Attribute based cryptology

SUBHASHINI Venugopalan
M. Tech. Dissertation

7
2011
A Multi-scale Multiple Instance Video Description Network

Kate Saenko , Subhashini Venugopalan , Marcus Rohrbach , Vasili Ramanishka
arXiv: Computer Vision and Pattern Recognition

67
2015
Translating Videos to Natural Language Using Deep Recurrent Neural Networks

Kate Saenko , Subhashini Venugopalan , Jeff Donahue , Raymond Mooney
arXiv: Computer Vision and Pattern Recognition

1,064
2014
Integrating Language and Vision to Generate Natural Language Descriptions of Videos in the Wild

Kate Saenko , Subhashini Venugopalan , Raymond Mooney , Sergio Guadarrama
international conference on computational linguistics 1218 -1227

158
2014
On the Security of Attribute Based Signature Schemes.

Subhashini Venugopalan , S. Sharmila Deva Selvi , C. Pandu Rangan
IACR Cryptology ePrint Archive 2012 62

2012
Detecting Cancer Metastases on Gigapixel Pathology Images

Greg Corrado , Subhashini Venugopalan , Timo Kohlberger , Krishna Kumar Gadepalli
arXiv: Computer Vision and Pattern Recognition

639
2017
Sequence to Sequence -- Video to Text

Kate Saenko , Subhashini Venugopalan , Jeff Donahue , Raymond Mooney
arXiv: Computer Vision and Pattern Recognition

1,507
2015
Attribution in Scale and Space

Mukund Sundararajan , Subhashini Venugopalan , Shawn Xu
arXiv: Computer Vision and Pattern Recognition

38
2020
Detection of anaemia from retinal fundus images via deep learning

Greg S Corrado , Subhashini Venugopalan , Dale R Webster , Naama Hammel
Nature Biomedical Engineering 4 ( 1) 18 -27

107
2020
Semantic Text Summarization of Long Videos

Shagan Sah , Sourabh Kulhare , Allison Gray , Subhashini Venugopalan
2017 IEEE Winter Conference on Applications of Computer Vision (WACV) 989 -997

25
2017
Scientific Discovery by Generating Counterfactuals Using Image Translation.

Arunachalam Narayanaswamy , Subhashini Venugopalan , Dale R. Webster , Lily Peng
medical image computing and computer-assisted intervention 273 -283

2
2020
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

Varun Gulshan , Lily Peng , Marc Coram , Martin C. Stumpe
JAMA 316 ( 22) 2402 -2410

5,304
2016
People and entity retrieval in implicit social networks

Suman K Pathapati , Subhashini Venugopalan , Ashok Pon Kumar , Anuradha Bhamidipaty
2011 IEEE 5th International Conference on Internet Multimedia Systems Architecture and Application 1 -8

2
2011
Multimodal Video Description

Vasili Ramanishka , Abir Das , Dong Huk Park , Subhashini Venugopalan
acm multimedia 1092 -1096

133
2016
Batch equalization with a generative adversarial network.

Wesley Wei Qian , Cassandra Xia , Subhashini Venugopalan , Arunachalam Narayanaswamy
Bioinformatics 36

2
2020
Applying Deep Neural Network Analysis to High-Content Image-Based Assays.

Samuel J. Yang , Scott L. Lipnick , Nina R. Makhortova , Subhashini Venugopalan
SLAS DISCOVERY: Advancing the Science of Drug Discovery 24 ( 8) 829 -841

4
2019
Connecting Language and Vision: From Captioning towards Embodied Learning

Subhashini Venugopalan
1st International Workshop on Multimodal Understanding and Learning for Embodied Applications

2019
Captioning Images with Diverse Objects

Subhashini Venugopalan , Lisa Anne Hendricks , Marcus Rohrbach , Raymond Mooney
computer vision and pattern recognition 1170 -1178

101
2017
Topic based classification and pattern identification in patents

Subhashini Venugopalan , Varun Rai
Technological Forecasting and Social Change 94 ( 1) 236 -250

123
2015