Urtasun, Raquel

186 publications

CVPR 2025 DIO: Decomposable Implicit 4D Occupancy-Flow World Model Christopher Diehl, Quinlan Sykora, Ben Agro, Thomas Gilles, Sergio Casas, Raquel Urtasun

CoRL 2025 FOMO-3D: Using Vision Foundation Models for Long-Tailed 3D Object Detection Anqi Joyce Yang, James Tu, Nikita Dvornik, Enxu Li, Raquel Urtasun

NeurIPS 2025 Flux4D: Flow-Based Unsupervised 4D Reconstruction Jingkang Wang, Henry Che, Yun Chen, Ze Yang, Lily Goli, Sivabalan Manivasagam, Raquel Urtasun

CVPR 2025 GenAssets: Generating In-the-Wild 3D Assets in Latent Space Ze Yang, Jingkang Wang, Haowei Zhang, Sivabalan Manivasagam, Yun Chen, Raquel Urtasun

CVPR 2025 MAD: Memory-Augmented Detection of 3D Objects Ben Agro, Sergio Casas, Patrick Wang, Thomas Gilles, Raquel Urtasun

ICLR 2024 Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion Lunjun Zhang, Yuwen Xiong, Ze Yang, Sergio Casas, Rui Hu, Raquel Urtasun

ECCV 2024 DeTra: A Unified Model for Object Detection and Trajectory Forecasting Sergio Casas, Ben T Agro, Jiageng Mao, Thomas Gilles, Alexander Y Cui, Enxu Li, Raquel Urtasun

ECCV 2024 G3R: Gradient Guided Generalizable Reconstruction Yun Chen, Jingkang Wang, Ze Yang, Sivabalan Manivasagam, Raquel Urtasun

ECCV 2024 Learning to Drive via Asymmetric Self-Play Chris Zhang, Sourav Biswas, Kelvin Wong, Kion Fallah, Lunjun Zhang, Dian Chen, Sergio Casas, Raquel Urtasun

CVPR 2024 UnO: Unsupervised Occupancy Fields for Perception and Forecasting Ben Agro, Quinlan Sykora, Sergio Casas, Thomas Gilles, Raquel Urtasun

ECCV 2024 UniCal: Unified Neural Sensor Calibration Ze Yang, George G Chen, Haowei Zhang, Kevin Ta, Ioan Andrei Bârsan, Daniel Murphy, Sivabalan Manivasagam, Raquel Urtasun

CoRL 2023 4D-Former: Multimodal 4D Panoptic Segmentation Ali Athar, Enxu Li, Sergio Casas, Raquel Urtasun

CoRL 2023 Adv3D: Generating Safety-Critical 3D Objects Through Closed-Loop Simulation Jay Sarva, Jingkang Wang, James Tu, Yuwen Xiong, Sivabalan Manivasagam, Raquel Urtasun

CVPR 2023 Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving Ben Agro, Quinlan Sykora, Sergio Casas, Raquel Urtasun

CoRL 2023 LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds Anqi Joyce Yang, Sergio Casas, Nikita Dvornik, Sean Segal, Yuwen Xiong, Jordan Sir Kwang Hu, Carter Fang, Raquel Urtasun

CVPR 2023 Learning Compact Representations for LiDAR Completion and Generation Yuwen Xiong, Wei-Chiu Ma, Jingkang Wang, Raquel Urtasun

CoRL 2023 Learning Realistic Traffic Agents in Closed-Loop Chris Zhang, James Tu, Lunjun Zhang, Kelvin Wong, Simon Suo, Raquel Urtasun

ICCV 2023 MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory Enxu Li, Sergio Casas, Raquel Urtasun

CVPR 2023 MixSim: A Hierarchical Framework for Mixed Reality Traffic Simulation Simon Suo, Kelvin Wong, Justin Xu, James Tu, Alexander Cui, Sergio Casas, Raquel Urtasun

NeurIPS 2023 Neural Lighting Simulation for Urban Scenes Ava Pun, Gary Sun, Jingkang Wang, Yun Chen, Ze Yang, Sivabalan Manivasagam, Wei-Chiu Ma, Raquel Urtasun

