Raquel Urtasun

425 papers A* 140A 19B 3Misc 19Journal 176Unranked 68

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FOMO-3D: Using Vision Foundation Models for Long-Tailed 3D Object Detection. CoRR Anqi Joyce Yang, James Tu, Nikita Dvornik, Enxu Li, Raquel Urtasun
2025	A*	`conf`	DIO: Decomposable Implicit 4D Occupancy-Flow World Model. CVPR Christopher Diehl, Quinlan Sykora, Ben Agro, Thomas Gilles, Sergio Casas, Raquel Urtasun
2025	J	`jnl`	Flux4D: Flow-based Unsupervised 4D Reconstruction. CoRR Jingkang Wang, Henry Che, Yun Chen, Ze Yang, Lily Goli, Sivabalan Manivasagam, Raquel Urtasun
2025	A*	`conf`	GenAssets: Generating in-the-wild 3D Assets in Latent Space. CVPR Ze Yang, Jingkang Wang, Haowei Zhang, Sivabalan Manivasagam, Yun Chen, Raquel Urtasun
2025	A*	`conf`	MAD: Memory-Augmented Detection of 3D Objects. CVPR Ben Agro, Sergio Casas, Patrick Wang, Thomas Gilles, Raquel Urtasun
2025	J	`jnl`	SaLF: Sparse Local Fields for Multi-Sensor Rendering in Real-Time. CoRR Yun Chen, Matthew Haines, Jingkang Wang, Krzysztof Baron-Lis, Sivabalan Manivasagam, Ze Yang, Raquel Urtasun
2024	A*	`conf`	Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion. ICLR Lunjun Zhang, Yuwen Xiong, Ze Yang, Sergio Casas, Rui Hu, Raquel Urtasun
2024	—	`conf`	DeTra: A Unified Model for Object Detection and Trajectory Forecasting. ECCV (88) Sergio Casas, Ben Agro, Jiageng Mao, Thomas Gilles, Alexander Cui, Thomas Li, Raquel Urtasun
2024	J	`jnl`	DeTra: A Unified Model for Object Detection and Trajectory Forecasting. CoRR Sergio Casas, Ben Agro, Jiageng Mao, Thomas Gilles, Alexander Cui, Thomas Li, Raquel Urtasun
2024	—	`conf`	G3R: Gradient Guided Generalizable Reconstruction. ECCV (6) Yun Chen, Jingkang Wang, Ze Yang, Sivabalan Manivasagam, Raquel Urtasun
2024	J	`jnl`	G3R: Gradient Guided Generalizable Reconstruction. CoRR Yun Chen, Jingkang Wang, Ze Yang, Sivabalan Manivasagam, Raquel Urtasun
2024	—	`conf`	Learning to Drive via Asymmetric Self-Play. ECCV (62) Chris Zhang, Sourav Biswas, Kelvin Wong, Kion Fallah, Lunjun Zhang, Dian Chen, Sergio Casas, Raquel Urtasun
2024	J	`jnl`	Learning to Drive via Asymmetric Self-Play. CoRR Chris Zhang, Sourav Biswas, Kelvin Wong, Kion Fallah, Lunjun Zhang, Dian Chen, Sergio Casas, Raquel Urtasun
2024	A*	`conf`	QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving. ICRA Sourav Biswas, Sergio Casas, Quinlan Sykora, Ben Agro, Abbas Sadat, Raquel Urtasun
2024	J	`jnl`	QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving. CoRR Sourav Biswas, Sergio Casas, Quinlan Sykora, Ben Agro, Abbas Sadat, Raquel Urtasun
2024	A*	`conf`	SceneControl: Diffusion for Controllable Traffic Scene Generation. ICRA Jack Lu, Kelvin Wong, Chris Zhang, Simon Suo, Raquel Urtasun
2024	A*	`conf`	UnO: Unsupervised Occupancy Fields for Perception and Forecasting. CVPR Ben Agro, Quinlan Sykora, Sergio Casas, Thomas Gilles, Raquel Urtasun
2024	J	`jnl`	UnO: Unsupervised Occupancy Fields for Perception and Forecasting. CoRR Ben Agro, Quinlan Sykora, Sergio Casas, Thomas Gilles, Raquel Urtasun
2024	—	`conf`	UniCal: Unified Neural Sensor Calibration. ECCV (36) Ze Yang, George Chen, Haowei Zhang, Kevin Ta, Ioan Andrei Bârsan, Daniel Murphy, Sivabalan Manivasagam, Raquel Urtasun
2024	J	`jnl`	UniCal: Unified Neural Sensor Calibration. CoRR Ze Yang, George Chen, Haowei Zhang, Kevin Ta, Ioan Andrei Bârsan, Daniel Murphy, Sivabalan Manivasagam, Raquel Urtasun
2023	Misc	`conf`	4D-Former: Multimodal 4D Panoptic Segmentation. CoRL Ali Athar, Enxu Li, Sergio Casas, Raquel Urtasun
2023	J	`jnl`	4D-Former: Multimodal 4D Panoptic Segmentation. CoRR Ali Athar, Enxu Li, Sergio Casas, Raquel Urtasun
2023	Misc	`conf`	Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation. CoRL Jay Sarva, Jingkang Wang, James Tu, Yuwen Xiong, Sivabalan Manivasagam, Raquel Urtasun
2023	J	`jnl`	Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation. CoRR Jay Sarva, Jingkang Wang, James Tu, Yuwen Xiong, Sivabalan Manivasagam, Raquel Urtasun
2023	J	`jnl`	CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation. CoRR Jingkang Wang, Sivabalan Manivasagam, Yun Chen, Ze Yang, Ioan Andrei Bârsan, Anqi Joyce Yang, Wei-Chiu Ma, Raquel Urtasun
2023	A*	`conf`	GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting. ICRA Alexander Cui, Sergio Casas, Kelvin Wong, Simon Suo, Raquel Urtasun
2023	A*	`conf`	Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving. CVPR Ben Agro, Quinlan Sykora, Sergio Casas, Raquel Urtasun
2023	J	`jnl`	Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving. CoRR Ben Agro, Quinlan Sykora, Sergio Casas, Raquel Urtasun
2023	Misc	`conf`	LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds. CoRL Anqi Joyce Yang, Sergio Casas, Nikita Dvornik, Sean Segal, Yuwen Xiong, Jordan Sir Kwang Hu, Carter Fang, Raquel Urtasun
2023	J	`jnl`	LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds. CoRR Anqi Joyce Yang, Sergio Casas, Nikita Dvornik, Sean Segal, Yuwen Xiong, Jordan Sir Kwang Hu, Carter Fang, Raquel Urtasun
2023	A*	`conf`	Learning Compact Representations for LiDAR Completion and Generation. CVPR Yuwen Xiong, Wei-Chiu Ma, Jingkang Wang, Raquel Urtasun
2023	Misc	`conf`	Learning Realistic Traffic Agents in Closed-loop. CoRL Chris Zhang, James Tu, Lunjun Zhang, Kelvin Wong, Simon Suo, Raquel Urtasun
2023	J	`jnl`	Learning Realistic Traffic Agents in Closed-loop. CoRR Chris Zhang, James Tu, Lunjun Zhang, Kelvin Wong, Simon Suo, Raquel Urtasun
2023	J	`jnl`	Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion. CoRR Lunjun Zhang, Yuwen Xiong, Ze Yang, Sergio Casas, Rui Hu, Raquel Urtasun
2023	J	`jnl`	LightSim: Neural Lighting Simulation for Urban Scenes. CoRR Ava Pun, Gary Sun, Jingkang Wang, Yun Chen, Ze Yang, Sivabalan Manivasagam, Wei-Chiu Ma, Raquel Urtasun
2023	A*	`conf`	MIXSIM: A Hierarchical Framework for Mixed Reality Traffic Simulation. CVPR Simon Suo, Kelvin Wong, Justin Xu, James Tu, Alexander Cui, Sergio Casas, Raquel Urtasun
2023	A*	`conf`	MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory. ICCV Enxu Li, Sergio Casas, Raquel Urtasun
2023	J	`jnl`	MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory. CoRR Enxu Li, Sergio Casas, Raquel Urtasun
2023	A*	`conf`	Neural Lighting Simulation for Urban Scenes. NeurIPS Ava Pun, Gary Sun, Jingkang Wang, Yun Chen, Ze Yang, Sivabalan Manivasagam, Wei-Chiu Ma, Raquel Urtasun
2023	A*	`conf`	Real-Time Neural Rasterization for Large Scenes. ICCV Jeffrey Yunfan Liu, Yun Chen, Ze Yang, Jingkang Wang, Sivabalan Manivasagam, Raquel Urtasun
2023	J	`jnl`	Real-Time Neural Rasterization for Large Scenes. CoRR Jeffrey Yunfan Liu, Yun Chen, Ze Yang, Jingkang Wang, Sivabalan Manivasagam, Raquel Urtasun
2023	A*	`conf`	Reconstructing Objects in-the-wild for Realistic Sensor Simulation. ICRA Ze Yang, Sivabalan Manivasagam, Yun Chen, Jingkang Wang, Rui Hu, Raquel Urtasun
2023	J	`jnl`	Reconstructing Objects in-the-wild for Realistic Sensor Simulation. CoRR Ze Yang, Sivabalan Manivasagam, Yun Chen, Jingkang Wang, Rui Hu, Raquel Urtasun
2023	J	`jnl`	Rethinking Closed-loop Training for Autonomous Driving. CoRR Chris Zhang, Runsheng Guo, Wenyuan Zeng, Yuwen Xiong, Binbin Dai, Rui Hu, Mengye Ren, Raquel Urtasun
2023	Misc	`conf`	Towards Scalable Coverage-Based Testing of Autonomous Vehicles. CoRL James Tu, Simon Suo, Chris Zhang, Kelvin Wong, Raquel Urtasun
2023	J	`jnl`	Towards Unsupervised Object Detection From LiDAR Point Clouds. CoRR Lunjun Zhang, Anqi Joyce Yang, Yuwen Xiong, Sergio Casas, Bin Yang, Mengye Ren, Raquel Urtasun
2023	A*	`conf`	Towards Unsupervised Object Detection from LiDAR Point Clouds. CVPR Lunjun Zhang, Anqi Joyce Yang, Yuwen Xiong, Sergio Casas, Bin Yang, Mengye Ren, Raquel Urtasun
2023	A*	`conf`	Towards Zero Domain Gap: A Comprehensive Study of Realistic LiDAR Simulation for Autonomy Testing. ICCV Sivabalan Manivasagam, Ioan Andrei Bârsan, Jingkang Wang, Ze Yang, Raquel Urtasun
2023	J	`jnl`	UltraLiDAR: Learning Compact Representations for LiDAR Completion and Generation. CoRR Yuwen Xiong, Wei-Chiu Ma, Jingkang Wang, Raquel Urtasun
