Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Shengjin Wang

Shengjin Wang

Adaptive Affinity for Associations in Multi-Target Multi-Camera Tracking


Dec 14, 2021
Yunzhong Hou, Zhongdao Wang, Shengjin Wang, Liang Zheng

Add code

Figure 1 for Adaptive Affinity for Associations in Multi-Target Multi-Camera Tracking
Figure 2 for Adaptive Affinity for Associations in Multi-Target Multi-Camera Tracking
Figure 3 for Adaptive Affinity for Associations in Multi-Target Multi-Camera Tracking
Figure 4 for Adaptive Affinity for Associations in Multi-Target Multi-Camera Tracking
* This paper appears in: IEEE Transactions on Image Processing 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification


Nov 01, 2021
Zhenyu Wang, Yali Li, Ye Guo, Shengjin Wang

Add code

Figure 1 for Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification
Figure 2 for Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification
Figure 3 for Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification
Figure 4 for Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification
* Accepted by NeurIPS 2021 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

EFENet: Reference-based Video Super-Resolution with Enhanced Flow Estimation


Oct 28, 2021
Yaping Zhao, Mengqi Ji, Ruqi Huang, Bin Wang, Shengjin Wang

Add code

Figure 1 for EFENet: Reference-based Video Super-Resolution with Enhanced Flow Estimation
Figure 2 for EFENet: Reference-based Video Super-Resolution with Enhanced Flow Estimation
Figure 3 for EFENet: Reference-based Video Super-Resolution with Enhanced Flow Estimation
Figure 4 for EFENet: Reference-based Video Super-Resolution with Enhanced Flow Estimation
* 12 pages, 6 figures 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Towards Discriminative Representation Learning for Unsupervised Person Re-identification


Aug 16, 2021
Takashi Isobe, Dong Li, Lu Tian, Weihua Chen, Yi Shan, Shengjin Wang

Add code

Figure 1 for Towards Discriminative Representation Learning for Unsupervised Person Re-identification
Figure 2 for Towards Discriminative Representation Learning for Unsupervised Person Re-identification
Figure 3 for Towards Discriminative Representation Learning for Unsupervised Person Re-identification
Figure 4 for Towards Discriminative Representation Learning for Unsupervised Person Re-identification
* ICCV 2021 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Do Different Tracking Tasks Require Different Appearance Models?


Jul 05, 2021
Zhongdao Wang, Hengshuang Zhao, Ya-Li Li, Shengjin Wang, Philip H. S. Torr, Luca Bertinetto

Add code

Figure 1 for Do Different Tracking Tasks Require Different Appearance Models?
Figure 2 for Do Different Tracking Tasks Require Different Appearance Models?
Figure 3 for Do Different Tracking Tasks Require Different Appearance Models?
Figure 4 for Do Different Tracking Tasks Require Different Appearance Models?

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

AdaZoom: Adaptive Zoom Network for Multi-Scale Object Detection in Large Scenes


Jun 19, 2021
Jingtao Xu, Yali Li, Shengjin Wang

Add code

Figure 1 for AdaZoom: Adaptive Zoom Network for Multi-Scale Object Detection in Large Scenes
Figure 2 for AdaZoom: Adaptive Zoom Network for Multi-Scale Object Detection in Large Scenes
Figure 3 for AdaZoom: Adaptive Zoom Network for Multi-Scale Object Detection in Large Scenes
Figure 4 for AdaZoom: Adaptive Zoom Network for Multi-Scale Object Detection in Large Scenes

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Multi-Target Domain Adaptation with Collaborative Consistency Learning


Jun 07, 2021
Takashi Isobe, Xu Jia, Shuaijun Chen, Jianzhong He, Yongjie Shi, Jianzhuang Liu, Huchuan Lu, Shengjin Wang

Add code

Figure 1 for Multi-Target Domain Adaptation with Collaborative Consistency Learning
Figure 2 for Multi-Target Domain Adaptation with Collaborative Consistency Learning
Figure 3 for Multi-Target Domain Adaptation with Collaborative Consistency Learning
Figure 4 for Multi-Target Domain Adaptation with Collaborative Consistency Learning
* CVPR 2021 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

A^2-FPN: Attention Aggregation based Feature Pyramid Network for Instance Segmentation


May 07, 2021
Miao Hu, Yali Li, Lu Fang, Shengjin Wang

Add code

Figure 1 for A^2-FPN: Attention Aggregation based Feature Pyramid Network for Instance Segmentation
Figure 2 for A^2-FPN: Attention Aggregation based Feature Pyramid Network for Instance Segmentation
Figure 3 for A^2-FPN: Attention Aggregation based Feature Pyramid Network for Instance Segmentation
Figure 4 for A^2-FPN: Attention Aggregation based Feature Pyramid Network for Instance Segmentation
* CVPR2021 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
<<
1
2
3
4
5
6
>>