ICCV 2023 Real-Time Neural Rasterization for Large Scenes Jeffrey Yunfan Liu, Yun Chen, Ze Yang, Jingkang Wang, Sivabalan Manivasagam, Raquel Urtasun

CoRL 2023 Towards Scalable Coverage-Based Testing of Autonomous Vehicles James Tu, Simon Suo, Chris Zhang, Kelvin Wong, Raquel Urtasun

CVPR 2023 Towards Unsupervised Object Detection from LiDAR Point Clouds Lunjun Zhang, Anqi Joyce Yang, Yuwen Xiong, Sergio Casas, Bin Yang, Mengye Ren, Raquel Urtasun

ICCV 2023 Towards Zero Domain Gap: A Comprehensive Study of Realistic LiDAR Simulation for Autonomy Testing Sivabalan Manivasagam, Ioan Andrei Bârsan, Jingkang Wang, Ze Yang, Raquel Urtasun

CVPR 2023 UniSim: A Neural Closed-Loop Sensor Simulator Ze Yang, Yun Chen, Jingkang Wang, Sivabalan Manivasagam, Wei-Chiu Ma, Anqi Joyce Yang, Raquel Urtasun

CoRL 2022 CADSim: Robust and Scalable In-the-Wild 3D Reconstruction for Controllable Sensor Simulation Jingkang Wang, Sivabalan Manivasagam, Yun Chen, Ze Yang, Ioan Andrei Bârsan, Anqi Joyce Yang, Wei-Chiu Ma, Raquel Urtasun

WACV 2022 Mending Neural Implicit Modeling for 3D Vehicle Reconstruction in the Wild Shivam Duggal, Zihao Wang, Wei-Chiu Ma, Sivabalan Manivasagam, Justin Liang, Shenlong Wang, Raquel Urtasun

ECCV 2022 Rethinking Closed-Loop Training for Autonomous Driving Chris Zhang, Runsheng Guo, Wenyuan Zeng, Yuwen Xiong, Binbin Dai, Rui Hu, Mengye Ren, Raquel Urtasun

CVPR 2022 Virtual Correspondence: Humans as a Cue for Extreme-View Geometry Wei-Chiu Ma, Anqi Joyce Yang, Shenlong Wang, Raquel Urtasun, Antonio Torralba

ICLR 2021 A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks Renjie Liao, Raquel Urtasun, Richard Zemel

CVPR 2021 AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles Jingkang Wang, Ava Pun, James Tu, Sivabalan Manivasagam, Abbas Sadat, Sergio Casas, Mengye Ren, Raquel Urtasun

ICCV 2021 Adversarial Attacks on Multi-Agent Communication James Tu, Tsunhsuan Wang, Jingkang Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun

CVPR 2021 Deep Multi-Task Learning for Joint Localization, Perception, and Prediction John Phillips, Julieta Martinez, Ioan Andrei Barsan, Sergio Casas, Abbas Sadat, Raquel Urtasun

CoRL 2021 Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving James Tu, Huichen Li, Xinchen Yan, Mengye Ren, Yun Chen, Ming Liang, Eilyan Bitar, Ersin Yumer, Raquel Urtasun

CVPR 2021 GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving Yun Chen, Frieda Rong, Shivam Duggal, Shenlong Wang, Xinchen Yan, Sivabalan Manivasagam, Shangjie Xue, Ersin Yumer, Raquel Urtasun

CoRL 2021 Just Label What You Need: Fine-Grained Active Selection for P&P Through Partially Labeled Scenes Sean Segal, Nishanth Kumar, Sergio Casas, Wenyuan Zeng, Mengye Ren, Jingkang Wang, Raquel Urtasun

ICCV 2021 LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving Alexander Cui, Sergio Casas, Abbas Sadat, Renjie Liao, Raquel Urtasun

CVPR 2021 MP3: A Unified Model to mAP, Perceive, Predict and Plan Sergio Casas, Abbas Sadat, Raquel Urtasun

UAI 2021 NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation Xiaohui Zeng, Raquel Urtasun, Richard Zemel, Sanja Fidler, Renjie Liao

