Virginia Tech Computer Vision and Machine Learning Reading Group
Usual Time: Fridays at 5:00PM
Usual Location: Whittemore Hall 654

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Announcements

  • Once the semester begins, we will be starting up again.
  • 2014 Schedule

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    Date Location Presenter Description
    2014-01-24 Whittemore Hall 654 Ujwal Krothapalli Structured Forests for Fast Edge Detection. [Supp. Material]
    P. Dollar, C.L. Zitnick. ICCV 2013.
    2014-01-31 Whittemore Hall 654 Peng Zhang Predicting Sufficient Annotation Strength for Interactive Foreground Segmentation. [Supp. Material] [Project Page]
    S. Jain, K. Grauman. ICCV 2013.
    2014-02-07 Whittemore Hall 654 Michael Cogswell Main Paper
    DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition.
    J. Donahue, Y. Jia, O. Vinyals, J. Hoffman, N. Zhang, E. Tzeng, T. Darrel. arXiv 2013.
    Background Paper
    ImageNet Classification with Deep Convolutional Neural Networks.
    A. Krizhevsky, I Sutskever, G.E. Hinton. NIPS 2012.
    2014-02-14 N/A N/A Meeting canceled due to school closing (i.e., snow day).
    2014-02-21 Whittemore Hall 654 Prakriti Banik Beyond Hard Negative Mining: Efficient Detector Learning via Block-Circulant Decomposition.
    J.F. Henriques, J. Carreira, R. Caseiro, J. Batista. ICCV 2013.
    2014-02-28 Whittemore Hall 654 Abhijit Sarkar HOGgles: Visualizing Object Detection Features.
    C. Vondrick, A. Khosla, T. Malisiewicz, A. Torralba. ICCV 2013.
    2014-03-07 N/A N/A No meeting: ECCV Deadline - too many members will be exhausted.
    2014-03-14 N/A N/A Spring Break - no meeting
    2014-03-21 Whittemore Hall 654 Stanislaw Antol Style-aware Mid-level Representation for Discovering Visual Connections in Space and Time. [Supp. Material] [Project Page]
    Y. J. Lee, A. A. Efros, M. Hebert. ICCV 2013.
    2014-03-28 Whittemore Hall 654 Neelima Chavali Main Paper
    NEIL: Extracting Visual Knowledge from Web Data.
    X. Chen, A. Shrivastava, A. Gupta. ICCV 2013.
    Background Paper
    Toward an Architecture for Never-Ending Language Learning.
    A. Carlson, J. Betteridge, B. Kisiel, B. Settles, E. Hruschka Jr., T. Mitchell. AAAI 2010.
    2014-04-04 Whittemore Hall 654 Xiao Lin Write a Classifier: Zero Shot Learning Using Purely Text Descriptions.
    M. Elhoseiny, B. Saleh, A. Elgammal. ICCV 2013.
    2014-04-11 Whittemore Hall 654 Several Instead of normal paper-based discussion, Qing, Rama, Stan, and Xiao will be practicing their presentations for MACV 2014.
    2014-04-18 N/A N/A No meeting. We encourage you to attend the (all-day) Mid-Atlantic Computer Vision workshop.
    2014-04-25 Whittemore Hall 654 Shrenik Lad Constrained Semi-Supervised Learning using Attributes and Comparative Attributes. [Project Page]
    A. Shrivastava, S. Singh, A. Gupta. ECCV 2012.
    2014-05-02 Whittemore Hall 654 Gordon Christie Holistic Scene Understanding for 3D Object Detection with RGBD Cameras.
    D. Lin, S. Fidler, R. Urtasun. ICCV 2013.
    2014-05-09 Whittemore Hall 654 Qing Sun TBD
    TBD (2014-05-16?) TBD Sherin Aly TBD

    Suggested Papers

    Below we have included some papers/pointers for people that are not able to find something that they would like to share.

    You can check out what some other reading groups at other universities are reading (see Related Links).
    There are still undiscussed papers from last year's suggested papers list.
    Tomasz Malisiewicz has some interesting ICCV 2013 paper recommendations on his blog.
    Piotr Dollar discusses recent object proposal methods with a lot of good papers mentioned in this blogpost.
    Techtalks has some oral presentations from conferences, e.g., ICCV 2013.

  • Write a Classifier: Zero Shot Learning Using Purely Text Descriptions. M. Elhoseiny, B. Saleh, A. Elgammal. ICCV 2013.
  • Mechanical Turk is Not Anonymous. M. Lease, J. Hullman, J.P. Bigham, M. Bernstein, J. Kim, W. Lasecki, S. Bakhshi, T. Mitra, R. Miller. SSRN 2013.
  • Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks. I.J. Goodfellow, Y. Bulatov, J. Ibarz, S. Arnoud, V. Shet. arXiv.
  • From Large Scale Image Categorization to Entry-Level Categories. V. Ordonez, J. Deng, Y. Choi, A.C. Berg, T.L. Berg. ICCV 2013.
  • Beyond Hard Negative Mining: Efficient Detector Learning via Block-Circulant Decomposition. J.F. Henriques, J. Carreira, R. Caseiro, J. Batista. ICCV 2013.
  • Holistic Scene Understanding for 3D Object Detection with RGBD Cameras. D. Lin, S. Fidler, R. Urtasun. ICCV 2013.
  • NEIL: Extracting Visual Knowledge from Web Data. X. Chen, A. Shrivastava, A. Gupta. ICCV 2013.
  • HOGgles: Visualizing Object Detection Features. C. Vondrick, A. Khosla, T. Malisiewicz, A. Torralba. ICCV 2013.
  • Lifting 3D Manhattan Lines from a Single Image. S. Ramalingam, M. Brand. ICCV 2013.
  • Active MAP Inference in CRFs for Efficient Semantic Segmentation. G. Roig, X. Boix, S. Ramos, R. de Nijs, L. Van Gool. ICCV 2013.
  • Weighted Sums of Random Kitchen Sinks: Replacing Minimization with Randomization in Learning. A. Rahimi, B. Recht. NIPS 2008.
  • Nearest Neighbor-based Label Transfer for Weakly Supervised Multiclass Video Segmentation. X. Liu, D. Tao, M. Song, Y. Ruan, C. Chen, J. Bu. CVPR 2014.
  • Meetings in Previous Years

    Related Links

    FAQ

    1. How is the presenters' order generated?
    The presenters' order is generated from the presenters' list in a FIFO manner (but the list is initially generated randomly).

    2. Who is responsible if I can not present at the scheduled time?
    Yourself.

    3. What should I do if I can not present at the scheduled time?
    As early as possible, let the group organizer know about your situation. Also contact other presenters to see if they are willing to swap dates with you.

    4. What if I have more questions about the discussion papers?
    We have a Google Group Forum for encouraging further discussion.

    5. I have a question not listed here...
    Then ask!

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