{"person":{"slug":"stefan-roth","name":"Stefan Roth","university":"TU Darmstadt","role":"PI","profile_url":"https://aigude.ai/research/stefan-roth"},"generated_at":"2026-09-13T23:11:25.589Z","count":92,"bibtex_url":"https://aigude.ai/api/research/feed/stefan-roth?format=bibtex","papers":[{"id":"c3a88e4a-9f3a-42e6-ad91-1d9191dbcccd","title":"Activation Subspaces for Out-of-Distribution Detection","year":2025,"date":"2025-10-19","venue":"ICCV","venue_slug":"iccv","venue_type":null,"authors":null,"author_count":3,"doi":"10.1109/iccv51701.2025.00335","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/iccv51701.2025.00335","pdf_url":"https://arxiv.org/pdf/2508.21695","links":null,"keywords":null,"tldr":null,"cited_by_count":0,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T14:23:31.603887+00:00"},{"id":"75bbd089-7a36-46b6-b2d6-a441dafc3689","title":"ART: Adaptive Relation Tuning for Generalized Relation Prediction","year":2025,"date":"2025-10-19","venue":"ICCV","venue_slug":"iccv","venue_type":null,"authors":null,"author_count":6,"doi":"10.1109/iccv51701.2025.01515","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/iccv51701.2025.01515","pdf_url":"https://arxiv.org/pdf/2507.23543","links":null,"keywords":null,"tldr":null,"cited_by_count":0,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T14:23:32.080213+00:00"},{"id":"63634b05-c467-4426-87d5-ab1412675d48","title":"Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model","year":2025,"date":"2025-10-19","venue":"IROS","venue_slug":"iros","venue_type":null,"authors":null,"author_count":6,"doi":"10.1109/iros60139.2025.11246233","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/iros60139.2025.11246233","pdf_url":"https://infoscience.epfl.ch/handle/20.500.14299/252124","links":null,"keywords":null,"tldr":null,"cited_by_count":0,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T14:23:32.335309+00:00"},{"id":"b22818ec-9d8d-40a4-8369-698cc1cdba4e","title":"Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion","year":2025,"date":"2025-10-19","venue":"ICCV","venue_slug":"iccv","venue_type":null,"authors":null,"author_count":7,"doi":"10.1109/iccv51701.2025.00638","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/iccv51701.2025.00638","pdf_url":"https://arxiv.org/pdf/2507.06230","links":null,"keywords":null,"tldr":null,"cited_by_count":0,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T14:23:31.836709+00:00"},{"id":"6eb56598-4daf-4b72-979f-3dbb063f0929","title":"Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery","year":2025,"date":"2025-10-19","venue":"ICCV","venue_slug":"iccv","venue_type":null,"authors":null,"author_count":7,"doi":"10.1109/iccvw69036.2025.00029","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/iccvw69036.2025.00029","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":0,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T14:23:31.37144+00:00"},{"id":"5db7e868-6240-4ef3-b77b-5e465ddc7a89","title":"Removing Cost Volumes from Optical Flow Estimators","year":2025,"date":"2025-10-19","venue":"ICCV","venue_slug":"iccv","venue_type":null,"authors":null,"author_count":3,"doi":"10.1109/iccv51701.2025.00015","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/iccv51701.2025.00015","pdf_url":"https://arxiv.org/pdf/2510.13317","links":null,"keywords":null,"tldr":null,"cited_by_count":0,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T14:23:31.135275+00:00"},{"id":"1520aa08-df39-4501-9bd4-918ffdaa9eaa","title":"Disentangling Polysemantic Channels in Convolutional Neural Networks","year":2025,"date":"2025-06-11","venue":null,"venue_slug":null,"venue_type":null,"authors":null,"author_count":4,"doi":"10.1109/cvprw67362.2025.00466","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvprw67362.2025.00466","pdf_url":"https://hdl.handle.net/21.11116/0000-0011-0CF2-F","links":null,"keywords":null,"tldr":null,"cited_by_count":0,"lab_submitted":false,"register_url":null,"updated_at":"2026-06-24T07:26:35.218175+00:00"},{"id":"c0fade2c-03e1-4d93-948c-b3afb715bdf8","title":"GLASS: Guided Latent Slot Diffusion for Object-Centric Learning","year":2025,"date":"2025-06-10","venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":3,"doi":"10.1109/cvpr52734.2025.02670","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr52734.2025.02670","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":1,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T14:23:30.87621+00:00"},{"id":"b8e2760e-b5f4-4bde-819f-7446354329da","title":"Scene-Centric Unsupervised Panoptic Segmentation","year":2025,"date":"2025-06-10","venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":6,"doi":"10.1109/cvpr52734.2025.02280","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr52734.2025.02280","pdf_url":"https://arxiv.org/pdf/2504.01955","links":null,"keywords":null,"tldr":null,"cited_by_count":2,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T14:23:30.469524+00:00"},{"id":"5f8a328c-de8d-4d4d-a2a4-6eb417337d4f","title":"Disentangling