46 citations · 78 across the 18 of their papers we have counts for
22 papers
SMI: Efficient Self-Supervised Learning via Mutual-Information-Inspired Dependency Optimization
Pritam Mishra, Coloma Ballester, Dimosthenis Karatzas
Self-supervised learning (SSL) has achieved remarkable representation learning performance, but many existing methods rely on large batch sizes, memory banks, momentum encoders, or…
TRIMMER: A New Paradigm for Video Summarization through Self-Supervised Reinforcement Learning
Pritam Mishra, Coloma Ballester, Dimosthenis Karatzas
The rapid growth of video content across domains such as surveillance, education, and social media has made efficient content understanding increasingly critical. Video summarizati…
SoccerHigh: A Benchmark Dataset for Automatic Soccer Video Summarization
Artur Díaz-Juan, Coloma Ballester, Gloria Haro
Video summarization aims to extract key shots from longer videos to produce concise and informative summaries. One of its most common applications is in sports, where highlight ree…
TRIM: A Self-Supervised Video Summarization Framework Maximizing Temporal Relative Information and Representativeness
Pritam Mishra, Coloma Ballester, Dimosthenis Karatzas
The increasing ubiquity of video content and the corresponding demand for efficient access to meaningful information have elevated video summarization and video highlights as a vit…
Visual Motif Identification: Elaboration of a Curated Comparative Dataset and Classification Methods
Adam Phillips, Daniel Grandes Rodriguez, Miriam Sánchez-Manzano +4
In cinema, visual motifs are recurrent iconographic compositions that carry artistic or aesthetic significance. Their use throughout the history of visual arts and media is interes…
A Graph-Based Method for Soccer Action Spotting Using Unsupervised Player Classification
Alejandro Cartas, Coloma Ballester, Gloria Haro
Action spotting in soccer videos is the task of identifying the specific time when a certain key action of the game occurs. Lately, it has received a large amount of attention and…