Ragav Venkatesan
Ragav Venkatesan
Applied Scientist at Alexa AI
Verified email at ragav.net - Homepage
Title
Cited by
Cited by
Year
Feature Extraction and Learning for Visual Data
PS Chandakkar, R Venkatesan, B Li, G Dong, Liu, Huang
Feature Engineering for Machine Learning and Data Analytics, 55-85, 2018
43*2018
Classification of Diabetic Retinopathy Images Using Multi-Class Multiple-Instance Learning Based on Color Correlogram Features
R Venkatesan, P Chandakkar, B Li, HK Li
IEEE Annual Conference on Engineering in Medicine and Biology, 1462-1465, 2012
392012
A strategy for an uncompromising incremental learner
R Venkatesan, H Venkateswara, B Li, S Panchanathan
arXiv preprint arXiv:1705.00744 3 (6), 2017
25*2017
Evolution of fashion brands on Twitter and Instagram
L Manikonda, R Venkatesan, S Kambhampati, B Li
arXiv preprint arXiv:1512.01174 v1 [cs. SI], 2015
25*2015
Convolutional Neural Networks in Visual Computing: A Concise Guide
R Venkatesan, B Li
CRC Press, Taylor and Francis Group 1, 226, 2017
232017
dSNE: Domain Adaptation using Stochastic Neighborhood Embedding
X Xu, X Zhou, R Venkatesan, G Swaminathan, O Majumder
IEEE Conference on Computer Vision and Pattern Recognition, 2019
152019
Simpler non-parametric methods provide as good or better results to multiple-instance learning.
R Venkatesan, P Chandakkar, B Li
IEEE International Conference on Computer Vision, 2015
142015
Diving deeper into mentee networks
R Venkatesan, B Li
arXiv preprint arXiv:1604.08220, 2016
132016
Retrieving clinically relevant diabetic retinopathy images using a multi-class multiple-instance framework
PS Chandakkar, R Venkatesan, B Li
SPIE Conference on Medical Imaging, 86700Q--86700Q, 2013
112013
On the generality of neural image features
R Venkatesan, V Gatupalli, B Li
IEEE International Conference on Image Processing, 2016
7*2016
Video Deinterlacing with Control Grid Interpolation Frameworks
R Venkatesan, C Zwart, D Frakes
IEEE International Conference on Image Processing, 861-864, 2012
32012
MIRank-KNN: multiple-instance retrieval of clinically relevant diabetic retinopathy images
PS Chandakkar, R Venkatesan, B Li
Journal of Medical Imaging 4 (3), 034003, 2017
22017
A machine-learning approach to retrieving diabetic retinopathy images
PS Chandakkar, R Venkatesan, B Li, HK Li
Proceedings of the ACM Conference on Bioinformatics, Computational Biology …, 2012
22012
Video-based Self-positioning for Intelligent Transportation Systems Applications
P Chandakkar, R Venkatesan, B Li
International Symposium on Visual Computing, 2014
12014
Decomposed multidimensional control grid interpolation for common consumer electronic image processing applications
CM Zwart, R Venkatesan, DH Frakes
Journal of Electronic Imaging 21 (4), 043012-043012, 2012
12012
Out-of-the-box channel pruned networks
R Venkatesan, G Swaminathan, X Zhou, A Luo
arXiv preprint arXiv:2004.14584, 2020
2020
Domain mapping for privacy preservation
R Venkatesan, G Swaminathan
US Patent 10,567,334, 2020
2020
d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding
X Zhou, X Xu, R Venkatesan, G Swaminathan, H Venkateswara, ...
Domain Adaptation in Computer Vision with Deep Learning, 2020
2020
卷 积神 经 网 络 与 视觉 计 算
R Venkatesan, B Li
2019
Spatiotemporal video deinterlacing using control grid interpolation
R Venkatesan, C Zwart, D Frakes, B Li
Journal of Electronic Imaging 24 (2), 043012-043012, 2015
2015
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