| Pseudo-LiDAR from visual depth estimation: Bridging the gap in 3d object detection for autonomous driving Y Wang, WL Chao, D Garg, B Hariharan, M Campbell, KQ Weinberger IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 8445-8453, 2019 | 1277 | 2019 |
| Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving Y You*, Y Wang*, WL Chao, D Garg, G Pleiss, B Hariharan, M Campbell, ... International Conference on Learning Representations (ICLR), 2019 | 483 | 2019 |
| Simpleshot: Revisiting nearest-neighbor classification for few-shot learning Y Wang, WL Chao, KQ Weinberger, L Van Der Maaten arXiv preprint arXiv:1911.04623, 2019 | 415 | 2019 |
| Resource Aware Person Re-identification across Multiple Resolutions Y Wang, L Wang, Y You, X Zou, V Chen, S Li, G Huang, B Hariharan, ... IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 8042-8051, 2018 | 328 | 2018 |
| End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection R Qian*, D Garg*, Y Wang*, Y You*, S Belongie, B Hariharan, ... IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 5881-5890, 2020 | 246 | 2020 |
| Anytime stereo image depth estimation on mobile devices Y Wang, Z Lai, G Huang, BH Wang, L Van Der Maaten, M Campbell, ... 2019 international conference on robotics and automation (ICRA), 5893-5900, 2019 | 246 | 2019 |
| Train in Germany, Test in The USA: Making 3D Object Detectors Generalize Y Wang, X Chen, Y You, LE Li, B Hariharan, M Campbell, KQ Weinberger, ... IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 11713 …, 2020 | 193 | 2020 |
| Deep co-training with task decomposition for semi-supervised domain adaptation L Yang, Y Wang, M Gao, A Shrivastava, KQ Weinberger, WL Chao, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 112 | 2021 |
| A Powerful Generative Model Using Random Weights for the Deep Image Representation K He, Y Wang, J Hopcroft Advances In Neural Information Processing Systems (NeurIPS), 631-639, 2016 | 97 | 2016 |
| Waymax: An accelerated, data-driven simulator for large-scale autonomous driving research C Gulino, J Fu, W Luo, G Tucker, E Bronstein, Y Lu, J Harb, X Pan, ... Advances in Neural Information Processing Systems 36, 7730-7742, 2023 | 88 | 2023 |
| Wasserstein Distances for Stereo Disparity Estimation D Garg, Y Wang, B Hariharan, M Campbell, KQ Weinberger, WL Chao Advances In Neural Information Processing Systems (NeurIPS), 2020 | 79 | 2020 |
| PLUME: Efficient 3D Object Detection from Stereo Images Y Wang, B Yang, R Hu, M Liang, R Urtasun International Conference on Intelligent Robots and Systems (IROS), 2021 | 53 | 2021 |
| Fixed Neural Network Steganography: Train the images, not the network V Kishore, X Chen, Y Wang, B Li, KQ Weinberger International Conference on Learning Representations (ICLR), 2021 | 48 | 2021 |
| Ithaca365: Dataset and driving perception under repeated and challenging weather conditions CA Diaz-Ruiz, Y Xia, Y You, J Nino, J Chen, J Monica, X Chen, K Luo, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 46 | 2022 |
| LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images BH Wang, WL Chao, Y Wang, B Hariharan, KQ Weinberger, M Campbell IEEE Robotics and Automation Letters 4 (3), 2902 - 2909, 2019 | 37 | 2019 |
| Exploiting playbacks in unsupervised domain adaptation for 3D object detection Y You, CA Diaz-Ruiz, Y Wang, WL Chao, B Hariharan, M Campbell, ... IEEE International Conference on Robotics and Automation (ICRA), 2021 | 31* | 2021 |
| Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation Maps KZ Luo, X Weng, Y Wang, S Wu, J Li, KQ Weinberger, Y Wang, M Pavone International Conference on Robotics and Automation, 2024 | 24 | 2024 |
| PARA-Drive: Parallelized Architecture for Real-time Autonomous Driving X Weng, B Ivanovic, Y Wang, Y Wang, M Pavone Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 17 | 2024 |
| Spatial-temporal graph neural network for interaction-aware vehicle trajectory prediction J Chen, Y Wang, R Wu, M Campbell 2021 IEEE 17th International Conference on Automation Science and …, 2021 | 17 | 2021 |
| VILA: VILA Augmented VILA Y Fang, L Zhu, Y Lu, Y Wang, P Molchanov, J Kautz, JH Cho, M Pavone, ... arXiv preprint arXiv:2407.17453, 2024 | 13 | 2024 |
Kilian WeinbergerCornell UniversityVerifierad e-postadress på cornell.edu