18 citations · 27 across the 10 of their papers we have counts for
10 papers
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization
David Aguado, Daniel Fuertes, Carlos R. del-Blanco +1
Neural Combinatorial Optimization (NCO) techniques have emerged as a highly efficient alternative to traditional exact algorithms for solving routing problems such as the Traveling…
On the Effectiveness of Pretraining for Graph Combinatorial Optimization
David Aguado, Daniel Fuertes, Carlos R. del-Blanco +1
This paper introduces a self-supervised pretraining framework for graph combinatorial optimization specifically designed to address the nature of routing problems like the Travelin…
Enhancing Transformer-based Routing by Encoding Distance via Relative Positional Encoding
Leyre Encío, Daniel Fuertes, Carlos R. del-Blanco +1
This paper explores Relative Positional Encoding (RPE) as an additive bias in Transformer architectures to solve the Team Orienteering Problem. By embedding in the attention mechan…
Hand Trajectory Fusion for Egocentric Natural Language Query Grounding
Enmin Zhong, Carlos R. del-Blanco, Fernando Jaureguizar +1
Egocentric Natural Language Query (NLQ) grounding asks a model to localize, in a long first-person video, the temporal interval that answers a free-form text query. Existing method…
NaviFormer: A Deep Reinforcement Learning Transformer-like Model to Holistically Solve the Navigation Problem
Daniel Fuertes, Andrea Cavallaro, Carlos R. del-Blanco +2
Path planning is usually solved by addressing either the (high-level) route planning problem (waypoint sequencing to achieve the final goal) or the (low-level) path planning proble…
Multi-stage Planning for Multi-target Surveillance using Aircrafts Equipped with Synthetic Aperture Radars Aware of Target Visibility
Daniel Fuertes, Carlos R. del-Blanco, Fernando Jaureguizar +2
Generating trajectories for synthetic aperture radar (SAR)-equipped aircraft poses significant challenges due to terrain constraints, and the need for straight-flight segments to e…
AnimalMotionCLIP: Embedding motion in CLIP for Animal Behavior Analysis
Enmin Zhong, Carlos R. del-Blanco, Daniel Berjón +2
Recently, there has been a surge of interest in applying deep learning techniques to animal behavior recognition, particularly leveraging pre-trained visual language models, such a…
Application-Layer FEC Scheme Configuration Optimization via Hybrid Simulated Annealing
César Díaz, Julián Cabrera, Fernando Jaureguizar +1
An optimization technique based on an adapted combination of simulated annealing (SA) and tabu search (TS) is presented. This method aims at finding near-optimal unequal error prot…
A Video-Aware FEC-Based Unequal Loss Protection System for Video Streaming over RTP
César Díaz, Julián Cabrera, Fernando Jaureguizar +1
A video-aware unequal loss protection (ULP) system for protecting RTP video streaming in bursty packet loss networks is proposed. Considering the relevance of the frame, the state…
TOP-Former: A Multi-Agent Transformer Approach for the Team Orienteering Problem
Daniel Fuertes, Carlos R. del-Blanco, Fernando Jaureguizar +1
Route planning for a fleet of vehicles is an important task in applications such as package delivery, surveillance, or transportation, often integrated within larger Intelligent Tr…