Zhile Ren

Email: jrenzhile -at- gmail.com

I'm a final year PhD student in Brown University working with Erik Sudderth. My research interests are computer vision with applications in 3D scene understanding and computer graphics with applications in image manipulation. I did my undergrad in mathematics at Zhejiang University.

I had joyful internship experiences with Greg Shakhnarovich (TTI-Chicago), Huai-Yu Wu (NLPR), Sing Bing Kang, Johannes Kopf (Microsoft Research), Deqing Sun, Orazio Gallo, Ming-Hsuan Yang and Jan Kautz (NVIDIA Research). I also had great joy working with James Hays during my first year in Brown.

My CV (in PDF) and Google Scholar page. I'm graduating in summer 2018 and I'm actively looking for research positions in computer vision.


  • 2017.9.3: Our semantic scene flow estimation work is accpeted at 3DV 2017 as an oral presentation.
  • 2017.9.3: Following my advisor's move, I'm spending a year visiting UC-Irvine.

Research Projects

3D Object Dection with Latent Support Surfaces
Zhile Ren, Erik Sudderth
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
Cascaded Scene Flow Prediction using Semantic Segmentation
Zhile Ren, Deqing Sun, Jan Kautz, Erik Sudderth
International Conference on 3D Vision (3DV), 2017 (oral presentation)
Three-Dimensional Object Detection and Layout Prediction using Clouds of Oriented Gradients
Zhile Ren, Erik Sudderth
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 (oral presentation)

Robust Graph SLAM in Dynamic Environments with Moving Landmarks
Lingzhu Xiang, Zhile Ren, Mengrui Ni, Odest Chadwicke Jenkins
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015
Transient Attributes for High-Level Understanding and Editing of Outdoor Scenes
Pierre-Yves Laffont, Zhile Ren, Xiaofeng Tao, Chao Qian and James Hays
ACM Transactions on Graphics (SIGGRAPH), 2014
Press coverage: Brown News, NBC News, and IEEE Spectrum
Image Segmentation by Cascaded Region Agglomeration
Zhile Ren, Greg Shakhnarovich
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013


CSCI2420: Probabilistic Graphical Models. (Graduate TA, Fall 2016)

CSCI1450: Introduction to Probability and Computing. (Graduate TA, Spring 2015)


  • (Almost) Everyone calls me "Ren"
  • I served as a reviewer for CVIU, TPAMI, ICCV (2015/2017), CVPR (2016-18), ECCV (2016/2018), ACCV (2016), BMVC (2017)
  • You can find me in social networks: Facebook LinkedIn Instagram Goodreads 500px