CVPR 2021 Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks Julieta Martinez, Jashan Shewakramani, Ting Wei Liu, Ioan Andrei Barsan, Wenyuan Zeng, Raquel Urtasun

CVPR 2021 S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling Ze Yang, Shenlong Wang, Sivabalan Manivasagam, Zeng Huang, Wei-Chiu Ma, Xinchen Yan, Ersin Yumer, Raquel Urtasun

CVPR 2021 SceneGen: Learning to Generate Realistic Traffic Scenes Shuhan Tan, Kelvin Wong, Shenlong Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun

ICCV 2021 Self-Supervised Representation Learning from Flow Equivariance Yuwen Xiong, Mengye Ren, Wenyuan Zeng, Raquel Urtasun

CVPR 2021 TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors Simon Suo, Sebastian Regalado, Sergio Casas, Raquel Urtasun

ECCV 2020 Conditional Entropy Coding for Efficient Video Compression Jerry Liu, Shenlong Wang, Wei-Chiu Ma, Meet Shah, Rui Hu, Pranaab Dhawan, Raquel Urtasun

ECCV 2020 DSDNet: Deep Structured Self-Driving Network Wenyuan Zeng, Shenlong Wang, Renjie Liao, Yun Chen, Bin Yang, Raquel Urtasun

ECCV 2020 Deep Feedback Inverse Problem Solver Wei-Chiu Ma, Shenlong Wang, Jiayuan Gu, Sivabalan Manivasagam, Antonio Torralba, Raquel Urtasun

ICML 2020 Hierarchical Verification for Adversarial Robustness Cong Han Lim, Raquel Urtasun, Ersin Yumer

ECCV 2020 Implicit Latent Variable Model for Scene-Consistent Motion Forecasting Sergio Casas, Cole Gulino, Simon Suo, Katie Luo, Renjie Liao, Raquel Urtasun

ECCV 2020 Learning Lane Graph Representations for Motion Forecasting Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao, Song Feng, Raquel Urtasun

CoRL 2020 Learning to Communicate and Correct Pose Errors Nicholas Vadivelu, Mengye Ren, James Tu, Jingkang Wang, Raquel Urtasun

ECCV 2020 LevelSet R-CNN: A Deep Variational Method for Instance Segmentation Namdar Homayounfar, Yuwen Xiong, Justin Liang, Wei-Chiu Ma, Raquel Urtasun

CoRL 2020 LiRaNet: End-to-End Trajectory Prediction Using Spatio-Temporal Radar Fusion Meet Shah, Zhiling Huang, Ankit Laddha, Matthew Langford, Blake Barber, Sida Zhang, Carlos Vallespi-Gonzalez, Raquel Urtasun

NeurIPS 2020 LoCo: Local Contrastive Representation Learning Yuwen Xiong, Mengye Ren, Raquel Urtasun

NeurIPS 2020 MuSCLE: Multi Sweep Compression of LiDAR Using Deep Entropy Models Sourav Biswas, Jerry Liu, Kelvin Wong, Shenlong Wang, Raquel Urtasun

ICML 2020 Multi-Agent Routing Value Iteration Network Quinlan Sykora, Mengye Ren, Raquel Urtasun

ECCV 2020 Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations Abbas Sadat, Sergio Casas, Mengye Ren, Xinyu Wu, Pranaab Dhawan, Raquel Urtasun

ECCV 2020 RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects Bin Yang, Runsheng Guo, Ming Liang, Sergio Casas, Raquel Urtasun

CoRL 2020 Recovering and Simulating Pedestrians in the Wild Ze Yang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wei-Chiu Ma, Raquel Urtasun

CoRL 2020 StrObe: Streaming Object Detection from LiDAR Packets Davi Frossard, Shun Da Suo, Sergio Casas, James Tu, Raquel Urtasun

ECCV 2020 Testing the Safety of Self-Driving Vehicles by Simulating Perception and Prediction Kelvin Wong, Qiang Zhang, Ming Liang, Bin Yang, Renjie Liao, Abbas Sadat, Raquel Urtasun

