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, Visual SLAM

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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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Hannong Zheng(郑翰浓)

Image Compression, Video Compression

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Qian Wang (王茜)

Image Restoration, Compressive Sensing, Computer Vision

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Xuanyu Zhang (张轩宇)

3D-aware Portrait Synthesis, Image Restoration and Enhancement

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Weiqi Li (李玮琦)

Deep Learning and Optimization, Image Restoration, 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

Alumni

2022

Jianhui Chang (常建慧)

Master 2019-2022, Peking University

Mengxi Jia (贾梦溪)

Master 2019-2022, Peking University

Zhuoyuan Wu (武卓远)

Master 2019-2022, Mei Tuan

Zihong Huang (黄姿鸿)

Master 2019-2022, Alibaba

Di You (由迪)

Master 2019-2022, Imperial College London

Recent News

  • 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!
  • 2022/04 - 2 papers accepted to JSTSP!
  • 2022/03 - 3 papers accepted to CVPR 2022!
  • 2022/03 - 1 paper accepted to TIP!
  • 2022/01 - 1 paper accepted to TMM!
  • 2021/12 - 1 paper accepted to TCSVT!
  • 2021/11 - 2 papers accepted to AAAI 2022!

Papers 2022

(2022). Physics-Inspired Compressive Sensing: Beyond Deep Unrolling. IEEE Signal Processing Magazine (SPM).

(2022). Contrastive Unfolding Deraining Network. IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

(2022). TransCL: Transformer Makes Strong and Flexible Compressive Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).

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(2022). Content-aware Scalable Deep Compressed Sensing. IEEE Transactions on Image Processing (TIP).

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(2022). Hierarchical Similarity Learning for Aliasing Suppression Image Super-Resolution. IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

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Papers 2021

(2021). TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification. Advances in Neural Information Processing Systems (NeurIPS).

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(2021). Super Resolve Dynamic Scene from Continuous Spike Streams. International Conference on Computer Vision (ICCV).

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Papers Before 2021

(2020). Attention Based Dual Branches Fingertip Detection Network and Virtual Key System. Proceedings of ACM International Conference on Multimedia (ACM MM).

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(2019). Layered conceptual image compression via deep semantic synthesis. IEEE International Conference on Image Processing (ICIP).

(2020). A Similarity Inference Metric for RGB-Infrared Cross-Modality Person Re-identification. International Joint Conference on Artificial Intelligence (IJCAI).

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(2019). A Novel Two-stage Separable Deep Learning Framework for Practical Blind Watermarking. Proceedings of 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【2022招收硕士/博士研究生及访问学生申请须知】

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