2 citations · 4 across the 9 of their papers we have counts for
9 papers
Capturing Localized Image Artifacts through a CNN-based Hyper-image Representation
Parag Shridhar Chandakkar, Baoxin Li
Training deep CNNs to capture localized image artifacts on a relatively small dataset is a challenging task. With enough images at hand, one can hope that a deep CNN characterizes…
Supporting Navigation of Outdoor Shopping Complexes for Visually-impaired Users through Multi-modal Data Fusion
Archana Paladugu, Parag S. Chandakkar, Peng Zhang +1
Outdoor shopping complexes (OSC) are extremely difficult for people with visual impairment to navigate. Existing GPS devices are mostly designed for roadside navigation and seldom…
Classification of Diabetic Retinopathy Images Using Multi-Class Multiple-Instance Learning Based on Color Correlogram Features
Ragav Venkatesan, Parag S. Chandakkar, Baoxin Li
All people with diabetes have the risk of developing diabetic retinopathy (DR), a vision-threatening complication. Early detection and timely treatment can reduce the occurrence of…
Investigating Human Factors in Image Forgery Detection
Parag S. Chandakkar, Baoxin Li
In today's age of internet and social media, one can find an enormous volume of forged images on-line. These images have been used in the past to convey falsified information and a…
Improving Vision-based Self-positioning in Intelligent Transportation Systems via Integrated Lane and Vehicle Detection
Parag S. Chandakkar, Yilin Wang, Baoxin Li
Traffic congestion is a widespread problem. Dynamic traffic routing systems and congestion pricing are getting importance in recent research. Lane prediction and vehicle density es…
Relative Learning from Web Images for Content-adaptive Enhancement
Parag S. Chandakkar, Qiongjie Tian, Baoxin Li
Personalized and content-adaptive image enhancement can find many applications in the age of social media and mobile computing. This paper presents a relative-learning-based approa…
A Structured Approach to Predicting Image Enhancement Parameters
Parag S. Chandakkar, Baoxin Li
Social networking on mobile devices has become a commonplace of everyday life. In addition, photo capturing process has become trivial due to the advances in mobile imaging. Hence…
A Computational Approach to Relative Aesthetics
Parag S. Chandakkar, Vijetha Gattupalli, Baoxin Li
Computational visual aesthetics has recently become an active research area. Existing state-of-art methods formulate this as a binary classification task where a given image is pre…
Joint Regression and Ranking for Image Enhancement
Parag S. Chandakkar, Baoxin Li
Research on automated image enhancement has gained momentum in recent years, partially due to the need for easy-to-use tools for enhancing pictures captured by ubiquitous cameras o…