2023	A*	`conf`	UniSim: A Neural Closed-Loop Sensor Simulator. CVPR Ze Yang, Yun Chen, Jingkang Wang, Sivabalan Manivasagam, Wei-Chiu Ma, Anqi Joyce Yang, Raquel Urtasun
2023	J	`jnl`	UniSim: A Neural Closed-Loop Sensor Simulator. CoRR Ze Yang, Yun Chen, Jingkang Wang, Sivabalan Manivasagam, Wei-Chiu Ma, Anqi Joyce Yang, Raquel Urtasun
2022	Misc	`conf`	CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation. CoRL Jingkang Wang, Sivabalan Manivasagam, Yun Chen, Ze Yang, Ioan Andrei Barsan, Anqi Joyce Yang, Wei-Chiu Ma, Raquel Urtasun
2022	J	`jnl`	GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal Estimation. IEEE Trans. Pattern Anal. Mach. Intell. Xiaojuan Qi, Zhengzhe Liu, Renjie Liao, Philip H. S. Torr, Raquel Urtasun, Jiaya Jia
2022	J	`jnl`	GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting. CoRR Alexander Cui, Sergio Casas, Kelvin Wong, Simon Suo, Raquel Urtasun
2022	A	`conf`	Mending Neural Implicit Modeling for 3D Vehicle Reconstruction in the Wild. WACV Shivam Duggal, Zihao Wang, Wei-Chiu Ma, Sivabalan Manivasagam, Justin Liang, Shenlong Wang, Raquel Urtasun
2022	—	`conf`	Rethinking Closed-Loop Training for Autonomous Driving. ECCV (39) Chris Zhang, Runsheng Guo, Wenyuan Zeng, Yuwen Xiong, Binbin Dai, Rui Hu, Mengye Ren, Raquel Urtasun
2022	A*	`conf`	Virtual Correspondence: Humans as a Cue for Extreme-View Geometry. CVPR Wei-Chiu Ma, Anqi Joyce Yang, Shenlong Wang, Raquel Urtasun, Antonio Torralba
2022	J	`jnl`	Virtual Correspondence: Humans as a Cue for Extreme-View Geometry. CoRR Wei-Chiu Ma, Anqi Joyce Yang, Shenlong Wang, Raquel Urtasun, Antonio Torralba
2021	A*	`conf`	A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks. ICLR Renjie Liao, Raquel Urtasun, Richard S. Zemel
2021	A*	`conf`	AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles. CVPR Jingkang Wang, Ava Pun, James Tu, Sivabalan Manivasagam, Abbas Sadat, Sergio Casas, Mengye Ren, Raquel Urtasun
2021	J	`jnl`	AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles. CoRR Jingkang Wang, Ava Pun, James Tu, Sivabalan Manivasagam, Abbas Sadat, Sergio Casas, Mengye Ren, Raquel Urtasun
2021	A*	`conf`	Adversarial Attacks On Multi-Agent Communication. ICCV James Tu, Tsun-Hsuan Wang, Jingkang Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun
2021	J	`jnl`	Adversarial Attacks On Multi-Agent Communication. CoRR James Tu, Tsun-Hsuan Wang, Jingkang Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun
2021	A*	`conf`	Asynchronous Multi-View SLAM. ICRA Anqi Joyce Yang, Can Cui, Ioan Andrei Bârsan, Raquel Urtasun, Shenlong Wang
2021	J	`jnl`	Asynchronous Multi-View SLAM. CoRR Anqi Joyce Yang, Can Cui, Ioan Andrei Bârsan, Raquel Urtasun, Shenlong Wang
2021	J	`jnl`	Auto4D: Learning to Label 4D Objects from Sequential Point Clouds. CoRR Bin Yang, Min Bai, Ming Liang, Wenyuan Zeng, Raquel Urtasun
2021	J	`jnl`	Cost-Efficient Online Hyperparameter Optimization. CoRR Jingkang Wang, Mengye Ren, Ilija Bogunovic, Yuwen Xiong, Raquel Urtasun
2021	J	`jnl`	Deep Feedback Inverse Problem Solver. CoRR Wei-Chiu Ma, Shenlong Wang, Jiayuan Gu, Sivabalan Manivasagam, Antonio Torralba, Raquel Urtasun
2021	A*	`conf`	Deep Multi-Task Learning for Joint Localization, Perception, and Prediction. CVPR John Phillips, Julieta Martinez, Ioan Andrei Barsan, Sergio Casas, Abbas Sadat, Raquel Urtasun
2021	J	`jnl`	Deep Multi-Task Learning for Joint Localization, Perception, and Prediction. CoRR John Phillips, Julieta Martinez, Ioan Andrei Bârsan, Sergio Casas, Abbas Sadat, Raquel Urtasun
2021	J	`jnl`	Deep Parametric Continuous Convolutional Neural Networks. CoRR Shenlong Wang, Simon Suo, Wei-Chiu Ma, Andrei Pokrovsky, Raquel Urtasun
2021	A*	`conf`	Deep Structured Reactive Planning. ICRA Jerry Liu, Wenyuan Zeng, Raquel Urtasun, Ersin Yumer
2021	J	`jnl`	Deep Structured Reactive Planning. CoRR Jerry Liu, Wenyuan Zeng, Raquel Urtasun, Ersin Yumer
2021	A	`conf`	Diverse Complexity Measures for Dataset Curation in Self-Driving. IROS Abbas Sadat, Sean Segal, Sergio Casas, James Tu, Bin Yang, Raquel Urtasun, Ersin Yumer
2021	J	`jnl`	Diverse Complexity Measures for Dataset Curation in Self-driving. CoRR Abbas Sadat, Sean Segal, Sergio Casas, James Tu, Bin Yang, Raquel Urtasun, Ersin Yumer
2021	J	`jnl`	End-to-end Interpretable Neural Motion Planner. CoRR Wenyuan Zeng, Wenjie Luo, Simon Suo, Abbas Sadat, Bin Yang, Sergio Casas, Raquel Urtasun
2021	J	`jnl`	Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving. CoRR James Tu, Huichen Li, Xinchen Yan, Mengye Ren, Yun Chen, Ming Liang, Eilyan Bitar, Ersin Yumer, Raquel Urtasun
2021	Misc	`conf`	Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving. CoRL James Tu, Huichen Li, Xinchen Yan, Mengye Ren, Yun Chen, Ming Liang, Eilyan Bitar, Ersin Yumer, Raquel Urtasun
2021	J	`jnl`	GeoSim: Photorealistic Image Simulation with Geometry-Aware Composition. CoRR Yun Chen, Frieda Rong, Shivam Duggal, Shenlong Wang, Xinchen Yan, Sivabalan Manivasagam, Shangjie Xue, Ersin Yumer, Raquel Urtasun
2021	A*	`conf`	GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving. CVPR Yun Chen, Frieda Rong, Shivam Duggal, Shenlong Wang, Xinchen Yan, Sivabalan Manivasagam, Shangjie Xue, Ersin Yumer, Raquel Urtasun
2021	J	`jnl`	IntentNet: Learning to Predict Intention from Raw Sensor Data. CoRR Sergio Casas, Wenjie Luo, Raquel Urtasun
2021	Misc	`conf`	Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes. CoRL Sean Segal, Nishanth Kumar, Sergio Casas, Wenyuan Zeng, Mengye Ren, Jingkang Wang, Raquel Urtasun
2021	J	`jnl`	Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes. CoRR Sean Segal, Nishanth Kumar, Sergio Casas, Wenyuan Zeng, Mengye Ren, Jingkang Wang, Raquel Urtasun
2021	A	`conf`	LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting. IROS Wenyuan Zeng, Ming Liang, Renjie Liao, Raquel Urtasun
2021	J	`jnl`	LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting. CoRR Wenyuan Zeng, Ming Liang, Renjie Liao, Raquel Urtasun
2021	A*	`conf`	LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving. ICCV Alexander Cui, Sergio Casas, Abbas Sadat, Renjie Liao, Raquel Urtasun
2021	J	`jnl`	LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving. CoRR Alexander Cui, Abbas Sadat, Sergio Casas, Renjie Liao, Raquel Urtasun
2021	A*	`conf`	MP3: A Unified Model To Map, Perceive, Predict and Plan. CVPR Sergio Casas, Abbas Sadat, Raquel Urtasun
2021	J	`jnl`	MP3: A Unified Model to Map, Perceive, Predict and Plan. CoRR Sergio Casas, Abbas Sadat, Raquel Urtasun
2021	A	`conf`	NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation. UAI Xiaohui Zeng, Raquel Urtasun, Richard S. Zemel, Sanja Fidler, Renjie Liao
2021	J	`jnl`	NP-DRAW: A Non-Parametric Structured Latent Variable Modelfor Image Generation. CoRR Xiaohui Zeng, Raquel Urtasun, Richard S. Zemel, Sanja Fidler, Renjie Liao
2021	J	`jnl`	Network Automatic Pruning: Start NAP and Take a Nap. CoRR Wenyuan Zeng, Yuwen Xiong, Raquel Urtasun
2021	J	`jnl`	Non-parametric Memory for Spatio-Temporal Segmentation of Construction Zones for Self-Driving. CoRR Min Bai, Shenlong Wang, Kelvin Wong, Ersin Yumer, Raquel Urtasun
2021	J	`jnl`	PLUME: Efficient 3D Object Detection from Stereo Images. CoRR Yan Wang, Bin Yang, Rui Hu, Ming Liang, Raquel Urtasun
2021	A	`conf`	PLUMENet: Efficient 3D Object Detection from Stereo Images. IROS Yan Wang, Bin Yang, Rui Hu, Ming Liang, Raquel Urtasun
2021	A*	`conf`	Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving. ICRA Bob Wei, Mengye Ren, Wenyuan Zeng, Ming Liang, Bin Yang, Raquel Urtasun
2021	A*	`conf`	Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks. CVPR Julieta Martinez, Jashan Shewakramani, Ting-Wei Liu, Ioan Andrei Barsan, Wenyuan Zeng, Raquel Urtasun
2021	A*	`conf`	S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling. CVPR Ze Yang, Shenlong Wang, Sivabalan Manivasagam, Zeng Huang, Wei-Chiu Ma, Xinchen Yan, Ersin Yumer, Raquel Urtasun
2021	J	`jnl`	S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling. CoRR Ze Yang, Shenlong Wang, Sivabalan Manivasagam, Zeng Huang, Wei-Chiu Ma, Xinchen Yan, Ersin Yumer, Raquel Urtasun
