I am currently a Ph.D. student in the Institute of Intelligent Media Computing at Fudan University, under the supervision of Prof. Yu-Gang Jiang and Prof. Xiangyang Xue. I was a research intern at Intel Labs China from July, 2016 to July, 2017, working with Dr. Jianguo Li. This fall I will join the IFP (Image Formation and Processing) group at the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign as a visiting scholar, advised by Prof. Thomas S. Huang.



School of Computer Science
Fudan University
Room 408, Computer Science Building, 825 Zhangheng Road
Email: zhiqiangshen13 AT fudan.edu.cn / zhiqiangshen0214 AT gmail.com
[Google Scholar] |  [Github]


Research Interest

My research focuses on the broad area of computer vision and machine learning. Specifically, I am interested in deep learning methods for object detection, fine-grained recognition, image/video captioning, etc. Recently, I focus on

  • Deep Learning, including designing and training high-efficiency network structure
  • Video Analysis, including detection, captioning, summarization and prediction
  • Image Understanding, including visual question answering, captioning, fine-grained recognition and detection
  • Weakly-supervised/Unsupervised Learning
  • Low-bit Networks

News

  • Code and models for DSOD are available at: Github.
  • Code and models for Network Slimming are available at: Github.
  • Two papers accepted to ICCV 2017.
  • Two papers submitted to ICCV 2017.
  • Our paper "Weakly Supervised Dense Video Captioning" accepted to CVPR 2017.
  • Our paper "Iterative Object and Part Transfer for Fine-Grained Recognition" accepted to ICME 2017 as an oral presentation.
  • During my internship, our team won the 2016 Intel China Award (ICA), the highest award for team achievement in Intel China.
  • 4th Place (Human Evaluation) and 5th Place (Automatic Evaluation Metrics) Winners at the MSR-VTT Challenge (Video Captioning). Code is coming soon.

Publications

Zhiqiang Shen*, Zhuang Liu*, Jianguo Li, Yu-Gang Jiang, Yurong Chen, Xiangyang Xue.
DSOD: Learning Deeply Supervised Object Detectors from Scratch
Proceedings of 16th IEEE International Conference on Computer Vision (ICCV2017).
(* indicates equal contribution)
Code & Models

Zhuang Liu, Jianguo Li, Zhiqiang Shen, Gao Huang, Shoumeng Yan, Changshui Zhang.
Learning Efficient Convolutional Networks through Network Slimming
Proceedings of 16th IEEE International Conference on Computer Vision (ICCV2017).
Code & Models

Zhiqiang Shen, Jianguo Li, Zhou Su, Minjun Li, Yurong Chen, Yu-Gang Jiang, Xiangyang Xue.
Weakly Supervised Dense Video Captioning
Proceedings of 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR2017).
Project Webpage

Zhiqiang Shen, Yu-Gang Jiang, Dequan Wang, Xiangyang Xue.
Iterative Object and Part Transfer for Fine-Grained Recognition
Proceedings of 18th IEEE Conference on Multimedia & Expo (ICME2017).
Oral Presentation

Dequan Wang, Zhiqiang Shen, Jie Shao, Wei Zhang, Xiangyang Xue, Zheng Zhang.
Multiple granularity descriptors for fine-grained categorization
Proceedings of 15th IEEE International Conference on Computer Vision (ICCV2015).

Dequan Wang, Tianjun Xiao, Zhiqiang Shen, Xiangyang Xue.
Learning Regions and Descriptors for Fine-grained Recognition
Proceedings of 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR2015 FGVC3 Workshop).

Competitions

  • MSR-VTT Challenge (video captioning): ranked 4th in human evaluation and ranked 5th in the automatic evaluation metrics (Team leader), 2016
  • Top 10% in Kaggle Competition of Right Whale Recognition, 2016
  • Second Prize in DataCastle Competition of the Verification Code Recognition, 2016
  • Second Prize (National-level) in China Graduate Student Mathematical Contest in Modeling, 2015
  • MCM/ICM -- Honorable Mention, 2012
  • First Prize (National-level) in Electrical Engineering Mathematical Contest in Modeling, 2012
  • First Prize (National-level) in China Undergraduate Mathematical Contest in Modeling, 2011

Awards and Honors

  • During my internship, our team won the 2016 Intel China Award (ICA), the highest award for team achievement in Intel China, 2016
  • Dongshi Named scholarship in Fudan University, 2015
  • Special Grade Scholarship, 2013
  • University-level Outstanding Students, 2013

Teaching Assistant

  • 2015.9- 2016.1, Fudan University, COMP120008.02, C++ language programming