Polysemantic Channels in Convolutional Neural Networks.","year":2025,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":null,"arxiv_id":null,"openreview_id":null,"landing_url":"https://dblp.org/rec/conf/cvpr/HesseFS025.html","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"8957657d-aec5-4792-8293-600663b50e40","title":"A Perspective on Deep Vision Performance with Standard Image and Video Codecs","year":2024,"date":"2024-06-17","venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":5,"doi":"10.1109/cvprw63382.2024.00580","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvprw63382.2024.00580","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":2,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T14:23:32.836655+00:00"},{"id":"b622926c-9741-40b0-b4ce-dd17f1a13140","title":"Is Synthetic Data all We Need? Benchmarking the Robustness of Models Trained with Synthetic Images","year":2024,"date":"2024-06-17","venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":5,"doi":"10.1109/cvprw63382.2024.00257","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvprw63382.2024.00257","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":27,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T14:23:32.574578+00:00"},{"id":"a8776385-a70e-4cfe-ae0c-a743a19b402f","title":"Adapters Strike Back.","year":2024,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr52733.2024.02213","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr52733.2024.02213","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"f691c165-a851-4a94-8b1e-81b00e490b94","title":"Benchmarking the Attribution Quality of Vision Models.","year":2024,"date":null,"venue":"NeurIPS","venue_slug":"neurips","venue_type":null,"authors":null,"author_count":null,"doi":null,"arxiv_id":null,"openreview_id":null,"landing_url":"https://dblp.org/rec/conf/nips/HesseS024.html","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"26b3d612-c643-4525-ab9c-f56cee22beb2","title":"Content-Adaptive Downsampling in Convolutional Neural Networks.","year":2023,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvprw59228.2023.00478","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvprw59228.2023.00478","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"24c4133f-ee5b-4eac-a1d6-62e0ee846e82","title":"FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods.","year":2023,"date":null,"venue":"ICCV","venue_slug":"iccv","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/iccv51070.2023.00368","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/iccv51070.2023.00368","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"4b3fd122-b74d-4818-907d-70d3dac0cc69","title":"Vision Relation Transformer for Unbiased Scene Graph Generation.","year":2023,"date":null,"venue":"ICCV","venue_slug":"iccv","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/iccv51070.2023.02000","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/iccv51070.2023.02000","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"fdc6d4f6-44f2-4fc7-821f-7230617c50ae","title":"xGQA: Cross-Lingual Visual Question Answering.","year":2022,"date":null,"venue":"ACL","venue_slug":"acl","venue_type":null,"authors":null,"author_count":null,"doi":"10.18653/v1/2022.findings-acl.196","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.18653/v1/2022.findings-acl.196","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"5c54c581-b396-4bca-9d81-0eed1288a837","title":"Boosting Monocular Depth with Panoptic Segmentation Maps.","year":2021,"date":null,"venue":"WACV","venue_slug":"wacv","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/wacv48630.2021.00390","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/wacv48630.2021.00390","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"bad3e11c-8033-4e6d-a7ad-9da1260914a3","title":"Dense Unsupervised Learning for Video Segmentation.","year":2021,"date":null,"venue":"NeurIPS","venue_slug":"neurips","venue_type":null,"authors":null,"author_count":null,"doi":null,"arxiv_id":null,"openreview_id":null,"landing_url":"https://dblp.org/rec/conf/nips/AraslanovSR21.html","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"b25c4a93-55a3-4e55-b82a-a6e92e423773","title":"Fast Axiomatic Attribution for Neural Networks.","year":2021,"date":null,"venue":"NeurIPS","venue_slug":"neurips","venue_type":null,"authors":null,"author_count":null,"doi":null,"arxiv_id":null,"openreview_id":null,"landing_url":"https://dblp.org/rec/conf/nips/HesseSR21.html","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"1bd17f55-c2e2-4f5c-9a2d-08fe2721d01f","title":"Learning Spatially-Variant MAP Models for Non-Blind Image