Dingwen Zhang

Short Biography:

I am a Professor at BRAIN Lab, School of Automation, Northwestern Polytechnical University. I lead the Vision & Intelligence Group. I obtained my B.S. and Ph.D. degrees from School of Automation, Northwestern Polytechnical University (NWPU) in 2012 and 2018, respectively. My supervisor is Prof. Junwei Han. From Oct. 2015 to Oct. 2017, I worked with Prof. Fernando de la Torre as a visiting PHD student at the Human Sensing Laboratory in Carnegie Mellon University (CMU).

T-CSVT SI on Advanced Machine Learning Methodologies for Large-Scale Video Object Segmentation and Detection (Submission deadline: December 2020)

T-MM SI on Weakly Supervised Learning for Image and Video Understanding (Submission deadline: August 2021)

Talk at VLASE Online

PPT of the Talk at VLASE 2019 (code: ymud)

Research Interest:

I am mainly interested in developing effective computer vision algorithms that are inspired by the human vison and human learning procedure. Currently, I am working on developing weakly supervised learning systems for computer vision tasks like object detection, segmentation, 3D shape reconstruction. I also work on computational visual attention modeling and its application in computer vision tasks like remote sensing imagery analysis and video content analysis.

Recent News:

Organize forum at PRCV, Beijing
Organize workshop at ACM MM, Chengdu
Invited as a speaker at VALSE, Hangzhou
Invited as a speaker at ChinaMM, Chongqing
1 paper is accepted by IJCV.
1 paper is accepted by T-PAMI.
Appointed as SPC of IJCAI.
1 paper is accepted by NIPS.

Selected Publications (Full list at DBLP and Google Scholar )

Background-Click Supervision for Temporal Action Localization. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2022.
Weakly Supervised Object Localization and Detection: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2021.
Advanced Deep Learning Techniques for Salient and Category-Specific Object Detection: A Survey. IEEE Signal Processing Magazine (SPM), 2018.
Weakly supervised object detection using proposal-and semantic-level relationships. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2021.
Soda: Weakly supervised temporal action localization based on astute background response and self-distillation learning. International Journal of Computer Vision (IJCV), 2021.
Integrating Part-Object Relationship and Contrast for Camouflaged Object Detection. IEEE Transactions on Information Forensics and Security. (T-IFS), 2021.
Weakly-supervised learning of category-specific 3D object shapes. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2021.
Part-object relational visual saliency. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2021.
Strengthen Learning Tolerance for Weakly Supervised Object Localization. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
SPFTN: A joint learning framework for localizing and segmenting objects in weakly labeled videos. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2020.
Synthesizing Supervision for Learning Deep Saliency Network without Human Annotation. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2020.
Leveraging Prior-Knowledge for Weakly Supervised Object Detection Under a Collaborative Self-Paced Curriculum Learning Framework. International Journal of Computer Vision, (IJCV), 2019.
Co-Saliency Detection via a Self-Paced Multiple-Instance Learning Framework. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2017.
Scribble-Supervised Video Object Segmentation. IEEE/CAA Journal of Automatica Sinica , 2021.
Onfocus Detection: Identifying Individual-Camera Eye Contact from Unconstrained Images. SCIENCE CHINA Information Sciences, 2021.
Densely Nested Top-Down Flows for Salient Object Detection. SCIENCE CHINA Information Sciences, 2022.

Projects

Open project on [Weakly Supervised Semantic Segmentation]
Open project on [Weakly Supervised Action Localization]

