Parag S. Chandakkar

According to our database, Parag S. Chandakkar authored at least 17 papers between 2012 and 2017.

Collaborative distances:

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

2017

Towards Learning Representations in Visual Computing Tasks.

Parag Shridhar Chandakkar

PhD thesis, 2017

Capturing Localized Image Artifacts through a CNN-based Hyper-image Representation.

Parag Shridhar Chandakkar, 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

Supporting Navigation of Outdoor Shopping Complexes for Visually-impaired Users through Multi-modal Data Fusion.

Devi Archana Paladugu, Parag S. Chandakkar, Peng Zhang, Baoxin Li

CoRR, 2017

Joint Regression and Ranking for Image Enhancement.

Parag Shridhar Chandakkar, Baoxin Li

Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Strategies for Re-Training a Pruned Neural Network in an Edge Computing Paradigm.

Parag S. Chandakkar, Yikang Li, Pak Lun Kevin Ding, Baoxin Li

Proceedings of the IEEE International Conference on Edge Computing, 2017

2016

A structured approach to predicting image enhancement parameters.

Parag Shridhar Chandakkar, Baoxin Li

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

A computational approach to relative aesthetics.

Vijetha Gattupalli, Parag S. Chandakkar, Baoxin Li

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

Improving Vision-Based Self-Positioning in Intelligent Transportation Systems via Integrated Lane and Vehicle Detection.

Parag S. Chandakkar, Yilin Wang, Baoxin Li

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Relative learning from web images for content-adaptive enhancement.

Parag Shridhar Chandakkar, Qiongjie Tian, Baoxin Li

Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 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

Investigating Human Factors in Image Forgery Detection.

Parag Shridhar Chandakkar, Baoxin Li

Proceedings of the 1st ACM International Workshop on Human Centered Event Understanding from Multimedia, 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

Supporting navigation of outdoor shopping complexes for visuallyimpaired users through multi-modal data fusion.

Devi Archana Paladugu, Parag S. Chandakkar, Peng Zhang, Baoxin Li

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013

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