98 citations · 126 across the 12 of their papers we have counts for
5 papers · 1 filter
A Unified Learning Based Framework for Light Field Reconstruction from Coded Projections
Anil Kumar Vadathya, Sharath Girish, Kaushik Mitra
Light field presents a rich way to represent the 3D world by capturing the spatio-angular dimensions of the visual signal. However, the popular way of capturing light field (LF) vi…
Phase retrieval for Fourier Ptychography under varying amount of measurements
Lokesh Boominathan, Mayug Maniparambil, Honey Gupta +2
Fourier Ptychography is a recently proposed imaging technique that yields high-resolution images by computationally transcending the diffraction blur of an optical system. At the c…
Photorealistic Image Reconstruction from Hybrid Intensity and Event based Sensor
Prasan A Shedligeri, Kaushik Mitra
Event sensors output a stream of asynchronous brightness changes (called ``events'') at a very high temporal rate. Previous works on recovering the lost intensity information from…
Dynamic Vision Sensors for Human Activity Recognition
Stefanie Anna Baby, Bimal Vinod, Chaitanya Chinni +1
Unlike conventional cameras which capture video at a fixed frame rate, Dynamic Vision Sensors (DVS) record only changes in pixel intensity values. The output of DVS is simply a str…
Solving Inverse Computational Imaging Problems using Deep Pixel-level Prior
Akshat Dave, Anil Kumar Vadathya, Ramana Subramanyam +2
Signal reconstruction is a challenging aspect of computational imaging as it often involves solving ill-posed inverse problems. Recently, deep feed-forward neural networks have led…