25 citations · 25 across the 6 of their papers we have counts for
6 papers
Classifying galaxies in the Galaxy10 DECals dataset using Inception and Residual CNNs
Lanz Anthonee A. Lagman, Prospero C. Naval, Reinabelle C. Reyes
Image data regarding galactic morphology is expected to increase both in quantity and quality for the next foreseeable years; thus it is important to explore which deep learning ar…
Reinforcement Learning Environment with LLM-Controlled Adversary in D&D 5th Edition Combat
Joseph Emmanuel DL Dayo, Michel Onasis S. Ogbinar, Prospero C. Naval
The objective of this study is to design and implement a reinforcement learning (RL) environment using D\&D 5E combat scenarios to challenge smaller RL agents through interaction w…
USAM-Net: A U-Net-based Network for Improved Stereo Correspondence and Scene Depth Estimation using Features from a Pre-trained Image Segmentation network
Joseph Emmanuel DL Dayo, Prospero C. Naval
The increasing demand for high-accuracy depth estimation in autonomous driving and augmented reality applications necessitates advanced neural architectures capable of effectively…
GazeMAE: General Representations of Eye Movements using a Micro-Macro Autoencoder
Louise Gillian C. Bautista, Prospero C. Naval
Eye movements are intricate and dynamic events that contain a wealth of information about the subject and the stimuli. We propose an abstract representation of eye movements that p…
CLRGaze: Contrastive Learning of Representations for Eye Movement Signals
Louise Gillian C. Bautista, Prospero C. Naval
Eye movements are intricate and dynamic biosignals that contain a wealth of cognitive information about the subject. However, these are ambiguous signals and therefore require meti…
A Survey on Deep Learning Techniques for Video Anomaly Detection
Jessie James P. Suarez, Prospero C. Naval
Anomaly detection in videos is a problem that has been studied for more than a decade. This area has piqued the interest of researchers due to its wide applicability. Because of th…