Deblurring.","year":2021,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr46437.2021.00485","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr46437.2021.00485","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"67942a26-73d7-4cd4-8926-7d33247b1291","title":"NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned.","year":2021,"date":null,"venue":"NeurIPS","venue_slug":"neurips","venue_type":null,"authors":null,"author_count":null,"doi":null,"arxiv_id":null,"openreview_id":null,"landing_url":"https://dblp.org/rec/conf/nips/CarrionOjedaAEFGDGGKLLMNPRSSUVVWY21.html","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"06da18c3-285d-45fa-8831-3e84b2265138","title":"PixelPyramids: Exact Inference Models from Lossless Image Pyramids.","year":2021,"date":null,"venue":"ICCV","venue_slug":"iccv","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/iccv48922.2021.00657","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/iccv48922.2021.00657","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"a7bce88f-d5ce-4d9b-8796-2809e03076df","title":"Self-Supervised Augmentation Consistency for Adapting Semantic Segmentation.","year":2021,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr46437.2021.01513","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr46437.2021.01513","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"57903ea2-fac3-4dd9-b7ea-6f583e9ebb87","title":"Self-Supervised Multi-Frame Monocular Scene Flow.","year":2021,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr46437.2021.00271","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr46437.2021.00271","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"64ac6452-2c3a-43c7-8e31-faa39f3a3f09","title":"Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring.","year":2020,"date":null,"venue":"NeurIPS","venue_slug":"neurips","venue_type":null,"authors":null,"author_count":null,"doi":null,"arxiv_id":null,"openreview_id":null,"landing_url":"https://dblp.org/rec/conf/nips/Dong0S20.html","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"dd775056-db6e-4156-a2aa-cb3a626a9e25","title":"Diverse Image Captioning with Context-Object Split Latent Spaces.","year":2020,"date":null,"venue":"NeurIPS","venue_slug":"neurips","venue_type":null,"authors":null,"author_count":null,"doi":null,"arxiv_id":null,"openreview_id":null,"landing_url":"https://dblp.org/rec/conf/nips/Mahajan020.html","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"86687c83-d7b1-428b-89b5-9e59379df2e4","title":"Driving Style Encoder: Situational Reward Adaptation for General-Purpose Planning in Automated Driving.","year":2020,"date":null,"venue":"ICRA","venue_slug":"icra","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/icra40945.2020.9196778","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/icra40945.2020.9196778","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"08fd2374-c68d-4675-a1aa-bc769d3ad8ef","title":"Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings.","year":2020,"date":null,"venue":"ICLR","venue_slug":"iclr","venue_type":null,"authors":null,"author_count":null,"doi":null,"arxiv_id":null,"openreview_id":null,"landing_url":"https://dblp.org/rec/conf/iclr/MahajanG020.html","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"4da328ae-9033-4bcf-8344-034b24410b54","title":"Normalizing Flows With Multi-Scale Autoregressive Priors.","year":2020,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr42600.2020.00844","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr42600.2020.00844","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"ef26c5c8-32d5-4e39-a748-7eaa17facd33","title":"Planning on the fast lane: Learning to interact using attention mechanisms in path integral inverse reinforcement learning.","year":2020,"date":null,"venue":"IROS","venue_slug":"iros","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/iros45743.2020.9340636","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/iros45743.2020.9340636","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"b2f3333b-7a17-4e86-8844-41d8d45ec766","title":"Probabilistic Pixel-Adaptive Refinement Networks.","year":2020,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr42600.2020.01166","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr42600.2020.01166","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"aa83919a-8aaf-4429-bc6e-e50855d4b1bc","title":"Self-Supervised Monocular Scene Flow Estimation.","year":2020,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr42600.2020.00742","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr42600.2020.00742","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"d631202a-ce8c-4727-a8fd-0ed314e078c0","title":"Single-Stage Semantic Segmentation From Image Labels.","year":2020,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr42600.2020.00431","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr42600.2020.00431","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"33050a76-7342-4838-89ac-7e68d26e42ab","title":"Actor-Critic