/paper/2006.12576/integrity","challenge":"/challenges/file/2006.12576"}},{"record_type":"paper","arxiv_id":"2006.00906","work_id":null,"title":"Center-of-Mass-based Robust Grasp Planning for Unknown Objects Using Tactile-Visual Sensors","year":2020,"field":"cs.RO","authorship":{"printed_name":"Alois Knoll","position":6,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2006.00906","integrity":"/paper/2006.00906/integrity","challenge":"/challenges/file/2006.00906"}},{"record_type":"paper","arxiv_id":"2005.10648","work_id":null,"title":"Accurate position tracking with a single UWB anchor","year":2020,"field":"cs.RO","authorship":{"printed_name":"Alois Knoll","position":4,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2005.10648","integrity":"/paper/2005.10648/integrity","challenge":"/challenges/file/2005.10648"}},{"record_type":"paper","arxiv_id":"2003.13312","work_id":null,"title":"Optimal Behavior Planning for Autonomous Driving: A Generic Mixed-Integer Formulation","year":2020,"field":"cs.RO","authorship":{"printed_name":"Alois Knoll","position":3,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2003.13312","integrity":"/paper/2003.13312/integrity","challenge":"/challenges/file/2003.13312"}},{"record_type":"paper","arxiv_id":"2003.11281","work_id":null,"title":"Robust Stochastic Bayesian Games for Behavior Space Coverage","year":2020,"field":"cs.MA","authorship":{"printed_name":"Alois Knoll","position":2,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2003.11281","integrity":"/paper/2003.11281/integrity","challenge":"/challenges/file/2003.11281"}},{"record_type":"paper","arxiv_id":"2003.11919","work_id":"1c7fb8ab-f8d2-481f-bb12-5340d6d595f0","title":"Counterfactual Policy Evaluation for Decision-Making in Autonomous Driving","year":2020,"field":"cs.LG","authorship":{"printed_name":"Alois Knoll","position":2,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[{"count":1,"source":"cited_work_pith_inbound_counts","kind":"pith_inbound_references"}],"links":{"paper":"/p/2003.11919","integrity":"/paper/2003.11919/integrity","challenge":"/challenges/file/2003.11919","citations":"/citations/1c7fb8ab-f8d2-481f-bb12-5340d6d595f0"}},{"record_type":"paper","arxiv_id":"2003.07477","work_id":null,"title":"Task-Independent Spiking Central Pattern Generator: A Learning-Based Approach","year":2020,"field":"cs.NE","authorship":{"printed_name":"Alois Knoll","position":4,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2003.07477","integrity":"/paper/2003.07477/integrity","challenge":"/challenges/file/2003.07477"}},{"record_type":"paper","arxiv_id":"2003.04603","work_id":null,"title":"Indirect and Direct Training of Spiking Neural Networks for End-to-End Control of a Lane-Keeping Vehicle","year":2020,"field":"cs.NE","authorship":{"printed_name":"Alois Knoll","position":4,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2003.04603","integrity":"/paper/2003.04603/integrity","challenge":"/challenges/file/2003.04603"}},{"record_type":"paper","arxiv_id":"2003.00770","work_id":null,"title":"Identity Recognition in Intelligent Cars with Behavioral Data and LSTM-ResNet Classifier","year":2020,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":4,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/2003.00770","integrity":"/paper/2003.00770/integrity","challenge":"/challenges/file/2003.00770"}},{"record_type":"paper","arxiv_id":"1906.06789","work_id":null,"title":"Providentia -- A Large-Scale Sensor System for the Assistance of Autonomous Vehicles and Its Evaluation","year":2019,"field":"cs.RO","authorship":{"printed_name":"Alois Knoll","position":8,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/1906.06789","integrity":"/paper/1906.06789/integrity","challenge":"/challenges/file/1906.06789"}},{"record_type":"paper","arxiv_id":"1906.06086","work_id":null,"title":"Copy and Paste: A Simple But Effective Initialization Method for Black-Box Adversarial Attacks","year":2019,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":3,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/1906.06086","integrity":"/paper/1906.06086/integrity","challenge":"/challenges/file/1906.06086"}},{"record_type":"paper","arxiv_id":"1905.07733","work_id":null,"title":"Leveraging Semantic Embeddings for Safety-Critical Applications","year":2019,"field":"stat.ML","authorship":{"printed_name":"Alois Knoll","position":4,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/1905.07733","integrity":"/paper/1905.07733/integrity","challenge":"/challenges/file/1905.07733"}},{"record_type":"paper","arxiv_id":"1905.02980","work_id":null,"title":"Bridging the Gap between Open Source Software and Vehicle Hardware for Autonomous Driving","year":2019,"field":"cs.RO","authorship":{"printed_name":"Alois Knoll","position":10,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/1905.02980","integrity":"/paper/1905.02980/integrity","challenge":"/challenges/file/1905.02980"}},{"record_type":"paper","arxiv_id":"1905.00708","work_id":null,"title":"From Specifications to Behavior: Maneuver Verification in a Semantic State Space","year":2019,"field":"cs.RO","authorship":{"printed_name":"Alois Knoll","position":3,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/1905.00708","integrity":"/paper/1905.00708/integrity","challenge":"/challenges/file/1905.00708"}},{"record_type":"paper","arxiv_id":"1904.12717","work_id":null,"title":"Globally optimal vertical direction estimation in Atlanta World","year":2019,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":2,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/1904.12717","integrity":"/paper/1904.12717/integrity","challenge":"/challenges/file/1904.12717"}},{"record_type":"paper","arxiv_id":"1904.08743","work_id":null,"title":"Targetless Rotational Auto-Calibration of Radar and Camera for Intelligent Transportation Systems","year":2019,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":7,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/1904.08743","integrity":"/paper/1904.08743/integrity","challenge":"/challenges/file/1904.08743"}},{"record_type":"paper","arxiv_id":"1904.07788","work_id":null,"title":"Energy-Efficient Slithering Gait Exploration for a Snake-like Robot based on Reinforcement Learning","year":2019,"field":"cs.RO","authorship":{"printed_name":"Alois Knoll","position":5,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/1904.07788","integrity":"/paper/1904.07788/integrity","challenge":"/challenges/file/1904.07788"}},{"record_type":"paper","arxiv_id":"1903.10175","work_id":null,"title":"A Novel Method for the Absolute Pose Problem with Pairwise