Visual-Information Intelligent Learning LAB,
Shenzhen Graduate School, Peking University

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)

Phd Student

Compressive Sensing, Image Restoration

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Yujie Hu (胡妤婕)

Phd Student

Image Synthesis, Image Translation, Image Animation

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Yanmin Wu (吴艳敏)

Phd Student

3D Vision, Visual SLAM

Master Students

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Zhenyu Zhang (张振宇)

Master Student

Image Restoration and Enhancement, Video Processing

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Zhuoyuan Wu (武卓远)

Master Student

Image Restoration and Enhancement, Video Processing, Compressive Sensing

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Zihong Huang (黄姿鸿)

Master Student

Image Restoration and Enhancement, Computer Vision

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Di You (由迪)

Master Student

Image Restoration, Compressive Sensing

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Mengxi Jia (贾梦溪)

Master Student

Computer Vision, Machine Learning, Person re-ID

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Jianhui Chang (常建慧)

Master Student

Image Compression, Image Generation, Image Restoration

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Youmin Xu (许佑民)

Master Student

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

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Chong Mou (牟冲)

Master Student

Image Restoration, Object Detection

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Jingfen Xie (谢静芬)

Master Student

Deep Learning and Optimization, Computer Vision, Image Reconstruction, Compressive Sensing

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Qiankun Gao (高乾坤)

Master Student

Deep Learning, Continual Learning, Computer Vision, Person re-ID

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Xinhua Cheng (程鑫华)

Master Student

Computer Vision, Deep Learning, Person re-ID

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Bin Chen (陈斌)

Master Student

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

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Jiwen Yu (余济闻)

Master Student

Image Restoration, Deep Learning

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Yinhuai Wang (王荫槐)

Master Student

Deep Learning, Robotics, Computer Vision, Generative Models

Intern/Visiting Students

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Qian Wang (王茜)

Visiting Student

Image Restoration, Compressive Sensing, Computer Vision

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Xuanyu Zhang (张轩宇)

Visiting Student

Deep Unfolding Network, Image Restoration and Enhancement, Compressive Sensing

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Shuzhou Yang (杨树州)

Visiting Student

3D Reconstruction, Image Restoration, Image Enhancement

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Weiqi Li (李玮琦)

Visiting Student

Computer Vision, Deep Learning, Person re-ID

Papers 2022

(2022). DREAMT: Diversity Enlarged Mutual Teaching for Unsupervised Domain Adaptive Person Re-Identification. IEEE Transactions on Multimedia (TMM).

(2022). High-Throughput Deep Unfolding Network for Compressive Sensing MRI. IEEE Journal of Selected Topics in Signal Processing (JSTSP).

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(2022). PUERT: Probabilistic Under-sampling and Explicable Reconstruction Network for CS-MRI. IEEE Journal of Selected Topics in Signal Processing (JSTSP).

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(2022). Conceptual Compression via Deep Structure and Texture Synthesis. IEEE Transactions on Image Processing (TIP).

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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).

PDF Oral Top Conference in Multimedia

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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