Attribution in Scale and Space

Apr 08, 2020
Shawn Xu, Subhashini Venugopalan, Mukund Sundararajan

* CVPR 2020 camera-ready. Code is available at https://github.com/PAIR-code/saliency 

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It's easy to fool yourself: Case studies on identifying bias and confounding in bio-medical datasets

Dec 12, 2019
Subhashini Venugopalan, Arunachalam Narayanaswamy, Samuel Yang, Anton Gerashcenko, Scott Lipnick, Nina Makhortova, James Hawrot, Christine Marques, Joao Pereira, Michael Brenner, Lee Rubin, Brian Wainger, Marc Berndl

* Accepted at Neurips 2019 LMRL workshop -- extended abstract track 

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Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning

Oct 18, 2018
Avinash Varadarajan, Pinal Bavishi, Paisan Raumviboonsuk, Peranut Chotcomwongse, Subhashini Venugopalan, Arunachalam Narayanaswamy, Jorge Cuadros, Kuniyoshi Kanai, George Bresnick, Mongkol Tadarati, Sukhum Silpa-archa, Jirawut Limwattanayingyong, Variya Nganthavee, Joe Ledsam, Pearse A Keane, Greg S Corrado, Lily Peng, Dale R Webster


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Captioning Images with Diverse Objects

Jul 20, 2017
Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Raymond Mooney, Trevor Darrell, Kate Saenko

* CVPR 2017 Camera ready version. 17 pages (8 + 9 supplement), 12 figures, 8 tables. Includes project page http://vsubhashini.github.io/noc.html 

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Detecting Cancer Metastases on Gigapixel Pathology Images

Mar 08, 2017
Yun Liu, Krishna Gadepalli, Mohammad Norouzi, George E. Dahl, Timo Kohlberger, Aleksey Boyko, Subhashini Venugopalan, Aleksei Timofeev, Philip Q. Nelson, Greg S. Corrado, Jason D. Hipp, Lily Peng, Martin C. Stumpe

* Fig 1: normal and tumor patches were accidentally reversed - now fixed. Minor grammatical corrections in appendix, section "Image Color Normalization" 

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Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text

Nov 29, 2016
Subhashini Venugopalan, Lisa Anne Hendricks, Raymond Mooney, Kate Saenko

* Proc.EMNLP (2016) pg.1961-1966 
* Accepted at EMNLP 2016. Project page: http://vsubhashini.github.io/language_fusion.html 

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Utilizing Large Scale Vision and Text Datasets for Image Segmentation from Referring Expressions

Aug 30, 2016
Ronghang Hu, Marcus Rohrbach, Subhashini Venugopalan, Trevor Darrell


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Long-term Recurrent Convolutional Networks for Visual Recognition and Description

May 31, 2016
Jeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, Subhashini Venugopalan, Sergio Guadarrama, Kate Saenko, Trevor Darrell

* Originally presented at CVPR 2015 (oral). Updated version (accepted as a TPAMI journal article) includes additional results 

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Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data

Apr 27, 2016
Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach, Raymond Mooney, Kate Saenko, Trevor Darrell


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A Multi-scale Multiple Instance Video Description Network

Mar 19, 2016
Huijuan Xu, Subhashini Venugopalan, Vasili Ramanishka, Marcus Rohrbach, Kate Saenko

* ICCV15 workshop on Closing the Loop Between Vision and Language 

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Sequence to Sequence -- Video to Text

Oct 19, 2015
Subhashini Venugopalan, Marcus Rohrbach, Jeff Donahue, Raymond Mooney, Trevor Darrell, Kate Saenko

* ICCV 2015 camera-ready. Includes code, project page and LSMDC challenge results 

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Translating Videos to Natural Language Using Deep Recurrent Neural Networks

Apr 30, 2015
Subhashini Venugopalan, Huijuan Xu, Jeff Donahue, Marcus Rohrbach, Raymond Mooney, Kate Saenko

* NAACL-HLT 2015 camera ready 

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