296 citations
- Hanoi University of Science and TechnologyVN6 papers
- Hong Kong University of Science and TechnologyHK3 papers
- Monash UniversityAU3 papers
- National University of SingaporeSG3 papers
- University of AizuJP3 papers
- University of Illinois Urbana-ChampaignUS3 papers
- University of LuxembourgLU3 papers
- Vietnam National University Ho Chi Minh CityVN3 papers
- Agency for Science, Technology and ResearchSG2 papers
- Can Tho UniversityVN2 papers
- Deakin UniversityAU2 papers
- Fulbright University VietnamVN2 papers
9 papers · 1 filter
Handling Supervision Scarcity in Chest X-ray Classification: Long-Tailed and Zero-Shot Learning
Ha-Hieu Pham, Hai-Dang Nguyen, Thanh-Huy Nguyen +4
Chest X-Ray (CXR) classification in clinical practice is often limited by imperfect supervision, arising from (i) extreme long-tailed multi-label disease distributions and (ii) mis…
Improvement of Spiking Neural Network with Bit Planes and Color Models
Nhan T. Luu, Duong T. Luu, Nam N. Pham +1
Spiking neural network (SNN) has emerged as a promising paradigm in computational neuroscience and artificial intelligence, offering advantages such as low energy consumption and s…
FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource Constrained Devices using Divide and Collaborative Training
Quan Nguyen, Hieu H. Pham, Kok-Seng Wong +3
We introduce FedDCT, a novel distributed learning paradigm that enables the usage of large, high-performance CNNs on resource-limited edge devices. As opposed to traditional FL app…
Enhancing Few-shot Image Classification with Cosine Transformer
Quang-Huy Nguyen, Cuong Q. Nguyen, Dung D. Le +1
This paper addresses the few-shot image classification problem, where the classification task is performed on unlabeled query samples given a small amount of labeled support sample…
Video-based Human Action Recognition using Deep Learning: A Review
Hieu H. Pham, Louahdi Khoudour, Alain Crouzil +2
Human action recognition is an important application domain in computer vision. Its primary aim is to accurately describe human actions and their interactions from a previously uns…
Toward Realistic Single-View 3D Object Reconstruction with Unsupervised Learning from Multiple Images
Long-Nhat Ho, Anh Tuan Tran, Quynh Phung +1
Recovering the 3D structure of an object from a single image is a challenging task due to its ill-posed nature. One approach is to utilize the plentiful photos of the same object c…