Instance Segmentation.","year":2019,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr.2019.00843","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr.2019.00843","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"6846f0a5-b29c-4f75-8877-dcee476f8c95","title":"Driving with Style: Inverse Reinforcement Learning in General-Purpose Planning for Automated Driving.","year":2019,"date":null,"venue":"IROS","venue_slug":"iros","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/iros40897.2019.8968205","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/iros40897.2019.8968205","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"60f64df6-eec9-49de-aa57-95c95cb069d1","title":"Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation.","year":2019,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr.2019.00590","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr.2019.00590","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"55c5a69c-b322-45eb-8b62-aef2190f59c2","title":"Detail-Preserving Pooling in Deep Networks.","year":2018,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr.2018.00949","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr.2018.00949","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"1cf42779-9e9f-400f-b060-637d99267b7b","title":"Lightweight Probabilistic Deep Networks.","year":2018,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr.2018.00355","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr.2018.00355","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"35b3e5fc-2d35-4557-833b-3e0659dd184c","title":"Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers.","year":2018,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr.2018.00207","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr.2018.00207","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"7eb80cdf-da6b-4c07-9bdf-cbab8d3c4b7b","title":"Multimodal Frame Identification with Multilingual Evaluation.","year":2018,"date":null,"venue":"NAACL","venue_slug":"naacl","venue_type":null,"authors":null,"author_count":null,"doi":"10.18653/v1/n18-1134","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.18653/v1/n18-1134","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"d2c2026c-fa99-4a1a-a924-dda9c09f6f8b","title":"Neural Nearest Neighbors Networks.","year":2018,"date":null,"venue":"NeurIPS","venue_slug":"neurips","venue_type":null,"authors":null,"author_count":null,"doi":null,"arxiv_id":null,"openreview_id":null,"landing_url":"https://dblp.org/rec/conf/nips/Plotz018.html","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"591fc59d-d29c-4160-8f5d-b2567f1a0bac","title":"Normalized Blind Deconvolution.","year":2018,"date":null,"venue":"ECCV","venue_slug":"eccv","venue_type":null,"authors":null,"author_count":null,"doi":"10.1007/978-3-030-01234-2_41","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1007/978-3-030-01234-2_41","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"37298174-4f86-410b-964a-1c97d09c2191","title":"Stochastic Variational Inference With Gradient Linearization.","year":2018,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr.2018.00169","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr.2018.00169","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"584b6167-8bdf-4b6e-bd91-95f7173e98a5","title":"UnFlow: Unsupervised Learning of Optical Flow With a Bidirectional Census Loss.","year":2018,"date":null,"venue":"AAAI","venue_slug":"aaai","venue_type":null,"authors":null,"author_count":null,"doi":"10.1609/aaai.v32i1.12276","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1609/aaai.v32i1.12276","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"cd1f7a76-2361-4cd7-902b-abc2310faf18","title":"Benchmarking Denoising Algorithms with Real Photographs.","year":2017,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr.2017.294","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr.2017.294","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"f71b3f04-c293-4bbd-b4c8-8b4c99c147fb","title":"MirrorFlow: Exploiting Symmetries in Joint Optical Flow and Occlusion Estimation.","year":2017,"date":null,"venue":"ICCV","venue_slug":"iccv","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/iccv.2017.42","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/iccv.2017.42","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"61e69d24-90bf-4865-a026-fb34c368f651","title":"Noise-Blind Image Deblurring.","year":2017,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr.2017.408","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr.2017.408","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"7af5a79f-2e34-41f6-8c8b-5c6220c7dcae","title":"ProbFlow: Joint Optical Flow and Uncertainty