Yan Wang

Conference:

Fixed Neural Network Steganography: Train the images, not the network .

Varsha Kishore, Xiangyu Chen, Yan Wang, Boyi Li, Kilian Q Weinberger

International Conference on Learning Representations (ICLR 2022).

Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection.

Yurong You, Carlos Andres Diaz-Ruiz, Yan Wang, Wei-Lun Chao, Bharath Hariharan, Mark Campbell, Kilian Q Weinberger

International Conference on Robotics and Automation (ICRA 2022).

PLUME: Efficient 3D Object Detection from Stereo Images .

Yan Wang, Bin Yang, Rui Hu, Ming Liang, Raquel Urtasun

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021).

Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation.

Luyu Yang, Yan Wang, Mingfei Gao, Abhinav Shrivastava, Kilian Q Weinberger, Wei-Lun Chao, Ser-Nam Lim

International Conference on Computer Vision (ICCV 2021).

Spatial-Temporal Graph Neural Network For Interaction-Aware Vehicle Trajectory Prediction.

Junan Chen, Yan Wang, Ruihan Wu, Mark Campbell

IEEE International Conference on Automation Science and Engineering (CASE 2021).

Wasserstein Distances for Stereo Disparity Estimation.

Divyansh Garg, Yan Wang, Bharath Hariharan, Mark Campbell, Kilian Q Weinberger, Wei-Lun Chao

Advances In Neural Information Processing Systems (NeurIPS) 2020.

Train in Germany, Test in The USA: Making 3D Object Detectors Generalize.

Yan Wang*, Xiangyu Chen*, Yurong You, Li Erran Li, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020.

Selected Media Coverage: CVPR Daily

End-to-end Pseudo-LiDAR for Image-Based 3D Object Detection .

Rui Qian*, Divyansh Garg*, Yan Wang*, Yurong You*, Serge Belongie, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020.

Selected Media Coverage: Forbes

[code] Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving.

Yurong You*, Yan Wang*, Wei-Lun Chao*, Div Garg, Geoff Pleiss, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger

International Conference on Learning Representations (ICLR) 2020.

[project page] [video] Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving.

Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019

Selected Media Coverage: Cornell Chronicle, Forbes, NSF, 机器之心, Gizmodo, Teslarati

[project page] [video] [code] Anytime Stereo Image Depth Estimation on Mobile Devices.

Yan Wang*, Zihang Lai*, Gao Huang, Brian H. Wang, Laurens van der Maaten, Mark Campbell, Kilian Q. Weinberger

IEEE International Conference on Robotics and Automation (ICRA) 2019.

[code]LDLS: 3D Object Segmentation through Label Diffusion from 2D Images

Brian H. Wang, Wei-Lun Chao, Yan Wang, Bharath Hariharan, Kilian Q. Weinberger, Mark Campbell

IEEE Robotics and Automation Letters. (RA-L) 2019.

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2019.

Vision-only 3D Tracking for Self-Driving Cars

Carlos Diaz-Ruiz, Yan Wang, Wei-Lun Chao, Kilian Weinberger, Mark Campbell

IEEE 15th International Conference on Automation Science and Engineering (CASE) 2019.

[code] Resource Aware Person Re-identification across Multiple Resolutions.

Yan Wang*, Lequn Wang*, Yurong You*, Xu Zou, Vincent Chen, Serena Li, Bharath Hariharan, Gao Huang, Kilian Q. Weinberger

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018

A Powerful Generative Model Using RandomWeights for the Deep Image Representation.

Kun He*, Yan Wang*, John E. Hopcroft*

Neural Information Processing Systems (NeurIPS) 2016

[code] SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning.

Yan Wang, Wei-Lun Chao, Kilian Q. Weinberger, Laurens van der Maaten

arXiv Preprint (2019).

Deep Person Re-identification for Probabilistic Data Association in Multiple Pedestrian Tracking.

Brian H. Wang, Yan Wang, Kilian Q. Weinberger, Mark Campbell

arXiv Preprint (2018).