Xiang Wang

Xiang Wang (汪翔)

Researcher, Tencent
thuwangxiang10 [at] gmail [dot] com
Google Scholar

Experience

My research interests lie in computer vision and machine learning, with particular interests in salient object detection, semantic segmentation and weakly-supervised learning.
2014.09 - 2019.07, Ph.D., Department of Electronic Engineering, Tsinghua University, under the supervision of Prof. Huimin Ma.
2018.01 - 2018.07, visiting Vision and Learning Lab at University of California, Merced, under the supervision of Prof. Ming-Hsuan Yang.
2010.09 - 2014.07, B.Eng, Department of Electronic Engineering, Tsinghua University.

Selected Publications [full list]

Weakly-Supervised Semantic Segmentation by Iterative Affinity Learning

Xiang Wang, Sifei Liu, Huimin Ma, Ming-Hsuan Yang

International Journal of Computer Vision (IJCV), 2020

Paper Bibtex

@ARTICLE{wang2020weakly, 
author={Wang, Xiang and Liu, Sifei and Ma, Huimin and Yang, Ming-Hsuan}, 
journal={International Journal of Computer Vision}, 
title={Weakly-Supervised Semantic Segmentation by Iterative Affinity Learning}, 
year={2020}
}

Deep Clustering for Weakly-Supervised Semantic Segmentation in Autonomous Driving Scenes

Xiang Wang, Huimin Ma, Shaodi You

Neurocomputing, 2020

Paper Bibtex

@ARTICLE{wang2020deep, 
author={Wang, Xiang and Ma, Huimin and You, Shaodi}, 
journal={Neurocomputing}, 
title={Deep Clustering for Weakly-Supervised Semantic Segmentation in Autonomous Driving Scenes}, 
year={2020}, 
volume={381}, 
number={1}, 
pages={20--28}, 
}

Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features

Xiang Wang, Shaodi You, Xi Li, Huimin Ma

International Conference on Computer Vision and Pattern Recognition

CVPR 2018

Paper Project Page Bibtex Results: Google Drive or BaiduYun

@inproceedings{wang2018weakly, 
author={Wang, Xiang and You, Shaodi and Li, Xi and Ma, Huimin}, 
booktitle={IEEE CVPR}, 
title={Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features}, 
year={2018},
pages={1354--1362},
}

Edge Preserving and Multi-Scale Contextual Neural Network for Salient Object Detection

Xiang Wang, Huimin Ma, Xiaozhi Chen, Shaodi You

IEEE Transactions on Image Processing (TIP), 2018

Paper Bibtex Project Page Results: Google Drive or BaiduYun

@ARTICLE{wang2018edge, 
author={Wang, Xiang and Ma, Huimin and Chen, Xiaozhi and You, Shaodi}, 
journal={IEEE Transactions on Image Processing}, 
title={Edge Preserving and Multi-Scale Contextual Neural Network for Salient Object Detection}, 
year={2018}, 
volume={27}, 
number={1}, 
pages={121--134}, 
}

Traffic Light Recognition for Complex Scene With Fusion Detections

Xi Li, Huimin Ma, Xiang Wang, Xiaoqin Zhang

IEEE Transactions on Intelligent Transportation Systems (ITS), 2018

Paper Bibtex

@ARTICLE{Li2018Traffic, 
author={Li, Xi and Ma, Huimin and Wang, Xiang and Zhang, Xiaoqin}, 
journal={IEEE Transactions on Intelligent Transportation Systems}, 
title={Traffic Light Recognition for Complex Scene With Fusion Detections}, 
year={2018}, 
}

Salient Object Detection via fast R-CNN and Low-level Cues

Xiang Wang, Huimin Ma, Xiaozhi Chen

International Conference on Image Processing

ICIP 2016 (Oral, Acceptance Rate ~ 15%)

Paper Bibtex Project Page Results: Google Drive or BaiduYun

@inproceedings{wang2016salient, 
author={Wang, Xiang and Ma, Huimin and Chen, Xiaozhi}, 
booktitle={2016 IEEE International Conference on Image Processing (ICIP)}, 
title={Salient object detection via fast R-CNN and low-level cues}, 
year={2016}, 
pages={1042--1046}, 
doi={10.1109/ICIP.2016.7532516}, 
}

Geodesic Weighted Bayesian Model for Saliency Optimization

Xiang Wang, Huimin Ma, Xiaozhi Chen

Pattern Recognition Letters (PRL), 2016

Paper Bibtex Project Page Code

It is an extended version of our ICIP'15 paper

@article{wang2016geodesic,
  title={Geodesic Weighted Bayesian Model for Saliency Optimization},
  author={Wang, Xiang and Ma, Huimin and Chen, Xiaozhi},
  journal={Pattern Recognition Letters},
  volume={75},
  pages={1--8},
  year={2016},
  publisher={Elsevier}
}

Geodesic Weighted Bayesian Model for Salient Object Detection

Xiang Wang, Huimin Ma, Xiaozhi Chen

International Conference on Image Processing

ICIP 2015 (Oral, Acceptance Rate ~ 15%)

Paper Project Page Bibtex Code

@inproceedings{icip15gwb,
  author    = {Wang, Xiang and Ma, Huimin and Chen, Xiaozhi},
  title     = {Geodesic Weighted {B}ayesian Model for Salient Object Detection},
  booktitle = {IEEE ICIP},
  year      = {2015},
  pages	    = {397--401},
  doi	    = {10.1109/ICIP.2015.7350828}
}

Improving Object Proposals with Multi-Thresholding Straddling Expansion

Xiaozhi Chen, Huimin Ma, Xiang Wang, Zhichen Zhao

International Conference on Computer Vision and Pattern Recognition (CVPR), 2015

Paper Project Page Bibtex

@inproceedings{cvpr15mtse,
  author    = {Chen, Xiaozhi and Ma, Huimin and Wang, Xiang and Zhao, Zhichen},
  title     = {Improving Object Proposals with Multi-Thresholding Straddling Expansion},
  booktitle = {IEEE CVPR},
  year      = {2015},
}

Boundary-Aware Box Refinement for Object Proposal Generation

Xiaozhi Chen, Huimin Ma, Chenzhuo Zhu, Xiang Wang, Zhichen Zhao

Neurocomputing, 2017

Paper Bibtex

@article{neurocomputing17chen,
  title={Boundary-Aware Box Refinement for Object Proposal Generation},
  author={Chen, Xiaozhi and Ma, Huimin and Zhu, Chenzhuo and Wang, Xiang and Zhao, Zhichen},
  journal={Neurocomputing},
  year={2017}}

Awards

Outstanding Doctoral Dissertation Award, China Society of Image and Graphics (CSIG), 2021
Outstanding Ph.D. Graduate, Beijing Education Commission, 2019
National Scholarship for Ph.D. Students, Ministry of Education of China, 2018
Outstanding Graduate, Tsinghua University, 2014

Reviewer

IEEE TIP, IEEE TMM, MTAP
CVPR 2019/2020/2021/2022, ICCV 2019, ICIP 2019, AAAI 2020/2021/2022, ECCV 2020, ACCV 2020, WACV 2021, ICLR 2022

Patents

基于迭代挖掘物体共同特征的弱监督图像语义分割方法，ZL201810594322.1