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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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DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch

Sep 12, 2019
Shivam Duggal, Shenlong Wang, Wei-Chiu Ma, Rui Hu, Raquel Urtasun

* Accepted at International Conference on Computer Vision (ICCV) 2019 

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DSIC: Deep Stereo Image Compression

Aug 09, 2019
Jerry Liu, Shenlong Wang, Raquel Urtasun

* Accepted at International Conference on Computer Vision 2019 

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Exploiting Sparse Semantic HD Maps for Self-Driving Vehicle Localization

Aug 08, 2019
Wei-Chiu Ma, Ignacio Tartavull, Ioan Andrei Bârsan, Shenlong Wang, Min Bai, Gellert Mattyus, Namdar Homayounfar, Shrinidhi Kowshika Lakshmikanth, Andrei Pokrovsky, Raquel Urtasun

* 8 pages, 4 figures, 4 tables, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019) 

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Deformable Filter Convolution for Point Cloud Reasoning

Jul 30, 2019
Yuwen Xiong, Mengye Ren, Renjie Liao, Kelvin Wong, Raquel Urtasun


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DARNet: Deep Active Ray Network for Building Segmentation

May 15, 2019
Dominic Cheng, Renjie Liao, Sanja Fidler, Raquel Urtasun

* CVPR 2019 

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Deep Multi-Sensor Lane Detection

May 04, 2019
Min Bai, Gellert Mattyus, Namdar Homayounfar, Shenlong Wang, Shrinidhi Kowshika Lakshmikanth, Raquel Urtasun

* IEEE International Conference on Intelligent Robots and Systems (IROS) 2018 

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DeepSignals: Predicting Intent of Drivers Through Visual Signals

May 03, 2019
Davi Frossard, Eric Kee, Raquel Urtasun

* To be presented at the IEEE International Conference on Robotics and Automation (ICRA), 2019 

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Deep Rigid Instance Scene Flow

Apr 18, 2019
Wei-Chiu Ma, Shenlong Wang, Rui Hu, Yuwen Xiong, Raquel Urtasun

* CVPR 2019. Rank 1st on KITTI scene flow benchmark. 800 times faster than prior art 

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PIXOR: Real-time 3D Object Detection from Point Clouds

Mar 02, 2019
Bin Yang, Wenjie Luo, Raquel Urtasun

* Update of CVPR2018 paper: correct timing, fix typos, add acknowledgement 

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UPSNet: A Unified Panoptic Segmentation Network

Jan 12, 2019
Yuwen Xiong, Renjie Liao, Hengshuang Zhao, Rui Hu, Min Bai, Ersin Yumer, Raquel Urtasun

* Technical report 

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LanczosNet: Multi-Scale Deep Graph Convolutional Networks

Jan 06, 2019
Renjie Liao, Zhizhen Zhao, Raquel Urtasun, Richard S. Zemel

* The International Conference on Learning Representations (ICLR) 2019 

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SurfConv: Bridging 3D and 2D Convolution for RGBD Images

Dec 04, 2018
Hang Chu, Wei-Chiu Ma, Kaustav Kundu, Raquel Urtasun, Sanja Fidler

* CVPR (2018) 3002-3011 
* Published at CVPR 2018 

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Neural Guided Constraint Logic Programming for Program Synthesis

Oct 26, 2018
Lisa Zhang, Gregory Rosenblatt, Ethan Fetaya, Renjie Liao, William E. Byrd, Matthew Might, Raquel Urtasun, Richard Zemel

* To appear in NIPS 2018 

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