Ragav Venkatesan
Ragav Venkatesan
Senior Software Engineer at Nvidia AI
Verified email at - Homepage
Cited by
Cited by
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
dsne: Domain adaptation using stochastic neighborhood embedding.
X Xu, X Zhou, R Venkatesan, G Swaminathan, O Majumder
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2492-2501, 2019
Convolutional Neural Networks in Visual Computing: A Concise Guide
R Venkatesan, B Li
CRC Press, Taylor and Francis Group 1, 226, 2017
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
A strategy for an uncompromising incremental learner
R Venkatesan, H Venkateswara, B Li, S Panchanathan
arXiv preprint arXiv:1705.00744 3 (6), 2017
Trending chic: Analyzing the influence of social media on fashion brands
L Manikonda, R Venkatesan, S Kambhampati, B Li
arXiv preprint arXiv:1512.01174, 2015
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
Diving deeper into mentee networks
R Venkatesan, B Li
arXiv preprint arXiv:1604.08220, 2016
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
On the generality of neural image features
R Venkatesan, V Gatupalli, B Li
IEEE International Conference on Image Processing, 2016
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
Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks
A MacLaughlin, J Dhamala, A Kumar, S Venkatapathy, R Venkatesan, ...
arXiv preprint arXiv:2010.04249, 2020
Video Deinterlacing with Control Grid Interpolation Frameworks
R Venkatesan, C Zwart, D Frakes
IEEE International Conference on Image Processing, 861-864, 2012
Out-of-the-box channel pruned networks
R Venkatesan, G Swaminathan, X Zhou, A Luo
arXiv preprint arXiv:2004.14584, 2020
Video-based Self-positioning for Intelligent Transportation Systems Applications
P Chandakkar, R Venkatesan, B Li
International Symposium on Visual Computing, 2014
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
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
Domain mapping for privacy preservation
R Venkatesan, G Swaminathan
US Patent 10,567,334, 2020
Novel Image Representations and Learning Tasks
R Venkatesan
Arizona State University, 2017
Reinforcement learning for training compression policies for machine learning models
G Swaminathan, R Venkatesan, X Zhou, R Luo, V Khare
US Patent 11,501,173, 2022
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