Hong Kong Metropolitan University

Jimmy S. Ren 任思捷

Assistant Professor & Engineer

Department of Electronic Engineering and Computer Science
School of Science and Technology

jren@hkmu.edu.hk jimmy.sj.ren@gmail.com
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Jimmy S. Ren at Hong Kong Metropolitan University

General Information

I am an Assistant Professor and an Engineer at the Department of Electronic Engineering and Computer Science, School of Science and Technology, Hong Kong Metropolitan University (HKMU). My research interests are Computational Photography, Computational Imaging, and Image/Signal Processing. I am broadly interested in applying model-based machine learning and deep learning methods in these areas.

Before joining HKMU, I was an executive research director at SenseTime, where I headed the AI imaging team. The computational photography products and AI image sensors we developed are used in tens of millions of smartphones. I received my Ph.D. from the Department of Information Systems at City University of Hong Kong, where I studied theories and applications of decision making in large-scale social systems using machine learning. I was also fortunate enough to spend a few years at Intel, Ericsson, and Lenovo, working with outstanding engineers and researchers.

News

  • One project funded by Hong Kong RGC FDS.

  • One paper accepted to IEEE TIP.

  • One paper accepted to NeurIPS 2025.

  • One paper accepted to ACM ToG.

  • Will serve as an area chair of CVPR 2026.

Selected Publications

All publications →
  1. Illustration for Harnessing Diffusion-Yielded Score Priors for Image Restoration

    [70] Harnessing Diffusion-Yielded Score Priors for Image Restoration

    Xinqi Lin, Fanghua Yu, Jinfan Hu, Zhiyuan You, Wu Shi, Jimmy S. Ren, Jinjin Gu, Chao Dong

    ACM Transactions on Graphics (ACM TOG) · 2025

    paper code
  2. Illustration for Latency Correction for Event-guided Deblurring and Frame Interpolation

    [64] Latency Correction for Event-guided Deblurring and Frame Interpolation

    Yixin Yang, Jinxiu Liang, Bohan Yu, Yan Chen, Jimmy S. Ren, Boxin Shi

    IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2024)

    paper
  3. Illustration for Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline

    [57] Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline

    Guocheng Qian, Yuanhao Wang, Jinjin Gu, Chao Dong, Wolfgang Heidrich, Bernard Ghanem, Jimmy S. Ren

    International Conference on Computational Photography (ICCP 2022)

    paper project
  4. Illustration for Visually Imbalanced Stereo Matching

    [39] Visually Imbalanced Stereo Matching

    Yicun Liu, Jimmy S. Ren, Jiawei Zhang, Jianbo Liu, Mude Lin

    IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020)

    paper code
  5. Illustration for Learning Event-Based Motion Deblurring

    [38] Learning Event-Based Motion Deblurring

    Zhe Jiang, Yu Zhang, Dongqing Zou, Jimmy S. Ren, Jiancheng Lv, Yebin Liu

    IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020)

    paper
  6. Illustration for Very Power Efficient Neural Time-of-Flight

    [35] Very Power Efficient Neural Time-of-Flight

    Yan Chen, Jimmy S. Ren, Xuanye Cheng, Keyuan Qian, Luyang Wang, Jinwei Gu

    IEEE Winter Conference on Applications of Computer Vision (WACV 2020)

    paper
  7. Illustration for DAVANet: Stereo Deblurring with View Aggregation

    [26] DAVANet: Stereo Deblurring with View Aggregation

    Shangchen Zhou, Jiawei Zhang, Wangmeng Zuo, Haozhe Xie, Jinshan Pan, Jimmy S. Ren

    IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019) - oral

    paper project data
  8. Illustration for Learning Selfie-Friendly Abstraction from Artistic Style Images

