www.jimmyren.com

General Information

Publications

Some of My Previous Interns

Work Experience

Award and Certificate

 

 

 

 

Jimmy S. Ren ˼
Email: jimmy.sj.ren@gmail.com
Phone: +852 67614737 / +86 15012522767

General Information
I am currently a Research Director at SenseTime. I finished my Ph.D. from City University of Hong Kong. My research interests are: machine learning and computer vision. I am also interested in parallel computing on GPUs and Agile software development.

See my Resume
Find me on facebook, linkedin, weibo

News
-> 09/2018: 1 paper accepted to 3DV 2018.
-> 07/2018: 1 paper accepted to ECCV 2018.
-> 06/2018: 1 paper accepted to ACML 2018.
-> 05/2018: Code for Learning Selfie-Friendly Abstraction from Artistic Style Images is made available on Github.
-> 04/2018: 1 paper accepted to IJCAI 2018.
-> 03/2018: Code for Single View Stereo Matching is made available on Github.
-> 02/2018: 6 papers (2 spotlights) accepted to CVPR 2018.
-> 12/2017: Code for LSTM Pose Machines is made available on Github.
-> 10/2017: 1 paper accepted to ICCV 2017 Workshop on Geometry Meets Deep Learning.
-> 04/2017: Code for Accurate Single Stage Detector Using Recurrent Rolling Convolution is made available on Github.
-> 02/2017: 1 paper accepted to CVPR 2017.

Publications [Google Scholar Page]

Computer Vision and Machine Learning

[22] "DSR: Direct Self-rectification for Uncalibrated Dual-lens Cameras",
Ruichao Xiao, Wenxiu Sun, Jiahao Pang, Qiong Yan, Jimmy S. Ren,
International Conference on 3D Vision (3DV 2018).
paper code
[21] "Learning Monocular Depth by Distilling Cross-domain Stereo Networks",
Xiaoyang Guo, Hongsheng Li, Shuai Yi, Jimmy S. Ren, Xiaogang Wang,
European Conference on Computer Vision (ECCV 2018).
paper video
[20] "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
[19] "Deep Reasoning with Knowledge Graph for Social Relationship Understanding",
Zhouxia Wang, Tianshui Chen, Jimmy S. Ren, Weihao Yu, Hui Cheng, Liang Lin,
The 27th International Joint Conference on Artificial Intelligence (IJCAI 2018).
paper code
[18] "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
[17] "Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks",
Jiawei Zhang, Jinshan Pan, Jimmy S. Ren, Yibing Song, Linchao Bao, Rynson Lau, Ming-Hsuan Yang,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018) - spotlight.
paper code
[16] "3D Human Pose Estimation in the Wild by Adversarial Learning",
Wei Yang, Wanli Ouyang, Xiaolong Wang, Jimmy S. Ren, Hongsheng Li, Xiaogang Wang,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018).
paper video
[15] "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
[14] "Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains",
Jiahao Pang, Wenxiu Sun, Chengxi Yang, Jimmy S. Ren, Ruichao Xiao, Jin Zeng, Liang Lin,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018).
paper
[13] "Learning Dual Convolutional Neural Networks for Low-Level Vision",
Jinshan Pan, Sifei Liu, Deqing Sun, Jiawei Zhang, Yang Liu, Jimmy S. Ren, Zechao Li, Jinhui Tang, Huchuan Lu, Yu-Wing Tai, Ming-Hsuan Yang,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018).
paper project code
[12] "Cascade Residual Learning: A Two-stage Convolutional Neural Network for Stereo Matching",
Jiahao Pang, Wenxiu Sun, Jimmy S. Ren, Chengxi Yang, Qiong Yan,
International Conf. on Computer Vision - Workshop on Geometry Meets Deep Learning (ICCVW 2017)
paper Ranked 1st in KITTI Stereo Evaluation 2015 code
[11] "Robust Tracking Using Region Proposal Networks",
Jimmy S. Ren, Zhiyang Yu, Jianbo Liu, Rui Zhang, Wenxiu Sun, Jiahao Pang, Xiaohao Chen, Qiong Yan,
arxiv 1705.10447 (2017)
paper code
[10] "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
 