CoRL 2020 Universal Embeddings for Spatio-Temporal Tagging of Self-Driving Logs Sean Segal, Eric Kee, Wenjie Luo, Abbas Sadat, Ersin Yumer, Raquel Urtasun

ECCV 2020 V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wenyuan Zeng, Raquel Urtasun

ECCV 2020 Weakly-Supervised 3D Shape Completion in the Wild Jiayuan Gu, Wei-Chiu Ma, Sivabalan Manivasagam, Wenyuan Zeng, Zihao Wang, Yuwen Xiong, Hao Su, Raquel Urtasun

ICLR 2019 Dimensionality Reduction for Representing the Knowledge of Probabilistic Models Marc T Law, Jake Snell, Amir-massoud Farahmand, Raquel Urtasun, Richard S Zemel

CoRL 2019 Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction Ajay Jain, Sergio Casas, Renjie Liao, Yuwen Xiong, Song Feng, Sean Segal, Raquel Urtasun

NeurIPS 2019 Efficient Graph Generation with Graph Recurrent Attention Networks Renjie Liao, Yujia Li, Yang Song, Shenlong Wang, Will Hamilton, David K. Duvenaud, Raquel Urtasun, Richard Zemel

ICLR 2019 Graph HyperNetworks for Neural Architecture Search Chris Zhang, Mengye Ren, Raquel Urtasun

CoRL 2019 Identifying Unknown Instances for Autonomous Driving Kelvin Wong, Shenlong Wang, Mengye Ren, Ming Liang, Raquel Urtasun

ICLR 2019 LanczosNet: Multi-Scale Deep Graph Convolutional Networks Renjie Liao, Zhizhen Zhao, Raquel Urtasun, Richard Zemel

ECCV 2018 Deep Continuous Fusion for Multi-Sensor 3D Object Detection Ming Liang, Bin Yang, Shenlong Wang, Raquel Urtasun

ECCV 2018 End-to-End Deep Structured Models for Drawing Crosswalks Justin Liang, Raquel Urtasun

CoRL 2018 HDNET: Exploiting HD Maps for 3D Object Detection Bin Yang, Ming Liang, Raquel Urtasun

CoRL 2018 IntentNet: Learning to Predict Intention from Raw Sensor Data Sergio Casas, Wenjie Luo, Raquel Urtasun

CoRL 2018 Learning to Localize Using a LiDAR Intensity mAP Ioan Andrei Barsan, Shenlong Wang, Andrei Pokrovsky, Raquel Urtasun

ICML 2018 Learning to Reweight Examples for Robust Deep Learning Mengye Ren, Wenyuan Zeng, Bin Yang, Raquel Urtasun

NeurIPS 2018 Neural Guided Constraint Logic Programming for Program Synthesis Lisa Zhang, Gregory Rosenblatt, Ethan Fetaya, Renjie Liao, William Byrd, Matthew Might, Raquel Urtasun, Richard Zemel

ICML 2018 Reviving and Improving Recurrent Back-Propagation Renjie Liao, Yuwen Xiong, Ethan Fetaya, Lisa Zhang, KiJung Yoon, Xaq Pitkow, Raquel Urtasun, Richard Zemel

ECCV 2018 Single Image Intrinsic Decomposition Without a Single Intrinsic Image Wei-Chiu Ma, Hang Chu, Bolei Zhou, Raquel Urtasun, Antonio Torralba

ICCV 2017 3D Graph Neural Networks for RGBD Semantic Segmentation Xiaojuan Qi, Renjie Liao, Jiaya Jia, Sanja Fidler, Raquel Urtasun

CVPR 2017 Annotating Object Instances with a Polygon-RNN Lluis Castrejon, Kaustav Kundu, Raquel Urtasun, Sanja Fidler

ICCV 2017 Be Your Own Prada: Fashion Synthesis with Structural Coherence Shizhan Zhu, Raquel Urtasun, Sanja Fidler, Dahua Lin, Chen Change Loy

ICML 2017 Deep Spectral Clustering Learning Marc T. Law, Raquel Urtasun, Richard S. Zemel

CVPR 2017 Deep Watershed Transform for Instance Segmentation Min Bai, Raquel Urtasun

