Zhile Ren

Email: jrenzhile -at- gmail.com

I now work at Georgia Tech as a Postdoc under Dhruv Batra, Devi Parikh and Irfan Essa.

I got my PhD in Brown University working with Erik Sudderth in computer science department. 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.

CV (in PDF) | Google Scholar | PhD Research Statement (in PDF)


News

  • 2018.10.23: We released the state-of-the-art multi-frame optical flow algorithm (accepted at WACV2019) to arXiv
  • 2018.9.1: I moved to Atlanta and started working at Georgia Tech as a Postdoc
  • 2018.6.27: We provide a PyTorch implementation of the state-of-the-art optical flow estimation algorithm PWC-Net.
  • 2018.5.1: I defended my PhD thesis: Semantic Three-Dimensional Understanding of Dynamic Scenes

Research Projects

A Fusion Approach for Multi-Frame Optical Flow Estimation
Zhile Ren, Orazio Gallo, Deqing Sun, Ming-Hsuan Yang, Jan Kautz, Erik Sudderth
IEEE Winter Conference on Applications of Computer Vision (WACV 2019)

Nov 2019: MFF consistently ranks top-2 among published flow methods in KITTI and MPI Sintel
3D Object Detection 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)

Thesis

Semantic Three-Dimensional Understanding of Dynamic Scenes
Zhile Ren
Doctoral Thesis, Brown University, May 2018

Teaching

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

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


Miscellaneous

  • (Almost) Everyone calls me "Ren"
  • I review for TPAMI, TOG, TIP, CVIU, ICCV (2015/2017), CVPR (2016-19), ECCV (2016/2018), ACCV (2016/2018), BMVC (2017-18), ICLR (2019)
  • You can find me in social networks: Facebook LinkedIn Instagram Goodreads