Articles with public access mandates - Yan WangLearn more
Available somewhere: 11
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
Mandates: US National Science Foundation, Bill & Melinda Gates Foundation, US …
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
Mandates: US National Science Foundation, Bill & Melinda Gates Foundation, US …
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
Mandates: US National Science Foundation, Bill & Melinda Gates Foundation, US …
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
Mandates: US National Science Foundation, Bill & Melinda Gates Foundation, US …
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
Mandates: US National Science Foundation, Bill & Melinda Gates Foundation, US …
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
Mandates: National Natural Science Foundation of China
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
Mandates: US National Science Foundation, Bill & Melinda Gates Foundation, US …
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
Mandates: US National Science Foundation, Bill & Melinda Gates Foundation, US …
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
Mandates: US National Science Foundation, US Department of Defense
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
Mandates: US National Science Foundation, US Department of Defense
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
Mandates: US National Science Foundation, US Department of Defense
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