2021	J	`jnl`	Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting. CoRR Katie Luo, Sergio Casas, Renjie Liao, Xinchen Yan, Yuwen Xiong, Wenyuan Zeng, Raquel Urtasun
2021	A	`conf`	Safety-Oriented Pedestrian Occupancy Forecasting. IROS Katie Luo, Sergio Casas, Renjie Liao, Xinchen Yan, Yuwen Xiong, Wenyuan Zeng, Raquel Urtasun
2021	A*	`conf`	SceneGen: Learning To Generate Realistic Traffic Scenes. CVPR Shuhan Tan, Kelvin Wong, Shenlong Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun
2021	J	`jnl`	SceneGen: Learning to Generate Realistic Traffic Scenes. CoRR Shuhan Tan, Kelvin Wong, Shenlong Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun
2021	J	`jnl`	Secrets of 3D Implicit Object Shape Reconstruction in the Wild. CoRR Shivam Duggal, Zihao Wang, Wei-Chiu Ma, Sivabalan Manivasagam, Justin Liang, Shenlong Wang, Raquel Urtasun
2021	J	`jnl`	Self-Supervised Representation Learning from Flow Equivariance. CoRR Yuwen Xiong, Mengye Ren, Wenyuan Zeng, Raquel Urtasun
2021	A*	`conf`	TrafficSim: Learning To Simulate Realistic Multi-Agent Behaviors. CVPR Simon Suo, Sebastian Regalado, Sergio Casas, Raquel Urtasun
2021	J	`jnl`	TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors. CoRR Simon Suo, Sebastian Regalado, Sergio Casas, Raquel Urtasun
2021	J	`jnl`	VideoClick: Video Object Segmentation with a Single Click. CoRR Namdar Homayounfar, Justin Liang, Wei-Chiu Ma, Raquel Urtasun
2020	J	`jnl`	A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks. CoRR Renjie Liao, Raquel Urtasun, Richard S. Zemel
2020	—	`conf`	Conditional Entropy Coding for Efficient Video Compression. ECCV (17) Jerry Liu, Shenlong Wang, Wei-Chiu Ma, Meet Shah, Rui Hu, Pranaab Dhawan, Raquel Urtasun
2020	J	`jnl`	Conditional Entropy Coding for Efficient Video Compression. CoRR Jerry Liu, Shenlong Wang, Wei-Chiu Ma, Meet Shah, Rui Hu, Pranaab Dhawan, Raquel Urtasun
2020	J	`jnl`	Convolutional Recurrent Network for Road Boundary Extraction. CoRR Justin Liang, Namdar Homayounfar, Wei-Chiu Ma, Shenlong Wang, Raquel Urtasun
2020	J	`jnl`	DAGMapper: Learning to Map by Discovering Lane Topology. CoRR Namdar Homayounfar, Wei-Chiu Ma, Justin Liang, Xinyu Wu, Jack Fan, Raquel Urtasun
2020	—	`conf`	DSDNet: Deep Structured Self-driving Network. ECCV (21) Wenyuan Zeng, Shenlong Wang, Renjie Liao, Yun Chen, Bin Yang, Raquel Urtasun
2020	J	`jnl`	DSDNet: Deep Structured self-Driving Network. CoRR Wenyuan Zeng, Shenlong Wang, Renjie Liao, Yun Chen, Bin Yang, Raquel Urtasun
2020	J	`jnl`	Deep Continuous Fusion for Multi-Sensor 3D Object Detection. CoRR Ming Liang, Bin Yang, Shenlong Wang, Raquel Urtasun
2020	—	`conf`	Deep Feedback Inverse Problem Solver. ECCV (5) Wei-Chiu Ma, Shenlong Wang, Jiayuan Gu, Sivabalan Manivasagam, Antonio Torralba, Raquel Urtasun
2020	—	`conf`	Dense RepPoints: Representing Visual Objects with Dense Point Sets. ECCV (21) Ze Yang, Yinghao Xu, Han Xue, Zheng Zhang, Raquel Urtasun, Liwei Wang, Stephen Lin, Han Hu
2020	J	`jnl`	End-to-End Deep Structured Models for Drawing Crosswalks. CoRR Justin Liang, Raquel Urtasun
2020	A	`conf`	End-to-end Contextual Perception and Prediction with Interaction Transformer. IROS Lingyun Luke Li, Bin Yang, Ming Liang, Wenyuan Zeng, Mengye Ren, Sean Segal, Raquel Urtasun
2020	J	`jnl`	End-to-end Contextual Perception and Prediction with Interaction Transformer. CoRR Lingyun Luke Li, Bin Yang, Ming Liang, Wenyuan Zeng, Mengye Ren, Sean Segal, Raquel Urtasun
2020	J	`jnl`	Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net. CoRR Wenjie Luo, Bin Yang, Raquel Urtasun
2020	J	`jnl`	GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal Estimation. CoRR Xiaojuan Qi, Zhengzhe Liu, Renjie Liao, Philip H. S. Torr, Raquel Urtasun, Jiaya Jia
2020	J	`jnl`	HDNET: Exploiting HD Maps for 3D Object Detection. CoRR Bin Yang, Ming Liang, Raquel Urtasun
2020	J	`jnl`	Hierarchical Recurrent Attention Networks for Structured Online Maps. CoRR Namdar Homayounfar, Wei-Chiu Ma, Shrinidhi Kowshika Lakshmikanth, Raquel Urtasun
2020	A*	`conf`	Hierarchical Verification for Adversarial Robustness. ICML Cong Han Lim, Raquel Urtasun, Ersin Yumer
2020	J	`jnl`	Hierarchical Verification for Adversarial Robustness. CoRR Cong Han Lim, Raquel Urtasun, Ersin Yumer
2020	—	`conf`	Implicit Latent Variable Model for Scene-Consistent Motion Forecasting. ECCV (23) Sergio Casas, Cole Gulino, Simon Suo, Katie Luo, Renjie Liao, Raquel Urtasun
2020	J	`jnl`	Implicit Latent Variable Model for Scene-Consistent Motion Forecasting. CoRR Sergio Casas, Cole Gulino, Simon Suo, Katie Luo, Renjie Liao, Raquel Urtasun
2020	J	`jnl`	Learning Joint 2D-3D Representations for Depth Completion. CoRR Yun Chen, Bin Yang, Ming Liang, Raquel Urtasun
2020	—	`conf`	Learning Lane Graph Representations for Motion Forecasting. ECCV (2) Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao, Song Feng, Raquel Urtasun
2020	J	`jnl`	Learning Lane Graph Representations for Motion Forecasting. CoRR Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao, Song Feng, Raquel Urtasun
2020	Misc	`conf`	Learning to Communicate and Correct Pose Errors. CoRL Nicholas Vadivelu, Mengye Ren, James Tu, Jingkang Wang, Raquel Urtasun
2020	J	`jnl`	Learning to Communicate and Correct Pose Errors. CoRR Nicholas Vadivelu, Mengye Ren, James Tu, Jingkang Wang, Raquel Urtasun
2020	J	`jnl`	Learning to Localize Through Compressed Binary Maps. CoRR Xinkai Wei, Ioan Andrei Bârsan, Shenlong Wang, Julieta Martinez, Raquel Urtasun
2020	J	`jnl`	Learning to Localize Using a LiDAR Intensity Map. CoRR Ioan Andrei Bârsan, Shenlong Wang, Andrei Pokrovsky, Raquel Urtasun
2020	—	`conf`	LevelSet R-CNN: A Deep Variational Method for Instance Segmentation. ECCV (23) Namdar Homayounfar, Yuwen Xiong, Justin Liang, Wei-Chiu Ma, Raquel Urtasun
2020	J	`jnl`	LevelSet R-CNN: A Deep Variational Method for Instance Segmentation. CoRR Namdar Homayounfar, Yuwen Xiong, Justin Liang, Wei-Chiu Ma, Raquel Urtasun
2020	A*	`conf`	LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World. CVPR Sivabalan Manivasagam, Shenlong Wang, Kelvin Wong, Wenyuan Zeng, Mikita Sazanovich, Shuhan Tan, Bin Yang, Wei-Chiu Ma, Raquel Urtasun
2020	J	`jnl`	LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World. CoRR Sivabalan Manivasagam, Shenlong Wang, Kelvin Wong, Wenyuan Zeng, Mikita Sazanovich, Shuhan Tan, Bin Yang, Wei-Chiu Ma, Raquel Urtasun
2020	Misc	`conf`	LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion. CoRL Meet Shah, Zhiling Huang, Ankit Laddha, Matthew Langford, Blake Barber, Sida Zhang, Carlos Vallespi-Gonzalez, Raquel Urtasun
2020	J	`jnl`	LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion. CoRR Meet Shah, Zhiling Huang, Ankit Laddha, Matthew Langford, Blake Barber, Sidney Zhang, Carlos Vallespi-Gonzalez, Raquel Urtasun
2020	A*	`conf`	LoCo: Local Contrastive Representation Learning. NeurIPS Yuwen Xiong, Mengye Ren, Raquel Urtasun
2020	J	`jnl`	LoCo: Local Contrastive Representation Learning. CoRR Yuwen Xiong, Mengye Ren, Raquel Urtasun
2020	A*	`conf`	MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models. NeurIPS Sourav Biswas, Jerry Liu, Kelvin Wong, Shenlong Wang, Raquel Urtasun
2020	J	`jnl`	MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models. CoRR Sourav Biswas, Jerry Liu, Kelvin Wong, Shenlong Wang, Raquel Urtasun
2020	A*	`conf`	Multi-Agent Routing Value Iteration Network. ICML Quinlan Sykora, Mengye Ren, Raquel Urtasun
2020	J	`jnl`	Multi-Agent Routing Value Iteration Network. CoRR Quinlan Sykora, Mengye Ren, Raquel Urtasun
2020	J	`jnl`	Multi-Task Multi-Sensor Fusion for 3D Object Detection. CoRR Ming Liang, Bin Yang, Yun Chen, Rui Hu, Raquel Urtasun
2020	A*	`conf`	OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression. CVPR Lila Huang, Shenlong Wang, Kelvin Wong, Jerry Liu, Raquel Urtasun
2020	J	`jnl`	OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression. CoRR Lila Huang, Shenlong Wang, Kelvin Wong, Jerry Liu, Raquel Urtasun
2020	J	`jnl`	Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving. CoRR Bob Wei, Mengye Ren, Wenyuan Zeng, Ming Liang, Bin Yang, Raquel Urtasun
2020	—	`conf`	Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations. ECCV (23) Abbas Sadat, Sergio Casas, Mengye Ren, Xinyu Wu, Pranaab Dhawan, Raquel Urtasun
