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Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset


Apr 20, 2021
Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Ben Sapp, Charles Qi, Yin Zhou, Zoey Yang, Aurelien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov

* 15 pages, 10 figures 

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Pseudo-labeling for Scalable 3D Object Detection


Mar 02, 2021
Benjamin Caine, Rebecca Roelofs, Vijay Vasudevan, Jiquan Ngiam, Yuning Chai, Zhifeng Chen, Jonathon Shlens


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Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout


Oct 14, 2020
Zhao Chen, Jiquan Ngiam, Yanping Huang, Thang Luong, Henrik Kretzschmar, Yuning Chai, Dragomir Anguelov

* Conference on Neural Information Processing Systems (NeurIPS) 2020 

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TNT: Target-driveN Trajectory Prediction


Aug 21, 2020
Hang Zhao, Jiyang Gao, Tian Lan, Chen Sun, Benjamin Sapp, Balakrishnan Varadarajan, Yue Shen, Yi Shen, Yuning Chai, Cordelia Schmid, Congcong Li, Dragomir Anguelov


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SoDA: Multi-Object Tracking with Soft Data Association


Aug 19, 2020
Wei-Chih Hung, Henrik Kretzschmar, Tsung-Yi Lin, Yuning Chai, Ruichi Yu, Ming-Hsuan Yang, Dragomir Anguelov


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SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving


May 08, 2020
Zhenpei Yang, Yuning Chai, Dragomir Anguelov, Yin Zhou, Pei Sun, Dumitru Erhan, Sean Rafferty, Henrik Kretzschmar

* CVPR 2020 

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Scalability in Perception for Autonomous Driving: Waymo Open Dataset


Dec 18, 2019
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jonathon Shlens, Zhifeng Chen, Dragomir Anguelov


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Scalability in Perception for Autonomous Driving: An Open Dataset Benchmark


Dec 11, 2019
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jon Shlens, Zhifeng Chen, Dragomir Anguelov


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MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction


Oct 12, 2019
Yuning Chai, Benjamin Sapp, Mayank Bansal, Dragomir Anguelov

* Appears in CoRL 2019 

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StarNet: Targeted Computation for Object Detection in Point Clouds


Aug 29, 2019
Jiquan Ngiam, Benjamin Caine, Wei Han, Brandon Yang, Yuning Chai, Pei Sun, Yin Zhou, Xi Yi, Ouais Alsharif, Patrick Nguyen, Zhifeng Chen, Jonathon Shlens, Vijay Vasudevan


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FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation


Apr 08, 2019
Paul Voigtlaender, Yuning Chai, Florian Schroff, Hartwig Adam, Bastian Leibe, Liang-Chieh Chen

* IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019 
* CVPR 2019 camera-ready version 

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Patchwork: A Patch-wise Attention Network for Efficient Object Detection and Segmentation in Video Streams


Apr 03, 2019
Yuning Chai


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