most citedFast Deep Multi-patch Hierarchical Network for Nonhomogeneous Image Dehazing

83 citations · 113 across the 7 of their papers we have counts for

collaborators

10 papers

eess.IV2021

Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report

Andrey Ignatov, Grigory Malivenko, Radu Timofte +28

Camera scene detection is among the most popular computer vision problem on smartphones. While many custom solutions were developed for this task by phone vendors, none of the desi…

cs.CV2021

Stacked Deep Multi-Scale Hierarchical Network for Fast Bokeh Effect Rendering from a Single Image

Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah +1

The Bokeh Effect is one of the most desirable effects in photography for rendering artistic and aesthetic photos. Usually, it requires a DSLR camera with different aperture and shu…

eess.IV2021

Efficient Space-time Video Super Resolution using Low-Resolution Flow and Mask Upsampling

Saikat Dutta, Nisarg A. Shah, Anurag Mittal

This paper explores an efficient solution for Space-time Super-Resolution, aiming to generate High-resolution Slow-motion videos from Low Resolution and Low Frame rate videos. A si…

cs.CL2021

A Heuristic-driven Uncertainty based Ensemble Framework for Fake News Detection in Tweets and News Articles

Sourya Dipta Das, Ayan Basak, Saikat Dutta

The significance of social media has increased manifold in the past few decades as it helps people from even the most remote corners of the world to stay connected. With the advent…

cs.CV2021

DSRN: an Efficient Deep Network for Image Relighting

Sourya Dipta Das, Nisarg A. Shah, Saikat Dutta +1

Custom and natural lighting conditions can be emulated in images of the scene during post-editing. Extraordinary capabilities of the deep learning framework can be utilized for suc…

cs.CL2021

A Heuristic-driven Ensemble Framework for COVID-19 Fake News Detection

Sourya Dipta Das, Ayan Basak, Saikat Dutta

The significance of social media has increased manifold in the past few decades as it helps people from even the most remote corners of the world stay connected. With the COVID-19…

eess.IV2020★ 6 cited

AIM 2020 Challenge on Rendering Realistic Bokeh

Andrey Ignatov, Radu Timofte, Ming Qian +32

This paper reviews the second AIM realistic bokeh effect rendering challenge and provides the description of the proposed solutions and results. The participating teams were solvin…

cs.CV2020★ 24 cited

Depth-aware Blending of Smoothed Images for Bokeh Effect Generation

Saikat Dutta

Bokeh effect is used in photography to capture images where the closer objects look sharp and every-thing else stays out-of-focus. Bokeh photos are generally captured using Single…

cs.CV2020★ 83 cited

Fast Deep Multi-patch Hierarchical Network for Nonhomogeneous Image Dehazing

Sourya Dipta Das, Saikat Dutta

Recently, CNN based end-to-end deep learning methods achieve superiority in Image Dehazing but they tend to fail drastically in Non-homogeneous dehazing. Apart from that, existing…

cs.CV2020

NTIRE 2020 Challenge on NonHomogeneous Dehazing

Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu +49

This paper reviews the NTIRE 2020 Challenge on NonHomogeneous Dehazing of images (restoration of rich details in hazy image). We focus on the proposed solutions and their results e…