2020	J	`jnl`	Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations. CoRR Abbas Sadat, Sergio Casas, Mengye Ren, Xinyu Wu, Pranaab Dhawan, Raquel Urtasun
2020	J	`jnl`	Permute, Quantize, and Fine-tune: Efficient Compression of Neural Networks. CoRR Julieta Martinez, Jashan Shewakramani, Ting-Wei Liu, Ioan Andrei Bârsan, Wenyuan Zeng, Raquel Urtasun
2020	A*	`conf`	Physically Realizable Adversarial Examples for LiDAR Object Detection. CVPR James Tu, Mengye Ren, Sivabalan Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun
2020	J	`jnl`	Physically Realizable Adversarial Examples for LiDAR Object Detection. CoRR James Tu, Mengye Ren, Siva Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun
2020	A	`conf`	Pit30M: A Benchmark for Global Localization in the Age of Self-Driving Cars. IROS Julieta Martinez, Sasha Doubov, Jack Fan, Ioan Andrei Bârsan, Shenlong Wang, Gellért Máttyus, Raquel Urtasun
2020	J	`jnl`	Pit30M: A Benchmark for Global Localization in the Age of Self-Driving Cars. CoRR Julieta Martinez, Sasha Doubov, Jack Fan, Ioan Andrei Bârsan, Shenlong Wang, Gellért Máttyus, Raquel Urtasun
2020	A*	`conf`	PnPNet: End-to-End Perception and Prediction With Tracking in the Loop. CVPR Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, Raquel Urtasun
2020	J	`jnl`	PnPNet: End-to-End Perception and Prediction with Tracking in the Loop. CoRR Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, Raquel Urtasun
2020	A*	`conf`	PolyTransform: Deep Polygon Transformer for Instance Segmentation. CVPR Justin Liang, Namdar Homayounfar, Wei-Chiu Ma, Yuwen Xiong, Rui Hu, Raquel Urtasun
2020	—	`conf`	RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects. ECCV (18) Bin Yang, Runsheng Guo, Ming Liang, Sergio Casas, Raquel Urtasun
2020	J	`jnl`	RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects. CoRR Bin Yang, Runsheng Guo, Ming Liang, Sergio Casas, Raquel Urtasun
2020	Misc	`conf`	Recovering and Simulating Pedestrians in the Wild. CoRL Ze Yang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wei-Chiu Ma, Raquel Urtasun
2020	J	`jnl`	Recovering and Simulating Pedestrians in the Wild. CoRR Ze Yang, Siva Manivasagam, Ming Liang, Bin Yang, Wei-Chiu Ma, Raquel Urtasun
2020	J	`jnl`	ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds. CoRR Kibok Lee, Zhuoyuan Chen, Xinchen Yan, Raquel Urtasun, Ersin Yumer
2020	A*	`conf`	SpAGNN: Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data. ICRA Sergio Casas, Cole Gulino, Renjie Liao, Raquel Urtasun
2020	Misc	`conf`	StrObe: Streaming Object Detection from LiDAR Packets. CoRL Davi Frossard, Shun Da Suo, Sergio Casas, James Tu, Raquel Urtasun
2020	J	`jnl`	StrObe: Streaming Object Detection from LiDAR Packets. CoRR Davi Frossard, Simon Suo, Sergio Casas, James Tu, Rui Hu, Raquel Urtasun
2020	—	`conf`	Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction. ECCV (26) Kelvin Wong, Qiang Zhang, Ming Liang, Bin Yang, Renjie Liao, Abbas Sadat, Raquel Urtasun
2020	J	`jnl`	Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction. CoRR Kelvin Wong, Qiang Zhang, Ming Liang, Bin Yang, Renjie Liao, Abbas Sadat, Raquel Urtasun
2020	A	`conf`	The Importance of Prior Knowledge in Precise Multimodal Prediction. IROS Sergio Casas, Cole Gulino, Simon Suo, Raquel Urtasun
2020	J	`jnl`	The Importance of Prior Knowledge in Precise Multimodal Prediction. CoRR Sergio Casas, Cole Gulino, Simon Suo, Raquel Urtasun
2020	Misc	`conf`	Universal Embeddings for Spatio-Temporal Tagging of Self-Driving Logs. CoRL Sean Segal, Eric Kee, Wenjie Luo, Abbas Sadat, Ersin Yumer, Raquel Urtasun
2020	J	`jnl`	Universal Embeddings for Spatio-Temporal Tagging of Self-Driving Logs. CoRR Sean Segal, Eric Kee, Wenjie Luo, Abbas Sadat, Ersin Yumer, Raquel Urtasun
2020	—	`conf`	V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction. ECCV (2) Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wenyuan Zeng, Raquel Urtasun
2020	J	`jnl`	V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction. CoRR Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wenyuan Zeng, James Tu, Raquel Urtasun
2020	—	`conf`	Weakly-Supervised 3D Shape Completion in the Wild. ECCV (5) Jiayuan Gu, Wei-Chiu Ma, Sivabalan Manivasagam, Wenyuan Zeng, Zihao Wang, Yuwen Xiong, Hao Su, Raquel Urtasun
2020	J	`jnl`	Weakly-supervised 3D Shape Completion in the Wild. CoRR Jiayuan Gu, Wei-Chiu Ma, Sivabalan Manivasagam, Wenyuan Zeng, Zihao Wang, Yuwen Xiong, Hao Su, Raquel Urtasun
2019	A*	`conf`	Convolutional Recurrent Network for Road Boundary Extraction. CVPR Justin Liang, Namdar Homayounfar, Wei-Chiu Ma, Shenlong Wang, Raquel Urtasun
2019	A*	`conf`	DAGMapper: Learning to Map by Discovering Lane Topology. ICCV Namdar Homayounfar, Justin Liang, Wei-Chiu Ma, Jack Fan, Xinyu Wu, Raquel Urtasun
2019	A*	`conf`	DARNet: Deep Active Ray Network for Building Segmentation. CVPR Dominic Cheng, Renjie Liao, Sanja Fidler, Raquel Urtasun
2019	J	`jnl`	DARNet: Deep Active Ray Network for Building Segmentation. CoRR Dominic Cheng, Renjie Liao, Sanja Fidler, Raquel Urtasun
2019	A*	`conf`	DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation. ICCV Xiaohui Zeng, Renjie Liao, Li Gu, Yuwen Xiong, Sanja Fidler, Raquel Urtasun
2019	J	`jnl`	DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation. CoRR Xiaohui Zeng, Renjie Liao, Li Gu, Yuwen Xiong, Sanja Fidler, Raquel Urtasun
2019	A*	`conf`	DSIC: Deep Stereo Image Compression. ICCV Jerry Liu, Shenlong Wang, Raquel Urtasun
2019	J	`jnl`	DSIC: Deep Stereo Image Compression. CoRR Jerry Liu, Shenlong Wang, Raquel Urtasun
2019	J	`jnl`	Deep Multi-Sensor Lane Detection. CoRR Min Bai, Gellért Máttyus, Namdar Homayounfar, Shenlong Wang, Shrinidhi Kowshika Lakshmikanth, Raquel Urtasun
2019	A*	`conf`	Deep Rigid Instance Scene Flow. CVPR Wei-Chiu Ma, Shenlong Wang, Rui Hu, Yuwen Xiong, Raquel Urtasun
2019	J	`jnl`	Deep Rigid Instance Scene Flow. CoRR Wei-Chiu Ma, Shenlong Wang, Rui Hu, Yuwen Xiong, Raquel Urtasun
2019	A*	`conf`	DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch. ICCV Shivam Duggal, Shenlong Wang, Wei-Chiu Ma, Rui Hu, Raquel Urtasun
2019	J	`jnl`	DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch. CoRR Shivam Duggal, Shenlong Wang, Wei-Chiu Ma, Rui Hu, Raquel Urtasun
2019	A*	`conf`	DeepSignals: Predicting Intent of Drivers Through Visual Signals. ICRA Davi Frossard, Eric Kee, Raquel Urtasun
2019	J	`jnl`	DeepSignals: Predicting Intent of Drivers Through Visual Signals. CoRR Davi Frossard, Eric Kee, Raquel Urtasun
2019	J	`jnl`	Deformable Filter Convolution for Point Cloud Reasoning. CoRR Yuwen Xiong, Mengye Ren, Renjie Liao, Kelvin Wong, Raquel Urtasun
2019	J	`jnl`	Dense RepPoints: Representing Visual Objects with Dense Point Sets. CoRR Ze Yang, Yinghao Xu, Han Xue, Zheng Zhang, Raquel Urtasun, Liwei Wang, Stephen Lin, Han Hu
2019	—	`conf`	Dimensionality Reduction for Representing the Knowledge of Probabilistic Models. ICLR (Poster) Marc T. Law, Jake Snell, Amir-massoud Farahmand, Raquel Urtasun, Richard S. Zemel
2019	Misc	`conf`	Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction. CoRL Ajay Jain, Sergio Casas, Renjie Liao, Yuwen Xiong, Song Feng, Sean Segal, Raquel Urtasun
2019	J	`jnl`	Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction. CoRR Ajay Jain, Sergio Casas, Renjie Liao, Yuwen Xiong, Song Feng, Sean Segal, Raquel Urtasun
2019	A*	`conf`	Efficient Graph Generation with Graph Recurrent Attention Networks. NeurIPS Renjie Liao, Yujia Li, Yang Song, Shenlong Wang, William L. Hamilton, David Duvenaud, Raquel Urtasun, Richard S. Zemel
2019	J	`jnl`	Efficient Graph Generation with Graph Recurrent Attention Networks. CoRR Renjie Liao, Yujia Li, Yang Song, Shenlong Wang, Charlie Nash, William L. Hamilton, David Duvenaud, Raquel Urtasun, Richard S. Zemel
2019	A*	`conf`	End-To-End Interpretable Neural Motion Planner. CVPR Wenyuan Zeng, Wenjie Luo, Simon Suo, Abbas Sadat, Bin Yang, Sergio Casas, Raquel Urtasun
