Shiliang Zhang
Assistant Professor
School of Electronics Engineering and Computer Science, Peking University
Address: Room 2613 No.2 Science Building, Peking University, Beijing, China
Email: slzhang.jdl at pku.edu.cn
 
 

Brief Bio: Shiliang Zhang is leading the Media and Vision Computing Group at Institute of Digital Media, Peking University. He received the Ph.D. degree from Institute of Computing Technology, Chinese Academy of Sciences in 2012 with honors. After that, he was a Postdoctoral Fellow in University of Texas at San Antonio and a Postdoctoral Scientist in NEC Labs America, Cupertino, CA.

In early 2015, he joined the school of Electronic Engineering and Computer Science, Peking University as a Tenure Track Assistant Professor and Ph.D. Advisor. His research interests include large-scale image retrieval, computer vision for autonomous driving, and deep learning for image understanding.

Internship and Graduate Students (both Ph.D. and Master) Opening: I am looking for self-motivated candidates who have solid mathematical backgrounds, strong English ability, and strong coding skills. If you are interested in doing research on Computer Vision and Multimedia, and want to apply your algorithms to real problems like Internet image search, autonomous driving, please send detailed CV to me.


Research Highlight

Person and vehicle ReID

Fine-grained visual categorization

Large-scale image search

Scene Understanding


Recent Publications (complete list...)
  • J. Li, S. Zhang, and T. Huang. Multi-scale 3D Convolution Network for Video Based Person Re-Identification, AAAI, 2019.
  • L. Wei, S. Zhang, H. Yao, W. Gao, and Q. Tian. GLAD: Global-Local-Alignment Descriptor for Scalable Person Re-Identification, IEEE T-MM, 2018.
  • L. Lan, X. Wang, S. Zhang, D. Tao, W. Gao, and T. Huang. Interacting Tracklets for Multi-object Tracking, IEEE T-IP, 2018.
  • L. Wei, S. Zhang, W. Gao, and Q. Tian. Person Transfer GAN to Bridge Domain Gap for Person Re-Identification, Spotlight at CVPR, 2018.
  • X. Liu, S. Zhang, Q. Huang, and W. Gao. RAM: A Region-Aware Deep Model for Vehicle Re-Identification. IEEE ICME, 2018.
  • C. Su, F. Yang, S. Zhang, Q. Tian, L. S. Davis, and W. Gao. Multi-Task learning with low rank attribute embedding for multi-camera person re-identification. IEEE T-PAMI, 2018.
  • S. Zhang, S. Zhang, T. Huang, W. Gao, and Q. Tian. Learning affective features with a hybrid deep model for audio-visual emotion recognition. IEEE T-CSVT, 2018.
  • S. Zhang, S. Zhang, T. Huang, and W. Gao. Speech emotion recognition using deep convolutional neural network and discriminant temporal pyramid matching. IEEE T-MM, 2018.
  • H. Yao, S. Zhang, Y. Zhang, J. Li, and Q. Tian. AutoBD: Automated Bi-level Description for scalable fine-grained visual categorization. IEEE T-IP, 2018.
  • C. Su, S. Zhang, J. Xing, Q. Tian, and W. Gao. Multi-type attributes driven multi-camera person re-identification, Pattern Recognition, 2018.
  • C. Su, S. Zhang, Y. Fan, G. Zhang, Q. Tian, W. Gao, and L. S Davis. Attributes driven tracklet -to-tracklet person re-identification using latent prototypes space mapping. Pattern Recognition, 2017.
  • C. Su, J. Li, S. Zhang, J. Xing, W. Gao, and Q. Tian. Pose-driven Deep Convolutional Model for Person Re-identification. ICCV, 2017.
  • L. Wei, S. Zhang, H. Yao, W. Gao, and Q. Tian. GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval. ACM MM, 2017.
  • H. Yao, S. Zhang, Y. Zhang, Q. Tian. One-Shot Fine-Grained Instance Retrieval. ACM MM, 2017.

News
  • 2018. 11, one paper on video person reid "Multi-scale 3D Convolution Network for Video Based Person Re-Identification" accepted by AAAI 2019, Congratulations to all! We will release the code soon!
  • 2018. 8, a more complete version of GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval is accepted by IEEE T-MM, Congratulations to all!
  • 2018. 6, As one of the 12 research groups worldwild, our team received the Nvidia Pioneering Research Award at CVPR2018, Congratulations to all!
  • 2018. 5, one paper on multi-object tracking was accepted by IEEE T-IP, Congratulations to all!
  • 2018. 5, the slides of our FG 2018 tutorial Person Re-Identification: Recent Advances and Challenges have been uploaded to this link: link.
  • 2018. 4, the code of Person Transfer GAN (PTGAN) proposed in our CVPR'18 paper has been released, link.
  • 2018. 4, one demo paper accepted by ICMR 2018. We will show a person and vehicle Re-ID system at ICMR 2018!
  • 2018. 4, one paper on vehicle Re-Identification accepted by ICME 2018
  • 2018. 3, one paper on person Re-Identification was accepted as Spotlight paper by CVPR 2018. The dataset can be downloaded from the link.
  • 2018. 2, we are organizing a tutorial on FG2018: Person Re-Identification: Recent Advances and Challenges. Welcome and see you in Xi’an!
  • 2018. 2, one paper on video emotion recognition accepted by IEEE T-MM Congratulations to all!
  • 2018. 1, the code of our ACM MM17 paper: GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval is released, link.
  • 2018. 1, the dataset of our ACM MM17 paper: One-Shot Fine-Grained Instance Retrieval is released, link.
  • 2018. 1, one paper on Fine-grained visual categorization was accepted by T-IP, Congratulations to all!
  • 2018. 1, one paper on attribute based person Re-Identification was accepted by T-PAMI, Congratulations to all!

Sponsors
 
 
Updated 05/2018