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.

VMC组招收2020年入学博士生(考试),请感兴趣的同学邮件联系.


Research Highlight

Person and vehicle ReID

Fine-grained visual categorization

Large-scale image search

Scene Understanding


News
  • 2019. 07, one paper on video representation learning accepted by ICCV'19. Congratulations to Jianing! Paper and code will be released soon!
  • 2019. 07, Longhui and Jianzhong have got their master degree! Congratulations to them and wish they have a great future!
  • 2019. 06, one paper on person Re-Identification accepted by IEEE T-PAMI. Congratulations to Jianing for his first journal paper! Paper and code will be released soon!
  • 2019. 05, one paper on person Re-Identification accepted by IJCAI'19. Congratulations to Shunan for his first paper! Paper, code and dataset have been released.
  • 2019. 04, we will show our EAGER (Edge-Aided imaGe undERstanding) system at ACM ICMR'19! EAGER is based on our CVPR'19 paper
  • 2019. 03, one paper on edge detection was accepted by CVPR'19. Please check the arxiv version link. We will release the code soon!
  • 2019. 02, the code and model of our CDbin descriptor has been released. Please download and try this 256-bit local descriptor link.
  • 2019. 01, our paper CDbin: Compact Discriminative Binary Descriptor Learned with Efficient Neural Network accepted by IEEE T-CSVT, Congratulations to Jianming for his first paper! We will release the code soon!
  • 2018. 12, our paper Deep RepresentationLearning with Part Loss for Person Re-Identification accepted by IEEE T-IP, Congratulations to all!
  • 2018. 11, the code of Multi-Scale 3D Convolution Network proposed in our AAAI'19 paper has been released, link.
  • 2018. 11, one paper on video person reid "Multi-scale 3D Convolution Network for Video Based Person Re-Identification" accepted by AAAI'19, Congratulations to all! We will release the code soon!
  • 2018. 08, a more complete version of GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval is accepted by IEEE T-MM, Congratulations to all!
  • 2018. 06, as one of the 12 research groups worldwild, our team received the Nvidia Pioneering Research Award at CVPR'18, Congratulations to all!
  • 2018. 05, one paper on multi-object tracking was accepted by IEEE T-IP, Congratulations to all!
  • 2018. 05, the slides of our FG 2018 tutorial Person Re-Identification: Recent Advances and Challenges have been uploaded to this link: link.
  • 2018. 04, the code of Person Transfer GAN (PTGAN) proposed in our CVPR'18 paper has been released, link.
  • 2018. 04, one demo paper accepted by ACM ICMR'18. We will show a person and vehicle Re-ID system at ACM ICMR 2018!
  • 2018. 04, one paper on vehicle Re-Identificationaccepted by IEEE ICME'18
  • 2018. 03, one paper on person Re-Identification was accepted as Spotlight paper in CVPR '18.
  • 2018. 02, we are organizing a tutorial on FG'18: Person Re-Identification: Recent Advances and Challenges. Welcome and see you in Xi’an!
  • 2018. 02, one paper on video emotion recognition accepted by IEEE T-MM Congratulations to all!
  • 2018. 01, the code of our ACM MM17 paper: GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval is released, link.
  • 2018. 01, the dataset of our ACM MM17 paper: One-Shot Fine-Grained Instance Retrieval is released, link.
  • 2018. 01, one paper on Fine-grained visual categorization was accepted by IEEE T-IP, Congratulations to all!
  • 2018. 01, one paper on attribute based person Re-Identification was accepted by IEEE T-PAMI, Congratulations to all!

Recent Publications (complete list...)
  • J. Li, S. Zhang, J. Wang, Q. Tian, and W. Gao. Global-Local Temporal Representations for Video Person Re-Identification, accepted by ICCV, 2019.
  • J. Li, S. Zhang, Q. Tian, M. Wang, and W. Gao. Pose-Guided Representation Learning for Person Re-Identification, accepted by IEEE T-PAMI, 2019.
  • S. Mao, S. Zhang, and M. Yang. Resolution Invariant Person Re-Identification, IJCAI, 2019.
  • J. He, S. Zhang, M. Yang, Y. Shan and T. Huang. Bi-Directional Cascade Network for Perceptual Edge Detection, IEEE CVPR, 2019.
  • J. Ye, S. Zhang, T. Huang, and Y. Rui. CDbin: Compact Discriminative Binary Descriptor Learned with Efficient Neural Network, IEEE T-CSVT, 2019.
  • H. Yao, S. Zhang, R. Hong, Y. Zhang, C. Xu, and Q. Tian. Deep RepresentationLearning with Part Loss for Person Re-Identification, IEEE T-IP, 2019.
  • 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.

Sponsors
 
 
Updated 07/2019