12 citations · 41 across the 6 of their papers we have counts for
6 papers
Online pseudo labeling for polyp segmentation with momentum networks
Toan Pham Van, Linh Bao Doan, Thanh Tung Nguyen +3
Semantic segmentation is an essential task in developing medical image diagnosis systems. However, building an annotated medical dataset is expensive. Thus, semi-supervised methods…
Efficient Low-Latency Dynamic Licensing for Deep Neural Network Deployment on Edge Devices
Toan Pham Van, Ngoc N. Tran, Hoang Pham Minh +2
Along with the rapid development in the field of artificial intelligence, especially deep learning, deep neural network applications are becoming more and more popular in reality.…
Interpreting the Latent Space of Generative Adversarial Networks using Supervised Learning
Toan Pham Van, Tam Minh Nguyen, Ngoc N. Tran +4
With great progress in the development of Generative Adversarial Networks (GANs), in recent years, the quest for insights in understanding and manipulating the latent space of GAN…
Efficient Palm-Line Segmentation with U-Net Context Fusion Module
Toan Pham Van, Son Trung Nguyen, Linh Bao Doan +2
Many cultures around the world believe that palm reading can be used to predict the future life of a person. Palmistry uses features of the hand such as palm lines, hand shape, or…
Deep Learning Approach for Singer Voice Classification of Vietnamese Popular Music
Toan Pham Van, Ngoc N. Tran, Ta Minh Thanh
Singer voice classification is a meaningful task in the digital era. With a huge number of songs today, identifying a singer is very helpful for music information retrieval, music…
Deep Neural Networks based Invisible Steganography for Audio-into-Image Algorithm
Quang Pham Huu, Thoi Hoang Dinh, Ngoc N. Tran +2
In the last few years, steganography has attracted increasing attention from a large number of researchers since its applications are expanding further than just the field of infor…