6 papers
Global-Local Contextual Progressive Expansion Network for Martian Landslide Segmentation in Multimodal Remote Sensing Imagery
Leo Thomas Ramos, Sidike Paheding, Abel A. Reyes-Angulo +4
Automated landslide segmentation on Mars is one of the important tasks for understanding its surface processes, and all will aid in future space exploration. However, it remains a…
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…
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…
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…
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-…
A Parameter-efficient Convolutional Approach for Camouflaged Weed Detection in Multispectral Aerial Imagery
Leo Thomas Ramos, Angel D. Sappa
We introduce FCBNet, an efficient model designed for camouflaged weed detection. The architecture is based on a fully frozen ConvNeXt backbone, the proposed Feature Correction Bloc…