activity
20182025
most citedAVDNet: A Small-Sized Vehicle Detection Network for Aerial Visual Data

77 citations · 87 across the 10 of their papers we have counts for

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11 papers · 1 filter

cs.CV20231 cited

Efficient Neural Architecture Search for Emotion Recognition

Monu Verma, Murari Mandal, Satish Kumar Reddy +2

Automated human emotion recognition from facial expressions is a well-studied problem and still remains a very challenging task. Some efficient or accurate deep learning models hav…

cs.CV20211 cited

Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement

Prateek Garg, Murari Mandal, Pratik Narang

Low light conditions in aerial images adversely affect the performance of several vision based applications. There is a need for methods that can efficiently remove the low light a…

cs.CV2020

Domain-Aware Unsupervised Hyperspectral Reconstruction for Aerial Image Dehazing

Aditya Mehta, Harsh Sinha, Murari Mandal +1

Haze removal in aerial images is a challenging problem due to considerable variation in spatial details and varying contrast. Changes in particulate matter density often lead to de…

cs.CV2020

MOR-UAV: A Benchmark Dataset and Baselines for Moving Object Recognition in UAV Videos

Murari Mandal, Lav Kush Kumar, Santosh Kumar Vipparthi

Visual data collected from Unmanned Aerial Vehicles (UAVs) has opened a new frontier of computer vision that requires automated analysis of aerial images/videos. However, the exist…

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…

cs.CV20191 cited

3D CNN with Localized Residual Connections for Hyperspectral Image Classification

Shivangi Dwivedi, Murari Mandal, Shekhar Yadav +1

In this paper we propose a novel 3D CNN network with localized residual connections for hyperspectral image classification. Our work chalks a comparative study with the existing me…