no code implementations • 30 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.
1 code implementation • 1 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.
no code implementations • 14 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.
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.
Ranked #1 on Micro Expression Recognition on SMIC
Micro Expression Recognition Micro-Expression Recognition +1
no code implementations • 19 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.
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.
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.