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

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

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Showing 2020Show all

12 papers · 1 filter

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.CV2020★ 1 cited

Video Reconstruction by Spatio-Temporal Fusion of Blurred-Coded Image Pair

S Anupama, Prasan Shedligeri, Abhishek Pal +1

Learning-based methods have enabled the recovery of a video sequence from a single motion-blurred image or a single coded exposure image. Recovering video from a single motion-blur…

eess.IV2020

A Unified Framework for Compressive Video Recovery from Coded Exposure Techniques

Prasan Shedligeri, Anupama S, Kaushik Mitra

Several coded exposure techniques have been proposed for acquiring high frame rate videos at low bandwidth. Most recently, a Coded-2-Bucket camera has been proposed that can acquir…

eess.IV2020★ 98 cited

FlatNet: Towards Photorealistic Scene Reconstruction from Lensless Measurements

Salman S. Khan, Varun Sundar, Vivek Boominathan +2

Lensless imaging has emerged as a potential solution towards realizing ultra-miniature cameras by eschewing the bulky lens in a traditional camera. Without a focusing lens, the len…

cs.CV2020

Deep Atrous Guided Filter for Image Restoration in Under Display Cameras

Varun Sundar, Sumanth Hegde, Divya Kothandaraman +1

Under Display Cameras present a promising opportunity for phone manufacturers to achieve bezel-free displays by positioning the camera behind semi-transparent OLED screens. Unfortu…

eess.IV2020★ 5 cited

UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results

Yuqian Zhou, Michael Kwan, Kyle Tolentino +42

This paper is the report of the first Under-Display Camera (UDC) image restoration challenge in conjunction with the RLQ workshop at ECCV 2020. The challenge is based on a newly-co…

eess.IV2020

Monocular Retinal Depth Estimation and Joint Optic Disc and Cup Segmentation using Adversarial Networks

Sharath M Shankaranarayana, Keerthi Ram, Kaushik Mitra +1

One of the important parameters for the assessment of glaucoma is optic nerve head (ONH) evaluation, which usually involves depth estimation and subsequent optic disc and cup bound…

eess.IV2020★ 1 cited

NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image

Boaz Arad, Radu Timofte, Ohad Ben-Shahar +4

This paper reviews the second challenge on spectral reconstruction from RGB images, i.e., the recovery of whole-scene hyperspectral (HS) information from a 3-channel RGB image. As…

eess.IV2020★ 1 cited

Optimal HDR and Depth from Dual Cameras

Pradyumna Chari, Anil Kumar Vadathya, Kaushik Mitra

Dual camera systems have assisted in the proliferation of various applications, such as optical zoom, low-light imaging and High Dynamic Range (HDR) imaging. In this work, we explo…

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…

cs.CV2020

Pyramidal Edge-maps and Attention based Guided Thermal Super-resolution

Honey Gupta, Kaushik Mitra

Guided super-resolution (GSR) of thermal images using visible range images is challenging because of the difference in the spectral-range between the images. This in turn means tha…

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…