Visual-Information Intelligent Learning LAB
Welcome to VILLA, the research group lead by Prof. Jian Zhang, affiliated to the School of Electronic and Computer Engineering, Peking University. We research on intelligent visual representation, reconstruction, and learning.

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Current Team Members

Professor

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Jian Zhang (张健)

Assistant Professor, Ph. D. Supervisor

Intelligent Multimedia Processing, Deep Learning and Optimization, Computer Vision

Phd Students

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Jiechong Song (宋皆充)

Compressive Sensing, Image Restoration

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Yujie Hu (胡妤婕)

Image Synthesis, Image Translation, Image Animation

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Yanmin Wu (吴艳敏)

3D Vision-and-Language

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Youmin Xu (许佑民)

Computer Vision, Image Generation, Image Compression, Generative Adversarial Network

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Shuzhou Yang (杨树州)

3D Reconstruction, Image Restoration, Image Enhancement

Master Students

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Zhenyu Zhang (张振宇)

Image Restoration and Enhancement, Video Processing

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Chong Mou (牟冲)

Image Restoration, Object Detection

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Jingfen Xie (谢静芬)

Deep Learning and Optimization, Computer Vision, Image Reconstruction, Compressive Sensing, Magnetic Resonance Imaging

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Qiankun Gao (高乾坤)

Deep Learning, Continual Learning, Computer Vision

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Xinhua Cheng (程鑫华)

Computer Vision, Deep Learning, Person re-ID

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Bin Chen (陈斌)

Deep Learning and Optimization, Computer Vision, Low-level Vision, Image Restoration, Compressed Sensing

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Jiwen Yu (余济闻)

Image Restoration, Deep Learning

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Yinhuai Wang (王荫槐)

Deep Learning, Robotics, Computer Vision, Generative Models

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Qian Wang (王茜)

Image Restoration, Compressive Sensing, Computer Vision

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Xuanyu Zhang (张轩宇)

Image Restoration and Enhancement

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Weiqi Li (李玮琦)

AIGC, 360 Image Processing, Compressed Sensing

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Yu Gu (古雨)

Deep Learning, Computer Vision, Compressive Sensing

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Yilin Guo (郭怡琳)

Image Generation, Image and Video Compression

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Jiarui Meng (孟佳锐)

Deep Learning, Video Processing

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Wuyang Zheng（郑无恙）

Deep Learning, Multimedia Coding

Intern/Visiting Students

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Runyi Li (李润一)

Computer Vision, Compressed Sensing, Image Restoration

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Shujia Li (李书家)

Computer Vision, Image Compression

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Xuhan Sheng (盛栩涵)

Omnidirectional Image Problem, SNN

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Chi-Min Chan (詹棋闵)

Novel Methods and Applications on Natural Language Processing

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Haijie Li (李海杰)

Computer Vision, Deep Learning

Alumni

Recent News

  • 2023/05 - 1 paper accepted to IJCV!
  • 2023/05 - 1 paper accepted to TIP!
  • 2023/04 - 1 paper accepted to IJCAI!
  • 2023/04 - 1 paper accepted to IJCV!
  • 2023/04 - 1 paper accepted to TRO!
  • 2023/03 - 1 paper accepted to TIP!
  • 2023/02 - 4 papers accepted to CVPR 2023!
  • 2023/02 - 1 paper accepted to TCSVT!
  • 2023/01 - 1 paper accepted to IJCV!
  • 2023/01 - 1 paper accepted to ICLR 2023!
  • 2022/11 - 4 papers accepted to AAAI 2023!
  • 2022/09 - 1 paper accepted to SPM!
  • 2022/08 - 1 paper accepted to TNNLS!
  • 2022/07 - 1 paper accepted to TPAMI!
  • 2022/07 - 1 paper accepted to TIP!
  • 2022/07 - 1 paper accepted to TNNLS!
  • 2022/07 - 2 papers accepted to ECCV 2022!
  • 2022/07 - 2 papers accepted to ACM MM 2022!
  • 2022/06 - 1 paper accepted to MICCAI 2022!
  • 2022/05 - 1 paper accepted to TCSVT!
  • 2022/05 - 1 paper accepted to TMM!