    [21] Learning Selfie-Friendly Abstraction from Artistic Style Images

    Yicun Liu, Jimmy S. Ren, Jianbo Liu, Jiawei Zhang, Xiaohao Chen

    The 10th Asian Conference on Machine Learning (ACML 2018)

    paper code video
  9. Illustration for Single View Stereo Matching

    [19] Single View Stereo Matching

    Yue Luo, Jimmy S. Ren, Mude Lin, Jiahao Pang, Wenxiu Sun, Hongsheng Li, Liang Lin

    IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018) - spotlight

    paper project code video
  10. Illustration for LSTM Pose Machines

    [16] LSTM Pose Machines

    Yue Luo, Jimmy S. Ren, Zhouxia Wang, Wenxiu Sun, Jinshan Pan, Jianbo Liu, Jiahao Pang, Liang Lin

    IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018)

    paper project code
  11. Illustration for Accurate Single Stage Detector Using Recurrent Rolling Convolution

    [11] Accurate Single Stage Detector Using Recurrent Rolling Convolution

    Jimmy S. Ren, Xiaohao Chen, Jianbo Liu, Wenxiu Sun, Jiahao Pang, Qiong Yan, Yu-Wing Tai, Li Xu

    IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017)

    paper code KITTI ranking
  12. Illustration for Look, Listen and Learn - A Multimodal LSTM for Speaker Identification

    [10] Look, Listen and Learn - A Multimodal LSTM for Speaker Identification

    Jimmy S. Ren, Yongtao Hu, Yu-Wing Tai, Chuan Wang, Li Xu, Wenxiu Sun, Qiong Yan

    The 30th AAAI Conference on Artificial Intelligence (AAAI-16). (oral) · 2016

    paper code
  13. Illustration for Shepard Convolutional Neural Networks

    [9] Shepard Convolutional Neural Networks

    Jimmy S. Ren, Li Xu, Qiong Yan, Wenxiu Sun

    Advances in Neural Information Processing Systems (NeurIPS 2015)

    paper code
  14. Illustration for Deep Edge-Aware Filters

    [8] Deep Edge-Aware Filters

    Li Xu, Jimmy S. Ren, Qiong Yan, Renjie Liao, Jiaya Jia

    The 32nd International Conference on Machine Learning (ICML 2015)

    paper project code poster video
  15. Illustration for On Vectorization of Deep Convolutional Neural Networks for Vision Tasks

    [6] On Vectorization of Deep Convolutional Neural Networks for Vision Tasks

    Jimmy S. Ren and Li Xu

    The 29th AAAI Conference on Artificial Intelligence (AAAI-15) · 2015

    paper code
  16. Illustration for Deep Convolutional Neural Network for Image Deconvolution

    [5] Deep Convolutional Neural Network for Image Deconvolution

    Li Xu, Jimmy S. Ren, Ce Liu, Jiaya Jia

    Advances in Neural Information Processing Systems (NeurIPS 2014)

    paper poster project

View all publications →

Students and Interns

Current

Wenshuo ZhaiMPhil2026–

Former students and interns

Name Period Next position
Yue Luo 2017–2018 MSc student in Columbia University
Yicun Liu 2017–2018 MSc student in Columbia University
Fangjun Zhang 2017–2018 MSc student in New York University
Ziqi Chen 2018 MSc student in Carnegie Mellon University
Danlei Zhu 2018 PhD student in Carnegie Mellon University
Zhengyang Xia 2018 MSc student in Carnegie Mellon University
Cheng-Tsung Liu 2018 MSc student in University of Southern California
Guocheng Qian 2018–2019 MSc student in King Abdullah Univ. of Sci. and Technology
Jinjin Gu 2018–2019 PhD student in University of Sydney
Daoye Wang 2018–2019 MSc student in ETH Zurich
Lu Xu 2019–2020 MSc student in Carnegie Mellon University
Jinan Zhou 2020–2021 MSc student in Carnegie Mellon University

Blog

All posts →

Research notes, tutorials, and perspectives. Posts coming soon.