I am currently a post-doctoral researcher in CyLabECE Department, CMU, advised by Prof. Marios Savvides. My research interests span computer vision, machine learning, deep learning, etc.

Prior to CMU, I was fortunate to be a joint-training Ph.D student (2017-2019) in UIUC/IFP group, advised by Prof. Thomas S. Huang.

I received my Ph.D from Fudan University working with Prof. Yu-Gang Jiang and Prof. Xiangyang Xue. I was a research intern at Intel Labs China and SenseTime Research, collaborating with Zhuang Liu, Jianguo Li, Yurong Chen (ILC, 2016-2017), Mingyang Huang, Jianping Shi (SenseTime Research).

Department of Electrical and Computer Engineering
Carnegie Mellon University
5000 Forbes Avenue, Pittsburgh, PA, 15213
Email: zhiqians AT andrew.cmu.edu / zhiqiangshen0214 AT gmail.com
shen54 AT illinois.edu / zhiqiangshen13 AT fudan.edu.cn
[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

  • Few-shot and zero-shot learning
  • 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

Publications

Zhiqiang Shen, Honghui Shi, Jiahui Yu, Hai Phan, Rogerio Feris, Liangliang Cao, Ding Liu, Xinchao Wang, Thomas Huang, Marios Savvides.
Improving Object Detection from Scratch via Gated Feature Reuse
30th British Machine Vision Conference (BMVC), 2019.

Zhiqiang Shen, Zhuang Liu, Jianguo Li, Yu-Gang Jiang, Yurong Chen, Xiangyang Xue.
Object Detection from Scratch with Deep Supervision
IEEE transactions on pattern analysis and machine intelligence (T-PAMI), 2019.
Code & Models  |  arXiv Paper

Zhiqiang Shen, Mingyang Huang, Jianping Shi, Xiangyang Xue, Thomas S. Huang.
Towards Instance-level Image-to-Image Translation
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
Project  |  Paper  |  Dataset

Zhiqiang Shen*, Zhankui He*, Xiangyang Xue.
MEAL: Multi-Model Ensemble via Adversarial Learning
33rd AAAI Conference on Artificial Intelligence (AAAI), 2019. (Oral Presentation)
Code & Models  |  Our ResNet-50 (Top-1/5: 21.70%/5.99%)   [PyTorch Model (102.5M)]

Wanyun Cui, Guangyu Zheng, Zhiqiang Shen, Sihang Jiang, Wei Wang.
Transfer Learning for Sequences via Learning to Collocate
International Conference on Learning Representations (ICLR), 2019.
OpenReview  |  arXiv Paper

Yunchao Wei, Zhiqiang Shen*, Bowen Cheng*, Honghui Shi, Jinjun Xiong, Jiashi Feng, Thomas Huang.
TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection
European Conference on Computer Vision (ECCV), 2018. (* indicates equal contribution)
arXiv Paper

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  |  Paper

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  |  Paper

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  |  Paper

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  |  Paper

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).

Academic Activities

  • Conference reviewer: ICCV 2019, CVPR 2019, AAAI 2019, CVPR 2018, ACCV 2018, NIPS 2016.
  • Journal reviewer: IJCV, TIP, TMM, JVCI.

Awards and Honors

  • CVPR 2019 Doctoral Consortium travel award. Mentor: Prof. Trevor Darrell.
  • ICLR 2019 travel award, 2019
  • AAAI 2019 student scholarship award, 2018
  • ICCV 2017 student volunteer, 2017
  • Huawei scholarship, 2017
  • During my internship, our team won the 2016 Intel China Award (ICA), the highest award for team achievement in Intel China, 2016
  • Tung OOCL scholarship, 2015
  • Special Grade Scholarship, 2013
  • University-level Outstanding Students, 2013

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

Teaching Assistant

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