Constraints","year":2019,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":6,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/1903.10175","integrity":"/paper/1903.10175/integrity","challenge":"/challenges/file/1903.10175"}},{"record_type":"paper","arxiv_id":"1903.07933","work_id":"400b865f-ac90-497b-b991-066b6bec977a","title":"What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction","year":2019,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":4,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[{"count":2,"source":"cited_work_pith_inbound_counts","kind":"pith_inbound_references"}],"links":{"paper":"/p/1903.07933","integrity":"/paper/1903.07933/integrity","challenge":"/challenges/file/1903.07933","citations":"/citations/400b865f-ac90-497b-b991-066b6bec977a"}},{"record_type":"paper","arxiv_id":"1904.01476","work_id":null,"title":"5G for the Factory of the Future: Wireless Communication in an Industrial Environment","year":2019,"field":"cs.NI","authorship":{"printed_name":"Alois Knoll","position":8,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/1904.01476","integrity":"/paper/1904.01476/integrity","challenge":"/challenges/file/1904.01476"}},{"record_type":"paper","arxiv_id":"1903.01254","work_id":null,"title":"Graph Neural Networks for Modelling Traffic Participant Interaction","year":2019,"field":"cs.LG","authorship":{"printed_name":"Alois Knoll","position":4,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/1903.01254","integrity":"/paper/1903.01254/integrity","challenge":"/challenges/file/1903.01254"}},{"record_type":"paper","arxiv_id":"1812.09803","work_id":"2fdbbbf6-6c04-4b3f-b0da-1c4c7fc69368","title":"Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks","year":2018,"field":"stat.ML","authorship":{"printed_name":"Alois Knoll","position":4,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[{"count":1,"source":"cited_work_pith_inbound_counts","kind":"pith_inbound_references"}],"links":{"paper":"/p/1812.09803","integrity":"/paper/1812.09803/integrity","challenge":"/challenges/file/1812.09803","citations":"/citations/2fdbbbf6-6c04-4b3f-b0da-1c4c7fc69368"}},{"record_type":"paper","arxiv_id":"1808.05805","work_id":null,"title":"Towards Robotic Eye Surgery: Marker-free, Online Hand-eye Calibration using Optical Coherence Tomography Images","year":2018,"field":"cs.RO","authorship":{"printed_name":"Alois Knoll","position":9,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/1808.05805","integrity":"/paper/1808.05805/integrity","challenge":"/challenges/file/1808.05805"}},{"record_type":"paper","arxiv_id":"1807.01014","work_id":null,"title":"A Survey on Agent-based Simulation using Hardware Accelerators","year":2018,"field":"cs.MA","authorship":{"printed_name":"Alois Knoll","position":5,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/1807.01014","integrity":"/paper/1807.01014/integrity","challenge":"/challenges/file/1807.01014"}},{"record_type":"paper","arxiv_id":"1801.01444","work_id":null,"title":"Deep Anticipation: Light Weight Intelligent Mobile Sensing in IoT by Recurrent Architecture","year":2017,"field":"cs.CV","authorship":{"printed_name":"Alois Knoll","position":7,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/1801.01444","integrity":"/paper/1801.01444/integrity","challenge":"/challenges/file/1801.01444"}},{"record_type":"paper","arxiv_id":"1709.07658","work_id":null,"title":"Potentials and Implications of Dedicated Highway Lanes for Autonomous Vehicles","year":2017,"field":"cs.MA","authorship":{"printed_name":"Alois