| 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 | 3351 | 2020 |
| MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction Y Chai, B Sapp, M Bansal, D Anguelov Conference on Robot Learning (CoRL), 2019 | 747 | 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 | 609 | 2020 |
| 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 | 575 | 2021 |
| 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 | 524 | 2019 |
| Symbiotic segmentation and part localization for fine-grained categorization Y Chai, V Lempitsky, A Zisserman International Conference on Computer Vision (ICCV), 2013 | 328 | 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 | 218 | 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 | 192 | 2021 |
| 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 | 133 | 2019 |
| 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 |
| 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 | 124 | 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 | 87 | 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 | 73 | 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 | 67 | 2021 |
| 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 | 56 | 2023 |
| 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 | 45 | 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 | 39 | 2019 |
| ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts M Cai, H Liu, SK Mustikovela, GP Meyer, Y Chai, D Park, YJ Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 27 | 2024 |
| 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 | 20 | 1912 |
Dragomir AnguelovVP and Head of Research, WaymoZweryfikowany adres z cs.stanford.edu