Estimation.","year":2017,"date":null,"venue":"ICCV","venue_slug":"iccv","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/iccv.2017.133","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/iccv.2017.133","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"355ef695-0223-42dd-889e-271fbbb3e0ba","title":"Joint Optical Flow and Temporally Consistent Semantic Segmentation.","year":2016,"date":null,"venue":"ECCV","venue_slug":"eccv","venue_type":null,"authors":null,"author_count":null,"doi":"10.1007/978-3-319-46604-0_12","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1007/978-3-319-46604-0_12","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"0676f176-4282-47c0-a4f2-88576c20ba4b","title":"Parametric Object Motion from Blur.","year":2016,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr.2016.204","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr.2016.204","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"b3e7410c-d66e-445e-bba1-f4703b8b8195","title":"Playing for Data: Ground Truth from Computer Games.","year":2016,"date":null,"venue":"ECCV","venue_slug":"eccv","venue_type":null,"authors":null,"author_count":null,"doi":"10.1007/978-3-319-46475-6_7","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1007/978-3-319-46475-6_7","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"143c35fd-6b18-4f31-901c-743f5ff8c0fb","title":"Stereo Video Deblurring.","year":2016,"date":null,"venue":"ECCV","venue_slug":"eccv","venue_type":null,"authors":null,"author_count":null,"doi":"10.1007/978-3-319-46475-6_35","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1007/978-3-319-46475-6_35","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"7bd1e517-af10-4115-a68b-8faad16e1a1e","title":"The Cityscapes Dataset for Semantic Urban Scene Understanding.","year":2016,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr.2016.350","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr.2016.350","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"c9f56681-f7fe-4653-879b-12acc468f8e6","title":"Discriminative shape from shading in uncalibrated illumination.","year":2015,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr.2015.7298716","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr.2015.7298716","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"cadc3ccf-61cc-498a-8b55-6b2ad9e709b7","title":"Interleaved Regression Tree Field Cascades for Blind Image Deconvolution.","year":2015,"date":null,"venue":"WACV","venue_slug":"wacv","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/wacv.2015.72","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/wacv.2015.72","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"8c5e7be3-4035-4473-8df0-b82f0b5a1729","title":"Registering Images to Untextured Geometry Using Average Shading Gradients.","year":2015,"date":null,"venue":"ICCV","venue_slug":"iccv","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/iccv.2015.235","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/iccv.2015.235","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"ace555ff-d5ab-43aa-8a6c-f3c47b958a64","title":"Shrinkage Fields for Effective Image Restoration.","year":2014,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr.2014.349","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr.2014.349","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"48e5cc7c-6568-40d7-b060-b8d895e02413","title":"Stixmantics: A Medium-Level Model for Real-Time Semantic Scene Understanding.","year":2014,"date":null,"venue":"ECCV","venue_slug":"eccv","venue_type":null,"authors":null,"author_count":null,"doi":"10.1007/978-3-319-10602-1_35","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1007/978-3-319-10602-1_35","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"2c3b27b9-aa2b-40a4-b829-95cb07a8cff6","title":"View-Consistent 3D Scene Flow Estimation over Multiple Frames.","year":2014,"date":null,"venue":"ECCV","venue_slug":"eccv","venue_type":null,"authors":null,"author_count":null,"doi":"10.1007/978-3-319-10593-2_18","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1007/978-3-319-10593-2_18","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"f1381565-6433-497b-a8f5-feced5bdc679","title":"Challenges of Ground Truth Evaluation of Multi-target Tracking.","year":2013,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvprw.2013.111","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvprw.2013.111","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"e7104495-c14c-4502-8e69-3b1409308e98","title":"Detection- and Trajectory-Level Exclusion in Multiple Object Tracking.","year":2013,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr.2013.472","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr.2013.472","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"22caf03e-0fd0-4534-8a4f-ad614101fac0","title":"Discriminative Non-blind