Kuldeep M. Biradar — accepted AI-conference papers

2020

An End-to-End Edge Aggregation Network for Moving Object Segmentation

Prashant W. Patil, Kuldeep M. Biradar, Akshay Dudhane, Subrahmanyam Murala

CVPR 2020poster

Moving object segmentation in videos (MOS) is a highly demanding task for security-based applications like automated outdoor video surveillance. Most of the existing techniques proposed for MOS are highly depend on fine-tuning a model on the first frame(s) of test sequence or complicated training pr…

Cited by 79 PDF ↗Scholar ↗

2020

Varicolored Image De-Hazing

Akshay Dudhane, Kuldeep M. Biradar, Prashant W. Patil, Praful Hambarde, Subrahmanyam Murala

CVPR 2020poster

The quality of images captured in bad weather is often affected by chromatic casts and low visibility due to the presence of atmospheric particles. Restoration of the color balance is often ignored in most of the existing image de-hazing methods. In this paper, we propose a varicolored end-to-end im…

Cited by 61 PDF ↗Scholar ↗