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Parag S. Chandakkar
Parag S. Chandakkar
Machine Learning Engineer, Argo AI
Verified email at argo.ai - Homepage
Title
Cited by
Cited by
Year
Feature Extraction and Learning for Visual Data
PS Chandakkar, R Venkatesan, B Li
Feature Engineering for Machine Learning and Data Analytics, 55-85, 2018
333*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
62*
Strategies for re-training a pruned neural network in an edge computing paradigm
PS Chandakkar, Y Li, PLK Ding, B Li
2017 IEEE International Conference on Edge Computing (EDGE), 244-247, 2017
472017
Simpler non-parametric methods provide as good or better results to multiple-instance learning
R Venkatesan, P Chandakkar, B Li
Proceedings of the IEEE International Conference on Computer Vision, 2605-2613, 2015
262015
Retrieving clinically relevant diabetic retinopathy images using a multi-class multiple-instance framework
PS Chandakkar, R Venkatesan, B Li
Medical Imaging 2013: Computer-Aided Diagnosis 8670, 182-191, 2013
162013
Supporting navigation of outdoor shopping complexes for visuallyimpaired users through multi-modal data fusion
A Paladugu, PS Chandakkar, P Zhang, B Li
2013 IEEE International Conference on Multimedia and Expo (ICME), 1-7, 2013
102013
A computational approach to relative aesthetics
V Gattupalli, PS Chandakkar, B Li
2016 23rd International Conference on Pattern Recognition (ICPR), 2446-2451, 2016
8*2016
Distributed learning of deep feature embeddings for visual recognition tasks
B Bhattacharjee, ML Hill, H Wu, PS Chandakkar, JR Smith, MN Wegman
IBM Journal of Research and Development 61 (4/5), 4: 1-4: 8, 2017
72017
MIRank-KNN: multiple-instance retrieval of clinically relevant diabetic retinopathy images
PS Chandakkar, R Venkatesan, B Li
Journal of Medical Imaging 4 (3), 034003-034003, 2017
62017
Improving vision-based self-positioning in intelligent transportation systems via integrated lane and vehicle detection
PS Chandakkar, Y Wang, B Li
2015 IEEE Winter Conference on Applications of Computer Vision, 404-411, 2015
62015
Joint Regression and Ranking for Image Enhancement
PS Chandakkar, B Li
IEEE Winter Conference on Applications of Computer Vision (WACV), 235-243, 2017
42017
A structured approach to predicting image enhancement parameters
PS Chandakkar, B Li
2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-9, 2016
42016
Investigating human factors in image forgery detection
PS Chandakkar, B Li
Proceedings of the 1st ACM International Workshop on Human Centered Event …, 2014
42014
Relative learning from web images for content-adaptive enhancement
PS Chandakkar, Q Tian, B Li
2015 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2015
32015
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
32012
Training optimization for neural networks with batch norm layers
B Bhattacharjee, P Chandakkar, JR Smith
US Patent App. 16/270,697, 2020
22020
Capturing Localized Image Artifacts through a CNN-based Hyper-image Representation
PS Chandakkar, B Li
arXiv preprint arXiv:1711.04945, 2017
2017
Systems and methods for a content-adaptive photo-enhancement recommender
B Li, PS Chandakkar, Q Tian
US Patent 9,576,343, 2017
2017
Towards Learning Representations in Visual Computing Tasks
PS Chandakkar
Arizona State University, 2017
2017
Video-Based Self-positioning for Intelligent Transportation Systems Applications
PS Chandakkar, R Venkatesan, B Li
Advances in Visual Computing, 718-729, 2014
2014
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