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 2020 Meeting on Mondays from 12pm to 2pm in Rice Hall 504
DatePresenter(s)Topic(s)
February, 16 Tianlu


Lindsey

Don’t Judge an Object by Its Context: Learning to Overcome Contextual Bias. Krishna Kumar Singh, Dhruv Mahajan, Kristen Grauman, Yong Jae Lee, Matt Feiszli, Deepti Ghadiyaram. arXiv preprint arXiv:2001.03152, 2020.

Softmax Dissection: Towards Understanding Intra- and Inter-class Objective for Embedding Learning. Lanqing He, Zhongdao Wang, Yali Li, Shengjin Wang. AAAI-2020.

February, 10 Ziyan


Jeffrey

Visual Attention Consistency under Image Transforms for Multi-Label Image Classification. Hao Guo, Kang Zheng, Xiaochuan Fan, Hongkai Yu, Song Wang. CVPR 2019.

Data-Efficient Image Recognition with Contrastive Predictive Coding. Olivier J. Hénaff, Aravind Srinivas, Jeffrey De Fauw, Ali Razavi, Carl Doersch, S. M. Ali Eslami, Aaron van den Oord. arXiv preprint arXiv:1905.09272, 2019.

February, 3 Fuwen
DistInit: Learning Video Representations Without a Single Labeled Video. Rohit Girdhar, Du Tran, Lorenzo Torresani, Deva Ramanan. ICCV 2019.

January, 27 Tianlu


Leticia

Adjusting Decision Boundary for Class Imbalanced Learning. Byungju Kim, Junmo Kim. arXiv preprint arXiv:1912.01857, 2019.

SegSort: Segmentation by Discriminative Sorting of Segments. Jyh-Jing Hwang, Stella X. Yu, Jianbo Shi, Maxwell D. Collins, Tien-Ju Yang, Xiao Zhang, Liang-Chieh Chen. ICCV 2019.

January, 20 Ziyan


Paola

Interpreting CNNs via Decision Trees. Quanshi Zhang, Yu Yang, Haotian Ma, and Ying Nian Wu. CVPR 2019.

Deep High-Resolution Representation Learning for Human Pose Estimation. Ke Sun, Bin Xiao, Dong Liu, Jingdong Wang. CVPR 2019.

January, 13 Fuwen
Putting An End to End-to-End: Gradient-Isolated Learning of Representations. Sindy Löwe, Peter O’Connor, Bastiaan S. Veeling.
NeurIPS 2019.

Schedule - Fall 2019 Meeting on Mondays from 1pm to 2pm in Rice Hall 504
DatePresenter(s)Topic(s)
December, 9 Jeffrey
Momentum Contrast for Unsupervised Visual Representation Learning. Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross Girshick. Technical report.

December, 2 Paola
EENA: Efficient Evolution of Neural Architecture. Hui Zhu, Zhulin An, Chuanguang Yang, Kaiqiang Xu, Erhu Zhao, Yongjun Xu. ICCV 2019.

November, 25 Ziyan
Learning to Find Common Objects Across Few Image Collections. Amirreza Shaban, Amir Rahimi, Shray Bansal, Stephen Gould, Byron Boots, Richard Hartley. ICCV 2019.

November, 18 Tianlu
Multi-Label Image Recognition with Graph Convolutional Networks. Zhao-Min Chen, Xiu-Shen Wei, Peng Wang, Yanwen Guo. CVPR 2019.
Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition. Tianshui Chen, Muxin Xu, Xiaolu Hui, Hefeng Wu, Liang Lin. ICCV 2019.

November, 11 Fuwen
Decoupling Representation and Classifier for Long-Tailed Recognition. Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, Yannis Kalantidis. arXiv preprint arXiv:1910.09217. 2019.

November, 4 Debo
Meta-Learning : http://learn2learn.net/. Sébastien M.R. Arnold, Praateek Mahajan, Debajyoti Datta, Ian Bunner.

October, 28 Jeffrey
UNITER: Learning UNiversal Image-TExt Representations. Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy, Faisal Ahmed, Zhe Gan, Yu Cheng, Jingjing Liu. arXiv preprint arXiv:1909.11740. 2019.

October, 21 Paola
Select Via Proxy: Efficient Data Selection For Training Deep Networks. Cody Coleman, Stephen Mussmann, Baharan Mirzasoleiman, Peter Bailis, Percy Liang, Jure Leskovec, Matei Zaharia. arXiv preprint arXiv:1906.11829. 2019.

October, 14 Group
Current project status.

October, 7 Paola
Dataset Distillation Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba, Alexei A. Efros. arXiv preprint arXiv:1811.10959 (2019).

September, 30 Ziyan
WSOD2: Learning Bottom-up and Top-down Objectness Distillation for Weakly-supervised Object Detection. Zhaoyang Zeng, Bei Liu, Jianlong Fu, Hongyang Chao, Lei Zhang. ICCV 2019.

September, 23 Fuwen
YOLACT: Real-time Instance Segmentation. Daniel Bolya, Chong Zhou, Fanyi Xiao, Yong Jae Lee. arXiv preprint arXiv:1904.02689 (2019).

September, 16 Jeffrey
Bert: Pre-training of deep bidirectional transformers for language understanding. Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova. NAACL 2019.

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