1 citations · 2 across the 4 of their papers we have counts for
4 papers
Early Detection of Coffee Leaf Rust Through Convolutional Neural Networks Trained on Low-Resolution Images
Angelly Cabrera, Kleanthis Avramidis, Shrikanth Narayanan
Coffee leaf rust, a foliar disease caused by the fungus Hemileia vastatrix, poses a major threat to coffee production, especially in Central America. Climate change further aggrava…
Knowledge-guided EEG Representation Learning
Aditya Kommineni, Kleanthis Avramidis, Richard Leahy +1
Self-supervised learning has produced impressive results in multimedia domains of audio, vision and speech. This paradigm is equally, if not more, relevant for the domain of biosig…
Context Unlocks Emotions: Text-based Emotion Classification Dataset Auditing with Large Language Models
Daniel Yang, Aditya Kommineni, Mohammad Alshehri +4
The lack of contextual information in text data can make the annotation process of text-based emotion classification datasets challenging. As a result, such datasets often contain…
Does Video Summarization Require Videos? Quantifying the Effectiveness of Language in Video Summarization
Yoonsoo Nam, Adam Lehavi, Daniel Yang +3
Video summarization remains a huge challenge in computer vision due to the size of the input videos to be summarized. We propose an efficient, language-only video summarizer that a…