[9] "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) 
paper code  
[8] "Shepard Convolutional Neural Networks",
Jimmy S. Ren, Li Xu, Qiong Yan, Wenxiu Sun,
Advances in Neural Information Processing Systems (NeurIPS 2015).
paper code  
[7] "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 
[6] "Deep Multimodal Speaker Naming",
Yongtao Hu, Jimmy S. Ren, Jingwen Dai, Chang Yuan, Li Xu, Wenping Wang,
The 23rd ACM International Conference on Multimedia (MM 2015).
paper project code dataset video 
[5] "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).
paper project code 
[4] "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  
[3] "The Process of Information Propagation along a Traffic Stream through Inter-vehicle Communication",
Wei Wang, Stephen Liao, Xin Li, Jimmy S. Ren,
IEEE Transaction on Intelligent Transportation Systems (IEEE TITS), 15(1), 345-354.
paper
[2] "Exploring The Contribution of Unlabeled Data in Financial Sentiment Analysis",
Jimmy S. Ren, Wei Wang, Jiawei Wang, Stephen Liao,
The 27th AAAI Conference on Artificial Intelligence (AAAI-13).
paper data
[1] "An Unsupervised Feature Learning Approach to Improve Automatic Incident Detection",
Jimmy S. Ren, Wei Wang, Jiawei Wang, Stephen Liao,
The 15th IEEE International Conference on Intelligent Transportation Systems (ITSC 2012).
paper

Information Systems and Business Statistics


[4] "A Mixed-Methods Approach to Disclose the Influence of Twofold Information Usefulness on Sales",
Libo Liu, Jimmy S. Ren, Long Song, Kristijan Mirkovski,
2015 48th Annual Hawaii International Conference on System Sciences (HICSS-48).
paper

[3] "Effective Sentiment Analysis of Corporate Financial Reports",
Jimmy S. Ren, Huizhong Ge, Xiaoyu Wu, Guan Wang, Wei Wang, Stephen Liao,
The 34th International Conference on Information Systems (ICIS 2013).
paper

[2] "When Multivariate Forecasting Meets Unsupervised Feature Learning - Towards a Novel Anomaly Detection Framework for Decision Support",
Jiawei Wang, Jimmy S. Ren, Wei Wang, Xin Li, Qiudan Li, Stephen Liao,
The 33rd International Conference on Information Systems (ICIS 2012).
paper

[1] "Optimal Refactoring Policy for Agile Information Systems Maintenance: A Control Theoretic Approach",
Jimmy S. Ren, Wei Wang, Zhimin Hua, Kaiquan Xu, Stephen Liao,
The 32nd International Conference on Information Systems (ICIS 2011).
paper

Some of My Previous Interns

Xiaohao Chen 2016-now Currently Researcher in SenseTime
Rui Zhang 2016-2017 Currently Researcher in SenseTime
Mude Lin 2017-now Currently Researcher in SenseTime
Zhouxia Wang 2017-now Currently Researcher in SenseTime
Jianwen Huang 2017 Currently Software Engineer in SenseTime
Jiawei Zhang 2017-now Currently Senior Researcher in SenseTime
Yue Luo 2017-2018 Currently MSc student in Columbia University
Yicun Liu 2017-2018 Currently MSc student in Columbia University
Fangjun Zhang 2017-2018 Currently MSc student in New York University
Ziqi Chen 2018 Currently MSc student in Carnegie Mellon University
Danlei Zhu 2018 Currently PhD student in Carnegie Mellon University

Work Experience
Senior Research Scientist, SenseTime Hong Kong (2015-now)
Research Engineer, Lenovo Labs Hong Kong (2013-2015)
Software Engineer, Ericsson China R&D (2006-2009)
Intern, Intel Asia Pacific R&D center (2006)
Research assistant, School of Software, Fudan University (2006)

Award and Certificate
First Prize of Lenovo Research Idea Platform (2015)
Best new employee, Lenovo Group Limited (2014)
Best performance of the year, Ericsson China R&D center (2008)
Certified Scrum Master (CSM) (2008)
Best performance (intern), Intel Asia Pacific R&D center (2006)
First class scholarship award of ECNU (2006)