ICCV 2017 DeepRoadMapper: Extracting Road Topology from Aerial Images Gellert Mattyus, Wenjie Luo, Raquel Urtasun

CVPR 2017 Efficient Multiple Instance Metric Learning Using Weakly Supervised Data Marc T. Law, Yaoliang Yu, Raquel Urtasun, Richard S. Zemel, Eric P. Xing

NeurIPS 2017 Few-Shot Learning Through an Information Retrieval Lens Eleni Triantafillou, Richard Zemel, Raquel Urtasun

ICLR 2017 Joint Embeddings of Scene Graphs and Images Eugene Belilovsky, Matthew B. Blaschko, Jamie Ryan Kiros, Raquel Urtasun, Richard S. Zemel

ICLR 2017 Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes Mengye Ren, Renjie Liao, Raquel Urtasun, Fabian H. Sinz, Richard S. Zemel

ICCV 2017 SGN: Sequential Grouping Networks for Instance Segmentation Shu Liu, Jiaya Jia, Sanja Fidler, Raquel Urtasun

ICCV 2017 Situation Recognition with Graph Neural Networks Ruiyu Li, Makarand Tapaswi, Renjie Liao, Jiaya Jia, Raquel Urtasun, Sanja Fidler

ICLR 2017 Song from PI: A Musically Plausible Network for Pop Music Generation Hang Chu, Raquel Urtasun, Sanja Fidler

CVPR 2017 Sports Field Localization via Deep Structured Models Namdar Homayounfar, Sanja Fidler, Raquel Urtasun

NeurIPS 2017 The Reversible Residual Network: Backpropagation Without Storing Activations Aidan N Gomez, Mengye Ren, Raquel Urtasun, Roger B Grosse

ICCV 2017 TorontoCity: Seeing the World with a Million Eyes Shenlong Wang, Min Bai, Gellert Mattyus, Hang Chu, Wenjie Luo, Bin Yang, Justin Liang, Joel Cheverie, Sanja Fidler, Raquel Urtasun

ICCV 2017 Towards Diverse and Natural Image Descriptions via a Conditional GAN Bo Dai, Sanja Fidler, Raquel Urtasun, Dahua Lin

JMLR 2016 Blending Learning and Inference in Conditional Random Fields Tamir Hazan, Alexander G. Schwing, Raquel Urtasun

CVPR 2016 Efficient Deep Learning for Stereo Matching Wenjie Luo, Alexander G. Schwing, Raquel Urtasun

ECCV 2016 Exploiting Semantic Information and Deep Matching for Optical Flow Min Bai, Wenjie Luo, Kaustav Kundu, Raquel Urtasun

CVPR 2016 HD Maps: Fine-Grained Road Segmentation by Parsing Ground and Aerial Images Gellert Mattyus, Shenlong Wang, Sanja Fidler, Raquel Urtasun

ECCV 2016 HouseCraft: Building Houses from Rental Ads and Street Views Hang Chu, Shenlong Wang, Raquel Urtasun, Sanja Fidler

CVPR 2016 Instance-Level Segmentation for Autonomous Driving with Deep Densely Connected MRFs Ziyu Zhang, Sanja Fidler, Raquel Urtasun

NeurIPS 2016 Learning Deep Parsimonious Representations Renjie Liao, Alex Schwing, Richard Zemel, Raquel Urtasun

CVPR 2016 Monocular 3D Object Detection for Autonomous Driving Xiaozhi Chen, Kaustav Kundu, Ziyu Zhang, Huimin Ma, Sanja Fidler, Raquel Urtasun

CVPR 2016 MovieQA: Understanding Stories in Movies Through Question-Answering Makarand Tapaswi, Yukun Zhu, Rainer Stiefelhagen, Antonio Torralba, Raquel Urtasun, Sanja Fidler

ICLR 2016 Order-Embeddings of Images and Language Ivan Vendrov, Ryan Kiros, Sanja Fidler, Raquel Urtasun

NeurIPS 2016 Proximal Deep Structured Models Shenlong Wang, Sanja Fidler, Raquel Urtasun

AISTATS 2016 Sequential Inference for Deep Gaussian Process Yali Wang, Marcus A. Brubaker, Brahim Chaib-draa, Raquel Urtasun