2019	A	`conf`	Exploiting Sparse Semantic HD Maps for Self-Driving Vehicle Localization. IROS Wei-Chiu Ma, Raquel Urtasun, Ignacio Tartavull, Ioan Andrei Bârsan, Shenlong Wang, Min Bai, Gellért Máttyus, Namdar Homayounfar, Shrinidhi Kowshika Lakshmikanth, Andrei Pokrovsky
2019	J	`jnl`	Exploiting Sparse Semantic HD Maps for Self-Driving Vehicle Localization. CoRR Wei-Chiu Ma, Ignacio Tartavull, Ioan Andrei Bârsan, Shenlong Wang, Min Bai, Gellért Máttyus, Namdar Homayounfar, Shrinidhi Kowshika Lakshmikanth, Andrei Pokrovsky, Raquel Urtasun
2019	—	`conf`	Graph HyperNetworks for Neural Architecture Search. ICLR (Poster) Chris Zhang, Mengye Ren, Raquel Urtasun
2019	Misc	`conf`	Identifying Unknown Instances for Autonomous Driving. CoRL Kelvin Wong, Shenlong Wang, Mengye Ren, Ming Liang, Raquel Urtasun
2019	J	`jnl`	Identifying Unknown Instances for Autonomous Driving. CoRR Kelvin Wong, Shenlong Wang, Mengye Ren, Ming Liang, Raquel Urtasun
2019	Misc	`conf`	Inference in Probabilistic Graphical Models by Graph Neural Networks. ACSSC KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard S. Zemel, Xaq Pitkow
2019	A	`conf`	Jointly Learnable Behavior and Trajectory Planning for Self-Driving Vehicles. IROS Abbas Sadat, Mengye Ren, Andrei Pokrovsky, Yen-Chen Lin, Ersin Yumer, Raquel Urtasun
2019	J	`jnl`	Jointly Learnable Behavior and Trajectory Planning for Self-Driving Vehicles. CoRR Abbas Sadat, Mengye Ren, Andrei Pokrovsky, Yen-Chen Lin, Ersin Yumer, Raquel Urtasun
2019	—	`conf`	LanczosNet: Multi-Scale Deep Graph Convolutional Networks. ICLR (Poster) Renjie Liao, Zhizhen Zhao, Raquel Urtasun, Richard S. Zemel
2019	J	`jnl`	LanczosNet: Multi-Scale Deep Graph Convolutional Networks. CoRR Renjie Liao, Zhizhen Zhao, Raquel Urtasun, Richard S. Zemel
2019	A*	`conf`	Learning Joint 2D-3D Representations for Depth Completion. ICCV Yun Chen, Bin Yang, Ming Liang, Raquel Urtasun
2019	A*	`conf`	Learning to Localize Through Compressed Binary Maps. CVPR Xinkai Wei, Ioan Andrei Barsan, Shenlong Wang, Julieta Martinez, Raquel Urtasun
2019	J	`jnl`	Learning to Remember from a Multi-Task Teacher. CoRR Yuwen Xiong, Mengye Ren, Raquel Urtasun
2019	A*	`conf`	Multi-Task Multi-Sensor Fusion for 3D Object Detection. CVPR Ming Liang, Bin Yang, Yun Chen, Rui Hu, Raquel Urtasun
2019	J	`jnl`	PIXOR: Real-time 3D Object Detection from Point Clouds. CoRR Bin Yang, Wenjie Luo, Raquel Urtasun
2019	J	`jnl`	PolyTransform: Deep Polygon Transformer for Instance Segmentation. CoRR Justin Liang, Namdar Homayounfar, Wei-Chiu Ma, Yuwen Xiong, Rui Hu, Raquel Urtasun
2019	J	`jnl`	Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data. CoRR Sergio Casas, Cole Gulino, Renjie Liao, Raquel Urtasun
2019	A*	`conf`	UPSNet: A Unified Panoptic Segmentation Network. CVPR Yuwen Xiong, Renjie Liao, Hengshuang Zhao, Rui Hu, Min Bai, Ersin Yumer, Raquel Urtasun
2019	J	`jnl`	UPSNet: A Unified Panoptic Segmentation Network. CoRR Yuwen Xiong, Renjie Liao, Hengshuang Zhao, Rui Hu, Min Bai, Ersin Yumer, Raquel Urtasun
2018	J	`jnl`	3D Object Proposals Using Stereo Imagery for Accurate Object Class Detection. IEEE Trans. Pattern Anal. Mach. Intell. Xiaozhi Chen, Kaustav Kundu, Yukun Zhu, Huimin Ma, Sanja Fidler, Raquel Urtasun
2018	—	`conf`	Deep Continuous Fusion for Multi-sensor 3D Object Detection. ECCV (16) Ming Liang, Bin Yang, Shenlong Wang, Raquel Urtasun
2018	A	`conf`	Deep Multi-Sensor Lane Detection. IROS Min Bai, Gellért Máttyus, Namdar Homayounfar, Shenlong Wang, Shrinidhi Kowshika Lakshmikanth, Raquel Urtasun
2018	A*	`conf`	Deep Parametric Continuous Convolutional Neural Networks. CVPR Shenlong Wang, Simon Suo, Wei-Chiu Ma, Andrei Pokrovsky, Raquel Urtasun
2018	—	`conf`	Efficient Convolutions for Real-Time Semantic Segmentation of 3D Point Clouds. 3DV Chris Zhang, Wenjie Luo, Raquel Urtasun
2018	—	`conf`	End-to-End Deep Structured Models for Drawing Crosswalks. ECCV (12) Justin Liang, Raquel Urtasun
2018	A*	`conf`	End-to-end Learning of Multi-sensor 3D Tracking by Detection. ICRA Davi Frossard, Raquel Urtasun
2018	J	`jnl`	End-to-end Learning of Multi-sensor 3D Tracking by Detection. CoRR Davi Frossard, Raquel Urtasun
2018	A*	`conf`	Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting With a Single Convolutional Net. CVPR Wenjie Luo, Bin Yang, Raquel Urtasun
2018	A*	`conf`	GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation. CVPR Xiaojuan Qi, Renjie Liao, Zhengzhe Liu, Raquel Urtasun, Jiaya Jia
2018	J	`jnl`	Graph HyperNetworks for Neural Architecture Search. CoRR Chris Zhang, Mengye Ren, Raquel Urtasun
2018	—	`conf`	Graph Partition Neural Networks for Semi-Supervised Classification. ICLR (Workshop) Renjie Liao, Marc Brockschmidt, Daniel Tarlow, Alexander L. Gaunt, Raquel Urtasun, Richard S. Zemel
2018	J	`jnl`	Graph Partition Neural Networks for Semi-Supervised Classification. CoRR Renjie Liao, Marc Brockschmidt, Daniel Tarlow, Alexander L. Gaunt, Raquel Urtasun, Richard S. Zemel
2018	Misc	`conf`	HDNET: Exploiting HD Maps for 3D Object Detection. CoRL Bin Yang, Ming Liang, Raquel Urtasun
2018	A*	`conf`	Hierarchical Recurrent Attention Networks for Structured Online Maps. CVPR Namdar Homayounfar, Wei-Chiu Ma, Shrinidhi Kowshika Lakshmikanth, Raquel Urtasun
2018	J	`jnl`	Inference in Probabilistic Graphical Models by Graph Neural Networks. CoRR KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard S. Zemel, Xaq Pitkow
2018	—	`conf`	Inference in probabilistic graphical models by Graph Neural Networks. ICLR (Workshop) KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard S. Zemel, Xaq Pitkow
2018	Misc	`conf`	IntentNet: Learning to Predict Intention from Raw Sensor Data. CoRL Sergio Casas, Wenjie Luo, Raquel Urtasun
2018	A*	`conf`	Learning Deep Structured Active Contours End-to-End. CVPR Diego Marcos, Devis Tuia, Benjamin Kellenberger, Lisa Zhang, Min Bai, Renjie Liao, Raquel Urtasun
2018	J	`jnl`	Learning deep structured active contours end-to-end. CoRR Diego Marcos, Devis Tuia, Benjamin Kellenberger, Lisa Zhang, Min Bai, Renjie Liao, Raquel Urtasun
2018	Misc	`conf`	Learning to Localize Using a LiDAR Intensity Map. CoRL Ioan Andrei Barsan, Shenlong Wang, Andrei Pokrovsky, Raquel Urtasun
2018	A*	`conf`	Learning to Reweight Examples for Robust Deep Learning. ICML Mengye Ren, Wenyuan Zeng, Bin Yang, Raquel Urtasun
2018	J	`jnl`	Learning to Reweight Examples for Robust Deep Learning. CoRR Mengye Ren, Wenyuan Zeng, Bin Yang, Raquel Urtasun
2018	—	`conf`	Leveraging Constraint Logic Programming for Neural Guided Program Synthesis. ICLR (Workshop) Lisa Zhang, Gregory Rosenblatt, Ethan Fetaya, Renjie Liao, William E. Byrd, Raquel Urtasun, Richard S. Zemel
2018	A*	`conf`	Matching Adversarial Networks. CVPR Gellért Máttyus, Raquel Urtasun
2018	B	`conf`	MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving. Intelligent Vehicles Symposium Marvin Teichmann, Michael Weber, J. Marius Zöllner, Roberto Cipolla, Raquel Urtasun
2018	A*	`conf`	Neural Guided Constraint Logic Programming for Program Synthesis. NeurIPS Lisa Zhang, Gregory Rosenblatt, Ethan Fetaya, Renjie Liao, William E. Byrd, Matthew Might, Raquel Urtasun, Richard S. Zemel
2018	J	`jnl`	Neural Guided Constraint Logic Programming for Program Synthesis. CoRR Lisa Zhang, Gregory Rosenblatt, Ethan Fetaya, Renjie Liao, William E. Byrd, Matthew Might, Raquel Urtasun, Richard S. Zemel
2018	A*	`conf`	PIXOR: Real-Time 3D Object Detection From Point Clouds. CVPR Bin Yang, Wenjie Luo, Raquel Urtasun
2018	J	`jnl`	Proteus: Exploiting precision variability in deep neural networks. Parallel Comput. Patrick Judd, Jorge Albericio, Tayler H. Hetherington, Tor M. Aamodt, Natalie D. Enright Jerger, Raquel Urtasun, Andreas Moshovos
2018	A*	`conf`	Reviving and Improving Recurrent Back-Propagation. ICML Renjie Liao, Yuwen Xiong, Ethan Fetaya, Lisa Zhang, KiJung Yoon, Xaq Pitkow, Raquel Urtasun, Richard S. Zemel
2018	J	`jnl`	Reviving and Improving Recurrent Back-Propagation. CoRR Renjie Liao, Yuwen Xiong, Ethan Fetaya, Lisa Zhang, KiJung Yoon, Xaq Pitkow, Raquel Urtasun, Richard S. Zemel
2018	A*	`conf`	SBNet: Sparse Blocks Network for Fast Inference. CVPR Mengye Ren, Andrei Pokrovsky, Bin Yang, Raquel Urtasun
