1 code implementation • 25 Sep 2022 • Rui He, Zehua Fu, Qingjie Liu, Yunhong Wang, Xunxun Chen
In this paper, the duplicate detection is newly and precisely defined as occlusion misreporting on the same athlete by multiple detection boxes in one frame.
1 code implementation • 15 Sep 2022 • Ye Du, Yujun Shen, Haochen Wang, Jingjing Fei, Wei Li, Liwei Wu, Rui Zhao, Zehua Fu, Qingjie Liu
Self-training has shown great potential in semi-supervised learning.
1 code implementation • 8 May 2022 • Zhihong Fu, Zehua Fu, Qingjie Liu, Wenrui Cai, Yunhong Wang
In this paper, we relieve this issue with a sparse attention mechanism by focusing the most relevant information in the search regions, which enables a much accurate tracking.
no code implementations • 15 Dec 2021 • Xiangnan Yin, Di Huang, Zehua Fu, Yunhong Wang, Liming Chen
The proposed model consists of a 3D face reconstruction module, a face segmentation module, and an image generation module.
1 code implementation • CVPR 2022 • Ye Du, Zehua Fu, Qingjie Liu, Yunhong Wang
Moreover, armed with our method, we increase the segmentation mIoU of EPS from 70. 8% to 73. 6%, achieving new state-of-the-art.
Ranked #3 on Weakly-Supervised Semantic Segmentation on PASCAL VOC 2012 test (using extra training data)
Weakly supervised Semantic Segmentation Weakly-Supervised Semantic Segmentation
no code implementations • 14 Jun 2021 • Xiangnan Yin, Di Huang, Hongyu Yang, Zehua Fu, Yunhong Wang, Liming Chen
The existing auto-encoder based face pose editing methods primarily focus on modeling the identity preserving ability during pose synthesis, but are less able to preserve the image style properly, which refers to the color, brightness, saturation, etc.
no code implementations • 14 Jun 2021 • Xiangnan Yin, Di Huang, Zehua Fu, Yunhong Wang, Liming Chen
Missing textures in the incomplete UV map are further full-filled by the UV generator.
1 code implementation • 10 May 2021 • Ye Du, Zehua Fu, Qingjie Liu, Yunhong Wang
In this paper, we propose a transformer based approach for visual grounding.
1 code implementation • CVPR 2021 • Zhihong Fu, Qingjie Liu, Zehua Fu, Yunhong Wang
Boosting performance of the offline trained siamese trackers is getting harder nowadays since the fixed information of the template cropped from the first frame has been almost thoroughly mined, but they are poorly capable of resisting target appearance changes.
Ranked #1 on Visual Object Tracking on OTB-2015
no code implementations • 11 Sep 2020 • Jingchao Liu, Ye Du, Zehua Fu, Qingjie Liu, Yunhong Wang
Experiments on standard datasets shows our ARM can bring consistent improvements for both coarse annotations and fine annotations.