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ORCIDRaquel Urtasun
Raquel Urtasun Waabi
Person information
- affiliation: University of Toronto, Canada
- affiliation: Waabi
- affiliation (former): Swiss Federal Institute of Technology in Lausanne, Switzerland
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2020 – today
- 2024
[c247]Ben Agro, Quinlan Sykora, Sergio Casas, Thomas Gilles, Raquel Urtasun:
UnO: Unsupervised Occupancy Fields for Perception and Forecasting. CVPR 2024: 14487-14496- [c246]Chris Zhang, Sourav Biswas, Kelvin Wong, Kion Fallah, Lunjun Zhang, Dian Chen, Sergio Casas, Raquel Urtasun:
Learning to Drive via Asymmetric Self-Play. ECCV (62) 2024: 149-168 - [c245]Yun Chen, Jingkang Wang, Ze Yang, Sivabalan Manivasagam, Raquel Urtasun:
G3R: Gradient Guided Generalizable Reconstruction. ECCV (6) 2024: 305-323 - [c244]Sergio Casas, Ben Agro, Jiageng Mao, Thomas Gilles, Alexander Cui, Thomas Li, Raquel Urtasun:
DeTra: A Unified Model for Object Detection and Trajectory Forecasting. ECCV (88) 2024: 326-342 - [c243]Ze Yang, George Chen, Haowei Zhang, Kevin Ta, Ioan Andrei Bârsan, Daniel Murphy, Sivabalan Manivasagam, Raquel Urtasun:
UniCal: Unified Neural Sensor Calibration. ECCV (36) 2024: 327-345 - [c242]Lunjun Zhang, Yuwen Xiong, Ze Yang, Sergio Casas, Rui Hu, Raquel Urtasun:
Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion. ICLR 2024 - [c241]Sourav Biswas, Sergio Casas, Quinlan Sykora, Ben Agro, Abbas Sadat, Raquel Urtasun:
QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving. ICRA 2024: 14236-14243 - [c240]Jack Lu, Kelvin Wong, Chris Zhang, Simon Suo, Raquel Urtasun:
SceneControl: Diffusion for Controllable Traffic Scene Generation. ICRA 2024: 16908-16914 - [i158]Sourav Biswas, Sergio Casas, Quinlan Sykora, Ben Agro, Abbas Sadat, Raquel Urtasun:
QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving. CoRR abs/2404.01486 (2024) - [i157]Sergio Casas, Ben Agro, Jiageng Mao, Thomas Gilles, Alexander Cui, Thomas Li, Raquel Urtasun:
DeTra: A Unified Model for Object Detection and Trajectory Forecasting. CoRR abs/2406.04426 (2024) - [i156]Ben Agro, Quinlan Sykora, Sergio Casas, Thomas Gilles, Raquel Urtasun:
UnO: Unsupervised Occupancy Fields for Perception and Forecasting. CoRR abs/2406.08691 (2024) - [i155]Chris Zhang, Sourav Biswas, Kelvin Wong, Kion Fallah, Lunjun Zhang, Dian Chen, Sergio Casas, Raquel Urtasun:
Learning to Drive via Asymmetric Self-Play. CoRR abs/2409.18218 (2024) - [i154]Ze Yang, George Chen, Haowei Zhang, Kevin Ta, Ioan Andrei Bârsan, Daniel Murphy, Sivabalan Manivasagam, Raquel Urtasun:
UniCal: Unified Neural Sensor Calibration. CoRR abs/2409.18953 (2024) - [i153]Yun Chen, Jingkang Wang, Ze Yang, Sivabalan Manivasagam, Raquel Urtasun:
G3R: Gradient Guided Generalizable Reconstruction. CoRR abs/2409.19405 (2024) - 2023
- [c239]Chris Zhang, James Tu, Lunjun Zhang, Kelvin Wong, Simon Suo, Raquel Urtasun:
Learning Realistic Traffic Agents in Closed-loop. CoRL 2023: 800-821 - [c238]Jay Sarva, Jingkang Wang, James Tu, Yuwen Xiong, Sivabalan Manivasagam, Raquel Urtasun:
Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation. CoRL 2023: 1316-1334 - [c237]Ali Athar, Enxu Li, Sergio Casas, Raquel Urtasun:
4D-Former: Multimodal 4D Panoptic Segmentation. CoRL 2023: 2151-2164 - [c236]James Tu, Simon Suo, Chris Zhang, Kelvin Wong, Raquel Urtasun:
