Xiaofang Wang

About Me

Hey! I am currently a Post-doc at University of reims and Inria rennes, working on 3D human performance capture. I am passionate about cutting-edges avances and apply them on real-life.

Research Interest: My research interests focus on 2D/3D image/video understanding with machine learning and deep learning.

Education: During My PhD studies, I worked on the unsupervised image segmentation and multiple objects tracking with Prof. Simon Masnou and Prof. Liming Chen. I completed my M.E. and B.S. majored in Biomedical Engineering in School of Geosciences and Info-physics from Central South University, Changsha, China. I was working on the medical image processing, liver CT image segmentation with Prof. Yuqian Zhao

News

04/05, 2020: After a wonderful journey in Siradel, I am glad to join University of Reims and Inria Rennes as Post-doc
25/12, 2019: I am happy to get invited by Jiang su University Forum for High-level Overseas Talents
9/12, 2019: Journal paper is accepted: Discriminative and geometry aware unsupervised domain adaptation.
IEEE Transactions on Cybernetics (TCYB), Link
23/05, 2019: I was attending Conference JURSE
.

April 05, 2019: I was invited to give a seminar in the team OBELIX of IRISA/INRIA present a seminar in University of Bretagne Sud, Here is the topc [link]
Mar, 2019: Our paper submitted to CVPR 2019 is accepted
Feb, 2019: I will present a seminar in Ecole des Mines de Nancy
Feb, 2019: A paper submitted to CVPR 2019 recieves positive feedback
JAN, 2019: I am happy to anounce that I will start as a Research Engineer at the SIRADEL Rennes wtih from Jan 1st!
April, 2018: I am happy to anounce that I will start as a Engineer-Postdoc at the Inria Rennes wtih RAINBOW team on April 1st!
April, 2018: I have submitted a paper to IEEE International Conference on Development and Learning and on Epigenetic Robotics, 2018
Nov, 2017: Our paper on object detection submited to T-PAMI has been accepted.
July. 2017 : I have submited a paper entitles "Robust Data Geometric Structure Aligned Close yet Discriminative Domain Adaptation" [link].
Jun. 1, 2017: I have submited a paper entitled "Close Yet Distinctive Domain Adaptation" [link].
Apr., 2017: Invited presentation by Prof. Thierry Artières to seminar in Ecole Centrale de Marseille, éQuipe AppRentissage et MultimediA (QARMA) .
May. 27, 2016: Invited presentation in GDR_ISIS.
Apr. 30, 2016: 1 paper accepted by Pattern Recognition.
Jan. 1, 2015: 1 paper accepted by TIP.
Dec. 8, 2014: Our paper received Top 10% paper award at ICIP 2014.

Developped Tools

 

Aerial image high-resolution segmentation

After joining Siradel, I am developping a tool based on deep learning for aeriel image semantic segmentation. Here shows a nice result on the segmentation of high vegetation

Efficient Video Object Detection and Tracking Tool

By Xiaofang WANG

After trying several existing video annotation tools, I have developed an efficient video annotation tool for extreme-density crowd study. The proposed tool makes it easy to build massive, affordable video data sets.
Here show a video by human-annotated (myself) video in a given region (in blue). This video is generated by an efficient video annotation tool.

Here illustrates the trace of the annotation    

Conference Papers

Point in, Box out: Beyond Counting Persons in Crowds. yuting liu, Miaojing Shi, Qijun Zhao, Xiaofang Wang IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'2019) Link

  

Developmental Bayesian Optimization of Black-Box with Visual Similarity-Based Transfer Learning. Maxime Petit, Amaury Depierre, Xiaofang Wang, Emmanuel Dellandrea, and Liming Chen. IEEE International Conference on Development and Learning (ICDL) and the International Conference on Epigenetic Robotics (EpiRob), 2018, Tokyo. PDF .