Papers 2023

Bin Chen (陈斌), Jiechong Song (宋皆充), Jingfen Xie (谢静芬), Jian Zhang (张健) (2023). Deep Physics-Guided Unrolling Generalization for Compressed Sensing. International Journal of Computer Vision (IJCV).

Dongjie Ye, Zhangkai Ni, Hanli Wang, Jian Zhang (张健), Shiwqi Wang, Sam Kwong (2023). CSformer: Bridging Convolution and Transformer for Compressive Sensing. IEEE Transactions on Image Processing (TIP).

Xinhua Cheng (程鑫华), Nan Zhang, Jiwen Yu (余济闻), Yinhuai Wang (王荫槐), Ge Li, Jian Zhang (张健) (2023). Null-Space Diffusion Sampling for Zero-Shot Point Cloud Completion. International Joint Conference on Artificial Intelligence (IJCAI).

Jianhui Chang (常建慧), Jian Zhang (张健), Jiguo Li, Shiqi Wang, Qi Mao, Chuanmin Jia, Siwei Ma, Wen Gao (2023). Semantic-aware Visual Decomposition for Image Coding. International Journal of Computer Vision (IJCV).

Yanmin Wu (吴艳敏), Yunzhou Zhang, Delong Zhu, Zhiqiang Deng, Wenkai Sun, Xin Chen, Jian Zhang (张健) (2023). An Object SLAM Framework for Association, Mapping, and High-Level Tasks. IEEE Transactions on Robotics (TRO).

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Papers 2022

Zihong Huang (黄姿鸿), Jian Zhang (张健) (2022). Contrastive Unfolding Deraining Network. IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

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Chong Mou (牟冲), Jian Zhang (张健) (2022). TransCL: Transformer Makes Strong and Flexible Compressive Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).

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Bin Chen (陈斌), Jian Zhang (张健) (2022). Content-aware Scalable Deep Compressed Sensing. IEEE Transactions on Image Processing (TIP).

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Yuqing Liu, Qi Jia, Jian Zhang (张健), Xin Fan, Shanshe Wang, Siwei Ma, Wen Gao (2022). Hierarchical Similarity Learning for Aliasing Suppression Image Super-Resolution. IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

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Chong Mou (牟冲), Yanze Wu, Xintao Wang, Chao Dong, Jian Zhang (张健), Ying Shan (2022). Metric Learning based Interactive Modulation for Real-World Super-Resolution. European Conference on Computer Vision (ECCV).

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Papers Before 2022

Zhuchen Shao, Hao Bian, Yang Chen, Yifeng Wang, Jian Zhang (张健), Xiangyang Ji, Yongbing Zhang (2021). TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification. Advances in Neural Information Processing Systems (NeurIPS).

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Zhuoyuan Wu (武卓远), Jian Zhang (张健), Chong Mou (牟冲) (2021). Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Sensing. International Conference on Computer Vision (ICCV).

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Chong Mou (牟冲), Jian Zhang (张健), Zhuoyuan Wu (武卓远) (2021). Dynamic Attentive Graph Learning for Image Restoration. International Conference on Computer Vision (ICCV).

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Jing Zhao, Jiyu Xie, Ruiqin Xiong, Jian Zhang (张健), Zhaofei Yu, Tiejun Huang (2021). Super Resolve Dynamic Scene from Continuous Spike Streams. International Conference on Computer Vision (ICCV).

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Jiechong Song (宋皆充), Bin Chen (陈斌), Jian Zhang (张健) (2021). Memory-Augmented Deep Unfolding Network for Compressive Sensing. ACM International Conference on Multimedia (ACM MM).

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Openings

Postdoctoral Fellows

The VILLA group at PKU is looking for a top postdoctoral researcher with expertise in computer vision, computational photography, and deep learning. The researcher for this opening will work at PKU to investigate and develop principled computational methods for highly effective, scalable, and robust visual-information intelligent learning (e.g. person re-identification, tracking, segmentation, compression, reconstruction). Please send a full CV with a complete list of your publications and projects to Prof. Jian Zhang.

Students

The VILLA group at PKU is looking for motivated MS and Ph.D. students in computer vision and signal processing. Please send a full CV with a complete list of your publications and projects, as well as, an unofficial academic transcript to Prof. Jian Zhang.
国内学生请认真阅读【2024招收硕士/博士研究生及访问学生申请须知】。

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