Search Results for author: Xuan-Bac Nguyen

Found 7 papers, 4 papers with code

Brainformer: Modeling MRI Brain Functions to Machine Vision

no code implementations30 Nov 2023 Xuan-Bac Nguyen, Xin Li, Samee U. Khan, Khoa Luu

In this work, we first present a simple yet effective Brainformer approach, a novel Transformer-based framework, to analyze the patterns of fMRI in the human perception system from the machine learning perspective.

The Algonauts Project 2023 Challenge: UARK-UAlbany Team Solution

1 code implementation1 Aug 2023 Xuan-Bac Nguyen, Xudong Liu, Xin Li, Khoa Luu

The goal is to predict brain responses across the entire visual brain, as it is the region where the most reliable responses to images have been observed.

Fairness in Visual Clustering: A Novel Transformer Clustering Approach

no code implementations14 Apr 2023 Xuan-Bac Nguyen, Chi Nhan Duong, Marios Savvides, Kaushik Roy, Hugh Churchill, Khoa Luu

Promoting fairness for deep clustering models in unsupervised clustering settings to reduce demographic bias is a challenging goal.

Attribute Clustering +2

Micron-BERT: BERT-based Facial Micro-Expression Recognition

1 code implementation CVPR 2023 Xuan-Bac Nguyen, Chi Nhan Duong, Xin Li, Susan Gauch, Han-Seok Seo, Khoa Luu

By incorporating these components into an end-to-end deep network, the proposed $\mu$-BERT significantly outperforms all previous work in various micro-expression tasks.

Micro Expression Recognition Micro-Expression Recognition +1

Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles

no code implementations19 Apr 2022 Pha Nguyen, Kha Gia Quach, Chi Nhan Duong, Ngan Le, Xuan-Bac Nguyen, Khoa Luu

The experimental results on the nuScenes dataset demonstrate the benefits of the proposed method to produce SOTA performance on the existing vision-based tracking dataset.

3D Object Detection 3D Object Tracking +5

Clusformer: A Transformer Based Clustering Approach to Unsupervised Large-Scale Face and Visual Landmark Recognition

1 code implementation CVPR 2021 Xuan-Bac Nguyen, Duc Toan Bui, Chi Nhan Duong, Tien D. Bui, Khoa Luu

This work therefore presents the Clusformer, a simple but new perspective of Transformer based approach, to automatic visual clustering via its unsupervised attention mechanism.

Clustering Landmark Recognition

Self-Supervised Learning Based on Spatial Awareness for Medical Image Analysis

1 code implementation IEEE Access 2020 Xuan-Bac Nguyen, Guee Sang Lee, Soo Hyung Kim, Hyung Jeong Yang

However, most of current methods for self-supervised learning try to understand only semantic features of the data, but have not fully utilized properties inherent in medical images.

Organ Segmentation Self-Supervised Learning

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