Knoll","position":2,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/1709.07658","integrity":"/paper/1709.07658/integrity","challenge":"/challenges/file/1709.07658"}},{"record_type":"paper","arxiv_id":"1510.09138","work_id":null,"title":"Paired spiking robustly shapes spontaneous activity in neural networks in vitro","year":2015,"field":"q-bio.NC","authorship":{"printed_name":"Alois Knoll","position":5,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/1510.09138","integrity":"/paper/1510.09138/integrity","challenge":"/challenges/file/1510.09138"}},{"record_type":"paper","arxiv_id":"1410.1395","work_id":null,"title":"A neural network z-vertex trigger for Belle II","year":2014,"field":"physics.ins-det","authorship":{"printed_name":"Alois Knoll","position":9,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/1410.1395","integrity":"/paper/1410.1395/integrity","challenge":"/challenges/file/1410.1395"}},{"record_type":"paper","arxiv_id":"1406.3319","work_id":null,"title":"A z-Vertex Trigger for Belle II","year":2014,"field":"physics.ins-det","authorship":{"printed_name":"Alois Knoll","position":8,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/1406.3319","integrity":"/paper/1406.3319/integrity","challenge":"/challenges/file/1406.3319"}},{"record_type":"paper","arxiv_id":"1207.1187","work_id":null,"title":"Dynamic Priority Queue: An SDRAM Arbiter With Bounded Access Latencies for Tight WCET Calculation","year":2012,"field":"cs.AR","authorship":{"printed_name":"Alois Knoll","position":3,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/1207.1187","integrity":"/paper/1207.1187/integrity","challenge":"/challenges/file/1207.1187"}},{"record_type":"paper","arxiv_id":"1112.1783","work_id":null,"title":"Distributed Priority Synthesis and its Applications","year":2011,"field":"cs.LO","authorship":{"printed_name":"Alois Knoll","position":6,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/1112.1783","integrity":"/paper/1112.1783/integrity","challenge":"/challenges/file/1112.1783"}},{"record_type":"paper","arxiv_id":"1107.1383","work_id":null,"title":"Algorithms for Synthesizing Priorities in Component-based Systems","year":2011,"field":"cs.LO","authorship":{"printed_name":"Alois Knoll","position":8,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/1107.1383","integrity":"/paper/1107.1383/integrity","challenge":"/challenges/file/1107.1383"}},{"record_type":"paper","arxiv_id":"1011.0268","work_id":null,"title":"A Game-theoretic Approach for Synthesizing Fault-Tolerant Embedded Systems","year":2010,"field":"cs.GT","authorship":{"printed_name":"Alois Knoll","position":3,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/1011.0268","integrity":"/paper/1011.0268/integrity","challenge":"/challenges/file/1011.0268"}},{"record_type":"paper","arxiv_id":"0905.3946","work_id":null,"title":"FTOS-Verify: Analysis and Verification of Non-Functional Properties for Fault-Tolerant Systems","year":2009,"field":"cs.DC","authorship":{"printed_name":"Alois Knoll","position":4,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/0905.3946","integrity":"/paper/0905.3946/integrity","challenge":"/challenges/file/0905.3946"}},{"record_type":"paper","arxiv_id":"0905.3951","work_id":null,"title":"Modeling and Verification for Timing Satisfaction of Fault-Tolerant Systems with Finiteness","year":2009,"field":"cs.DC","authorship":{"printed_name":"Alois