  

Fusing Generic Objectness and Deformable Part-based Models for Weakly Supervised Object Detection Yuxing Tang, Xiaofang Wang, Emmanuel Dellandréa, Simon Masnou, Liming Chen IEEE International Conference on Image Processing (ICIP), Paris, 2014. (Top 10%) [pdf]

  

A graph-cut approach to image segmentation using an affinity graph based on ℓ0-sparse representation of features Xiaofang Wang and Huibin Li and Charles-edmond Bichot and, Simon Masnou, Liming Chen IEEE International Conference on Image Processing (ICIP), 2013. (Top 10%) [pdf]

  

Graph-based image segmentation using weighted color patch Xiaofang Wang, Chao Zhu, Charles-edmond Bichot, Simon Masnou IEEE International Conference on Image Processing (ICIP), 2013. [pdf]

  

Sparse Coding and Mid-Level Superpixel-Feature for ℓ0-Graph Based Unsupervised Image Segmentation Xiaofang Wang , Huibin Li, Simon Masnou, Liming Chen Computer Analysis of Images and Patterns. Springer Berlin Heidelberg (CAIP), 2013. [PDF]

  

An improved non-local cost aggregation method for stereo matching based on color and boundary cue Dongming Chen, Mohsen Ardabilian, Xiaofang Wang, Liming Chen IEEE International Conference on Multimedia and Expo (ICME), 2013. [PDF]

  

Jounal Papers

 

Discriminative and geometry aware unsupervised domain adaptation. Lingkun Luo, Liming Chen, Shiqiang Hu, Ying Lu, Xiaofang Wang Submitted to IEEE Transactions on Cybernetics (TCYB), Link Accepted

  

A Unified Framework for Interactive Image Segmentation via Fisher Rules. Lingkun Luo, Xiaofang Wang, Shiqiang Hu, Xing Hu, Huanlong Zhang,Yaohua Liu The Visual Computing, 2018 Link .

  

Visual and Semantic Knowledge Transfer for Large Scale Semi-Supervised Object Detection Yuxing Tang, Josiah Wang, Xiaofang Wang, Boyang Gao, Emmanuel Dellandrea,and Liming Chen. IEEE transactions on pattern analysis and machine intelligence (T-PAMI), 2018, vol. 40, no 12, p. 3045-3058. Link .

 

Interactive image segmentation based on samples reconstruction and FLDA. Lingkun Luo, Xiaofang Wang, Shiqiang Hu, Xin Hu, Liming Chen Journal of Visual Communication and Image Representation 43 (2017): 138-151. Link

  

Active Colloids Segmentation and Tracking Xiaofang Wang , Boyang Gao, Simon Masnou, Liming Chen, Isaac Theurkauff, Cécile Cottin-Bizonne, Yuqian Zhao, Frank Shih Pattern Recognition(PR) vol.60, pp. 177-188,2016 [link] [PDF]

  

Weakly Supervised Learning of Deformable Part-Based Models for Object Detection via Region Proposals Yuxing Tang, Xiaofang Wang, Emmanuel Dellandréa, Liming Chen IEEE Transactions on Multimedia, Institute of Electrical and Electronics Engineers (TMM),vol.19(2), pp. 393-407,2016 [pdf]

  

A Global/Local Affinity Graph for Image Segmentation Xiaofang Wang, Yuxing Tang, Simon Masnou, Liming Chen IEEE Transactions on Image Processing (TIP), vol. 24(4), pp.1399-1411, 2015 [link] [code]

  

Retinal vessels segmentation based on level set and region growing Yu Qian Zhao and Xiao Hong Wang and Xiaofang Wang, and Frank Y Shih. Pattern Recognition(PR) vol.47(7), pp. 2437-2446,2014 [PDF]

  

Level-set Mehod Based On Global and Local Regions For Image Segmentation Yuqian Zhao, Xiaofang Wang, Frank Y.Shih, Gang Yu International Journal of Pattern Recognition and Artificial Intelligence, vol. 26(01), 2013. [PDF]

  

arXiv Papers

Robust Data Geometric Structure Aligned Close yet Discriminative Domain Adaptation [link]
Lingkun Luo, Xiaofang Wang, Shiqiang Hu, Liming Chen
Sumitted, Under revision

Close Yet Distinctive Domain Adaptation
Lingkun Luo, Xiaofang Wang, Shiqiang Hu, Chao Wang, Yuxing Tang, Liming Chen
Project, PDF . Submitted, Under revision

Teaching

INF-TC1: Introduction to algorithms (1st year Ecole Centrale de Lyon, TD/TP, 84h), Fall 2015 and Spring 2016.

INF-TC2: Object-oriented programming (1st year Ecole Centrale de Lyon, TD/TP, 63h), Fall 2015 and Spring 2016.

INF-TC3: Web and Database Project (1st year Ecole Centrale de Lyon, TD/TP, 32h), Fall 2015 and Spring 2016.

Review

IEEE Transactions on Image Processing [LINK]
IEEE Transactions on Knowledge and Data Engineering [LINK]
Pattern Recognition
ACM 2019

Hobby

Blog

French learning notes [LINK]