collaborators

5 papers

cs.CV2026

MambaKick: Early Penalty Direction Prediction from HAR Embeddings

Henry O. Velesaca, David Freire-Obregon, Abel Reyes-Angulo +2

Penalty kicks in soccer are decided under extreme time constraints, where goalkeepers benefit from anticipating shot direction from the kickers motion before or around ball contact…

cs.CV2026

Camo-M3FD: A New Benchmark Dataset for Cross-Spectral Camouflaged Pedestrian Detection

Henry O. Velesaca, Andrea Mero, Guillermo A. Castillo +1

Pedestrian detection is fundamental to autonomous driving, robotics, and surveillance. Despite progress in deep learning, reliable identification remains challenging due to occlusi…

cs.CV2026

SWNet: A Cross-Spectral Network for Camouflaged Weed Detection

Henry O. Velesaca, Luigi Miranda, Angel D. Sappa

This paper presents SWNet, a bimodal end-to-end cross-spectral network specifically engineered for the detection of camouflaged weeds in dense agricultural environments. Plant camo…

cs.CV2026

Bi-CamoDiffusion: A Boundary-informed Diffusion Approach for Camouflaged Object Detection

Patricia L. Suarez, Leo Thomas Ramos, Angel D. Sappa

Bi-CamoDiffusion is introduced, an evolution of the CamoDiffusion framework for camouflaged object detection. It integrates edge priors into early-stage embeddings via a parameter-…

cs.CV2026

A Parameter-efficient Convolutional Approach for Weed Detection in Multispectral Aerial Imagery

Leo Thomas Ramos, Angel D. Sappa

We introduce FCBNet, an efficient model designed for weed segmentation. The architecture is based on a fully frozen ConvNeXt backbone, the proposed Feature Correction Block (FCB),…