Best Papers
CSC 262 - Computer Vision - Weinman
1 Introduction
We will read and discuss in class one or two of the best papers from
the most recent top systems conferences. In this way, we'll be learning
together:
- How to read research papers
- About the latest in computer vision research
- What the community thinks is currently important
2 Candidates
Our candidates (listed in no particular order) are drawn from CVPR
2019, CVPR 2020, ECCV 2020, and ICCV 2019. See the list of papers
below and read their abstracts.
- A
Theory of Fermat Paths for Non-Line-Of-Sight Shape Reconstruction
Shumian Xin, Sotiris Nousias, Kiriakos N. Kutulakos, Aswin C. Sankaranarayanan,
Srinivasa G. Narasimhan, Ioannis Gkioulekas. (CVPR '19)
- Reinforced
Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language
Navigation. Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng
Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang. (CVPR
'19)
- Unsupervised
Learning of Probably Symmetric Deformable 3D Objects From Images in
the Wild. Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi. (CVPR
'20)
- BSP-Net:
Generating Compact Meshes via Binary Space Partitioning. Zhiqin
Chen, Andrea Tagliasacchi, Hao Zhang. (CVPR '20)
- SinGAN:
Learning a Generative Model From a Single Natural Image.Tamar Rott
Shaham, Tali Dekel, Tomer Michaeli. (ICCV '19)
- RAFT: Recurrent All-Pairs
Field Transforms for Optical Flow. Zachary Teed, Jia Deng. (ECCV
'20)
3 Voting
Please vote by emailing your TOP TWO choices (by number) to the instructor
by Wed Dec 9.
4 Responses
You will be required to submit a brief 225-275 word critical response
to the paper before class to help prepare you for the discussion.
In particular, you should note:
- What problem are they trying to solve?
- Why is the problem important?
- How does it currently get done and what are the limitations?
- What are the authors' goals?
- Does the paper have a scientific thesis? Is it falsifiable?
- What are the paper's claims?
- Are the claims substantiated (by theory or experiment)? If so, how?
- What are the limitations of the proposed approach?
- Are there ways to extend the method?
You should include at least two primary points that critique, dispute,
extend, or reinforce the paper. Submit your responses (in plain text
format only) via Gradescope; they are due at the beginnning of class
on the day of discussion.
Acknowledgments
The questions above are inspired by and adapted from the following
works.
Fong, Philip W.L., Reading a computer science research
paper, SIGCSE Bulletin 41, 2 (2009), pp. 138-140.
doi:10.1145/1595453.1595493
Keshav, S., How to read a paper, SIGCOMM
Computer Communication Review 37, 3 (2007), pp. 83-84. doi:dx.doi.org/10.1145/1273445.1273458
Jerod Weinman
Created 20 June 2008
Revised 1 December 2008
Revised 17 August 2012
Revised 7 August 2014
Revised 13 January 2015