activity
20132023
most citedFlatNet: Towards Photorealistic Scene Reconstruction from Lensless Measurements

98 citations · 260 across the 24 of their papers we have counts for

collaborators

30 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.CV2022★ 6 cited

Towards Realistic Underwater Dataset Generation and Color Restoration

Neham Jain, Gopi Matta, Kaushik Mitra

Recovery of true color from underwater images is an ill-posed problem. This is because the wide-band attenuation coefficients for the RGB color channels depend on object range, ref…

cs.DC2022

Cost-aware Duration Prediction for Software Upgrades in Datacenters

Yi Ding, Aijia Gao, Thibaud Ryden +4

Software upgrades are critical to maintaining server reliability in datacenters. While job duration prediction and scheduling have been extensively studied, the unique challenges p…

cs.CV2022

LWGNet: Learned Wirtinger Gradients for Fourier Ptychographic Phase Retrieval

Atreyee Saha, Salman S Khan, Sagar Sehrawat +3

Fourier Ptychographic Microscopy (FPM) is an imaging procedure that overcomes the traditional limit on Space-Bandwidth Product (SBP) of conventional microscopes through computation…

eess.IV2022

Synthesizing Light Field Video from Monocular Video

Shrisudhan Govindarajan, Prasan Shedligeri, Sarah +1

The hardware challenges associated with light-field(LF) imaging has made it difficult for consumers to access its benefits like applications in post-capture focus and aperture cont…

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…