Towards Scalable Coverage-Based Testing of Autonomous Vehicles. CoRL 2023: 2611-2623 - [c235]Anqi Joyce Yang, Sergio Casas, Nikita Dvornik, Sean Segal, Yuwen Xiong, Jordan Sir Kwang Hu, Carter Fang, Raquel Urtasun:
LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds. CoRL 2023: 3364-3383 - [c234]Yuwen Xiong, Wei-Chiu Ma, Jingkang Wang, Raquel Urtasun:
Learning Compact Representations for LiDAR Completion and Generation. CVPR 2023: 1074-1083 - [c233]Ben Agro, Quinlan Sykora, Sergio Casas, Raquel Urtasun:
Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving. CVPR 2023: 1379-1388 - [c232]Ze Yang, Yun Chen, Jingkang Wang, Sivabalan Manivasagam, Wei-Chiu Ma, Anqi Joyce Yang, Raquel Urtasun:
UniSim: A Neural Closed-Loop Sensor Simulator. CVPR 2023: 1389-1399 - [c231]Lunjun Zhang, Anqi Joyce Yang, Yuwen Xiong, Sergio Casas, Bin Yang, Mengye Ren, Raquel Urtasun:
Towards Unsupervised Object Detection from LiDAR Point Clouds. CVPR 2023: 9317-9328 - [c230]Simon Suo, Kelvin Wong, Justin Xu, James Tu, Alexander Cui, Sergio Casas, Raquel Urtasun:
MIXSIM: A Hierarchical Framework for Mixed Reality Traffic Simulation. CVPR 2023: 9622-9631 - [c229]Enxu Li, Sergio Casas, Raquel Urtasun:
MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory. ICCV 2023: 745-754 - [c228]Sivabalan Manivasagam, Ioan Andrei Bârsan, Jingkang Wang, Ze Yang, Raquel Urtasun:
Towards Zero Domain Gap: A Comprehensive Study of Realistic LiDAR Simulation for Autonomy Testing. ICCV 2023: 8238-8248 - [c227]Jeffrey Yunfan Liu, Yun Chen
, Ze Yang, Jingkang Wang, Sivabalan Manivasagam, Raquel Urtasun:
Real-Time Neural Rasterization for Large Scenes. ICCV 2023: 8382-8393 - [c226]Alexander Cui, Sergio Casas, Kelvin Wong, Simon Suo, Raquel Urtasun:
GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting. ICRA 2023: 7801-7807 - [c225]Ze Yang, Sivabalan Manivasagam, Yun Chen, Jingkang Wang, Rui Hu, Raquel Urtasun:
Reconstructing Objects in-the-wild for Realistic Sensor Simulation. ICRA 2023: 11661-11668 - [c224]Ava Pun, Gary Sun, Jingkang Wang, Yun Chen, Ze Yang, Sivabalan Manivasagam, Wei-Chiu Ma, Raquel Urtasun:
Neural Lighting Simulation for Urban Scenes. NeurIPS 2023 - [i152]Chris Zhang, Runsheng Guo, Wenyuan Zeng, Yuwen Xiong, Binbin Dai, Rui Hu, Mengye Ren, Raquel Urtasun:
Rethinking Closed-loop Training for Autonomous Driving. CoRR abs/2306.15713 (2023) - [i151]Ben Agro, Quinlan Sykora, Sergio Casas, Raquel Urtasun:
Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving. CoRR abs/2308.01471 (2023) - [i150]Ze Yang, Yun Chen, Jingkang Wang, Sivabalan Manivasagam, Wei-Chiu Ma, Anqi Joyce Yang, Raquel Urtasun:
UniSim: A Neural Closed-Loop Sensor Simulator. CoRR abs/2308.01898 (2023) - [i149]Lunjun Zhang, Yuwen Xiong, Ze Yang, Sergio Casas, Rui Hu, Raquel Urtasun:
Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion. CoRR abs/2311.01017 (2023) - [i148]Chris Zhang, James Tu, Lunjun Zhang, Kelvin Wong, Simon Suo, Raquel Urtasun:
Learning Realistic Traffic Agents in Closed-loop. CoRR abs/2311.01394 (2023) - [i147]Anqi Joyce Yang, Sergio Casas, Nikita Dvornik, Sean Segal, Yuwen Xiong, Jordan Sir Kwang Hu, Carter Fang, Raquel Urtasun:
LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds. CoRR abs/2311.01444 (2023) - [i146]Jay Sarva, Jingkang Wang, James Tu, Yuwen Xiong, Sivabalan Manivasagam, Raquel Urtasun:
Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation. CoRR abs/2311.01446 (2023) - [i145]Jingkang Wang, Sivabalan Manivasagam, Yun Chen, Ze Yang, Ioan Andrei Bârsan, Anqi Joyce Yang, Wei-Chiu Ma, Raquel Urtasun:
CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation. CoRR abs/2311.01447 (2023) - [i144]Yuwen Xiong, Wei-Chiu Ma, Jingkang Wang, Raquel Urtasun:
UltraLiDAR: Learning Compact Representations for LiDAR Completion and Generation. CoRR abs/2311.01448 (2023) - [i143]Ali Athar, Enxu Li, Sergio Casas, Raquel Urtasun:
4D-Former: Multimodal 4D Panoptic Segmentation. CoRR abs/2311.01520 (2023) - [i142]Enxu Li, Sergio Casas, Raquel Urtasun:
MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory. CoRR abs/2311.01556 (2023) - [i141]Lunjun Zhang, Anqi Joyce Yang, Yuwen Xiong, Sergio Casas, Bin Yang, Mengye Ren, Raquel Urtasun:
Towards Unsupervised Object Detection From LiDAR Point Clouds. CoRR abs/2311.02007 (2023) - [i140]Ze Yang, Sivabalan Manivasagam, Yun Chen, Jingkang Wang, Rui Hu, Raquel Urtasun:
Reconstructing Objects in-the-wild for Realistic Sensor Simulation. CoRR abs/2311.05602 (2023) - [i139]Jeffrey Yunfan Liu, Yun Chen, Ze Yang, Jingkang Wang, Sivabalan Manivasagam, Raquel Urtasun:
Real-Time Neural Rasterization for Large Scenes. CoRR abs/2311.05607 (2023) - [i138]Ava Pun, Gary Sun, Jingkang Wang, Yun Chen, Ze Yang, Sivabalan Manivasagam, Wei-Chiu Ma, Raquel Urtasun:
LightSim: Neural Lighting Simulation for Urban Scenes. CoRR abs/2312.06654 (2023) - 2022
- [j15]Xiaojuan Qi, Zhengzhe Liu, Renjie Liao, Philip H. S. Torr, Raquel Urtasun, Jiaya Jia:
GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 969-984 (2022) - [c223]Jingkang Wang, Sivabalan Manivasagam, Yun Chen, Ze Yang, Ioan Andrei Barsan, Anqi Joyce Yang, Wei-Chiu Ma, Raquel Urtasun:
CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation. CoRL 2022: 630-642 - [c222]Wei-Chiu Ma, Anqi Joyce Yang, Shenlong Wang, Raquel Urtasun, Antonio Torralba:
Virtual Correspondence: Humans as a Cue for Extreme-View Geometry. CVPR 2022: 15903-15913 - [c221]Chris Zhang, Runsheng Guo, Wenyuan Zeng, Yuwen Xiong, Binbin Dai, Rui Hu, Mengye Ren, Raquel Urtasun:
Rethinking Closed-Loop Training for Autonomous Driving. ECCV (39) 2022: 264-282 - [c220]Shivam Duggal, Zihao Wang, Wei-Chiu Ma, Sivabalan Manivasagam, Justin Liang, Shenlong Wang, Raquel Urtasun:
Mending Neural Implicit Modeling for 3D Vehicle Reconstruction in the Wild. WACV 2022: 277-286 - [i137]Wei-Chiu Ma, Anqi Joyce Yang, Shenlong Wang, Raquel Urtasun, Antonio Torralba:
Virtual Correspondence: Humans as a Cue for Extreme-View Geometry. CoRR abs/2206.08365 (2022) - [i136]Alexander Cui, Sergio Casas, Kelvin Wong, Simon Suo, Raquel Urtasun:
GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting. CoRR abs/2211.02545 (2022) - 2021
- [c219]Sean Segal, Nishanth Kumar, Sergio Casas, Wenyuan Zeng, Mengye Ren, Jingkang Wang, Raquel Urtasun:
Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes. CoRL 2021: 816-826 - [c218]James Tu, Huichen Li, Xinchen Yan, Mengye Ren, Yun Chen, Ming Liang, Eilyan Bitar, Ersin Yumer, Raquel Urtasun:
Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving. CoRL 2021: 1013-1024 - [c217]Shuhan Tan, Kelvin Wong, Shenlong Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun:
