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cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2024

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…