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

Current Team Members

Professors

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Jian Zhang

Assistant Professor, Ph. D. Supervisor

Intelligent Multimedia Processing, Deep Learning and Optimization, Computer Vision

Phd Students

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Jiechong Song

Phd Student

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Yangang Cai

Phd Student

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Yujie Hu

Phd Student

Image Synthesis, Image Translation

MPhil Students

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Zhenyu Zhang

MPhil Student

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Zhuoyuan Wu

MPhil Student

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Zihong Huang

MPhil Student

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Di You

MPhil Student

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Mengxi Jia

MPhil Student

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Jianhui Chang

MPhil Student

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Youmin Xu

MPhil Student

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

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Chong Mu

MPhil Student

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Jingfen Xie

MPhil Student

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

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Qiankun Gao

MPhil Student

Computer Vision

Intern/Visiting Students

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Xinhua Cheng

Visiting Student

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Bin Chen

Visiting Student

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Jiwen Yu

Visiting Student

Journal Articles

(2020). Optimization-Inspired Compact Deep Compressive Sensing. IEEE Journal of Selected Topics in Signal Processing (JSTSP).

PDF Code Project

(2020). End-to-end Learned, Optically Coded Super-resolution SPAD Camera. ACM Transactions on Graphics (TOG).

PDF Project

(2019). Divisively Normalized Sparse Coding: Toward Perceptual Visual Signal Representation. IEEE Transactions on Cybernetics (TOC).

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(2018). CREAM: CNN-REgularized ADMM Framework for Compressive-Sensed Image Reconstruction. IEEE Access.

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(2018). Probabilistic Decision Based Block Partitioning for Future Video Coding. IEEE Transactions on Image Processing (TIP).

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Conference Papers

(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

(2018). ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing. IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

PDF Code Poster Top Conference in Computer Vision

(2017). Effective Quadtree Plus Binary Tree Block Partition Decision for Future Video Coding. Data Compression Conference (DCC).

PDF Oral Top Conference in Data Compression

(2017). Globally Variance-Constrained Sparse Representation for Rate-Distortion Optimized Image Representation. Data Compression Conference (DCC).

PDF Oral Top Conference in Data Compression

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【2020招收硕士/博士研究生及访问学生申请须知】

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