SceneGen: Learning To Generate Realistic Traffic Scenes. CVPR 2021: 892-901 - [c216]John Phillips, Julieta Martinez, Ioan Andrei Barsan, Sergio Casas, Abbas Sadat, Raquel Urtasun:
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction. CVPR 2021: 4679-4689 - [c215]Yun Chen, Frieda Rong, Shivam Duggal, Shenlong Wang, Xinchen Yan, Sivabalan Manivasagam, Shangjie Xue, Ersin Yumer, Raquel Urtasun:
GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving. CVPR 2021: 7230-7240 - [c214]Jingkang Wang, Ava Pun, James Tu, Sivabalan Manivasagam, Abbas Sadat, Sergio Casas, Mengye Ren, Raquel Urtasun:
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles. CVPR 2021: 9909-9918 - [c213]Simon Suo, Sebastian Regalado, Sergio Casas, Raquel Urtasun:
TrafficSim: Learning To Simulate Realistic Multi-Agent Behaviors. CVPR 2021: 10400-10409 - [c212]Ze Yang, Shenlong Wang, Sivabalan Manivasagam, Zeng Huang, Wei-Chiu Ma, Xinchen Yan, Ersin Yumer, Raquel Urtasun:
S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling. CVPR 2021: 13284-13293 - [c211]Sergio Casas, Abbas Sadat, Raquel Urtasun:
MP3: A Unified Model To Map, Perceive, Predict and Plan. CVPR 2021: 14403-14412 - [c210]Julieta Martinez, Jashan Shewakramani, Ting-Wei Liu, Ioan Andrei Barsan, Wenyuan Zeng, Raquel Urtasun:
Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks. CVPR 2021: 15699-15708 - [c209]James Tu, Tsun-Hsuan Wang, Jingkang Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun:
Adversarial Attacks On Multi-Agent Communication. ICCV 2021: 7748-7757 - [c208]Yuwen Xiong, Mengye Ren, Wenyuan Zeng, Raquel Urtasun Waabi:
Self-Supervised Representation Learning from Flow Equivariance. ICCV 2021: 10171-10180 - [c207]Alexander Cui, Sergio Casas, Abbas Sadat, Renjie Liao, Raquel Urtasun:
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving. ICCV 2021: 16087-16096 - [c206]Renjie Liao, Raquel Urtasun, Richard S. Zemel:
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks. ICLR 2021 - [c205]Bob Wei, Mengye Ren, Wenyuan Zeng, Ming Liang, Bin Yang, Raquel Urtasun:
Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving. ICRA 2021: 4875-4881 - [c204]Jerry Liu, Wenyuan Zeng, Raquel Urtasun, Ersin Yumer:
Deep Structured Reactive Planning. ICRA 2021: 4897-4904 - [c203]Anqi Joyce Yang, Can Cui, Ioan Andrei Bârsan, Raquel Urtasun, Shenlong Wang:
Asynchronous Multi-View SLAM. ICRA 2021: 5669-5676 - [c202]Wenyuan Zeng, Ming Liang, Renjie Liao, Raquel Urtasun:
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting. IROS 2021: 532-539 - [c201]Katie Luo, Sergio Casas, Renjie Liao, Xinchen Yan, Yuwen Xiong, Wenyuan Zeng, Raquel Urtasun:
Safety-Oriented Pedestrian Occupancy Forecasting. IROS 2021: 1015-1022 - [c200]Yan Wang, Bin Yang, Rui Hu, Ming Liang, Raquel Urtasun:
PLUMENet: Efficient 3D Object Detection from Stereo Images. IROS 2021: 3383-3390 - [c199]Abbas Sadat, Sean Segal, Sergio Casas, James Tu, Bin Yang, Raquel Urtasun, Ersin Yumer:
Diverse Complexity Measures for Dataset Curation in Self-Driving. IROS 2021: 8609-8616 - [c198]Xiaohui Zeng, Raquel Urtasun, Richard S. Zemel, Sanja Fidler, Renjie Liao:
NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation. UAI 2021: 1089-1099 - [i135]Katie Luo, Sergio Casas, Renjie Liao, Xinchen Yan, Yuwen Xiong, Wenyuan Zeng, Raquel Urtasun:
Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting. CoRR abs/2101.02385 (2021) - [i134]Shuhan Tan, Kelvin Wong, Shenlong Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun:
SceneGen: Learning to Generate Realistic Traffic Scenes. CoRR abs/2101.06541 (2021) - [i133]Yun Chen, Frieda Rong, Shivam Duggal, Shenlong Wang, Xinchen Yan, Sivabalan Manivasagam, Shangjie Xue, Ersin Yumer, Raquel Urtasun:
GeoSim: Photorealistic Image Simulation with Geometry-Aware Composition. CoRR abs/2101.06543 (2021) - [i132]Namdar Homayounfar, Justin Liang, Wei-Chiu Ma, Raquel Urtasun:
VideoClick: Video Object Segmentation with a Single Click. CoRR abs/2101.06545 (2021) - [i131]Alexander Cui, Abbas Sadat, Sergio Casas, Renjie Liao, Raquel Urtasun:
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving. CoRR abs/2101.06547 (2021) - [i130]Jingkang Wang, Ava Pun, James Tu, Sivabalan Manivasagam, Abbas Sadat, Sergio Casas, Mengye Ren, Raquel Urtasun:
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles. CoRR abs/2101.06549 (2021) - [i129]Yuwen Xiong, Mengye Ren, Wenyuan Zeng, Raquel Urtasun:
Self-Supervised Representation Learning from Flow Equivariance. CoRR abs/2101.06553 (2021) - [i128]Abbas Sadat, Sean Segal, Sergio Casas, James Tu, Bin Yang, Raquel Urtasun, Ersin Yumer:
Diverse Complexity Measures for Dataset Curation in Self-driving. CoRR abs/2101.06554 (2021) - [i127]Simon Suo, Sebastian Regalado, Sergio Casas, Raquel Urtasun:
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors. CoRR abs/2101.06557 (2021) - [i126]James Tu, Tsun-Hsuan Wang, Jingkang Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun:
Adversarial Attacks On Multi-Agent Communication. CoRR abs/2101.06560 (2021) - [i125]Anqi Joyce Yang, Can Cui, Ioan Andrei Bârsan, Raquel Urtasun, Shenlong Wang:
Asynchronous Multi-View SLAM. CoRR abs/2101.06562 (2021) - [i124]Ze Yang, Shenlong Wang, Sivabalan Manivasagam, Zeng Huang, Wei-Chiu Ma, Xinchen Yan, Ersin Yumer, Raquel Urtasun:
S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling. CoRR abs/2101.06571 (2021) - [i123]Bin Yang, Min Bai, Ming Liang, Wenyuan Zeng, Raquel Urtasun:
Auto4D: Learning to Label 4D Objects from Sequential Point Clouds. CoRR abs/2101.06586 (2021) - [i122]Jingkang Wang, Mengye Ren, Ilija Bogunovic, Yuwen Xiong, Raquel Urtasun:
Cost-Efficient Online Hyperparameter Optimization. CoRR abs/2101.06590 (2021) - [i121]Yan Wang, Bin Yang, Rui Hu, Ming Liang, Raquel Urtasun:
PLUME: Efficient 3D Object Detection from Stereo Images. CoRR abs/2101.06594 (2021) - [i120]Wenyuan Zeng, Yuwen Xiong, Raquel Urtasun:
Network Automatic Pruning: Start NAP and Take a Nap. CoRR abs/2101.06608 (2021) - [i119]Wenyuan Zeng, Ming Liang, Renjie Liao, Raquel Urtasun:
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting. CoRR abs/2101.06653 (2021) - [i118]Wenyuan Zeng, Wenjie Luo, Simon Suo, Abbas Sadat, Bin Yang, Sergio Casas, Raquel Urtasun:
End-to-end Interpretable Neural Motion Planner. CoRR abs/2101.06679 (2021) - [i117]John Phillips, Julieta Martinez, Ioan Andrei Bârsan, Sergio Casas, Abbas Sadat, Raquel Urtasun:
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction. CoRR abs/2101.06720 (2021) - [i116]Shenlong Wang, Simon Suo, Wei-Chiu Ma, Andrei Pokrovsky, Raquel Urtasun:
Deep Parametric Continuous Convolutional Neural Networks. CoRR abs/2101.06742 (2021) - [i115]James Tu, Huichen Li, Xinchen Yan, Mengye Ren, Yun Chen, Ming Liang, Eilyan Bitar, Ersin Yumer, Raquel Urtasun:
Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving. CoRR abs/2101.06784 (2021) - [i114]Sergio Casas, Abbas Sadat, Raquel Urtasun:
MP3: A Unified Model to Map, Perceive, Predict and Plan. CoRR abs/2101.06806 (2021) - [i113]Jerry Liu, Wenyuan Zeng, Raquel Urtasun, Ersin Yumer:
Deep Structured Reactive Planning. CoRR abs/2101.06832 (2021) - [i112]Shivam Duggal, Zihao Wang, Wei-Chiu Ma, Sivabalan Manivasagam, Justin Liang, Shenlong Wang, Raquel Urtasun:
Secrets of 3D Implicit Object Shape Reconstruction in the Wild. CoRR abs/2101.06860 (2021) - [i111]Min Bai, Shenlong Wang, Kelvin Wong, Ersin Yumer, Raquel Urtasun:
Non-parametric Memory for Spatio-Temporal Segmentation of Construction Zones for Self-Driving. CoRR abs/2101.06865 (2021) - [i110]Wei-Chiu Ma, Shenlong Wang, Jiayuan Gu, Sivabalan Manivasagam, Antonio Torralba, Raquel Urtasun:
Deep Feedback Inverse Problem Solver. CoRR abs/2101.07719 (2021) - [i109]Sergio Casas, Wenjie Luo, Raquel Urtasun:
IntentNet: Learning to Predict Intention from Raw Sensor Data. CoRR abs/2101.07907 (2021) - [i108]Sean Segal, Nishanth Kumar, Sergio Casas, Wenyuan Zeng, Mengye Ren, Jingkang Wang, Raquel Urtasun:
Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes. CoRR abs/2104.03956 (2021) - [i107]Xiaohui Zeng, Raquel Urtasun, Richard S. Zemel, Sanja Fidler, Renjie Liao:
NP-DRAW: A Non-Parametric Structured Latent Variable Modelfor Image Generation. CoRR abs/2106.13435 (2021) - 2020
- [c197]Meet Shah, Zhiling Huang, Ankit Laddha, Matthew Langford, Blake Barber, Sida Zhang, Carlos Vallespi-Gonzalez, Raquel Urtasun:
LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion. CoRL 2020: 31-48 - [c196]Ze Yang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wei-Chiu Ma, Raquel Urtasun:
Recovering and Simulating Pedestrians in the Wild. CoRL 2020: 419-431 - [c195]Sean Segal, Eric Kee, Wenjie Luo, Abbas Sadat, Ersin Yumer, Raquel Urtasun:
Universal Embeddings for Spatio-Temporal Tagging of Self-Driving Logs. CoRL 2020: 973-983 - [c194]Davi Frossard, Shun Da Suo, Sergio Casas, James Tu, Raquel Urtasun:
StrObe: Streaming Object Detection from LiDAR Packets. CoRL 2020: 1174-1183 - [c193]Nicholas Vadivelu, Mengye Ren, James Tu, Jingkang Wang, Raquel Urtasun:
Learning to Communicate and Correct Pose Errors. CoRL 2020: 1195-1210 - [c192]Lila Huang, Shenlong Wang, Kelvin Wong, Jerry Liu, Raquel Urtasun:
OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression. CVPR 2020: 1310-1320 - [c191]Justin Liang, Namdar Homayounfar, Wei-Chiu Ma, Yuwen Xiong, Rui Hu, Raquel Urtasun:
PolyTransform: Deep Polygon Transformer for Instance Segmentation. CVPR 2020: 9128-9137 - [c190]Sivabalan Manivasagam, Shenlong Wang, Kelvin Wong, Wenyuan Zeng, Mikita Sazanovich, Shuhan Tan, Bin Yang, Wei-Chiu Ma, Raquel Urtasun:
LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World. CVPR 2020: 11164-11173 - [c189]Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, Raquel Urtasun:
PnPNet: End-to-End Perception and Prediction With Tracking in the Loop. CVPR 2020: 11550-11559 - [c188]James Tu, Mengye Ren, Sivabalan Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun:
Physically Realizable Adversarial Examples for LiDAR Object Detection. CVPR 2020: 13713-13722 - [c187]