Deblurring.","year":2013,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr.2013.84","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr.2013.84","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"9cd98174-c145-4394-8530-ce1e4657e5c9","title":"Learning People Detectors for Tracking in Crowded Scenes.","year":2013,"date":null,"venue":"ICCV","venue_slug":"iccv","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/iccv.2013.134","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/iccv.2013.134","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"b88a484b-5856-4520-a773-2cbb10dbae27","title":"Piecewise Rigid Scene Flow.","year":2013,"date":null,"venue":"ICCV","venue_slug":"iccv","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/iccv.2013.174","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/iccv.2013.174","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"9b7bd4d7-39b6-46da-a3e9-e5f93187abce","title":"Discrete-continuous optimization for multi-target tracking.","year":2012,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr.2012.6247893","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr.2012.6247893","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"f0e5f6f9-0fa7-41a4-8dfa-4768eaef4bbf","title":"Learning rotation-aware features: From invariant priors to equivariant descriptors.","year":2012,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr.2012.6247909","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr.2012.6247909","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"b2f88cb7-c141-467e-a892-febfc4a23ea4","title":"3D scene flow estimation with a rigid motion prior.","year":2011,"date":null,"venue":"ICCV","venue_slug":"iccv","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/iccv.2011.6126381","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/iccv.2011.6126381","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"3ac6f81f-0f91-4038-8019-93d6f8bce17a","title":"Bayesian deblurring with integrated noise estimation.","year":2011,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr.2011.5995653","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr.2011.5995653","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"a87f6aee-5774-4d10-ba64-cd7f26d577b3","title":"Connecting non-quadratic variational models and MRFs.","year":2011,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr.2011.5995498","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr.2011.5995498","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"7d12dfe0-b885-45a6-9d28-eeccf89a0c11","title":"Monocular 3D scene understanding with explicit occlusion reasoning.","year":2011,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr.2011.5995547","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr.2011.5995547","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"8e7a2cf5-8752-4e22-b4d1-cd17557810dc","title":"A generative perspective on MRFs in low-level vision.","year":2010,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr.2010.5539844","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr.2010.5539844","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"b3202955-3038-49bb-9915-6d64e9c2f0a5","title":"Automatic discovery of meaningful object parts with latent CRFs.","year":2010,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr.2010.5540220","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr.2010.5540220","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"5abc420b-337b-4350-8ecc-c0ef272bff0b","title":"Monocular 3D pose estimation and tracking by detection.","year":2010,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr.2010.5540156","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr.2010.5540156","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"bbe994f9-ca0d-4b45-9447-59968ffa5dc0","title":"Monocular 3D Scene Modeling and Inference: Understanding Multi-Object Traffic Scenes.","year":2010,"date":null,"venue":"ECCV","venue_slug":"eccv","venue_type":null,"authors":null,"author_count":null,"doi":"10.1007/978-3-642-15561-1_34","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1007/978-3-642-15561-1_34","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"539bc01a-a928-49cd-8351-20073f221daf","title":"Secrets of optical flow estimation and their principles.","year":2010,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr.2010.5539939","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr.2010.5539939","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"d0d9f1b9-96df-445e-82c8-427ea3f37cd5","title":"Vision based victim detection from unmanned aerial vehicles.","year":2010,"date":null,"venue":"IROS","venue_slug":"iros","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/iros.2010.5649223","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/iros.2010.5649223","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"9e2b1307-c614-48ae-b5a2-57fe8dcce085","title":"Discriminative structure learning