collaborators

13 papers

cs.CV2026

BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding

Xuan-Bac Nguyen, Thanh-Dat Truong, Pawan Sinha +1

Memory decay makes it harder for the human brain to recognize visual objects and retain details. Consequently, recorded brain signals become weaker, uncertain, and contain poor vis…

cs.CV2026

OpenQlaw: An Agentic AI Assistant for Analysis of 2D Quantum Materials

Sankalp Pandey, Xuan-Bac Nguyen, Hoang-Quan Nguyen +4

The transition from optical identification of 2D quantum materials to practical device fabrication requires dynamic reasoning beyond the detection accuracy. While recent domain-spe…

cs.CV2026

CLIFF: Continual Learning for Incremental Flake Features in 2D Material Identification

Sankalp Pandey, Xuan Bac Nguyen, Nicholas Borys +2

Identifying quantum flakes is crucial for scalable quantum hardware; however, automated layer classification from optical microscopy remains challenging due to substantial appearan…

cs.CV2026

QuPAINT: Physics-Aware Instruction Tuning Approach to Quantum Material Discovery

Xuan-Bac Nguyen, Hoang-Quan Nguyen, Sankalp Pandey +4

Characterizing two-dimensional quantum materials from optical microscopy images is challenging due to the subtle layer-dependent contrast, limited labeled data, and significant var…

cs.CV2025

BRACTIVE: A Brain Activation Approach to Human Visual Brain Learning

Xuan-Bac Nguyen, Hojin Jang, Xin Li +3

The human brain is a highly efficient processing unit, and understanding how it works can inspire new algorithms and architectures in machine learning. In this work, we introduce a…

cs.CV2025

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…