ICML 2016 Training Deep Neural Networks via Direct Loss Minimization Yang Song, Alexander Schwing, Richard, Raquel Urtasun

NeurIPS 2016 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks Wenjie Luo, Yujia Li, Raquel Urtasun, Richard Zemel

NeurIPS 2015 3D Object Proposals for Accurate Object Class Detection Xiaozhi Chen, Kaustav Kundu, Yukun Zhu, Andrew G Berneshawi, Huimin Ma, Sanja Fidler, Raquel Urtasun

ICCV 2015 Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books Yukun Zhu, Ryan Kiros, Rich Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, Sanja Fidler

ICCV 2015 Enhancing Road Maps by Parsing Aerial Images Around the World Gellert Mattyus, Shenlong Wang, Sanja Fidler, Raquel Urtasun

WACV 2015 Estimating Drivable Collision-Free Space from Monocular Video Jian Yao, Srikumar Ramalingam, Yuichi Taguchi, Yohei Miki, Raquel Urtasun

ICCV 2015 FollowMe: Efficient Online Min-Cost Flow Tracking with Bounded Memory and Computation Philip Lenz, Andreas Geiger, Raquel Urtasun

CVPR 2015 Holistic 3D Scene Understanding from a Single Geo-Tagged Image Shenlong Wang, Sanja Fidler, Raquel Urtasun

ICML 2015 Learning Deep Structured Models Liang-Chieh Chen, Alexander Schwing, Alan Yuille, Raquel Urtasun

ICLR 2015 Learning Deep Structured Models Liang-Chieh Chen, Alexander G. Schwing, Alan L. Yuille, Raquel Urtasun

CVPR 2015 Learning to Segment Under Various Forms of Weak Supervision Jia Xu, Alexander G. Schwing, Raquel Urtasun

ICCV 2015 Lost Shopping! Monocular Localization in Large Indoor Spaces Shenlong Wang, Sanja Fidler, Raquel Urtasun

ICCV 2015 Monocular Object Instance Segmentation and Depth Ordering with CNNs Ziyu Zhang, Alexander G. Schwing, Sanja Fidler, Raquel Urtasun

CVPR 2015 Neuroaesthetics in Fashion: Modeling the Perception of Fashionability Edgar Simo-Serra, Sanja Fidler, Francesc Moreno-Noguer, Raquel Urtasun

CVPR 2015 Real-Time Coarse-to-Fine Topologically Preserving Segmentation Jian Yao, Marko Boben, Sanja Fidler, Raquel Urtasun

CVPR 2015 Rent3D: Floor-Plan Priors for Monocular Layout Estimation Chenxi Liu, Alexander G. Schwing, Kaustav Kundu, Raquel Urtasun, Sanja Fidler

NeurIPS 2015 Skip-Thought Vectors Ryan Kiros, Yukun Zhu, Ruslan Salakhutdinov, Richard Zemel, Raquel Urtasun, Antonio Torralba, Sanja Fidler

CVPR 2015 segDeepM: Exploiting Segmentation and Context in Deep Neural Networks for Object Detection Yukun Zhu, Raquel Urtasun, Ruslan Salakhutdinov, Sanja Fidler

UAI 2014 Bayesian Filtering with Online Gaussian Process Latent Variable Models Yali Wang, Marcus A. Brubaker, Brahim Chaib-draa, Raquel Urtasun

CVPR 2014 Beat the MTurkers: Automatic Image Labeling from Weak 3D Supervision Liang-Chieh Chen, Sanja Fidler, Alan L. Yuille, Raquel Urtasun

CVPR 2014 Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts Xianjie Chen, Roozbeh Mottaghi, Xiaobai Liu, Sanja Fidler, Raquel Urtasun, Alan Yuille

NeurIPS 2014 Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials Shenlong Wang, Alex Schwing, Raquel Urtasun

ECCV 2014 Efficient Joint Segmentation, Occlusion Labeling, Stereo and Flow Estimation Koichiro Yamaguchi, David A. McAllester, Raquel Urtasun

ICML 2014 Globally Convergent Parallel MAP LP Relaxation Solver Using the Frank-Wolfe Algorithm Alexander Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun

NeurIPS 2014 Message Passing Inference for Large Scale Graphical Models with High Order Potentials Jian Zhang, Alex Schwing, Raquel Urtasun

CVPR 2014 Tell Me What You See and I Will Show You Where It Is Jia Xu, Alexander G. Schwing, Raquel Urtasun

CVPR 2014 The Role of Context for Object Detection and Semantic Segmentation in the Wild Roozbeh Mottaghi, Xianjie Chen, Xiaobai Liu, Nam-Gyu Cho, Seong-Whan Lee, Sanja Fidler, Raquel Urtasun, Alan Yuille

CVPR 2014 Visual Semantic Search: Retrieving Videos via Complex Textual Queries Dahua Lin, Sanja Fidler, Chen Kong, Raquel Urtasun

CVPR 2014 What Are You Talking About? Text-to-Image Coreference Chen Kong, Dahua Lin, Mohit Bansal, Raquel Urtasun, Sanja Fidler

CVPR 2013 A Sentence Is Worth a Thousand Pixels Sanja Fidler, Abhishek Sharma, Raquel Urtasun

CVPR 2013 Analyzing Semantic Segmentation Using Hybrid Human-Machine CRFs Roozbeh Mottaghi, Sanja Fidler, Jian Yao, Raquel Urtasun, Devi Parikh

CVPR 2013 Bottom-up Segmentation for Top-Down Detection Sanja Fidler, Roozbeh Mottaghi, Alan Yuille, Raquel Urtasun

ICCV 2013 Box in the Box: Joint 3D Layout and Object Reasoning from Single Images Alexander G. Schwing, Sanja Fidler, Marc Pollefeys, Raquel Urtasun

ICCV 2013 Estimating the 3D Layout of Indoor Scenes and Its Clutter from Depth Sensors Jian Zhang, Chen Kan, Alexander G. Schwing, Raquel Urtasun

ICCV 2013 Holistic Scene Understanding for 3D Object Detection with RGBD Cameras Dahua Lin, Sanja Fidler, Raquel Urtasun

NeurIPS 2013 Latent Structured Active Learning Wenjie Luo, Alex Schwing, Raquel Urtasun

CVPR 2013 Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization Marcus A. Brubaker, Andreas Geiger, Raquel Urtasun

CVPR 2013 Robust Monocular Epipolar Flow Estimation Koichiro Yamaguchi, David McAllester, Raquel Urtasun

ICCV 2013 Understanding High-Level Semantics by Modeling Traffic Patterns Hongyi Zhang, Andreas Geiger, Raquel Urtasun

NeurIPS 2012 3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model Sanja Fidler, Sven Dickinson, Raquel Urtasun

CVPR 2012 A Constrained Latent Variable Model Aydin Varol, Mathieu Salzmann, Pascal Fua, Raquel Urtasun

AISTATS 2012 A Family of MCMC Methods on Implicitly Defined Manifolds Marcus Brubaker, Mathieu Salzmann, Raquel Urtasun

CVPR 2012 Are We Ready for Autonomous Driving? the KITTI Vision Benchmark Suite Andreas Geiger, Philip Lenz, Raquel Urtasun

ECCV 2012 Beyond Feature Points: Structured Prediction for Monocular Non-Rigid 3D Reconstruction Mathieu Salzmann, Raquel Urtasun

ECCV 2012 Continuous Markov Random Fields for Robust Stereo Estimation Koichiro Yamaguchi, Tamir Hazan, David A. McAllester, Raquel Urtasun

CVPR 2012 Describing the Scene as a Whole: Joint Object Detection, Scene Classification and Semantic Segmentation Jian Yao, Sanja Fidler, Raquel Urtasun

ECCV 2012 Efficient Exact Inference for 3D Indoor Scene Understanding Alexander G. Schwing, Raquel Urtasun

CVPR 2012 Efficient Structured Prediction for 3D Indoor Scene Understanding Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun

ICML 2012 Efficient Structured Prediction with Latent Variables for General Graphical Models Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun

NeurIPS 2012 Globally Convergent Dual MAP LP Relaxation Solvers Using Fenchel-Young Margins Alex Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun

CVPR 2011 A Generative Model for 3D Urban Scene Understanding from Movable Platforms Andreas Geiger, Martin Lauer, Raquel Urtasun

ICML 2011 Convex Max-Product over Compact Sets for Protein Folding Jian Peng, Tamir Hazan, David A. McAllester, Raquel Urtasun

CVPR 2011 Distributed Message Passing for Large Scale Graphical Models Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun

NeurIPS 2011 Joint 3D Estimation of Objects and Scene Layout Andreas Geiger, Christian Wojek, Raquel Urtasun

NeurIPS 2011 Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities Angela Yao, Juergen Gall, Luc V. Gool, Raquel Urtasun

ICCV 2011 Physically-Based Motion Models for 3D Tracking: A Convex Formulation Mathieu Salzmann, Raquel Urtasun

CVPR 2011 Supervised Hierarchical Pitman-Yor Process for Natural Scene Segmentation Alex Shyr, Trevor Darrell, Michael I. Jordan, Raquel Urtasun

NeurIPS 2010 A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction Tamir Hazan, Raquel Urtasun

CVPR 2010 Combining Discriminative and Generative Methods for 3D Deformable Surface and Articulated Pose Reconstruction Mathieu Salzmann, Raquel Urtasun

AISTATS 2010 Factorized Orthogonal Latent Spaces Mathieu Salzmann, Carl Henrik Ek, Raquel Urtasun, Trevor Darrell

NeurIPS 2010 Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation Mathieu Salzmann, Raquel Urtasun

ECCV 2010 Learning to Recognize Objects from Unseen Modalities C. Mario Christoudias, Raquel Urtasun, Mathieu Salzmann, Trevor Darrell

NeurIPS 2010 Sparse Coding for Learning Interpretable Spatio-Temporal Primitives Taehwan Kim, Gregory Shakhnarovich, Raquel Urtasun

CVPR 2010 Sufficient Dimension Reduction for Visual Sequence Classification Alex Shyr, Raquel Urtasun, Michael I. Jordan

CVPR 2009 Co-Training with Noisy Perceptual Observations C. Mario Christoudias, Raquel Urtasun, Ashish Kapoor, Trevor Darrell

ICML 2009 Non-Linear Matrix Factorization with Gaussian Processes Neil D. Lawrence, Raquel Urtasun

CVPR 2009 Rank Priors for Continuous Non-Linear Dimensionality Reduction Andreas Geiger, Raquel Urtasun, Trevor Darrell

CVPR 2008 Local Deformation Models for Monocular 3D Shape Recovery Mathieu Salzmann, Raquel Urtasun, Pascal Fua

CVPR 2008 Sparse Probabilistic Regression for Activity-Independent Human Pose Inference Raquel Urtasun, Trevor Darrell

ICML 2008 Topologically-Constrained Latent Variable Models Raquel Urtasun, David J. Fleet, Andreas Geiger, Jovan Popovic, Trevor Darrell, Neil D. Lawrence

CVPR 2008 Unsupervised Feature Selection via Distributed Coding for Multi-View Object Recognition C. Mario Christoudias, Raquel Urtasun, Trevor Darrell

ICCV 2007 Active Learning with Gaussian Processes for Object Categorization Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Trevor Darrell

ICML 2007 Discriminative Gaussian Process Latent Variable Model for Classification Raquel Urtasun, Trevor Darrell

CVPR 2006 3D People Tracking with Gaussian Process Dynamical Models Raquel Urtasun, David J. Fleet, Pascal Fua

CVPR 2005 Monocular 3-D Tracking of the Golf Swing Raquel Urtasun, David J. Fleet, Pascal Fua

ICCV 2005 Priors for People Tracking from Small Training Sets Raquel Urtasun, David J. Fleet, Aaron Hertzmann, Pascal Fua

ECCV 2004 3D Human Body Tracking Using Deterministic Temporal Motion Models Raquel Urtasun, Pascal Fua

ECCV 2004 Hierarchical Implicit Surface Joint Limits to Constrain Video-Based Motion Capture Lorna Herda, Raquel Urtasun, Pascal Fua