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20222026
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cs.CV2026

NICO-RAG: Multimodal Hypergraph Retrieval-Augmented Generation for Understanding the Nicotine Public Health Crisis

Manuel Serna-Aguilera, Raegan Anderes, Page Dobbs +1

The nicotine addiction public health crisis continues to be pervasive. In this century alone, the tobacco industry has released and marketed new products in an aggressive effort to…

cs.CV2024

COBRA: A Continual Learning Approach to Vision-Brain Understanding

Xuan-Bac Nguyen, Manuel Serna-Aguilera, Arabinda Kumar Choudhary +3

Vision-Brain Understanding (VBU) aims to extract visual information perceived by humans from brain activity recorded through functional Magnetic Resonance Imaging (fMRI). Despite n…

cs.CV2024

A Novel Dataset for Video-Based Neurodivergent Classification Leveraging Extra-Stimulatory Behavior

Manuel Serna-Aguilera, Xuan Bac Nguyen, Han-Seok Seo +1

Facial expressions and actions differ among different individuals at varying degrees of intensity given responses to external stimuli, particularly among those that are neurodiverg…

cs.CV2024

Video-Based Autism Detection with Deep Learning

M. Serna-Aguilera, X. B. Nguyen, A. Singh +5

Individuals with Autism Spectrum Disorder (ASD) often experience challenges in health, communication, and sensory processing; therefore, early diagnosis is necessary for proper tre…

cs.CV2022

Neural Cell Video Synthesis via Optical-Flow Diffusion

Manuel Serna-Aguilera, Khoa Luu, Nathaniel Harris +1

The biomedical imaging world is notorious for working with small amounts of data, frustrating state-of-the-art efforts in the computer vision and deep learning worlds. With large d…