Knoll","position":4,"source":"arxiv_oai","identity_confidence":0.7,"dispute_state":"provisional"},"review_coverage":{"state":"measured","reviewed":false,"source":"current_verdicts"},"citation_counts":[],"links":{"paper":"/p/0905.3951","integrity":"/paper/0905.3951/integrity","challenge":"/challenges/file/0905.3951"}}],"works":[],"coauthors":[{"author_uuid":"6c15c38b-f51c-4835-8a6a-9447c2bc81f7","display_name":"Zhenshan Bing","shared_works":16,"source":"paper_authors","href":"/researchers/6c15c38b-f51c-4835-8a6a-9447c2bc81f7"},{"author_uuid":"3992b423-cba4-472d-ab0d-963e49026a23","display_name":"Guang Chen","shared_works":14,"source":"paper_authors","href":"/researchers/3992b423-cba4-472d-ab0d-963e49026a23"},{"author_uuid":"284decf6-90af-4336-9382-ac0ca27c81af","display_name":"Kai Huang","shared_works":13,"source":"paper_authors","href":"/researchers/284decf6-90af-4336-9382-ac0ca27c81af"},{"author_uuid":"2451a11f-de5a-4e54-af85-c3ceeaf9ace9","display_name":"Klemens Esterle","shared_works":8,"source":"paper_authors","href":"/researchers/2451a11f-de5a-4e54-af85-c3ceeaf9ace9"},{"author_uuid":"5fce2147-0d5b-4a7f-8a9d-2136b07ecd1a","display_name":"Chih-Hong Cheng","shared_works":7,"source":"paper_authors","href":"/researchers/5fce2147-0d5b-4a7f-8a9d-2136b07ecd1a"},{"author_uuid":"45ac95d0-f46f-47b1-9621-9d31334e8998","display_name":"Rui Song","shared_works":7,"source":"paper_authors","href":"/researchers/45ac95d0-f46f-47b1-9621-9d31334e8998"},{"author_uuid":"25d6ce4f-3bb9-43cc-8d9a-686286ac8982","display_name":"Andreas Festag","shared_works":6,"source":"paper_authors","href":"/researchers/25d6ce4f-3bb9-43cc-8d9a-686286ac8982"},{"author_uuid":"6b8fea8b-fc02-4f06-848e-078599910bc0","display_name":"Julian Bernhard","shared_works":6,"source":"paper_authors","href":"/researchers/6b8fea8b-fc02-4f06-848e-078599910bc0"},{"author_uuid":"abfd1156-aebc-409d-9f86-a47653434f90","display_name":"Liguo Zhou","shared_works":6,"source":"paper_authors","href":"/researchers/abfd1156-aebc-409d-9f86-a47653434f90"},{"author_uuid":"79041d49-53c7-418c-ad87-319c0906e9a5","display_name":"Xiangtong Yao","shared_works":6,"source":"paper_authors","href":"/researchers/79041d49-53c7-418c-ad87-319c0906e9a5"},{"author_uuid":"6a18466a-8e24-4b33-9b1a-6d86f61bc689","display_name":"Christian Buckl","shared_works":5,"source":"paper_authors","href":"/researchers/6a18466a-8e24-4b33-9b1a-6d86f61bc689"},{"author_uuid":"20af5842-7273-4157-a58a-762a8ff67ec0","display_name":"Frederik Diehl","shared_works":5,"source":"paper_authors","href":"/researchers/20af5842-7273-4157-a58a-762a8ff67ec0"},{"author_uuid":"16606f9c-0ef5-4c95-8a6a-0466cfd298ce","display_name":"Thomas Brunner","shared_works":5,"source":"paper_authors","href":"/researchers/16606f9c-0ef5-4c95-8a6a-0466cfd298ce"},{"author_uuid":"8521a746-36d7-44eb-b965-2d6b61212ddb","display_name":"Walter Zimmer","shared_works":5,"source":"paper_authors","href":"/researchers/8521a746-36d7-44eb-b965-2d6b61212ddb"},{"author_uuid":"f00f73ea-40d9-4990-a092-8c57cfa81039","display_name":"Christoph Sch\\\"oller","shared_works":4,"source":"paper_authors","href":"/researchers/f00f73ea-40d9-4990-a092-8c57cfa81039"},{"author_uuid":"1c69cf08-3fa1-4995-83aa-6b6a5d6a16bc","display_name":"Fan Lu","shared_works":4,"source":"paper_authors","href":"/researchers/1c69cf08-3fa1-4995-83aa-6b6a5d6a16bc"},{"author_uuid":"efdcc8a4-7a8a-449e-ba8b-3b8c83883dac","display_name":"Genghang