most citedHarnessing Multi-View Perspective of Light Fields for Low-Light Imaging

50 citations · 69 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023

Spectrum-inspired Low-light Image Translation for Saliency Detection

Kitty Varghese, Sudarshan Rajagopalan, Mohit Lamba +1

Saliency detection methods are central to several real-world applications such as robot navigation and satellite imagery. However, the performance of existing methods deteriorate u…

cs.CV2020★ 15 cited

Towards Fast and Light-Weight Restoration of Dark Images

Mohit Lamba, Atul Balaji, Kaushik Mitra

The ability to capture good quality images in the dark and near-zero lux conditions has been a long-standing pursuit of the computer vision community. The seminal work by Chen et a…

cs.SI2020★ 1 cited

Roommate Compatibility Detection Through Machine Learning Techniques

Mansha Lamba, Raunak Goswami, Vinay +1

Our objective is to develop an artificially intelligent system which aims at checking the compatibility between the roommates of same or different sex sharing a common area of resi…

cs.CV2020★ 3 cited

multi-patch aggregation models for resampling detection

Mohit Lamba, Kaushik Mitra

Images captured nowadays are of varying dimensions with smartphones and DSLR's allowing users to choose from a list of available image resolutions. It is therefore imperative for f…

eess.IV2020★ 50 cited

Harnessing Multi-View Perspective of Light Fields for Low-Light Imaging

Mohit Lamba, Kranthi Kumar, Kaushik Mitra

Light Field (LF) offers unique advantages such as post-capture refocusing and depth estimation, but low-light conditions limit these capabilities. To restore low-light LFs we shoul…