activity
20192025
most citedEgocentric Video-Language Pretraining

45 citations · 55 across the 9 of their papers we have counts for

collaborators
Showing cs.CVShow all

11 papers · 1 filter

cs.CV2025

ResidualViT for Efficient Temporally Dense Video Encoding

Mattia Soldan, Fabian Caba Heilbron, Bernard Ghanem +2

Several video understanding tasks, such as natural language temporal video grounding, temporal activity localization, and audio description generation, require "temporally dense" r…

cs.CV2025

OpenTAD: A Unified Framework and Comprehensive Study of Temporal Action Detection

Shuming Liu, Chen Zhao, Fatimah Zohra +10

Temporal action detection (TAD) is a fundamental video understanding task that aims to identify human actions and localize their temporal boundaries in videos. Although this field…

cs.CV2024★ 1 cited

Compressed-Language Models for Understanding Compressed File Formats: a JPEG Exploration

Juan C. Pérez, Alejandro Pardo, Mattia Soldan +3

This study investigates whether Compressed-Language Models (CLMs), i.e. language models operating on raw byte streams from Compressed File Formats~(CFFs), can understand files comp…

cs.CV2024

Towards Automated Movie Trailer Generation

Dawit Mureja Argaw, Mattia Soldan, Alejandro Pardo +4

Movie trailers are an essential tool for promoting films and attracting audiences. However, the process of creating trailers can be time-consuming and expensive. To streamline this…

cs.CV2023★ 5 cited

Boundary-Denoising for Video Activity Localization

Mengmeng Xu, Mattia Soldan, Jialin Gao +3

Video activity localization aims at understanding the semantic content in long untrimmed videos and retrieving actions of interest. The retrieved action with its start and end loca…

cs.CV2023

Localizing Moments in Long Video Via Multimodal Guidance

Wayner Barrios, Mattia Soldan, Alberto Mario Ceballos-Arroyo +2

The recent introduction of the large-scale, long-form MAD and Ego4D datasets has enabled researchers to investigate the performance of current state-of-the-art methods for video gr…