Zhuang","shared_works":4,"source":"paper_authors","href":"/researchers/efdcc8a4-7a8a-449e-ba8b-3b8c83883dac"},{"author_uuid":"44a58b7e-31da-4bdb-a009-775723d85220","display_name":"Michael Truong Le","shared_works":4,"source":"paper_authors","href":"/researchers/44a58b7e-31da-4bdb-a009-775723d85220"},{"author_uuid":"c758fce0-c6c9-41f5-bae8-55955df9fb30","display_name":"Patrick Hart","shared_works":4,"source":"paper_authors","href":"/researchers/c758fce0-c6c9-41f5-bae8-55955df9fb30"},{"author_uuid":"34762902-3d7a-4a18-a044-f9f43da43361","display_name":"Sanqing Qu","shared_works":4,"source":"paper_authors","href":"/researchers/34762902-3d7a-4a18-a044-f9f43da43361"},{"author_uuid":"269849c8-7e35-4d44-b040-e6bf8749c2bf","display_name":"Yinlong Liu","shared_works":4,"source":"paper_authors","href":"/researchers/269849c8-7e35-4d44-b040-e6bf8749c2bf"},{"author_uuid":"e61972db-3d31-4afe-9ee5-8c2889e3b9b6","display_name":"Zhijun Li","shared_works":4,"source":"paper_authors","href":"/researchers/e61972db-3d31-4afe-9ee5-8c2889e3b9b6"},{"author_uuid":"6fa49e85-fea8-439e-ac92-cf19dc41c147","display_name":"Akhil Gurram","shared_works":3,"source":"paper_authors","href":"/researchers/6fa49e85-fea8-439e-ac92-cf19dc41c147"},{"author_uuid":"c222c4cc-9b6f-4379-9955-550d8fdbb207","display_name":"David Eckhoff","shared_works":3,"source":"paper_authors","href":"/researchers/c222c4cc-9b6f-4379-9955-550d8fdbb207"},{"author_uuid":"4d3ec266-9487-4cbc-a371-72480d1298d3","display_name":"Fengyi Shen","shared_works":3,"source":"paper_authors","href":"/researchers/4d3ec266-9487-4cbc-a371-72480d1298d3"},{"author_uuid":"538c4cc6-8b27-4348-8e98-b9966a6e1e80","display_name":"Florian Walter","shared_works":3,"source":"paper_authors","href":"/researchers/538c4cc6-8b27-4348-8e98-b9966a6e1e80"},{"author_uuid":"f7615295-580b-41ea-9e0c-42d3973770ab","display_name":"Gereon Hinz","shared_works":3,"source":"paper_authors","href":"/researchers/f7615295-580b-41ea-9e0c-42d3973770ab"},{"author_uuid":"1181e814-281c-4f81-8a21-f7fd14df99ff","display_name":"Habtom Kahsay Gidey","shared_works":3,"source":"paper_authors","href":"/researchers/1181e814-281c-4f81-8a21-f7fd14df99ff"},{"author_uuid":"fb09333d-fbf6-4be1-9062-95a30a992fe1","display_name":"Harald Ruess","shared_works":3,"source":"paper_authors","href":"/researchers/fb09333d-fbf6-4be1-9062-95a30a992fe1"},{"author_uuid":"ce406ddb-44d9-4ec8-b994-52c7f0b78b0a","display_name":"Kejia Chen","shared_works":3,"source":"paper_authors","href":"/researchers/ce406ddb-44d9-4ec8-b994-52c7f0b78b0a"},{"author_uuid":"ecc76537-4832-40c2-8b40-7135d4c802b6","display_name":"Mingyu Liu","shared_works":3,"source":"paper_authors","href":"/researchers/ecc76537-4832-40c2-8b40-7135d4c802b6"},{"author_uuid":"9fcfc31d-d38e-41bf-b442-660498243d72","display_name":"Mohammadhossein Malmir","shared_works":3,"source":"paper_authors","href":"/researchers/9fcfc31d-d38e-41bf-b442-660498243d72"},{"author_uuid":"156a1bfa-abd3-48a5-80f0-aa41f7777acc","display_name":"Soubarna Banik","shared_works":3,"source":"paper_authors","href":"/researchers/156a1bfa-abd3-48a5-80f0-aa41f7777acc"},{"author_uuid":"9701a59d-5eca-4c5c-9ffc-26d3504035a2","display_name":"Tobias Kessler","shared_works":3,"source":"paper_authors","href":"/researchers/9701a59d-5eca-4c5c-9ffc-26d3504035a2"},{"author_uuid":"4c20e7c7-bda9-460d-9c31-747a74aa274c","display_name":"Venkatnarayanan