Vinit Jakhetiya — accepted AI-conference papers

2023

Drone-vs-Bird: Drone Detection Using YOLOv7 with CSRT Tracker

Sahaj Mistry, Shreyas Chatterjee, Ajeet Kumar Verma, Vinit Jakhetiya, Badri N. Subudhi, Sunil Prasad Jaiswal

ICASSP 2023accepted

Drone detection has become a critical component of surveillance, but detecting small drones remains a challenge. In this work, we introduce a new drone detection scheme that uses a customized YOLOv7 combined with a tracker. Using simple YOLOv7 has some limitations, including false positives and diff…

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2023

Two-Streams: Dark and Light Networks with Graph Convolution for Action Recognition from Dark Videos (Student Abstract)

Saurabh Suman, Nilay Naharas, Badri Narayan Subudhi, Vinit Jakhetiya

AAAI 2023technical

In this article, we propose a two-stream action recognition technique for recognizing human actions from dark videos. The proposed action recognition network consists of an image enhancement network with Self-Calibrated Illumination (SCI) module, followed by a two-stream action recognition network.…

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2021

Detecting Covid-19 and Community Acquired Pneumonia Using Chest CT Scan Images With Deep Learning

Shubham Chaudhary, Sadbhawna, Vinit Jakhetiya, Badri N. Subudhi, Ujjwal Baid, Sharath Chandra Guntuku

ICASSP 2021accepted

We propose a two-stage Convolutional Neural Network (CNN) based classification framework for detecting COVID-19 and Community Acquired Pneumonia (CAP) using the chest Computed Tomography (CT) scan images. In the first stage, an infection - COVID-19 or CAP, is detected using a pre-trained DenseNet ar…

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