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
2017, CVPR 2018, ECCV 2018, and ICCV 2017. See the list of papers
below and read their abstracts.
- Densely
Connected Convolutional Networks Gao Huang, Zhuang Liu, Laurens
van der Maaten, & Kilian Q. Weinberger. (CVPR '17)
- Learning
from Simulated and Unsupervised Images through Adversarial Training.
Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Joshua Susskind, Wenda
Wang, & Russell Webb . (CVPR '17)
- Taskonomy:
Disentangling Task Transfer Learning. Amir R. Zamir, Alexander Sax,
William Shen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese.
(CVPR '18)
- Mask
R-CNN. Kaiming He, Georgia Gkioxari, Piotr Dollar, Ross Girshick.
(ICCV '17)
- Implicit
3D Orientation Learning for 6D Object Detection from RGB Images.
Martin Sundermeyer, Zoltan-Csaba Marton, Maximilian Durner, Manuel
Brucker, Rudolph Triebel. (ECCV '18)
3 Voting
Please vote by emailing your TOP TWO choices (by number) to the instructor
by Friday May 3.
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 PDF format
only) via P-Web; 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