activity
20142025
most citedAn Integrated Semantic Web Service Discovery and Composition Framework

133 citations · 263 across the 11 of their papers we have counts for

collaborators

13 papers

cs.DB2025

Efficient Conformance Checking of Rich Data-Aware Declare Specifications (Extended)

Jacobo Casas-Ramos, Sarah Winkler, Alessandro Gianola +3

Despite growing interest in process analysis and mining for data-aware specifications, alignment-based conformance checking for declarative process models has focused on pure contr…

cs.AI2025★ 1 cited

DeclareAligner: A Leap Towards Efficient Optimal Alignments for Declarative Process Model Conformance Checking

Jacobo Casas-Ramos, Manuel Lama, Manuel Mucientes

In many engineering applications, processes must be followed precisely, making conformance checking between event logs and declarative process models crucial for ensuring adherence…

cs.CV2025

Superpowering Open-Vocabulary Object Detectors for X-ray Vision

Pablo Garcia-Fernandez, Lorenzo Vaquero, Mingxuan Liu +5

Open-vocabulary object detection (OvOD) is set to revolutionize security screening by enabling systems to recognize any item in X-ray scans. However, developing effective OvOD mode…

cs.CV2024

Lost in Time: A New Temporal Benchmark for VideoLLMs

Daniel Cores, Michael Dorkenwald, Manuel Mucientes +2

Large language models have demonstrated impressive performance when integrated with vision models even enabling video understanding. However, evaluating video models presents its o…

cs.CV2023★ 37 cited

Depth Estimation and Image Restoration by Deep Learning from Defocused Images

Saqib Nazir, Lorenzo Vaquero, Manuel Mucientes +2

Monocular depth estimation and image deblurring are two fundamental tasks in computer vision, given their crucial role in understanding 3D scenes. Performing any of them by relying…

cs.CV2022★ 10 cited

Real-Time Siamese Multiple Object Tracker with Enhanced Proposals

Lorenzo Vaquero, Víctor M. Brea, Manuel Mucientes

Maintaining the identity of multiple objects in real-time video is a challenging task, as it is not always feasible to run a detector on every frame. Thus, motion estimation system…