2 citations · 2 across the 5 of their papers we have counts for
4 papers · 1 filter
Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing
Luu Tung Hai, Thinh D. Le, Zhicheng Ding +2
Point cloud processing has gained significant attention due to its critical role in applications such as autonomous driving and 3D object recognition. However, deploying high-perfo…
Advancing Wound Filling Extraction on 3D Faces: Auto-Segmentation and Wound Face Regeneration Approach
Duong Q. Nguyen, Thinh D. Le, Phuong D. Nguyen +2
Facial wound segmentation plays a crucial role in preoperative planning and optimizing patient outcomes in various medical applications. In this paper, we propose an efficient appr…
Application of Self-Supervised Learning to MICA Model for Reconstructing Imperfect 3D Facial Structures
Phuong D. Nguyen, Thinh D. Le, Duong Q. Nguyen +2
In this study, we emphasize the integration of a pre-trained MICA model with an imperfect face dataset, employing a self-supervised learning approach. We present an innovative meth…
3D Facial Imperfection Regeneration: Deep learning approach and 3D printing prototypes
Phuong D. Nguyen, Thinh D. Le, Duong Q. Nguyen +3
This study explores the potential of a fully convolutional mesh autoencoder model for regenerating 3D nature faces with the presence of imperfect areas. We utilize deep learning ap…