2018	J	`jnl`	SBNet: Sparse Blocks Network for Fast Inference. CoRR Mengye Ren, Andrei Pokrovsky, Bin Yang, Raquel Urtasun
2018	—	`conf`	Single Image Intrinsic Decomposition Without a Single Intrinsic Image. ECCV (14) Wei-Chiu Ma, Hang Chu, Bolei Zhou, Raquel Urtasun, Antonio Torralba
2018	A*	`conf`	SurfConv: Bridging 3D and 2D Convolution for RGBD Images. CVPR Hang Chu, Wei-Chiu Ma, Kaustav Kundu, Raquel Urtasun, Sanja Fidler
2018	J	`jnl`	SurfConv: Bridging 3D and 2D Convolution for RGBD Images. CoRR Hang Chu, Wei-Chiu Ma, Kaustav Kundu, Raquel Urtasun, Sanja Fidler
2017	A*	`conf`	3D Graph Neural Networks for RGBD Semantic Segmentation. ICCV Xiaojuan Qi, Renjie Liao, Jiaya Jia, Sanja Fidler, Raquel Urtasun
2017	A*	`conf`	Annotating Object Instances with a Polygon-RNN. CVPR Lluís Castrejón, Kaustav Kundu, Raquel Urtasun, Sanja Fidler
2017	J	`jnl`	Annotating Object Instances with a Polygon-RNN. CoRR Lluís Castrejón, Kaustav Kundu, Raquel Urtasun, Sanja Fidler
2017	A*	`conf`	Be Your Own Prada: Fashion Synthesis with Structural Coherence. ICCV Shizhan Zhu, Sanja Fidler, Raquel Urtasun, Dahua Lin, Chen Change Loy
2017	J	`jnl`	Be Your Own Prada: Fashion Synthesis with Structural Coherence. CoRR Shizhan Zhu, Sanja Fidler, Raquel Urtasun, Dahua Lin, Chen Change Loy
2017	A*	`conf`	Deep Spectral Clustering Learning. ICML Marc T. Law, Raquel Urtasun, Richard S. Zemel
2017	A*	`conf`	Deep Watershed Transform for Instance Segmentation. CVPR Min Bai, Raquel Urtasun
2017	A*	`conf`	DeepRoadMapper: Extracting Road Topology from Aerial Images. ICCV Gellért Máttyus, Wenjie Luo, Raquel Urtasun
2017	A*	`conf`	Efficient Multiple Instance Metric Learning Using Weakly Supervised Data. CVPR Marc T. Law, Yaoliang Yu, Raquel Urtasun, Richard S. Zemel, Eric P. Xing
2017	J	`jnl`	Exploiting Deep Matching and SAR Data for the Geo-Localization Accuracy Improvement of Optical Satellite Images. Remote. Sens. Nina Merkle, Wenjie Luo, Stefan Auer, Rupert Müller, Raquel Urtasun
2017	—	`conf`	Few-Shot Learning Through an Information Retrieval Lens. NIPS Eleni Triantafillou, Richard S. Zemel, Raquel Urtasun
2017	J	`jnl`	Few-Shot Learning Through an Information Retrieval Lens. CoRR Eleni Triantafillou, Richard S. Zemel, Raquel Urtasun
2017	A*	`conf`	Find your way by observing the sun and other semantic cues. ICRA Wei-Chiu Ma, Shenlong Wang, Marcus A. Brubaker, Sanja Fidler, Raquel Urtasun
2017	—	`conf`	Joint Embeddings of Scene Graphs and Images. ICLR (Workshop) Eugene Belilovsky, Matthew B. Blaschko, Jamie Ryan Kiros, Raquel Urtasun, Richard S. Zemel
2017	—	`conf`	Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes. ICLR (Poster) Mengye Ren, Renjie Liao, Raquel Urtasun, Fabian H. Sinz, Richard S. Zemel
2017	A*	`conf`	SGN: Sequential Grouping Networks for Instance Segmentation. ICCV Shu Liu, Jiaya Jia, Sanja Fidler, Raquel Urtasun
2017	A*	`conf`	Situation Recognition with Graph Neural Networks. ICCV Ruiyu Li, Makarand Tapaswi, Renjie Liao, Jiaya Jia, Raquel Urtasun, Sanja Fidler
2017	J	`jnl`	Situation Recognition with Graph Neural Networks. CoRR Ruiyu Li, Makarand Tapaswi, Renjie Liao, Jiaya Jia, Raquel Urtasun, Sanja Fidler
2017	—	`conf`	Song From PI: A Musically Plausible Network for Pop Music Generation. ICLR (Workshop) Hang Chu, Raquel Urtasun, Sanja Fidler
2017	A*	`conf`	Sports Field Localization via Deep Structured Models. CVPR Namdar Homayounfar, Sanja Fidler, Raquel Urtasun
2017	—	`conf`	The Reversible Residual Network: Backpropagation Without Storing Activations. NIPS Aidan N. Gomez, Mengye Ren, Raquel Urtasun, Roger B. Grosse
2017	J	`jnl`	The Reversible Residual Network: Backpropagation Without Storing Activations. CoRR Aidan N. Gomez, Mengye Ren, Raquel Urtasun, Roger B. Grosse
2017	A*	`conf`	TorontoCity: Seeing the World with a Million Eyes. ICCV Shenlong Wang, Min Bai, Gellért Máttyus, Hang Chu, Wenjie Luo, Bin Yang, Justin Liang, Joel Cheverie, Sanja Fidler, Raquel Urtasun
2017	A*	`conf`	Towards Diverse and Natural Image Descriptions via a Conditional GAN. ICCV Bo Dai, Sanja Fidler, Raquel Urtasun, Dahua Lin
2017	J	`jnl`	Towards Diverse and Natural Image Descriptions via a Conditional GAN. CoRR Bo Dai, Dahua Lin, Raquel Urtasun, Sanja Fidler
2017	J	`jnl`	Understanding the Effective Receptive Field in Deep Convolutional Neural Networks. CoRR Wenjie Luo, Yujia Li, Raquel Urtasun, Richard S. Zemel
2016	J	`jnl`	3D Object Proposals using Stereo Imagery for Accurate Object Class Detection. CoRR Xiaozhi Chen, Kaustav Kundu, Yukun Zhu, Huimin Ma, Sanja Fidler, Raquel Urtasun
2016	J	`jnl`	Blending Learning and Inference in Conditional Random Fields. J. Mach. Learn. Res. Tamir Hazan, Alexander G. Schwing, Raquel Urtasun
2016	J	`jnl`	Deep Semantic Matching for Optical Flow. CoRR Min Bai, Wenjie Luo, Kaustav Kundu, Raquel Urtasun
2016	J	`jnl`	Deep Watershed Transform for Instance Segmentation. CoRR Min Bai, Raquel Urtasun
2016	A*	`conf`	Efficient Deep Learning for Stereo Matching. CVPR Wenjie Luo, Alexander G. Schwing, Raquel Urtasun
2016	J	`jnl`	Efficient Summarization with Read-Again and Copy Mechanism. CoRR Wenyuan Zeng, Wenjie Luo, Sanja Fidler, Raquel Urtasun
2016	—	`conf`	Exploiting Semantic Information and Deep Matching for Optical Flow. ECCV (6) Min Bai, Wenjie Luo, Kaustav Kundu, Raquel Urtasun
2016	J	`jnl`	Find your Way by Observing the Sun and Other Semantic Cues. CoRR Wei-Chiu Ma, Shenlong Wang, Marcus A. Brubaker, Sanja Fidler, Raquel Urtasun
2016	A*	`conf`	HD Maps: Fine-Grained Road Segmentation by Parsing Ground and Aerial Images. CVPR Gellért Máttyus, Shenlong Wang, Sanja Fidler, Raquel Urtasun
2016	—	`conf`	HouseCraft: Building Houses from Rental Ads and Street Views. ECCV (6) Hang Chu, Shenlong Wang, Raquel Urtasun, Sanja Fidler
2016	J	`jnl`	Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding. IEEE Trans. Pattern Anal. Mach. Intell. Roozbeh Mottaghi, Sanja Fidler, Alan L. Yuille, Raquel Urtasun, Devi Parikh
2016	A*	`conf`	Instance-Level Segmentation for Autonomous Driving with Deep Densely Connected MRFs. CVPR Ziyu Zhang, Sanja Fidler, Raquel Urtasun
2016	—	`conf`	Learning Deep Parsimonious Representations. NIPS Renjie Liao, Alexander G. Schwing, Richard S. Zemel, Raquel Urtasun
2016	J	`jnl`	Map-Based Probabilistic Visual Self-Localization. IEEE Trans. Pattern Anal. Mach. Intell. Marcus A. Brubaker, Andreas Geiger, Raquel Urtasun
2016	A*	`conf`	Monocular 3D Object Detection for Autonomous Driving. CVPR Xiaozhi Chen, Kaustav Kundu, Ziyu Zhang, Huimin Ma, Sanja Fidler, Raquel Urtasun
2016	A*	`conf`	MovieQA: Understanding Stories in Movies through Question-Answering. CVPR Makarand Tapaswi, Yukun Zhu, Rainer Stiefelhagen, Antonio Torralba, Raquel Urtasun, Sanja Fidler
2016	J	`jnl`	MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving. CoRR Marvin Teichmann, Michael Weber, J. Marius Zöllner, Roberto Cipolla, Raquel Urtasun
2016	J	`jnl`	Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes. CoRR Mengye Ren, Renjie Liao, Raquel Urtasun, Fabian H. Sinz, Richard S. Zemel
2016	A*	`conf`	Order-Embeddings of Images and Language. ICLR Ivan Vendrov, Ryan Kiros, Sanja Fidler, Raquel Urtasun
2016	—	`conf`	Proximal Deep Structured Models. NIPS Shenlong Wang, Sanja Fidler, Raquel Urtasun
2016	A	`conf`	Sequential Inference for Deep Gaussian Process. AISTATS Yali Wang, Marcus A. Brubaker, Brahim Chaib-draa, Raquel Urtasun
2016	J	`jnl`	Soccer Field Localization from a Single Image. CoRR Namdar Homayounfar, Sanja Fidler, Raquel Urtasun
2016	J	`jnl`	Song From PI: A Musically Plausible Network for Pop Music Generation. CoRR Hang Chu, Raquel Urtasun, Sanja Fidler
2016	J	`jnl`	TorontoCity: Seeing the World with a Million Eyes. CoRR Shenlong Wang, Min Bai, Gellért Máttyus, Hang Chu, Wenjie Luo, Bin Yang, Justin Liang, Joel Cheverie, Sanja Fidler, Raquel Urtasun
2016	A	`conf`	Towards Affordable Self-driving Cars. BMVC Raquel Urtasun
2016	—	`conf`	Towards Generalizable Sentence Embeddings. Rep4NLP@ACL Eleni Triantafillou, Jamie Ryan Kiros, Raquel Urtasun, Richard S. Zemel
2016	A*	`conf`	Training Deep Neural Networks via Direct Loss Minimization. ICML Yang Song, Alexander G. Schwing, Richard S. Zemel, Raquel Urtasun
