VT Computer Vision and Machine Learning Reading Group
Usual Time: Fridays, 5:00PM - 6:30PM
Usual Location: Whittemore Hall 654

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Image of CVMLRG members.


  • On 2015-02-13 (Friday), Katerina Fragkiadaki, a post-doc at Berkeley, will be giving a talk about her research on parsing videos in Kelly Hall 310 at 10:30AM.
  • On 2015-02-11 (Wednesday), Kurt Luther will be giving a talk about his research on social computing in Whittemore 654 at 5:45PM.
  • On 2015-02-05 (Thursday), Larry Zitnick will be giving a talk, titled "Commonsense, Vision and Language," in Kelly Hall (i.e., ICTAS) 310 at 2:00PM.
  • For the Spring semester (starting January 30th), we will be meeting at 5PM in Whittemore Hall 654 (Conference Room).
  • 2015 Schedule

    Jump to next talk
    (the highlighted row)

    Date Location Presenter Description
    2015-01-30 Whittemore Hall 654 Peng Zhang Knowing a Good HOG Filter When You See It: Efficient Selection of Filters for Detection.
    E. Ahmed, G. Shakhnarovich, S. Maji. ECCV 2014.
    2015-02-06 Whittemore Hall 654 Shrenik Lad Face Detection without Bells and Whistles.
    M. Mathias, R. Benenson, M. Pedersoli, L. Van Gool. ECCV 2014.
    2015-02-13 Whittemore Hall 654 Rama Vedantam A brief review of recent advances in image captions, based on the following (read the first one if you only have time for one):
    Learning a Recurrent Visual Representation for Image Caption Generation.
    X. Chen, C.L. Zitnick. arXiv 2014.
    Long-term Recurrent Convolutional Networks for Visual Recognition and Description.
    J. Donahue, L.A. Hendricks, S. Guadarrama, M. Rohrbach, S. Venugopalan, K. Saenko, T. Darrell. arXiv 2014.
    Show and Tell: A Neural Image Caption Generator.
    O. Vinyals, A. Toshev, S. Bengio, D. Erhan. arXiv 2014.
    Deep Visual-Semantic Alignments for Generating Image Description.
    A. Karpathy, L. Fei-Fei. arXiv 2014.
    Translating Videos to Natural Language Using Deep Recurrent Neural Networks.
    S. Venugopalan, H. Xu, J. Donahue, M. Rohrbach, R. Mooney, K. Saenko. arXiv 2014.
    From Captions to Visual Concepts and Back.
    H. Fang, S. Gupta, F. Iandola, R. Srivastava, L. Deng, P. Dollar, J. Gao, X. He, M. Mitchell, J.C. Platt, C.L. Zitnick, G. Zweig. arXiv 2014.
    2015-02-20 Whittemore Hall 654 Prakriti Banik An Active Search Strategy for Efficient Object Detection.
    A. Gonzalez-Garcia, A. Vezhnevets, V. Ferrari. arXiv 2014.
    2015-02-27 Whittemore Hall 654 Gordon Christie Main Paper
    Unfolding an Indoor Origami World. [Project Page]
    D. Fouhey, A. Gupta, M. Hebert. ECCV 2014.
    Background Paper
    Data-Driven 3D Primitives for Single Image Understanding. [Project Page]
    D. Fouhey, A. Gupta, M. Hebert. ICCV 2013.
    2015-03-06 N/A N/A No meeting because of MACV 2015 at UNC.
    2015-03-13 N/A N/A No meeting because of Spring Break.
    2015-03-20 Whittemore Hall 654 Qing Sun TBD
    2015-03-27 Whittemore Hall 654 Michael Cogswell TBD
    2015-04-03 Whittemore Hall 654 Clint Solomon TBD
    2015-04-10 N/A N/A No meeting because of the ICCV 2015 deadline.
    2015-04-17 N/A N/A No meeting because of the ICCV 2015 deadline.
    2015-04-24 Whittemore Hall 654 Harsh Agrawal TBD
    2015-05-01 Whittemore Hall 654 Faruk Ahmed TBD
    2015-05-08 Whittemore Hall 654 Tanmay Batra TBD
    2015-05-15 Whittemore Hall 654 Senthil Purushwalkam 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).
    TechTalks has some oral presentations from conferences, e.g., ICML 2014, CVPR 2014.
    VideoLectures also has some oral presentations from conferences, e.g., ECCV 2014.

  • 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.
  • 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.
  • Decorrelating Semantic Visual Attributes by Resisting the Urge to Share. D. Jayaraman, F. Sha, K. Grauman. CVPR 2014.
  • Fine-Grained Visual Comparisons with Local Learning. A. Yu, K. Grauman. CVPR 2014.
  • Beyond Comparing Image Pairs: Setwise Active Learning for Relative Attributes. L. Liang, K. Grauman. CVPR 2014.
  • Microsoft COCO: Common Objects in Context. T.Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollar, C.L. Zitnick. arXiv 2014.
  • Associative Embeddings for Large-scale Knowledge Transfer with Self-assessment. A. Vezhnevets, V. Ferrari. CVPR 2014.
  • Learning Everything about Anything: Webly-Supervised Visual Concept Learning. S.K. Divvala, A. Farhadi, C. Guestrin. CVPR 2014.
  • Reasoning About Object Affordances in a Knowledge Base Representation. Y. Zhu, A. Fathi, and L. Fei-Fei. ECCV 2014.
  • Part-Pair Representation for Part Localization. J. Liu, Y. Li, P.N. Belhumeur. ECCV 2014.
  • ReferItGame: Referring to Objects in Photographs of Natural Scenes. S. Kazemzadeh, V. Ordonez, M. Matten, T. Berg. EMNLP 2014.
  • Meetings in Previous Years

    Related Links


    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?

    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!