Yuning CHAI
Yuning CHAI
Cruise LLC
Verified email at getcruise.com - Homepage
Title
Cited by
Cited by
Year
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
2772020
Symbiotic segmentation and part localization for fine-grained categorization
Y Chai, V Lempitsky, A Zisserman
International Conference on Computer Vision (ICCV), 2013
2592013
Bicos: A bi-level co-segmentation method for image classification
Y Chai, V Lempitsky, A Zisserman
International Conference on Computer Vision (ICCV), 2011
2202011
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
1472019
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction
Y Chai, B Sapp, M Bansal, D Anguelov
Conference on Robot Learning (CoRL), 2019
1312019
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
1232012
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
352019
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
292020
Recognition between a large number of flower species
Y Chai
University of Oxford, 2011
112011
Patchwork: A Patch-wise Attention Network for Efficient Object Detection and Segmentation in Video Streams
Y Chai
International Conference on Computer Vision (ICCV), 2019
82019
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
72020
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
62020
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
6
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, ...
arXiv preprint arXiv:2104.10133, 2021
42021
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
32020
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
22021
Multi object tracking using memory attention
WC Hung, H Kretzschmar, Y Chai, D Anguelov
US Patent App. 17/099,634, 2021
2021
Generating Environmental Data
Z Yang, Y Chai, Y Zhou, P Sun, H Kretzschmar, S Rafferty, D Erhan, ...
US Patent App. 17/098,943, 2021
2021
Object detection in point clouds
J Shlens, PAP Nguyen, BJ Caine, J Ngiam, W Han, BC Yang, Y Chai, ...
US Patent App. 16/923,823, 2021
2021
Agent trajectory prediction using anchor trajectories
Y Chai, B Sapp, M Bansal, D Anguelov
US Patent App. 16/919,872, 2021
2021
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Articles 1–20