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
1298 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
496 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
420 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
330 2018 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
251 2019 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
249 2020 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
200 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
116 2021 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
103 2023 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
98 2016 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
52 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
51 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
50 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
38 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
30 * 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
24 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 Y Fang, L Zhu, Y Lu, Y Wang, P Molchanov, J Kautz, JH Cho, M Pavone, ...
arXiv preprint arXiv:2407.17453, 2024
15 2024 
Kilian WeinbergerCornell UniversityZweryfikowany adres z cornell.edu