2016	—	`conf`	Understanding the Effective Receptive Field in Deep Convolutional Neural Networks. NIPS Wenjie Luo, Yujia Li, Raquel Urtasun, Richard S. Zemel
2015	—	`conf`	3D Object Proposals for Accurate Object Class Detection. NIPS Xiaozhi Chen, Kaustav Kundu, Yukun Zhu, Andrew G. Berneshawi, Huimin Ma, Sanja Fidler, Raquel Urtasun
2015	A*	`conf`	Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books. ICCV Yukun Zhu, Ryan Kiros, Richard S. Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, Sanja Fidler
2015	J	`jnl`	Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books. CoRR Yukun Zhu, Ryan Kiros, Richard S. Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, Sanja Fidler
2015	J	`jnl`	Direct Loss Minimization for Training Deep Neural Nets. CoRR Yang Song, Alexander G. Schwing, Richard S. Zemel, Raquel Urtasun
2015	A*	`conf`	Enhancing Road Maps by Parsing Aerial Images Around the World. ICCV Gellért Máttyus, Shenlong Wang, Sanja Fidler, Raquel Urtasun
2015	A	`conf`	Estimating Drivable Collision-Free Space from Monocular Video. WACV Jian Yao, Srikumar Ramalingam, Yuichi Taguchi, Yohei Miki, Raquel Urtasun
2015	A*	`conf`	FollowMe: Efficient Online Min-Cost Flow Tracking with Bounded Memory and Computation. ICCV Philip Lenz, Andreas Geiger, Raquel Urtasun
2015	J	`jnl`	Fully Connected Deep Structured Networks. CoRR Alexander G. Schwing, Raquel Urtasun
2015	J	`jnl`	Generating Multi-Sentence Lingual Descriptions of Indoor Scenes. CoRR Dahua Lin, Chen Kong, Sanja Fidler, Raquel Urtasun
2015	A	`conf`	Generating Multi-sentence Natural Language Descriptions of Indoor Scenes. BMVC Dahua Lin, Sanja Fidler, Chen Kong, Raquel Urtasun
2015	A*	`conf`	Holistic 3D scene understanding from a single geo-tagged image. CVPR Shenlong Wang, Sanja Fidler, Raquel Urtasun
2015	J	`jnl`	Instance-Level Segmentation with Deep Densely Connected MRFs. CoRR Ziyu Zhang, Sanja Fidler, Raquel Urtasun
2015	A*	`conf`	Learning Deep Structured Models. ICML Liang-Chieh Chen, Alexander G. Schwing, Alan L. Yuille, Raquel Urtasun
2015	—	`conf`	Learning Deep Structured Models. ICLR (Workshop) Liang-Chieh Chen, Alexander G. Schwing, Alan L. Yuille, Raquel Urtasun
2015	A*	`conf`	Learning to segment under various forms of weak supervision. CVPR Jia Xu, Alexander G. Schwing, Raquel Urtasun
2015	A*	`conf`	Lost Shopping! Monocular Localization in Large Indoor Spaces. ICCV Shenlong Wang, Sanja Fidler, Raquel Urtasun
2015	A*	`conf`	Monocular Object Instance Segmentation and Depth Ordering with CNNs. ICCV Ziyu Zhang, Alexander G. Schwing, Sanja Fidler, Raquel Urtasun
2015	J	`jnl`	Monocular Object Instance Segmentation and Depth Ordering with CNNs. CoRR Ziyu Zhang, Alexander G. Schwing, Sanja Fidler, Raquel Urtasun
2015	J	`jnl`	MovieQA: Understanding Stories in Movies through Question-Answering. CoRR Makarand Tapaswi, Yukun Zhu, Rainer Stiefelhagen, Antonio Torralba, Raquel Urtasun, Sanja Fidler
2015	A*	`conf`	Neuroaesthetics in fashion: Modeling the perception of fashionability. CVPR Edgar Simo-Serra, Sanja Fidler, Francesc Moreno-Noguer, Raquel Urtasun
2015	A*	`conf`	Real-time coarse-to-fine topologically preserving segmentation. CVPR Jian Yao, Marko Boben, Sanja Fidler, Raquel Urtasun
2015	J	`jnl`	Reduced-Precision Strategies for Bounded Memory in Deep Neural Nets. CoRR Patrick Judd, Jorge Albericio, Tayler H. Hetherington, Tor M. Aamodt, Natalie D. Enright Jerger, Raquel Urtasun, Andreas Moshovos
2015	A*	`conf`	Rent3D: Floor-plan priors for monocular layout estimation. CVPR Chenxi Liu, Alexander G. Schwing, Kaustav Kundu, Raquel Urtasun, Sanja Fidler
2015	—	`conf`	Skip-Thought Vectors. NIPS Ryan Kiros, Yukun Zhu, Ruslan Salakhutdinov, Richard S. Zemel, Raquel Urtasun, Antonio Torralba, Sanja Fidler
2015	J	`jnl`	Skip-Thought Vectors. CoRR Ryan Kiros, Yukun Zhu, Ruslan Salakhutdinov, Richard S. Zemel, Antonio Torralba, Raquel Urtasun, Sanja Fidler
2015	J	`jnl`	segDeepM: Exploiting Segmentation and Context in Deep Neural Networks for Object Detection. CoRR Yukun Zhu, Raquel Urtasun, Ruslan Salakhutdinov, Sanja Fidler
2015	A*	`conf`	segDeepM: Exploiting segmentation and context in deep neural networks for object detection. CVPR Yukun Zhu, Raquel Urtasun, Ruslan Salakhutdinov, Sanja Fidler
2014	J	`jnl`	3D Traffic Scene Understanding From Movable Platforms. IEEE Trans. Pattern Anal. Mach. Intell. Andreas Geiger, Martin Lauer, Christian Wojek, Christoph Stiller, Raquel Urtasun
2014	—	`conf`	A High Performance CRF Model for Clothes Parsing. ACCV (3) Edgar Simo-Serra, Sanja Fidler, Francesc Moreno-Noguer, Raquel Urtasun
2014	A	`conf`	Bayesian Filtering with Online Gaussian Process Latent Variable Models. UAI Yali Wang, Marcus A. Brubaker, Brahim Chaib-draa, Raquel Urtasun
2014	A*	`conf`	Beat the MTurkers: Automatic Image Labeling from Weak 3D Supervision. CVPR Liang-Chieh Chen, Sanja Fidler, Raquel Urtasun
2014	A*	`conf`	Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts. CVPR Xianjie Chen, Roozbeh Mottaghi, Xiaobai Liu, Sanja Fidler, Raquel Urtasun, Alan L. Yuille
2014	J	`jnl`	Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts. CoRR Xianjie Chen, Roozbeh Mottaghi, Xiaobai Liu, Sanja Fidler, Raquel Urtasun, Alan L. Yuille
2014	—	`conf`	Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials. NIPS Shenlong Wang, Alexander G. Schwing, Raquel Urtasun
2014	—	`conf`	Efficient Joint Segmentation, Occlusion Labeling, Stereo and Flow Estimation. ECCV (5) Koichiro Yamaguchi, David A. McAllester, Raquel Urtasun
2014	J	`jnl`	FollowMe: Efficient Online Min-Cost Flow Tracking with Bounded Memory and Computation. CoRR Philip Lenz, Andreas Geiger, Raquel Urtasun
2014	A*	`conf`	Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm. ICML Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun
2014	J	`jnl`	Human-Machine CRFs for Identifying Bottlenecks in Holistic Scene Understanding. CoRR Roozbeh Mottaghi, Sanja Fidler, Alan L. Yuille, Raquel Urtasun, Devi Parikh
2014	—	`conf`	Message Passing Inference for Large Scale Graphical Models with High Order Potentials. NIPS Jian Zhang, Alexander G. Schwing, Raquel Urtasun
2014	A*	`conf`	Tell Me What You See and I Will Show You Where It Is. CVPR Jia Xu, Alexander G. Schwing, Raquel Urtasun
2014	A*	`conf`	The Role of Context for Object Detection and Semantic Segmentation in the Wild. CVPR Roozbeh Mottaghi, Xianjie Chen, Xiaobai Liu, Nam-Gyu Cho, Seong-Whan Lee, Sanja Fidler, Raquel Urtasun, Alan L. Yuille
2014	B	`conf`	Transductive Gaussian processes for image denoising. ICCP Shenlong Wang, Lei Zhang, Raquel Urtasun
2014	A*	`conf`	Visual Semantic Search: Retrieving Videos via Complex Textual Queries. CVPR Dahua Lin, Sanja Fidler, Chen Kong, Raquel Urtasun
2014	A*	`conf`	What Are You Talking About? Text-to-Image Coreference. CVPR Chen Kong, Dahua Lin, Mohit Bansal, Raquel Urtasun, Sanja Fidler
2013	A*	`conf`	A Sentence Is Worth a Thousand Pixels. CVPR Sanja Fidler, Abhishek Sharma, Raquel Urtasun
2013	A*	`conf`	Analyzing Semantic Segmentation Using Hybrid Human-Machine CRFs. CVPR Roozbeh Mottaghi, Sanja Fidler, Jian Yao, Raquel Urtasun, Devi Parikh
2013	A*	`conf`	Bottom-Up Segmentation for Top-Down Detection. CVPR Sanja Fidler, Roozbeh Mottaghi, Alan L. Yuille, Raquel Urtasun
2013	A*	`conf`	Box in the Box: Joint 3D Layout and Object Reasoning from Single Images. ICCV Alexander G. Schwing, Sanja Fidler, Marc Pollefeys, Raquel Urtasun
2013	A*	`conf`	Estimating the 3D Layout of Indoor Scenes and Its Clutter from Depth Sensors. ICCV Jian Zhang, Chen Kan, Alexander G. Schwing, Raquel Urtasun
2013	A*	`conf`	Holistic Scene Understanding for 3D Object Detection with RGBD Cameras. ICCV Dahua Lin, Sanja Fidler, Raquel Urtasun
2013	—	`conf`	Latent Structured Active Learning. NIPS Wenjie Luo, Alexander G. Schwing, Raquel Urtasun
2013	A*	`conf`	Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization. CVPR Marcus A. Brubaker, Andreas Geiger, Raquel Urtasun
2013	A*	`conf`	Robust Monocular Epipolar Flow Estimation. CVPR Koichiro Yamaguchi, David A. McAllester, Raquel Urtasun
