16 citations · 24 across the 8 of their papers we have counts for
8 papers
Understanding Multimodal Complementarity for Single-Frame Action Anticipation
Manuel Benavent-Lledo, Konstantinos Bacharidis, Konstantinos Papoutsakis +2
Human action anticipation is commonly treated as a video understanding problem, implicitly assuming that dense temporal information is required to reason about future actions. In t…
Action Anticipation at a Glimpse: To What Extent Can Multimodal Cues Replace Video?
Manuel Benavent-Lledo, Konstantinos Bacharidis, Victoria Manousaki +3
Anticipating actions before they occur is a core challenge in action understanding research. While conventional methods rely on extracting and aggregating temporal information from…
CogniAlign: Word-Level Multimodal Speech Alignment with Gated Cross-Attention for Alzheimer's Detection
David Ortiz-Perez, Manuel Benavent-Lledo, Javier Rodriguez-Juan +2
Early detection of cognitive disorders such as Alzheimer's disease is critical for enabling timely clinical intervention and improving patient outcomes. In this work, we introduce…
Text-driven Online Action Detection
Manuel Benavent-Lledo, David Mulero-Pérez, David Ortiz-Perez +1
Detecting actions as they occur is essential for applications like video surveillance, autonomous driving, and human-robot interaction. Known as online action detection, this task…
Visual WetlandBirds Dataset: Bird Species Identification and Behavior Recognition in Videos
Javier Rodriguez-Juan, David Ortiz-Perez, Manuel Benavent-Lledo +5
The current biodiversity loss crisis makes animal monitoring a relevant field of study. In light of this, data collected through monitoring can provide essential insights, and info…
Detecting Facial Image Manipulations with Multi-Layer CNN Models
Alejandro Marco Montejano, Angela Sanchez Perez, Javier Barrachina +3
The rapid evolution of digital image manipulation techniques poses significant challenges for content verification, with models such as stable diffusion and mid-journey producing h…
Enhancing Action Recognition by Leveraging the Hierarchical Structure of Actions and Textual Context
Manuel Benavent-Lledo, David Mulero-Pérez, David Ortiz-Perez +2
We propose a novel approach to improve action recognition by exploiting the hierarchical organization of actions and by incorporating contextualized textual information, including…
Deep Insights into Cognitive Decline: A Survey of Leveraging Non-Intrusive Modalities with Deep Learning Techniques
David Ortiz-Perez, Manuel Benavent-Lledo, Jose Garcia-Rodriguez +2
Cognitive decline is a natural part of aging. However, under some circumstances, this decline is more pronounced than expected, typically due to disorders such as Alzheimer's disea…