Ragav Venkatesan

According to our database, Ragav Venkatesan authored at least 17 papers between 2012 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Out-of-the-box channel pruned networks.

Ragav Venkatesan, Gurumurthy Swaminathan, Xiong Zhou, Anna Luo

CoRR, 2020

Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks.

Ansel MacLaughlin, Jwala Dhamala, Anoop Kumar, Sriram Venkatapathy, Ragav Venkatesan, Rahul Gupta

Proceedings of the First Workshop on Insights from Negative Results in NLP, 2020

2019

d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding.

Xiang Xu, Xiong Zhou, Ragav Venkatesan, Gurumurthy Swaminathan, Orchid Majumder

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017

A Strategy for an Uncompromising Incremental Learner.

Ragav Venkatesan, Hemanth Venkateswara, Sethuraman Panchanathan, Baoxin Li

CoRR, 2017

Classification of Diabetic Retinopathy Images Using Multi-Class Multiple-Instance Learning Based on Color Correlogram Features.

Ragav Venkatesan, Parag S. Chandakkar, Baoxin Li

CoRR, 2017

2016

Diving deeper into mentee networks.

Ragav Venkatesan, Baoxin Li

CoRR, 2016

Neural Dataset Generality.

Ragav Venkatesan, Vijetha Gattupalli, Baoxin Li

CoRR, 2016

On the generality of neural image features.

Ragav Venkatesan, Vijetha Gattupalli, Baoxin Li

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

Spatiotemporal video deinterlacing using control grid interpolation.

Ragav Venkatesan, Christine M. Zwart, David H. Frakes, Baoxin Li

J. Electronic Imaging, 2015

Evolution of fashion brands on Twitter and Instagram.

Lydia Manikonda, Ragav Venkatesan, Subbarao Kambhampati, Baoxin Li

CoRR, 2015

Simpler Non-Parametric Methods Provide as Good or Better Results to Multiple-Instance Learning.

Ragav Venkatesan, Parag Shridhar Chandakkar, Baoxin Li

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Video-Based Self-positioning for Intelligent Transportation Systems Applications.

Parag S. Chandakkar, Ragav Venkatesan, Baoxin Li

Proceedings of the Advances in Visual Computing - 10th International Symposium, 2014

2013

Retrieving clinically relevant diabetic retinopathy images using a multi-class multiple-instance framework.

Parag S. Chandakkar, Ragav Venkatesan, Baoxin Li

Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

2012

Decomposed multidimensional control grid interpolation for common consumer electronic image processing applications.

Christine M. Zwart, Ragav Venkatesan, David H. Frakes

J. Electronic Imaging, 2012

Video deinterlacing with control grid interpolation.

Ragav Venkatesan, Christine M. Zwart, David H. Frakes

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Classification of diabetic retinopathy images using multi-class multiple-instance learning based on color correlogram features.

Ragav Venkatesan, Parag S. Chandakkar, Baoxin Li, Helen K. Li

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

A machine-learning approach to retrieving diabetic retinopathy images.

Parag S. Chandakkar, Ragav Venkatesan, Baoxin Li, Helen K. Li

Proceedings of the ACM International Conference on Bioinformatics, 2012