2013	A*	`conf`	Understanding High-Level Semantics by Modeling Traffic Patterns. ICCV Hongyi Zhang, Andreas Geiger, Raquel Urtasun
2013	J	`jnl`	Vision meets robotics: The KITTI dataset. Int. J. Robotics Res. Andreas Geiger, Philip Lenz, Christoph Stiller, Raquel Urtasun
2012	—	`conf`	3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model. NIPS Sanja Fidler, Sven J. Dickinson, Raquel Urtasun
2012	A	`conf`	A Family of MCMC Methods on Implicitly Defined Manifolds. AISTATS Marcus A. Brubaker, Mathieu Salzmann, Raquel Urtasun
2012	A*	`conf`	A constrained latent variable model. CVPR Aydin Varol, Mathieu Salzmann, Pascal Fua, Raquel Urtasun
2012	A*	`conf`	Are we ready for autonomous driving? The KITTI vision benchmark suite. CVPR Andreas Geiger, Philip Lenz, Raquel Urtasun
2012	—	`conf`	Beyond Feature Points: Structured Prediction for Monocular Non-rigid 3D Reconstruction. ECCV (4) Mathieu Salzmann, Raquel Urtasun
2012	J	`jnl`	Continuous Markov Random Fields for Robust Stereo Estimation CoRR Koichiro Yamaguchi, Tamir Hazan, David A. McAllester, Raquel Urtasun
2012	—	`conf`	Continuous Markov Random Fields for Robust Stereo Estimation. ECCV (5) Koichiro Yamaguchi, Tamir Hazan, David A. McAllester, Raquel Urtasun
2012	A*	`conf`	Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation. CVPR Jian Yao, Sanja Fidler, Raquel Urtasun
2012	—	`conf`	Efficient Exact Inference for 3D Indoor Scene Understanding. ECCV (6) Alexander G. Schwing, Raquel Urtasun
2012	J	`jnl`	Efficient Learning of Structured Predictors in General Graphical Models CoRR Tamir Hazan, Raquel Urtasun
2012	A*	`conf`	Efficient Structured Prediction with Latent Variables for General Graphical Models. ICML Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun
2012	A*	`conf`	Efficient structured prediction for 3D indoor scene understanding. CVPR Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun
2012	—	`conf`	Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins. NIPS Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun
2012	J	`jnl`	Multi-View Learning in the Presence of View Disagreement CoRR C. Mario Christoudias, Raquel Urtasun, Trevor Darrell
2011	A*	`conf`	A generative model for 3D urban scene understanding from movable platforms. CVPR Andreas Geiger, Martin Lauer, Raquel Urtasun
2011	A*	`conf`	Convex Max-Product over Compact Sets for Protein Folding. ICML Jian Peng, Tamir Hazan, David A. McAllester, Raquel Urtasun
2011	B	`conf`	Data-driven animation of hand-object interactions. FG Henning Hamer, Juergen Gall, Raquel Urtasun, Luc Van Gool
2011	A*	`conf`	Distributed message passing for large scale graphical models. CVPR Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun
2011	—	`conf`	Joint 3D Estimation of Objects and Scene Layout. NIPS Andreas Geiger, Christian Wojek, Raquel Urtasun
2011	—	`conf`	Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities. NIPS Angela Yao, Juergen Gall, Luc Van Gool, Raquel Urtasun
2011	A*	`conf`	Physically-based motion models for 3D tracking: A convex formulation. ICCV Mathieu Salzmann, Raquel Urtasun
2011	A*	`conf`	Supervised hierarchical Pitman-Yor process for natural scene segmentation. CVPR Alex Shyr, Trevor Darrell, Michael I. Jordan, Raquel Urtasun
2010	—	`conf`	A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction. NIPS Tamir Hazan, Raquel Urtasun
2010	J	`jnl`	Approximated Structured Prediction for Learning Large Scale Graphical Models CoRR Tamir Hazan, Raquel Urtasun
2010	A*	`conf`	Combining discriminative and generative methods for 3D deformable surface and articulated pose reconstruction. CVPR Mathieu Salzmann, Raquel Urtasun
2010	—	`conf`	Efficient Large-Scale Stereo Matching. ACCV (1) Andreas Geiger, Martin Roser, Raquel Urtasun
2010	A	`conf`	Factorized Orthogonal Latent Spaces. AISTATS Mathieu Salzmann, Carl Henrik Ek, Raquel Urtasun, Trevor Darrell
2010	J	`jnl`	Gaussian Processes for Object Categorization. Int. J. Comput. Vis. Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Trevor Darrell
2010	—	`conf`	Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation. NIPS Mathieu Salzmann, Raquel Urtasun
2010	—	`conf`	Learning to Recognize Objects from Unseen Modalities. ECCV (1) C. Mario Christoudias, Raquel Urtasun, Mathieu Salzmann, Trevor Darrell
2010	—	`conf`	Sparse Coding for Learning Interpretable Spatio-Temporal Primitives. NIPS Taehwan Kim, Gregory Shakhnarovich, Raquel Urtasun
2010	A*	`conf`	Sufficient dimension reduction for visual sequence classification. CVPR Alex Shyr, Raquel Urtasun, Michael I. Jordan
2009	A*	`conf`	Co-training with noisy perceptual observations. CVPR C. Mario Christoudias, Raquel Urtasun, Ashish Kapoor, Trevor Darrell
2009	A*	`conf`	Non-linear matrix factorization with Gaussian processes. ICML Neil D. Lawrence, Raquel Urtasun
2009	A*	`conf`	Rank priors for continuous non-linear dimensionality reduction. CVPR Andreas Geiger, Raquel Urtasun, Trevor Darrell
2008	A*	`conf`	Local deformation models for monocular 3D shape recovery. CVPR Mathieu Salzmann, Raquel Urtasun, Pascal Fua
2008	A*	`conf`	Sparse probabilistic regression for activity-independent human pose inference. CVPR Raquel Urtasun, Trevor Darrell
2008	A*	`conf`	Topologically-constrained latent variable models. ICML Raquel Urtasun, David J. Fleet, Andreas Geiger, Jovan Popovic, Trevor Darrell, Neil D. Lawrence
2008	A*	`conf`	Unsupervised feature selection via distributed coding for multi-view object recognition. CVPR C. Mario Christoudias, Raquel Urtasun, Trevor Darrell
2007	A*	`conf`	Active Learning with Gaussian Processes for Object Categorization. ICCV Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Trevor Darrell
2007	A*	`conf`	Discriminative Gaussian process latent variable model for classification. ICML Raquel Urtasun, Trevor Darrell
2007	—	`conf`	Modeling Human Locomotion with Topologically Constrained Latent Variable Models. Workshop on Human Motion Raquel Urtasun, David J. Fleet, Neil D. Lawrence
2007	—	`conf`	Patch-Based Pose Inference with a Mixture of Density Estimators. AMFG David Demirdjian, Raquel Urtasun
2006	—	`conf`	3D People Tracking with Gaussian Process Dynamical Models. CVPR (1) Raquel Urtasun, David J. Fleet, Pascal Fua
2006	J	`jnl`	Temporal motion models for monocular and multiview 3D human body tracking. Comput. Vis. Image Underst. Raquel Urtasun, David J. Fleet, Pascal Fua
2005	J	`jnl`	Hierarchical implicit surface joint limits for human body tracking. Comput. Vis. Image Underst. Lorna Herda, Raquel Urtasun, Pascal Fua
2005	—	`conf`	Monocular 3-D Tracking of the Golf Swing. CVPR (2) Raquel Urtasun, David J. Fleet, Pascal Fua
2005	—	`conf`	Monocular 3D Tracking of the Golf Swing. CVPR (2) Raquel Urtasun, David J. Fleet, Pascal Fua
2005	A*	`conf`	Priors for People Tracking from Small Training Sets. ICCV Raquel Urtasun, David J. Fleet, Aaron Hertzmann, Pascal Fua
2004	—	`conf`	3D Human Body Tracking Using Deterministic Temporal Motion Models. ECCV (3) Raquel Urtasun, Pascal Fua
2004	—	`conf`	3D Tracking for Gait Characterization and Recognition. FGR Raquel Urtasun, Pascal Fua
2004	—	`conf`	Hierarchical Implicit Surface Joint Limits to Constrain Video-Based Motion Capture. ECCV (2) Lorna Herda, Raquel Urtasun, Pascal Fua
2004	J	`jnl`	Style-Based Motion Synthesis. Comput. Graph. Forum Raquel Urtasun, Pascal Glardon, Ronan Boulic, Daniel Thalmann, Pascal Fua
2003	J	`jnl`	Automatic Determination of Shoulder Joint Limits Using Quaternion Field Boundaries. Int. J. Robotics Res. Lorna Herda, Raquel Urtasun, Pascal Fua, Andrew J. Hanson
2003	J	`jnl`	opologically controlled segmentation of 3D magnetic resonance images of the head by using morphological operators. Pattern Recognit. Petr Dokládal, Isabelle Bloch, Michel Couprie, Daniel Ruijters, Raquel Urtasun, Line Garnero
2002	—	`conf`	An Automatic Method For Determining Quaternion Field Boundaries for Ball-and-Socket Joint Limits. FGR Lorna Herda, Raquel Urtasun, Pascal Fua, Andrew J. Hanson
2001	—	`conf`	Segmentation of 3D head MR images using morphological reconstruction under constraints and automatic selection of markers. ICIP (3) Petr Dokládal, Raquel Urtasun, Isabelle Bloch, Line Garnero