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

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

Phd Students

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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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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

2024

Jiechong Song (宋皆充)

Ph.D 2019-2024, To work at China Mobile

Zhenyu Zhang (张振宇)

Master 2019-2024, To Ph.D study at Arizona State University

Xinhua Cheng (程鑫华)

Master 2021-2024, To Ph.D study at Peking University

Jiwen Yu (余济闻)

Master 2021-2024, To Ph.D study at The University of Hong Kong

Yinhuai Wang (王荫槐)

Master 2021-2024, To Ph.D study at Hong Kong University of Science and Technology

Recent News

  • 2024/07 - 1 paper accepted to ECCV 2024!
  • 2024/06 - 1 paper accepted to Commun Eng!
  • 2024/05 - 2 papers 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!

Papers 2024

Runyi Li (李润一), Xuhan Sheng (盛栩涵), Weiqi Li (李玮琦), Jian Zhang (张健) (2024). OmniSSR: Zero-shot Omnidirectional Image Super-Resolution using Stable Diffusion Model. European Conference on Computer Vision (ECCV).

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Shuai Liu, Bin Chen (陈斌), Wenzhen Zou, Hao Sha, Xiaochen Feng, Sanyang Han, Xiu Li, Xuri Yao, Jian Zhang (张健), Yongbing Zhang (2024). Compressive Confocal Microscopy Imaging at the Single-Photon Level with Ultra-Low Sampling Ratios. Communications Engineering.

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Xuanyu Zhang (张轩宇), Bin Chen (陈斌), Wenzhen Zou, Shuai Liu, Yongbing Zhang, Ruiqin Xiong, Jian Zhang (张健) (2024). Progressive Content-aware Coded Hyperspectral Compressive Imaging. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT).

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Weiqi Li (李玮琦), Bin Chen (陈斌), Shuai Liu, Shijie Zhao, Bowen Du, Yongbing Zhang, Jian Zhang (张健) (2024). D3C2-Net: Dual-Domain Deep Convolutional Coding Network for Compressive Sensing. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT).

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Chong Mou (牟冲), Xintao Wang, Yanze Wu, Ying Shan, Jian Zhang (张健) (2024). Empowering Real-World Image Super-Resolution with Flexible Interactive Modulation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).

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Papers 2023

Wenxue Cui, Xiaopeng Fan, Jian Zhang (张健), Debin Zhao (2023). Deep Unfolding Network for Image Compressed Sensing by Content-adaptive Gradient Updating and Deformation-invariant Non-local Modeling. IEEE Transactions on Multimedia (TMM).

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Jiwen Yu (余济闻), Xuanyu Zhang (张轩宇), Youmin Xu (许佑民), Jian Zhang (张健) (2023). CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image Steganography. Advances in Neural Information Processing Systems (NeurIPS).

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Jiechong Song (宋皆充), Jian Zhang (张健) (2023). SODAS-Net: Side-Information-Aided Deep Adaptive Shrinkage Network for Compressive Sensing. IEEE Transactions on Instrumentation and Measurement (TIM).

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Qiankun Gao (高乾坤), Chen Zhao, Yifan Sun, Teng Xi, Gang Zhang, Bernard Ghanem, Jian Zhang (张健) (2023). A Unified Continual Learning Framework with General Parameter-Efficient Tuning. International Conference on Computer Vision (ICCV).

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Jiwen Yu (余济闻), Yinhuai Wang (王荫槐), Chen Zhao, Bernard Ghanem, Jian Zhang (张健) (2023). Freedom: Training-free energy-guided conditional diffusion model. International Conference on Computer Vision (ICCV).

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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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Qiankun Gao (高乾坤), Chen Zhao, Bernard Ghanem, Jian Zhang (张健) (2022). R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning. 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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