2 citations · 3 across the 4 of their papers we have counts for
6 papers
SambaGraph: Action-Reaction Spatio-Temporal Graphs for Soccer Tactical Response Modeling
Abel A. Reyes-Angulo, Henry O. Velesaca, Steven Araujo
Soccer tactics are interactive: an attacking action changes the opponent's defensive problem, and the observed response depends on the multi-agent match state. We introduce SambaGr…
U-PEN Mamba: Progressive Expansion with Selective State-Space Modeling for Efficient Retinal Vessel Segmentation
Abel A. Reyes-Angulo, Sidike Paheding, Vijayan K. Asari +2
Accurate retinal vessel segmentation is important for computer-aided ophthalmic analysis, yet thin vessels, low contrast, and severe foreground-background imbalance remain challeng…
Can Vision-Language Models Judge Olympic Diving? From Reasoning to Scores in Zero-Shot Action Quality Assessment
Henry O. Velesaca, David Freire-Obregon, Luigi Miranda +1
Automated action quality assessment (AQA) in Olympic sports remains a challenging task due to the complexity of human motion and the subjectivity inherent in expert judging. This w…
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…
The Forward-Forward Algorithm as a feature extractor for skin lesion classification: A preliminary study
Abel Reyes-Angulo, Sidike Paheding
Skin cancer, a deadly form of cancer, exhibits a 23\% survival rate in the USA with late diagnosis. Early detection can significantly increase the survival rate, and facilitate tim…
Forward-Forward Algorithm for Hyperspectral Image Classification: A Preliminary Study
Sidike Paheding, Abel A. Reyes-Angulo
The back-propagation algorithm has long been the de-facto standard in optimizing weights and biases in neural networks, particularly in cutting-edge deep learning models. Its wides…