	Title	Link
	Le Yang, Junwei Han, Tao Zhao, Tianwei Lin, Dingwen Zhang, Jianxin Chen: Background-Click Supervision for Temporal Action Localization. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2022.	[PaperLink][PaperLink_arxiv][Code]
	Dingwen Zhang, Bo Wang, Gerong Wang, Qiang Zhang, Jiajia Zhang, Jungong Han, Zheng You: Onfocus Detection: Identifying Individual-Camera Eye Contact from Unconstrained Images. SCIENCE CHINA Information Sciences, 2021.	[PaperLink][Dataset and Code]
	Chaowei Fang, Haibin Tian, Dingwen Zhang, Qiang Zhang, Jungong Han, Junwei Han: Densely Nested Top-Down Flows for Salient Object Detection. SCIENCE CHINA Information Sciences, 2021.	[PaperLink][PaperLink_arxiv] [Code]
	Le Yang, Houwen Peng, Dingwen Zhang, Jianlong Fu, Junwei Han: Revisiting Anchor Mechanisms for Temporal Action Localization. IEEE Transactions on Image Processing (T-IP), 2020.	[PaperLink][PaperLink_arxiv][Code]
	Dingwen Zhang, Junwei Han, Yu Zhang, Dong Xu: Synthesizing Supervision for Learning Deep Saliency Network without Human Annotation. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2020. Dingwen Zhang, Junwei Han, Yu Zhang: Supervision by Fusion: Towards Unsupervised Learning of Deep Salient Object Detector. IEEE International Conference on Computer Vision (ICCV), 2017.	[PaperLink][Code]
	Dingwen Zhang, Haibin Tian, Jungong Han: Few-Cost Salient Object Detection with Adversarial-Paced Learning. International Conference on Neural Information Processing Systems (NeurIPS), 2020.	[PaperLink_PR][Code]
	Dingwen Zhang, Guohai Huang, Qiang Zhang, Jungong Han, Junwei Han, Yizhou Yu: Deep Multi-Modality Feature Learning for Brain Tumor Segmentation. Pattern Recognition (PR), 2020. Dingwen Zhang, Guohai Huang, Qiang Zhang, Jungong Han, Junwei Han, Yizhou Wang, Yizhou Yu: Exploring Task Structure for Brain Tumor Segmentation from Multi-modality MR Images. IEEE Transactions on Image Processing (T-IP), 2020.	[PaperLink_PR] [PaperLink_TIP] [Code:tp6s]
	Dingwen Zhang, Junwei Han, Long Zhao, Duyu Meng: Leveraging Prior-Knowledge for Weakly Supervised Object Detection Under a Collaborative Self-Paced Curriculum Learning Framework. International Journal of Computer Vision, (IJCV), 2019. Dingwen Zhang, Deyu Meng, Long Zhao, Junwei Han: Bridging Saliency Detection to Weakly Supervised Object Detection Based on Self-paced Curriculum Learning. International Joint Conference on Artificial Intelligence (IJCAI), 2016.	[PaperLink][Models]
	Dingwen Zhang, Deyu Meng, Junwei Han: Co-Saliency Detection via a Self-Paced Multiple-Instance Learning Framework. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2017. Dingwen Zhang, Deyu Meng, Chao Li, Lu Jiang, Qian Zhao, Junwei Han: A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection. IEEE International Conference on Computer Vision (ICCV), 2015.	[Dataset] [Results] [Evaluation Metrics]
	Dingwen Zhang, Junwei Han, Chao Li, Jingdong Wang, Xuelong Li: Detection of Co-salient Objects by Looking Deep and Wide. International Journal of Computer Vision (IJCV), 2016. Dingwen Zhang, Junwei Han, Chao Li, Jingdong Wang: Co-saliency Detection via Looking Deep and Wide. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.	[Dataset] [Results]
	Junwei Han, Dingwen Zhang, Gong Cheng, Lei Guo, Jinchang Ren: Object Detection in Optical Remote Sensing Images Based on Weakly Supervised Learning and High-Level Feature Learning. IEEE Transactions on Geoscience and Remote Sensing (T-GRS), 2015. Dingwen Zhang, Junwei Han, Gong Cheng, Zhenbao Liu, Shuhui Bu, Lei Guo: Weakly Supervised Learning for Target Detection in Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters (GRSL), 2015.	[Dataset]

Awards and Scholarship:

2020: Excellent Doctoral Dissertation Award of Shaanxi Province
2020: NPU Outstanding Doctoral Dissertation Award
2019: ACM SIGAI Outstanding Doctor Award
2018: CSIG Outstanding Doctoral Dissertation Award
2017: The Innovative and Entrepreneurship Scholarship of the Chinese Ministry of Industry and Information Technology (The special prize)
2017: The postgraduate “Academic Star” of Northwestern Polytechnical University
2016: The Innovative and Entrepreneurship Scholarship of the Chinese Ministry of Industry and Information Technology (The first prize)
2016: “Bao Gang” Excellent Student Award
2016: The “postgraduate pacesetter” of Northwestern Polytechnical University
2016: The postgraduate “Academic Star” of Northwestern Polytechnical University
2016: National Scholarship (rank 1st out of 35 students)
2016: MSRA Fellowship Nomination Award
2016: Doctoral Consortium travel award of IJCAI
2015: National Scholarship (rank 1st out of 35 students)
2015: the Excellent Doctorate Foundation of Northwestern Polytechnical University
2014: the Doctorate Foundation of Northwestern Polytechnical University
2014: National Scholarship (rank 2nd out of 35 students)
2014: Outstanding prize for Graduate Students Entrepreneurial Seed Funding in Northwestern Polytechnical University
2013: National Scholarship (rank 3rd out of 263 students)
2012: Undergraduate thesis award in Shaanxi province (major of Automation)
2012: Excellent graduate student in the university (30 winners out of 317 students)
2011: Excellent Student in the university (top 10%)

Journal Reviewers:

IEEE Trans on Pattern Recognition and Machine Intelligence (T-PAMI); ACM Computing Survey; International Journal of Computer Vision (IJCV); IEEE Trans on Neural Networks and Learning Systems (T-NNLS); IEEE Trans on Circuits and Systems for Video Technology (T-CSVT); IEEE Trans on Image Processing (T-IP); IEEE Trans on Systems, Man, and Cybernetics: Systems (T-SMCA); IEEE Trans on Multimedia (T-MM); Computer Vision and Image Understanding (CVIU); IEEE Signal Processing Letters (SPL); IEEE Access; ELSEVIER Neurocomputing; ELSEVIER Signal Processing: Image Communication; ELSEVIER Computers and Graphics; ELSEVIER Automation in Construction; Springer Machine Vision and Applications; SPIE Journal of Electronic Imaging; IET Comptuer Vision, etc.

Conference Reviewers:

Neural Information Processing Systems (NIPS); AAAI Conference on Artificial Intelligence (AAAI); IEEE Conference on Computer Vision and Pattern Recognition (CVPR); IEEE Conference on Computer Vision (ICCV); Asian Conference on Computer Vision (ACCV)., etc.