of hierarchical representations for object detection.","year":2009,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr.2009.5206544","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr.2009.5206544","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"9ece10da-2c12-4cd3-854f-1de2b2ebbd48","title":"Pictorial structures revisited: People detection and articulated pose estimation.","year":2009,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr.2009.5206754","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr.2009.5206754","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"9667c16a-2276-44fe-9e81-a805d06d611a","title":"FusionFlow: Discrete-continuous optimization for optical flow estimation.","year":2008,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr.2008.4587751","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr.2008.4587751","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"f3309857-dc35-46a7-b4a6-e88ce3eb4514","title":"Learning Optical Flow.","year":2008,"date":null,"venue":"ECCV","venue_slug":"eccv","venue_type":null,"authors":null,"author_count":null,"doi":"10.1007/978-3-540-88690-7_7","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1007/978-3-540-88690-7_7","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"1d372ad3-2439-4253-be97-605b1ae45519","title":"People-tracking-by-detection and people-detection-by-tracking.","year":2008,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr.2008.4587583","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr.2008.4587583","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"7e2d76d3-9c36-4e57-a77f-8758b49d18f3","title":"A Database and Evaluation Methodology for Optical Flow.","year":2007,"date":null,"venue":"ICCV","venue_slug":"iccv","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/iccv.2007.4408903","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/iccv.2007.4408903","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"4768c7ba-2c27-4ebc-8ca7-8eb2e6c2bde8","title":"Steerable Random Fields.","year":2007,"date":null,"venue":"ICCV","venue_slug":"iccv","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/iccv.2007.4408981","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/iccv.2007.4408981","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"952965f3-e963-4984-aaac-9f759ec7bbc8","title":"Efficient Belief Propagation with Learned Higher-Order Markov Random Fields.","year":2006,"date":null,"venue":"ECCV","venue_slug":"eccv","venue_type":null,"authors":null,"author_count":null,"doi":"10.1007/11744047_21","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1007/11744047_21","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"ba4737c6-fff8-40fa-8395-a7ac4c482d0e","title":"Specular Flow and the Recovery of Surface Structure.","year":2006,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr.2006.290","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr.2006.290","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"868fa84d-b731-48ed-a4bd-07d4a2cec10f","title":"Fields of Experts: A Framework for Learning Image Priors.","year":2005,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/cvpr.2005.160","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/cvpr.2005.160","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"5885c67a-1f76-48d4-ab64-f70751693159","title":"Modeling Neural Population Spiking Activity with Gibbs Distributions.","year":2005,"date":null,"venue":"NeurIPS","venue_slug":"neurips","venue_type":null,"authors":null,"author_count":null,"doi":null,"arxiv_id":null,"openreview_id":null,"landing_url":"https://dblp.org/rec/conf/nips/WoodRB05.html","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"609a244f-8e3e-4182-80c7-4a65203de9a6","title":"On the Spatial Statistics of Optical Flow.","year":2005,"date":null,"venue":"ICCV","venue_slug":"iccv","venue_type":null,"authors":null,"author_count":null,"doi":"10.1109/iccv.2005.180","arxiv_id":null,"openreview_id":null,"landing_url":"https://doi.org/10.1109/iccv.2005.180","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"e3fdc1ff-97d8-451e-9835-1cbe9a1eabb5","title":"Gibbs Likelihoods for Bayesian Tracking.","year":2004,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":null,"arxiv_id":null,"openreview_id":null,"landing_url":"https://dblp.org/rec/conf/cvpr/RothSB04.html","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"},{"id":"45272a55-727b-41b5-a794-84dd50199549","title":"Tracking Loose-Limbed People.","year":2004,"date":null,"venue":"CVPR","venue_slug":"cvpr","venue_type":null,"authors":null,"author_count":null,"doi":null,"arxiv_id":null,"openreview_id":null,"landing_url":"https://dblp.org/rec/conf/cvpr/SigalBRBI04.html","pdf_url":null,"links":null,"keywords":null,"tldr":null,"cited_by_count":null,"lab_submitted":false,"register_url":null,"updated_at":"2026-07-01T20:27:36.040674+00:00"}]}