Time
- Reading Group: Friday 11AM - 12PM, On Zoom (link sent in weekly email)
- Current Schedule (Spring 2020)
- Previous Meetings
- Mailing List
- Presenter
- Related Links
- FAQ
- About Us
- Suggested Papers
Please let Joseph know what paper you are going to present and your summary by the end of the Monday before your presentation.
Date | Presenter | Topic |
---|---|---|
01/31 | - | No meeting |
02/07 | Esther Robb | Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation [Xu et al, ICCV 2019] [slides] |
02/14 | Jinwoo Choi | Mimetics: Towards Understanding Human Actions Out of Context [Weinzaepfel and Rogez] [slides] |
02/21 | Jiarui Xu | Tell Me What They're Holding: Weakly-supervised Object Detection with Transferable Knowledge from Human-object Interaction [Kim et al, AAAI 2020] [slides] |
02/28 | - | No meeting - ECCV 2020 |
03/06 | - | No meeting - ECCV 2020 |
03/13 | - | No meeting - Spring Break |
03/20 | - | No meeting - Spring Break |
03/27 | Yuliang Zou | Unbiased Scene Graph Generation from Biased Training [Tang et al. CVPR 2020 Oral] [slides] |
04/03 | Shih-Yang Su | TBD |
04/10 | Joseph Messou | TBD |
04/17 | Si Chen | TBD |
04/24 | Lowell Weissman | TBD |
05/01 | Chen Gao | TBD |
05/08 | Badour AlBahar | TBD |
We use Google Groups to manage the mailing list: (link). You can click "Join Group" when you sign in with your Virginia Tech account.
Please let Joseph know what paper you are going to present and your summary by the end of the Monday before your presentation. Also, please send your slides or a link to them to Joseph once you finish preparing them.
- Badour AlBahar
- Si Chen
- Jinwoo Choi
- Chen Gao
- Xiaolong Li
- Joseph Messou
- Esther Robb
- Shih-Yang Su
- Lowell Weissman
- Jiarui Xu
- Yuliang Zou
Please contact Joseph (mejc2014 -at- vt.edu) if you want to be a presenter this semester!
- MIT Vision Seminars
- UIUC Vision Lunch
- UT-Austin CV Reading Group
- CMU VASC Seminar Series
- CMU ML Reading Group
- Advanced Computer Vision (Jia-Bin Huang, Virginia Tech)
- Object and Activity Recognition Seminar (Trevor Darrell, UC Berkeley)
- Visual Learning and Recognition (Abhinav Gupta, CMU)
- Visual Recognition (Kristen Grauman, UT Austin)
- Advanced Computer Vision (Devi Parikh, Georgia Tech)
- Cutting-Edge Trends in Deep Learning and Recognition (Svetlana Lazebnik, UIUC)
The presenters' order is generated from the presenters' list in a FIFO manner (but the list is initially generated randomly).
Yourself.
As early as possible, let the group organizer (mejc2014 -at- vt.edu) know about your situation. Also contact other presenters to see if they are willing to swap dates with you.
Then ask by sending an e-mail to the mailing list (vt-vision-and-learning-reading-group-g -at- vt.edu).
We are a group that meets about once a week to discuss one to three relevant papers. For every meeting, one person will be in charge of selecting the paper(s) for that meeting, thoroughly understanding the work, and leading the discussion (either informally or via a presentation, whatever the leader thinks is best). The rest of the members will read over the paper(s) beforehand to gain a basic idea of the work. Then, on the day of the meeting, we will discuss the strengths, weaknesses, and techniques of the paper(s).
NOTE: Please tell the group organizer (mejc2014 -at- vt.edu) which paper(s) you are going to present, and summarize the paper/talk in several sentences, before Monday of that week.
We will be reading papers appearing in the leading computer vision conferences (e.g., CVPR, ICCV, ECCV, SIGGRAPH, SIGGRAPH Asia) and machine learning conferences (e.g., NIPS, ICML, ICLR, UAI, AAAI, IJCAI, AISTATS). Members are free to choose which paper(s) they will present (we can also provide suggestions), thus the specific topics will vary based on the members' interests.
We are open to everyone who is interested, whether you are an undergrad, a grad student, or VT staff, regardless of department. Anyone else in the Blacksburg area is also welcome. As long as you are interested in learning more about the fields (by reading cutting-edge research papers), you are welcome to join.
We maintain a pool of suggested papers here.
Credits: The contents and formats were modified from VT CVMLP Reading Group.