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Conditional Entropy Coding for Efficient Video Compression

Aug 20, 2020
Jerry Liu, Shenlong Wang, Wei-Chiu Ma, Meet Shah, Rui Hu, Pranaab Dhawan, Raquel Urtasun

* ECCV 2020 

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Weakly-supervised 3D Shape Completion in the Wild

Aug 20, 2020
Jiayuan Gu, Wei-Chiu Ma, Sivabalan Manivasagam, Wenyuan Zeng, Zihao Wang, Yuwen Xiong, Hao Su, Raquel Urtasun

* Accepted by ECCV 2020 

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V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction

Aug 17, 2020
Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wenyuan Zeng, James Tu, Raquel Urtasun

* ECCV 2020 (Oral) 

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DSDNet: Deep Structured self-Driving Network

Aug 13, 2020
Wenyuan Zeng, Shenlong Wang, Renjie Liao, Yun Chen, Bin Yang, Raquel Urtasun

* ECCV 2020 

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Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction

Aug 13, 2020
Kelvin Wong, Qiang Zhang, Ming Liang, Bin Yang, Renjie Liao, Abbas Sadat, Raquel Urtasun

* ECCV 2020 

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Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations

Aug 13, 2020
Abbas Sadat, Sergio Casas, Mengye Ren, Xinyu Wu, Pranaab Dhawan, Raquel Urtasun

* European Conference on Computer Vision (ECCV) 2020 

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End-to-end Contextual Perception and Prediction with Interaction Transformer

Aug 13, 2020
Lingyun Luke Li, Bin Yang, Ming Liang, Wenyuan Zeng, Mengye Ren, Sean Segal, Raquel Urtasun

* IROS 2020 

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LoCo: Local Contrastive Representation Learning

Aug 04, 2020
Yuwen Xiong, Mengye Ren, Raquel Urtasun

* tech report 

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LevelSet R-CNN: A Deep Variational Method for Instance Segmentation

Jul 30, 2020
Namdar Homayounfar, Yuwen Xiong, Justin Liang, Wei-Chiu Ma, Raquel Urtasun

* ECCV 2020 

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RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects

Jul 28, 2020
Bin Yang, Runsheng Guo, Ming Liang, Sergio Casas, Raquel Urtasun

* ECCV 2020 

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Learning Lane Graph Representations for Motion Forecasting

Jul 27, 2020
Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao, Song Feng, Raquel Urtasun

* ECCV 2020 Oral 

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Implicit Latent Variable Model for Scene-Consistent Motion Forecasting

Jul 23, 2020
Sergio Casas, Cole Gulino, Simon Suo, Katie Luo, Renjie Liao, Raquel Urtasun

* European Conference on Computer Vision (ECCV) 2020 

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Hierarchical Verification for Adversarial Robustness

Jul 23, 2020
Cong Han Lim, Raquel Urtasun, Ersin Yumer

* Published at ICML 2020 

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Multi-Agent Routing Value Iteration Network

Jul 09, 2020
Quinlan Sykora, Mengye Ren, Raquel Urtasun

* Published at ICML 2020 

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PnPNet: End-to-End Perception and Prediction with Tracking in the Loop

Jun 27, 2020
Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, Raquel Urtasun

* CVPR2020 

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LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World

Jun 16, 2020
Sivabalan Manivasagam, Shenlong Wang, Kelvin Wong, Wenyuan Zeng, Mikita Sazanovich, Shuhan Tan, Bin Yang, Wei-Chiu Ma, Raquel Urtasun

* CVPR 2020 (Oral) 

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The Importance of Prior Knowledge in Precise Multimodal Prediction

Jun 04, 2020
Sergio Casas, Cole Gulino, Simon Suo, Raquel Urtasun


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ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds

May 24, 2020
Kibok Lee, Zhuoyuan Chen, Xinchen Yan, Raquel Urtasun, Ersin Yumer

* 3D Point Clouds, Adversarial Learning 

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OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression

May 14, 2020
Lila Huang, Shenlong Wang, Kelvin Wong, Jerry Liu, Raquel Urtasun

* CVPR 2020 (Oral) 

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Physically Realizable Adversarial Examples for LiDAR Object Detection

Apr 02, 2020
James Tu, Mengye Ren, Siva Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun

* Accepted to CVPR 2020 

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Dense RepPoints: Representing Visual Objects with Dense Point Sets

Dec 24, 2019
Ze Yang, Yinghao Xu, Han Xue, Zheng Zhang, Raquel Urtasun, Liwei Wang, Stephen Lin, Han Hu


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PolyTransform: Deep Polygon Transformer for Instance Segmentation

Dec 06, 2019
Justin Liang, Namdar Homayounfar, Wei-Chiu Ma, Yuwen Xiong, Rui Hu, Raquel Urtasun

* typos corrected 

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Identifying Unknown Instances for Autonomous Driving

Oct 24, 2019
Kelvin Wong, Shenlong Wang, Mengye Ren, Ming Liang, Raquel Urtasun

* 3rd Conference on Robot Learning (CoRL 2019) 

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Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data

Oct 18, 2019
Sergio Casas, Cole Gulino, Renjie Liao, Raquel Urtasun


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Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction

Oct 17, 2019
Ajay Jain, Sergio Casas, Renjie Liao, Yuwen Xiong, Song Feng, Sean Segal, Raquel Urtasun

* CoRL 2019 

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Learning to Remember from a Multi-Task Teacher

Oct 10, 2019
Yuwen Xiong, Mengye Ren, Raquel Urtasun


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Jointly Learnable Behavior and Trajectory Planning for Self-Driving Vehicles

Oct 10, 2019
Abbas Sadat, Mengye Ren, Andrei Pokrovsky, Yen-Chen Lin, Ersin Yumer, Raquel Urtasun

* IROS 2019 

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Efficient Graph Generation with Graph Recurrent Attention Networks

Oct 02, 2019
Renjie Liao, Yujia Li, Yang Song, Shenlong Wang, Charlie Nash, William L. Hamilton, David Duvenaud, Raquel Urtasun, Richard S. Zemel

* Neural Information Processing Systems (NeurIPS) 2019 

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DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation

Sep 27, 2019
Xiaohui Zeng, Renjie Liao, Li Gu, Yuwen Xiong, Sanja Fidler, Raquel Urtasun

* ICCV 2019 

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