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Yan Wang
Yan Wang
Research Scientist, Waymo
Verified email at waymo.com - Homepage
Title
Cited by
Cited by
Year
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
5132019
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
2232018
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
1862019
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
1412019
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
992019
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
802016
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection
R Qian, D Garg, Y Wang, Y You, S Belongie, B Hariharan, M Campbell, ...
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 5881-5890, 2020
762020
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
412020
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
192021
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
182020
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
182019
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
142021
Vision-only 3d tracking for self-driving cars
C Diaz-Ruiz, Y Wang, WL Chao, K Weinberger, M Campbell
2019 IEEE 15th International Conference on Automation Science and …, 2019
42019
Deep person re-identification for probabilistic data association in multiple pedestrian tracking
BH Wang, Y Wang, KQ Weinberger, M Campbell
arXiv preprint arXiv:1810.08565, 2018
42018
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
32021
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
22021
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
2021
Performance of the machine learning method XG-Boost for prediction of clinical health disorders in lactating dairy cows.
MM Perez, Y You, Y Wang, KQ Weinberger, DV Nydam, JO Giordano
JOURNAL OF DAIRY SCIENCE 103, 28-28, 2020
2020
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