most citedMulti-modal Facial Action Unit Detection with Large Pre-trained Models for the 5th Competition on Affective Behavior Analysis in-the-wild

5 citations · 11 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV20233 cited

SolarFormer: Multi-scale Transformer for Solar PV Profiling

Adrian de Luis, Minh Tran, Taisei Hanyu +6

As climate change intensifies, the global imperative to shift towards sustainable energy sources becomes more pronounced. Photovoltaic (PV) energy is a favored choice due to its re…

cs.CV20231 cited

Open-Fusion: Real-time Open-Vocabulary 3D Mapping and Queryable Scene Representation

Kashu Yamazaki, Taisei Hanyu, Khoa Vo +5

Precise 3D environmental mapping is pivotal in robotics. Existing methods often rely on predefined concepts during training or are time-intensive when generating semantic maps. Thi…

cs.CV20232 cited

LibreFace: An Open-Source Toolkit for Deep Facial Expression Analysis

Di Chang, Yufeng Yin, Zongjian Li +2

Facial expression analysis is an important tool for human-computer interaction. In this paper, we introduce LibreFace, an open-source toolkit for facial expression analysis. This o…

cs.CV20235 cited

Multi-modal Facial Action Unit Detection with Large Pre-trained Models for the 5th Competition on Affective Behavior Analysis in-the-wild

Yufeng Yin, Minh Tran, Di Chang +2

Facial action unit detection has emerged as an important task within facial expression analysis, aimed at detecting specific pre-defined, objective facial expressions, such as lip…

cs.CV2022

3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image Segmentation

Minh Tran, Viet-Khoa Vo-Ho, Ngan T. H. Le

Convolutional Neural Networks (CNNs) have achieved promising results in medical image segmentation. However, CNNs require lots of training data and are incapable of handling pose a…

eess.IV2022

SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data

Minh Tran, Loi Ly, Binh-Son Hua +1

Capsule network is a recent new deep network architecture that has been applied successfully for medical image segmentation tasks. This work extends capsule networks for volumetric…