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Yuning CHAI
Yuning CHAI
Cruise LLC
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Citirano
Citirano
Godina
Scalability in perception for autonomous driving: Waymo open dataset
P Sun, H Kretzschmar, X Dotiwalla, A Chouard, V Patnaik, P Tsui, J Guo, ...
Computer Vision and Pattern Recognition (CVPR), arXiv: 1912.04838, 2020
10542020
FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation
P Voigtlaender, Y Chai, F Schroff, H Adam, B Leibe, LC Chen
Computer Vision and Pattern Recognition (CVPR), 2019
3192019
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction
Y Chai, B Sapp, M Bansal, D Anguelov
Conference on Robot Learning (CoRL), 2019
3092019
Symbiotic segmentation and part localization for fine-grained categorization
Y Chai, V Lempitsky, A Zisserman
International Conference on Computer Vision (ICCV), 2013
2942013
Bicos: A bi-level co-segmentation method for image classification
Y Chai, V Lempitsky, A Zisserman
International Conference on Computer Vision (ICCV), 2011
2332011
TNT: Target-driveN Trajectory Prediction
H Zhao, J Gao, T Lan, C Sun, B Sapp, B Varadarajan, Y Shen, Y Shen, ...
Conference on Robot Learning (CoRL), 2020
1772020
Tricos: A tri-level class-discriminative co-segmentation method for image classification
Y Chai, E Rahtu, V Lempitsky, L Van Gool, A Zisserman
European Conference on Computer Vision (ECCV), 2012
1262012
Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset
S Ettinger, S Cheng, B Caine, C Liu, H Zhao, S Pradhan, Y Chai, B Sapp, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
1032021
Starnet: Targeted computation for object detection in point clouds
J Ngiam, B Caine, W Han, B Yang, Y Chai, P Sun, Y Zhou, X Yi, O Alsharif, ...
arXiv preprint arXiv:1908.11069, 2019
762019
RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection
P Sun, W Wang, Y Chai, G Elsayed, A Bewley, X Zhang, C Sminchisescu, ...
Computer Vision and Pattern Recognition (CVPR), 2021
592021
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout
Z Chen, J Ngiam, Y Huang, T Luong, H Kretzschmar, Y Chai, D Anguelov
Advances in Neural Information Processing Systems, 2020
462020
SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving
Z Yang, Y Chai, D Anguelov, Y Zhou, P Sun, D Erhan, S Rafferty, ...
Computer Vision and Pattern Recognition (CVPR), 2020
422020
Patchwork: A Patch-wise Attention Network for Efficient Object Detection and Segmentation in Video Streams
Y Chai
International Conference on Computer Vision (ICCV), 2019
262019
To the Point: Efficient 3D Object Detection in the Range Image With Graph Convolution Kernels
Y Chai, P Sun, J Ngiam, W Wang, B Caine, V Vasudevan, X Zhang, ...
Computer Vision and Pattern Recognition (CVPR), 2021
252021
Pseudo-labeling for scalable 3d object detection
B Caine, R Roelofs, V Vasudevan, J Ngiam, Y Chai, Z Chen, J Shlens
arXiv preprint arXiv:2103.02093, 2021
212021
Recognition between a large number of flower species
Y Chai
University of Oxford, 2011
132011
Scalability in perception for autonomous driving: Waymo open dataset. arXiv 2019
P Sun, H Kretzschmar, X Dotiwalla, A Chouard, V Patnaik, P Tsui, J Guo, ...
arXiv preprint arXiv:1912.04838, 0
12
SoDA: Multi-object tracking with soft data association
WC Hung, H Kretzschmar, TY Lin, Y Chai, R Yu, MH Yang, D Anguelov
arXiv preprint arXiv:2008.07725, 2020
112020
HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps
L Mi, H Zhao, C Nash, X Jin, J Gao, C Sun, C Schmid, N Shavit, Y Chai, ...
Computer Vision and Pattern Recognition (CVPR), 2021
92021
Occupancy Flow Fields for Motion Forecasting in Autonomous Driving
R Mahjourian, J Kim, Y Chai, M Tan, B Sapp, D Anguelov
International Conference on Robotics and Automation (ICRA), 2022
72022
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