Enze Xie's Homepage

Enze Xie (谢恩泽)

CV / GitHub / Google Scholar / Zhihu / Email: Johnny_ez@163.com | xieenze@hku.hk

I am a PhD student in Department of Computer Science, The University of Hong Kong (HKU) since 2019.10, supervised by Prof. Ping Luo and co-supervised by Prof. Wenping Wang. I also work very close with my friend Wenhai Wang and Prof. Chunhua Shen. I obtained B.S. from Nanjing University of Aeronautics and Astronautics (2016) and M.S. from TongJi University (2019). From 2018 to present, I collaborated with several researchers from industry e.g. Face++(Megvii), SenseTime, Facebook AI and Huawei Noah's Ark Lab.

My research interest is computer vision. I did some works about instance-level detection and self/semi/weak-supervised learning. I developed a few well-known computer vision algorithms including PolarMask, which was selected as `CVPR 2020 Top-10 Influential Papers'. I co-developed OpenSelfSup(1k+ star), a popular self-supervised learning framework.

Publications and Manuscripts

(* indicates equal contribution)

Conference

PolarMask: Single Shot Instance Segmentation with Polar Representation

Enze Xie*, Peize Sun*, Xiaoge Song*, Wenhai Wang, Ding Liang, Chunhua Shen, Ping Luo
CVPR 2020 (Oral) [arXiv] [code] [中文解读] [talk] [CVPR20 Top-10 Influential Papers]

Segmenting Transparent Objects in the Wild

Enze Xie, Wenjia Wang, Wenhai Wang, Mingyu Ding, Chunhua Shen, Ping Luo
ECCV2020 [arXiv] [code & dataset]

Scene Text Image Super-Resolution in the Wild

Wenjia Wang*, Enze Xie*, Xuebo Liu, Wenhai Wang, Ding Liang, Chunhua Shen, Xiang Bai
ECCV2020 [arXiv] [code & dataset]

Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation

Sheng Jin, Wentao Liu, Enze Xie, Wenhai Wang, Chen Qian, Wanli Ouyang, Ping Luo
ECCV2020 [arXiv]

AE TextSpotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting

Wenhai Wang, Xuebo Liu, Xiaozhong Ji, Enze Xie, Ding Liang, ZhiBo Yang, Tong Lu, Chunhua Shen, Ping Luo
ECCV2020 [arXiv] [Project Web]

Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network

Wenhai Wang*, Enze Xie*, Xiaoge Song, Yuhang Zang, Wenjia Wang, Tong Lu, Gang Yu, Chunhua Shen
ICCV 2019 [arXiv] [code]

Shape Robust Text Detection with Progressive Scale Expansion Network

Wenhai Wang*, Enze Xie*, Xiang Li, Wenbo Hou, Tong Lu, Gang Yu, Shuai Shao
CVPR 2019 [arXiv] [code]

Scene Text Detection with Supervised Pyramid Context Network

Enze Xie*, Yuhang Zang*, Shuai Shao, Gang Yu, Cong Yao, Guangyao Li
AAAI 2019 [arXiv]

Tech Report

Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions

Wenhai Wang, Enze Xie, Xiang Li, Deng-Ping Fan, Kaitao Song, Ding Liang, Tong Lu, Ping Luo, Ling Shao
Tech report, arXiv [arXiv] [code]

DetCo: Unsupervised Contrastive Learning for Object Detection

Enze Xie*, Jian Ding*, Wenhai Wang, Xiaohang Zhan, Hang Xu, Zhenguo Li, Ping Luo
Tech report, arXiv [arXiv] [code]

Trans2Seg: Transparent Object Segmentation with Transformer

Enze Xie, Wenjia Wang, Wenhai Wang, Peize Sun, Hang Xu, Ding Liang, Ping Luo
Tech report, arXiv [arXiv] [code]

TransTrack: Multiple-Object Tracking with Transformer

Peize Sun, Yi Jiang, Rufeng Zhang, Enze Xie, Jinkun Cao, Xinting Hu, Tao Kong, Zehuan Yuan, Changhu Wang, Ping Luo
Tech report, arXiv [arXiv] [code]

OneNet: Towards End-to-End One-Stage Object Detection

Peize Sun, Yi Jiang, Enze Xie, Zehuan Yuan, Changhu Wang, Ping Luo
Tech report, arXiv [arXiv] [code]

SelfText Beyond Polygon: Unconstrained Text Detection with Box Supervision and Dynamic Self-Training

Weijia Wu*, Enze Xie* , Ruimao Zhang, Wenhai Wang, Guan Pang, Zhen Li, Hong Zhou, Ping Luo
Tech report, arXiv [arXiv] [code]

1st Place Solutions for OpenImage2019--Object Detection and Instance Segmentation

Yu Liu, Guanglu Song, Yuhang Zang, Yan Gao, Enze Xie, Junjie Yan, Chen Change Loy, Xiaogang Wang
Tech report, arXiv [arXiv]

TextSR: Content-Aware Text Super-Resolution Guided by Recognition

Wenjia Wang*, Enze Xie*, Peize Sun, Wenhai Wang, Lixun Tian, Chunhua Shen, Ping Luo
Tech report, arXiv [arXiv] [code]
Improved version has been accepted by ECCV2020