Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Chandakkar, Parag S."'
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 blindness due to DR. Computer-aided diagnosis has the potential benef
Externí odkaz:
http://arxiv.org/abs/1704.01264
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 transition well into an OSC-like setting. We report our study on the c
Externí odkaz:
http://arxiv.org/abs/1704.01266
Autor:
Chandakkar, Parag S., Li, Baoxin
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 achieve harmful intentions. The spread and the effect of the social med
Externí odkaz:
http://arxiv.org/abs/1704.01262
Traffic congestion is a widespread problem. Dynamic traffic routing systems and congestion pricing are getting importance in recent research. Lane prediction and vehicle density estimation is an important component of such systems. We introduce a nov
Externí odkaz:
http://arxiv.org/abs/1704.01256
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 predicted to be beautiful or not. In many applications such as image retr
Externí odkaz:
http://arxiv.org/abs/1704.01248
Autor:
Chandakkar, Parag S., Li, Baoxin
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 people capture a lot of photos everyday and they want them to be visua
Externí odkaz:
http://arxiv.org/abs/1704.01249
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 approach, which, unlike previous methods, does not require matching original
Externí odkaz:
http://arxiv.org/abs/1704.01250
Autor:
Chandakkar, Parag S., Li, Baoxin
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 on mobile devices. Many of the existing leading methods employ machine-
Externí odkaz:
http://arxiv.org/abs/1704.01235
Publikováno v:
2015 IEEE Winter Conference on Applications of Computer Vision; 2015, p404-411, 8p
Publikováno v:
Advances in Visual Computing: 10th International Symposium, ISVC 2014, Las Vegas, NV, USA, December 8-10, 2014, Proceedings, Part I; 2014, p718-729, 12p