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Dr. Ren Yang

 

Ren Yang, Dr. sc. ETH Zürich

Senior Researcher
Media Computing Group, Microsoft Research Asia

Email: yangren@microsoft.com (work), ren.yang@alumni.ethz.ch (personal)

[Google Scholar] [Microsoft Research page] [Github] [LinkedIn]

Biography

I join Microsoft as a Senior Researcher at the Media Computing Group, after half-year experience of Senior Algorithm Researcher at SenseTime. I obtained the degree of Doktor der Wissenschaften (Dr. sc. ETH Zürich) at the Computer Vision Lab, ETH Zürich, Switzerland, under the supervision of Prof. Dr. Luc Van Gool and Prof. Dr. Radu Timofte, and received the Chinese Government Award for Outstanding Self-financed Students Abroad. During my doctoral studies, I also worked as a Ph.D. researcher at Toyota Research on Automated Cars in Europe (TRACE). Before that, I was a Research Intern (with Award of Excellence) at the Intelligent Multimedia Group, Microsoft Research Asia. I obtained the M.Sc. degree in 2019 at Beihang University, P.R. China, and the B.Sc. degree at the same university in 2016. My Master Thesis is awarded the Winner of Three Minute Thesis Competition at IEEE ICME 2019, and the Outstanding Master Thesis of Chinese Institute of Electronics.

I am a Session Chair at IJCAI 2022, a Senior Program Committee (SPC) Member at IJCAI 2021, a co-organizer of NTIRE 2024 (CVPR), NTIRE 2023 (CVPR), AIM 2022 (ECCV), NTIRE 2022 (CVPR) and NITRE 2021 (CVPR) Workshops, a co-organizer/speaker of Tutorials on Neural Codec at ACM MM 2021, CVPR 2021 and VCIP 2020.

News

Selected Publications

(*: Intern under my mentorship  †: Corresponding author)

 

Boosting Neural Representations for Videos with a Conditional Decoder

Xinjie Zhang*, Ren Yang†, Dailan He, Xingtong Ge, Tongda Xu, Yan Wang, Hongwei Qin, Jun Zhang†.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (Highlight)
[Paper] [Code]

 

Advancing Learned Video Compression with In-loop Frame Prediction

Ren Yang, Radu Timofte and Luc Van Gool.
IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2023.
[Paper] [Code]

 

MASIC: Deep Mask Stereo Image Compression

Xin Deng, Yufan Deng, Ren Yang, Wenzhe Yang, Radu Timofte and Mai Xu.
IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2023.
[Paper] [Code]

 

Implicit Neural Representations for Image Compression

Yannick Strümpler, Janis Postels, Ren Yang, Luc van Gool and Federico Tombari.
European Conference on Computer Vision (ECCV), 2022.
[Paper] [Code]

 

Perceptual Learned Video Compression with Recurrent Conditional GAN

Ren Yang, Radu Timofte and Luc Van Gool.
International Joint Conference on Artificial Intelligence (IJCAI), 2022. (Oral)
[Paper] [Code]

 

AIM 2022 Challenge on Super-Resolution of Compressed Image and Video

Ren Yang and Radu Timofte.
This challenge is a part of the AIM workshop in conjunction with ECCV 2022.
[Homepage] [Report]

 

NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video

Ren Yang and Radu Timofte.
This challenge is a part of the NTIRE workshop in conjunction with CVPR 2022.
[Homepage] [Report]

 

NTIRE 2021 Challenge on Quality Enhancement of Compressed Video

Ren Yang and Radu Timofte.
This challenge is a part of the NTIRE workshop in conjunction with CVPR 2021.
[Homepage] [Dataset report] [Methods report]

 

Deep Homography for Efficient Stereo Image Compression

Xin Deng, Wenzhe Yang, Ren Yang, Mai Xu, Enpeng Liu, Qianhan Feng and Radu Timofte.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021. (Oral)
[Paper] [Code]

 

Learning for Video Compression with Recurrent Auto-Encoder and Recurrent Probability Model

Ren Yang, Fabian Mentzer, Luc Van Gool and Radu Timofte.
IEEE Journal of Selected Topics in Signal Processing (J-STSP), 2021.
[Paper] [Code]

 

Learning to Improve Image Compression without Changing the Standard Decoder

Yannick Strümpler, Ren Yang and Radu Timofte.
European Conference on Computer Vision Workshops (ECCVW), 2020.
[Paper] [Code]

 

Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement

Ren Yang, Fabian Mentzer, Luc Van Gool and Radu Timofte.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
[Paper] [Code]

 

Understanding and Predicting the Memorability of Outdoor Natural Scenes

Jiaxin Lu, Mai Xu, Ren Yang and Zulin Wang.
IEEE Transactions on Image Processing (T-IP), 2020.
[Paper] [Code] [Dataset] [Conference paper (EE-USAD 2018) (Oral)]

 

Wavelet Domain Style Transfer for an Effective Perception-distortion Tradeoff in Single Image Super-Resolution

Xin Deng, Ren Yang, Mai Xu and Pier Luigi Dragotti.
IEEE International Conference on Computer Vision (ICCV), 2019. (Oral)
[Paper] [Code]

 

Quality-Gated Convolutional LSTM for Enhancing Compressed Video

Ren Yang, Xiaoyan Sun, Mai Xu and Wenjun Zeng.
IEEE International Conference on Multimedia and Expo (ICME), 2019. (Oral)
[Paper] [Code]

 

MFQE 2.0: A New Approach for Multi-frame Quality Enhancement on Compressed Video

Zhengyu Guan, Qunliang Xing, Mai Xu, Ren Yang, Tie Liu and Zulin Wang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2019.
[Paper] [Code]

 

A Deep Learning Approach for Multi-Frame In-Loop Filter of HEVC

Tianyi Li, Mai Xu, Ce Zhu, Ren Yang, Zulin Wang and Zhenyu Guan.
IEEE Transactions on Image Processing (T-IP), 2019.
[Paper] [Code] [Conference paper (DCC 2019) (Oral)]

 

Multi-Frame Quality Enhancement for Compressed Video

Ren Yang, Mai Xu,  Zulin Wang and Tianyi Li.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
[Paper] [Code]

 

Reducing Complexity of HEVC: A Deep Learning Approach

Mai Xu, Tianyi Li, Zulin Wang, Xin Deng, Ren Yang and Zhenyu Guan.
IEEE Transactions on Image Processing (T-IP), 2018.
[Paper] [Code]

 

Enhancing Quality for HEVC Compressed Videos

Ren Yang, Mai Xu, Tie Liu, Zulin Wang and Zhenyu Guan.
IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2018.
[Paper] [Conference paper (ICME 2017) (Oral)]

 

Saliency-Guided Complexity Control for HEVC Decoding

Ren Yang, Mai Xu, Zulin Wang, Yiping Duan and Xiaoming Tao.
IEEE Transactions on Broadcasting (T-BC), 2018.
[Paper] [Conference paper (ICME 2016)]

Patents

Awards

Tutorials

Workshops

Services

Session Chair:

Senior Program Commitee (SPC) Member:

Journal Reviewer:

Conference Reviewer/Program Commitee (PC) Member:

Teaching and Supervision