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 | 2918 | 2020 |
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction Y Chai, B Sapp, M Bansal, D Anguelov Conference on Robot Learning (CoRL), 2019 | 669 | 2019 |
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 | 522 | 2020 |
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 | 504 | 2019 |
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 | 495 | 2021 |
Symbiotic segmentation and part localization for fine-grained categorization Y Chai, V Lempitsky, A Zisserman International Conference on Computer Vision (ICCV), 2013 | 323 | 2013 |
Bicos: A bi-level co-segmentation method for image classification Y Chai, V Lempitsky, A Zisserman International Conference on Computer Vision (ICCV), 2011 | 246 | 2011 |
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 | 189 | 2020 |
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 | 176 | 2021 |
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 | 133 | 2012 |
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 | 127 | 2019 |
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 | 113 | 2020 |
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 | 81 | 2021 |
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 | 66 | 2022 |
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 | 61 | 2021 |
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 | 44 | 2021 |
Patchwork: A Patch-wise Attention Network for Efficient Object Detection and Segmentation in Video Streams Y Chai International Conference on Computer Vision (ICCV), 2019 | 37 | 2019 |
Making large multimodal models understand arbitrary visual prompts M Cai, H Liu, SK Mustikovela, GP Meyer, Y Chai, D Park, YJ Lee arXiv preprint arXiv:2312.00784, 2023 | 33 | 2023 |
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, 1912 | 19 | 1912 |
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 | 17 | 2020 |