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 Xingang Wang

Xingang Wang

MVSTER: Epipolar Transformer for Efficient Multi-View Stereo



Xiaofeng Wang , Zheng Zhu , Fangbo Qin , Yun Ye , Guan Huang , Xu Chi , Yijia He , Xingang Wang

Figure 1 for MVSTER: Epipolar Transformer for Efficient Multi-View Stereo
Figure 2 for MVSTER: Epipolar Transformer for Efficient Multi-View Stereo
Figure 3 for MVSTER: Epipolar Transformer for Efficient Multi-View Stereo
Figure 4 for MVSTER: Epipolar Transformer for Efficient Multi-View Stereo
* Code: https://github.com/JeffWang987/MVSTER 
   Access Paper or Ask Questions

HFT: Lifting Perspective Representations via Hybrid Feature Transformation



Jiayu Zou , Junrui Xiao , Zheng Zhu , Junjie Huang , Guan Huang , Dalong Du , Xingang Wang

Figure 1 for HFT: Lifting Perspective Representations via Hybrid Feature Transformation
Figure 2 for HFT: Lifting Perspective Representations via Hybrid Feature Transformation
Figure 3 for HFT: Lifting Perspective Representations via Hybrid Feature Transformation
Figure 4 for HFT: Lifting Perspective Representations via Hybrid Feature Transformation

   Access Paper or Ask Questions

Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation



Jie Qin , Jie Wu , Xuefeng Xiao , Lujun Li , Xingang Wang

Figure 1 for Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation
Figure 2 for Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation
Figure 3 for Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation
Figure 4 for Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation
* Accepted by AAAI2022 
   Access Paper or Ask Questions

Learning Hamiltonian dynamics by reservoir computer



Han Zhang , Huawei Fan , Liang Wang , Xingang Wang

Figure 1 for Learning Hamiltonian dynamics by reservoir computer
Figure 2 for Learning Hamiltonian dynamics by reservoir computer
Figure 3 for Learning Hamiltonian dynamics by reservoir computer
Figure 4 for Learning Hamiltonian dynamics by reservoir computer
* 11 pages, 7 figures 
   Access Paper or Ask Questions

Anticipating synchronization with machine learning



Huawei Fan , Ling-Wei Kong , Ying-Cheng Lai , Xingang Wang

Figure 1 for Anticipating synchronization with machine learning
Figure 2 for Anticipating synchronization with machine learning
Figure 3 for Anticipating synchronization with machine learning
Figure 4 for Anticipating synchronization with machine learning
* 13 pages; 12 figures 
   Access Paper or Ask Questions

ResizeMix: Mixing Data with Preserved Object Information and True Labels



Jie Qin , Jiemin Fang , Qian Zhang , Wenyu Liu , Xingang Wang , Xinggang Wang

Figure 1 for ResizeMix: Mixing Data with Preserved Object Information and True Labels
Figure 2 for ResizeMix: Mixing Data with Preserved Object Information and True Labels
Figure 3 for ResizeMix: Mixing Data with Preserved Object Information and True Labels
Figure 4 for ResizeMix: Mixing Data with Preserved Object Information and True Labels

   Access Paper or Ask Questions

Transfer learning of chaotic systems



Yali Guo , Han Zhang , Liang Wang , Huawei Fan , Xingang Wang

Figure 1 for Transfer learning of chaotic systems
Figure 2 for Transfer learning of chaotic systems
Figure 3 for Transfer learning of chaotic systems
Figure 4 for Transfer learning of chaotic systems
* 20 pages, 8 figures 
   Access Paper or Ask Questions

Learning Dynamic Routing for Semantic Segmentation



Yanwei Li , Lin Song , Yukang Chen , Zeming Li , Xiangyu Zhang , Xingang Wang , Jian Sun

Figure 1 for Learning Dynamic Routing for Semantic Segmentation
Figure 2 for Learning Dynamic Routing for Semantic Segmentation
Figure 3 for Learning Dynamic Routing for Semantic Segmentation
Figure 4 for Learning Dynamic Routing for Semantic Segmentation
* Accepted by CVPR 2020 as Oral 
   Access Paper or Ask Questions

Long-term prediction of chaotic systems with recurrent neural networks



Huawei Fan , Junjie Jiang , Chun Zhang , Xingang Wang , Ying-Cheng Lai

Figure 1 for Long-term prediction of chaotic systems with recurrent neural networks
Figure 2 for Long-term prediction of chaotic systems with recurrent neural networks
Figure 3 for Long-term prediction of chaotic systems with recurrent neural networks
Figure 4 for Long-term prediction of chaotic systems with recurrent neural networks
* 10 pages, 8 figures 
   Access Paper or Ask Questions

Directional Deep Embedding and Appearance Learning for Fast Video Object Segmentation



Yingjie Yin , De Xu , Xingang Wang , Lei Zhang

Figure 1 for Directional Deep Embedding and Appearance Learning for Fast Video Object Segmentation
Figure 2 for Directional Deep Embedding and Appearance Learning for Fast Video Object Segmentation
Figure 3 for Directional Deep Embedding and Appearance Learning for Fast Video Object Segmentation
Figure 4 for Directional Deep Embedding and Appearance Learning for Fast Video Object Segmentation

   Access Paper or Ask Questions
1
2
>>