4 citations · 4 across the 3 of their papers we have counts for
5 papers
Traditional and Recent Approaches for Infrared Small Target Detection : Overview, Challenges and Perspectives (Part 2)
Thierry Bouwmans, Anastasia Zakharova, Belmar Garcia +3
Since the rise of supervised deep learning models, researchers have attempted to solve infrared small target detection using various models like convolutional neural networks, GANs…
Traditional and Recent Approaches for Infrared Small Target Detection : Overview, Challenges and Perspectives (Part 1)
Thierry Bouwmans, Anastasia Zakharova, Belmar Garcia +3
Infrared small target detection is often used in different civilian and military applications to detect static or moving targets in scenes like in ground, air and sea surveillance.…
Adaptive Meta-Learning for Robust Deepfake Detection: A Multi-Agent Framework to Data Drift and Model Generalization
Dinesh Srivasthav P, Badri Narayan Subudhi
Pioneering advancements in artificial intelligence, especially in genAI, have enabled significant possibilities for content creation, but also led to widespread misinformation and…
Multi-Scale Features and Parallel Transformers Based Image Quality Assessment
Abhisek Keshari, Komal, Sadbhawna +1
With the increase in multimedia content, the type of distortions associated with multimedia is also increasing. This problem of image quality assessment is expanded well in the PIP…
Detecting COVID-19 and Community Acquired Pneumonia using Chest CT scan images with Deep Learning
Shubham Chaudhary, Sadbhawna, Vinit Jakhetiya +3
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 Tomo…