Bio

I received B.S. and M.S. degrees from School of Electronic Information and Communications, Huazhong University of Science and Technology in 2017 and 2020, advised by Prof. Yongchao Xu. I am currently working in Meituan Autonomous Delivery (MAD). My research interests include scene text detection, symmetry detection, semantic segmentation and autonomous driving.

Publications

2020

DeepFlux for skeleton detection in the wild
Yongchao Xu, Yukang Wang, Stavros Tsogkas, Jianqiang Wan, Xiang Bai, Sven Dickinson, Kaleem Siddiqi
International Journal of Computer Vision (IJCV), 2020.

Affinity space adaptation for semantic segmentation across domains
Wei Zhou, Yukang Wang, Jiajia Chu, Jiehua Yang, Xiang Bai, Yongchao Xu
IEEE Transactions on Image Processing (TIP), 2020.
[paper] [code]

Intra-class feature variation distillation for semantic segmentation
Yukang Wang, Wei Zhou, Tao Jiang, Xiang Bai, Yongchao Xu
Proceedings of the European Conference on Computer Vision (ECCV), 2020.
[paper] [code]

Learning directional feature maps for cardiac mri segmentation
Feng Cheng*, Cheng Chen*, Yukang Wang, Heshui Shi, Yukun Cao, Dandan Tu, Changzheng Zhang, Yongchao Xu
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020.
[paper] [code]

Gliding vertex on the horizontal bounding box for multi-oriented object detection
Yongchao Xu, Mingtao Fu, Qimeng Wang, Yukang Wang, Kai Chen, Gui-Song Xia, Xiang Bai
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
[paper] [code]

2019

Object-based spatial similarity for semi-supervised video object segmentation
Bofei Wang, Chengjian Zheng, Ning Wang, Shunfei Wang, Xiaofeng Zhang, Shaoli Liu, Si Gao, Kaidi Lu, Diankai Zhang, Lin Shen, Yukang Wang, Yongchao Xu
CVPR Workshops, 2019. Ranked 1st place in DAVIS 2019 Semi-supervised Video Object Segmentation Challenge.
[paper]

Deepflux for skeletons in the wild
Yukang Wang, Yongchao Xu, Stavros Tsogkas, Xiang Bai, Sven Dickinson, Kaleem Siddiqi
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
[paper] [code]

Textfield: Learning a deep direction field for irregular scene text detection
Yongchao Xu, Yukang Wang, Wei Zhou, Yongpan Wang, Zhibo Yang, Xiang Bai
IEEE Transactions on Image Processing (TIP), 2019.
[paper] [code]

Professional Activities

  • Conference Reviewer: CVPR, ICIP, ICDAR
  • Journal Reviewer: TMM, SPL, IEEE Access
  • CVPR 2019 Workshop talk: “Object-based Spatial Similarity for Semi-supervised VOS”
  • VALSE 2019 talk: “Flux Representation in Deep Neural Networks”

Honors & Awards

  • National Scholarship, Ministry of Education of P.R. ChinaOct 2019
  • Champion, DAVIS Video Object Segmentation Challenge June 2019
  • Outstanding Bachelor Graduation Thesis, HUSTJune 2017
  • Third Class Prize, “TI Cup” Competition, HUSTOct 2016