Lakshminarasimhan","shared_works":3,"source":"paper_authors","href":"/researchers/4c20e7c7-bda9-460d-9c31-747a74aa274c"},{"author_uuid":"6b42a748-9069-4a3b-8362-d4bb0d9ddee8","display_name":"Xingcheng Zhou","shared_works":3,"source":"paper_authors","href":"/researchers/6b42a748-9069-4a3b-8362-d4bb0d9ddee8"},{"author_uuid":"2498a43b-42a7-4b00-ac91-d784504de563","display_name":"Yuan Meng","shared_works":3,"source":"paper_authors","href":"/researchers/2498a43b-42a7-4b00-ac91-d784504de563"},{"author_uuid":"d00907a8-7a1a-4391-8ec2-178a4f35f4da","display_name":"Alejandro Mendoza Garcia","shared_works":2,"source":"paper_authors","href":"/researchers/d00907a8-7a1a-4391-8ec2-178a4f35f4da"},{"author_uuid":"71e0e1b4-787d-4250-b9c9-fafd3c588611","display_name":"Alexander Lenz","shared_works":2,"source":"paper_authors","href":"/researchers/71e0e1b4-787d-4250-b9c9-fafd3c588611"},{"author_uuid":"18849452-4382-40d5-ac09-436c74093875","display_name":"Annkathrin Kr\\\"ammer","shared_works":2,"source":"paper_authors","href":"/researchers/18849452-4382-40d5-ac09-436c74093875"},{"author_uuid":"4c8d2bdf-8f6e-4b95-b386-279d8403584b","display_name":"Changjun Jiang","shared_works":2,"source":"paper_authors","href":"/researchers/4c8d2bdf-8f6e-4b95-b386-279d8403584b"},{"author_uuid":"8f676f31-cb00-4ca7-8779-2706213eb732","display_name":"Christian Kiesling","shared_works":2,"source":"paper_authors","href":"/researchers/8f676f31-cb00-4ca7-8779-2706213eb732"},{"author_uuid":"95a9f1ed-99bb-4ec8-bebf-2615f7fa9278","display_name":"Dan Xu","shared_works":2,"source":"paper_authors","href":"/researchers/95a9f1ed-99bb-4ec8-bebf-2615f7fa9278"},{"author_uuid":"a89b6006-7bf1-4464-a383-6c8d9c6b2384","display_name":"Ekim Yurtsever","shared_works":2,"source":"paper_authors","href":"/researchers/a89b6006-7bf1-4464-a383-6c8d9c6b2384"},{"author_uuid":"57189d29-3866-4148-a01c-d4dea045df42","display_name":"Eme\\c{c} Er\\c{c}elik","shared_works":2,"source":"paper_authors","href":"/researchers/57189d29-3866-4148-a01c-d4dea045df42"},{"author_uuid":"bed857e6-06fd-4916-8b53-a0ce91ab724e","display_name":"Emec Ercelik","shared_works":2,"source":"paper_authors","href":"/researchers/bed857e6-06fd-4916-8b53-a0ce91ab724e"},{"author_uuid":"1847acbe-612e-4f3e-bbea-74d532f49d29","display_name":"Fabrice O. Morin","shared_works":2,"source":"paper_authors","href":"/researchers/1847acbe-612e-4f3e-bbea-74d532f49d29"},{"author_uuid":"a36b1986-abe9-4c36-9707-a1d8bbcfc20c","display_name":"Haichuan Li","shared_works":2,"source":"paper_authors","href":"/researchers/a36b1986-abe9-4c36-9707-a1d8bbcfc20c"},{"author_uuid":"b45e4e33-bbb8-433d-a242-7e330e1c2074","display_name":"Hanzhen Zhang","shared_works":2,"source":"paper_authors","href":"/researchers/b45e4e33-bbb8-433d-a242-7e330e1c2074"},{"author_uuid":"d8a5c911-03c0-475c-b9fc-472dcbd9e95c","display_name":"He Wang","shared_works":2,"source":"paper_authors","href":"/researchers/d8a5c911-03c0-475c-b9fc-472dcbd9e95c"}],"account":{"state":"unavailable","label":"Self-published by linked Pith account","facts":null,"strength_bound":"The account lane is self-published. Linking proves account control only and changes no corpus fact."},"identity_history":[],"links":{"html":"/researchers/336877bd-d45a-405b-b139-899bf1be47f0","json":"/researchers/336877bd-d45a-405b-b139-899bf1be47f0.json","history":"/researchers/336877bd-d45a-405b-b139-899bf1be47f0/history","directory":"/researchers"},"context_digest":"sha256:2b69d6b2563d14f101537cdf8f877b1f9d16d589f39f8f8274b3b46e28f6de33"}