Time: Wednesday 11 AM - 12:00 PM
Location: Whittmore Hall 457B
| Date | Presenter | Topic |
|---|---|---|
| 08/23 | "Pieter Abbeel" | Deep Reinforecement Learning (link) (slide) |
| 08/30 | Jinwoo Choi | [Sigurdsson et al. ICCV 2017] What Actions Are Needed For Understanding Human Actions In Videos? (slide) |
| 09/06 | Chen Gao | [Gkioxari et al. arXiv 2017] Detecting and Recognizing Human-Object Interactions (slide) |
| 09/13 | Sanket Lokegaonkar | Lifelong Learning [Li et al. ECCV 2016] [Zenke et al. arXiv 2017] [Kirkpatrick et al. arXiv 2016] (slide) |
| 09/20 | Yuliang Zou | Alternative Generative Models [Chen and Koltun ICCV 2017] [Bansal et al. arXiv 2017] (slide) |
| 09/21 | "Fei-Fei Li" | ImageNet: Where Have We Been? Where Are We Going? (link) |
| 09/27 | Subhashree Radhakrishnan | Localization via Language Query [Gao et al. arXiv 2017] [Hendricks et al. arXiv 2017] (slide) |
| 10/04 | You Lu | Variational Autoencoder [Kingma and Welling ICLR 2014] [Srivastava and Sutton ICLR 2017] (slide) |
| 10/11 | Yufeng Ma | [Koh and Liang ICML 2017] Understanding Black-box Predictions via Influence Functions (slide) |
| 10/18 | Sirui Yao | [He et al. RecSys 2017] Translation-based Recommendation (slide) |
| 10/25 | Jinwoo Choi | [Kalogeiton et al. ICCV 2017] Action Tubelet Detector for Spatio-Temporal Action Localization (slide) |
| 11/01 | Chen Gao | Robust PCA in Computer Vision [Cand`es et al. Journal of the ACM 2011] [Gao et al. GlobalSIP 2017] |
| 11/08 | - | No meeting - CVPR 2018 |
| 11/15 | - | No meeting - CVPR 2018 |
| 11/22 | - | No meeting - Thanksgiving |
| 11/29 | Vision and Learning Lab | NIPS 2017 Paper Preview |
| 12/06 | - | No meeting - NIPS 2017 |
We use Google Groups to manage the mailing list: (link). You can click "Join Group" when you sign in with your Virginia Tech account.
- Jinwoo Choi
- Chen Gao
- Sanket Lokegaonkar
- Subhashree Radhakrishnan
- Yuliang Zou
- You Lu
- Sirui Yao
- Yufeng Ma
- Qing Sun
- 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 (ylzou -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 (ylzou -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) 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.