Vicente

Computer Vision Reading Group

This semester we will start a Computer Vision seminar. The overall purpose of this seminar is to bring together people with interests in Computer Vision theory and techniques and to examine some current research papers. This seminar is organized by the students and collaborators of the UVA Vision, Language and Learning (VISLANG) research group. Any student who has some exposure to Computer Vision and Machine Learning should be able to follow the group.

The seminar will focus on topics related to the main research projects in Computer Vision in our group. These include work at the intersection of language and vision, computer vision for images on the web, general works on deep learning and machine learning methods that can be potentially applied to vision and language problems,methods for learning about sense of place, visual recognition of objects in complex environments, buidling systems that can recognize objects and places efficiently. Other topics will depend on the interests of the participants and new members of the reading group.

Schedule - Spring 2017 Meeting Bi-weekly on Wednesdays from 3pm to 4pm in Rice Hall 304
DatePresenter(s)Topic(s)
February, 1st Xuwang

Tianlu
Commonly Uncommon: Semantic Sparsity in Situation Recognition. Mark Yatskar, Vicente Ordonez, Luke Zettlemoyer, Ali Farhadi. arXiv:1612.00901. December 2016.

A Hierarchical Approach for Generating Descriptive Image Paragraphs. Jonathan Krause, Justin Johnson, Ranjay Krishna, Li Fei-Fei. arXiv:1611.06607. November 2016.
February, 15th Siva

Abhimanyu
Sequence to Sequence - Video to Text Subhashini Venugopalan, Marcus Rohrbach, Jeff Donahue, Ray Mooney, Trevor Darrell, Kate Saenko. ICCV 2015

March, 1st Xuwang

Tianlu
Generating Sequences With Recurrent Neural Networks. Alex Graves. arXiv:1308.0850

Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN). Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Zhiheng Huang, Alan Yuille. ICLR 2015.
March, 15th Everyone ICCV Review Session
March, 29th Siva

Abhimanyu
Zero-Shot Learning-The Good, the Bad and the Ugly. Xian, Yongqin, Bernt Schiele, and Zeynep Akata.. arXiv preprint arXiv:1703.04394 (2017).
April, 26th Siva Pointer networks. Vinyals, Oriol, Meire Fortunato, and Navdeep Jaitly. Advances in Neural Information Processing Systems. 2015.
Department of Computer Science @ The University of Virginia ‒ 85 Engineer's Way, Rice Hall, Charlottesville, VA 22904-4740