Current Team Members

Professor

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Jian Zhang (张健)

Assistant Professor, Ph. D. Supervisor

AI-based low-level vision and computational imaging, AI-generated content (AIGC) and security

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

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Chong Mou (牟冲)

Image Restoration, Object Detection

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Qiankun Gao (高乾坤)

Continual Learning, Transfer Learning, Multimodal Large Language Models

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Bin Chen (陈斌)

Image Reconstruction, Compressed Sensing, Inverse Imaging Problems

Master Students

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Zhenyu Zhang (张振宇)

Image Restoration and Enhancement, Video Processing

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Xinhua Cheng (程鑫华)

Computer Vision, Deep Learning, Person re-ID

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Jiwen Yu (余济闻)

AIGC-related Applications, Generation Models

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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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Runyi Li (李润一)

Computer Vision, Compressed Sensing, Image Restoration

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Xuhan Sheng (盛栩涵)

Omnidirectional Image Problem, SNN

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Haijie Li (李海杰)

3D Vision-and-Language

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Guanhua Zhao (赵灌华)

Computer Vision, Deep Learning, Multimedia Coding

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Chengxiang Wen (温程翔)

Computer Vision, Deep Learning

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Yu Wang (汪玉)

Computer Vision, Deep Learning

Alumni

2022

Jianhui Chang (常建慧)

Master 2019-2022, To Ph.D study at Peking University

Mengxi Jia (贾梦溪)

Master 2019-2022, To Ph.D study at Peking University

Zhuoyuan Wu (武卓远)

Master 2019-2022, To work at Mei Tuan

Zihong Huang (黄姿鸿)

Master 2019-2022, To work at Alibaba

Di You (由迪)

Master 2019-2022, To Ph.D study at Imperial College London

2023

Jingfen Xie (谢静芬)

Master 2020-2023, To work at ByteDance

Recent News

  • 2024/05 - 1 paper accepted to TCSVT!
  • 2024/04 - 1 paper accepted to TPAMI!
  • 2024/02 - 6 papers accepted to CVPR 2024!
  • 2024/01 - 2 papers accepted to ICLR 2024!
  • 2023/12 - 3 papers accepted to AAAI 2024!
  • 2023/11 - 1 paper accepted to TPAMI!
  • 2023/10 - 1 paper accepted to TMM!
  • 2023/09 - 1 paper accepted to NeurIPS 2023!
  • 2023/08 - 1 paper accepted to TIM!
  • 2023/07 - 3 papers accepted to ICCV 2023!
  • 2023/05 - 1 paper accepted to IJCV!
  • 2023/05 - 1 paper accepted to TIP!

Papers 2022

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

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(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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(2022). Metric Learning based Interactive Modulation for Real-World Super-Resolution. European Conference on Computer Vision (ECCV).

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Papers Before 2022

(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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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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