activity
20182025
most citedFast Deep Multi-patch Hierarchical Network for Nonhomogeneous Image Dehazing

83 citations · 155 across the 21 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

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★ 14 cited

AIM 2020: Scene Relighting and Illumination Estimation Challenge

Majed El Helou, Ruofan Zhou, Sabine Süsstrunk +34

We review the AIM 2020 challenge on virtual image relighting and illumination estimation. This paper presents the novel VIDIT dataset used in the challenge and the different propos…

cs.CV2020

Semantic Segmentation of Surface from Lidar Point Cloud

Aritra Mukherjee, Sourya Dipta Das, Jasorsi Ghosh +2

In the field of SLAM (Simultaneous Localization And Mapping) for robot navigation, mapping the environment is an important task. In this regard the Lidar sensor can produce near ac…

cs.CV2020★ 2 cited

Team Neuro at SemEval-2020 Task 8: Multi-Modal Fine Grain Emotion Classification of Memes using Multitask Learning

Sourya Dipta Das, Soumil Mandal

In this article, we describe the system that we used for the memotion analysis challenge, which is Task 8 of SemEval-2020. This challenge had three subtasks where affect based sent…

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…