24 citations · 41 across the 7 of their papers we have counts for
8 papers
AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation
Kashu Yamazaki, Taisei Hanyu, Minh Tran +7
Aerial Image Segmentation is a top-down perspective semantic segmentation and has several challenging characteristics such as strong imbalance in the foreground-background distribu…
Multilingual Communication System with Deaf Individuals Utilizing Natural and Visual Languages
Tuan-Luc Huynh, Khoi-Nguyen Nguyen-Ngoc, Chi-Bien Chu +2
According to the World Federation of the Deaf, more than two hundred sign languages exist. Therefore, it is challenging to understand deaf individuals, even proficient sign languag…
EmbryosFormer: Deformable Transformer and Collaborative Encoding-Decoding for Embryos Stage Development Classification
Tien-Phat Nguyen, Trong-Thang Pham, Tri Nguyen +7
The timing of cell divisions in early embryos during the In-Vitro Fertilization (IVF) process is a key predictor of embryo viability. However, observing cell divisions in Time-Laps…
AOE-Net: Entities Interactions Modeling with Adaptive Attention Mechanism for Temporal Action Proposals Generation
Khoa Vo, Sang Truong, Kashu Yamazaki +3
Temporal action proposal generation (TAPG) is a challenging task, which requires localizing action intervals in an untrimmed video. Intuitively, we as humans, perceive an action th…
AISFormer: Amodal Instance Segmentation with Transformer
Minh Tran, Khoa Vo, Kashu Yamazaki +3
Amodal Instance Segmentation (AIS) aims to segment the region of both visible and possible occluded parts of an object instance. While Mask R-CNN-based AIS approaches have shown pr…
An Improved Subject-Independent Stress Detection Model Applied to Consumer-grade Wearable Devices
Van-Tu Ninh, Manh-Duy Nguyen, Sinéad Smyth +4
Stress is a complex issue with wide-ranging physical and psychological impacts on human daily performance. Specifically, acute stress detection is becoming a valuable application i…
Meta-Learning of NAS for Few-shot Learning in Medical Image Applications
Viet-Khoa Vo-Ho, Kashu Yamazaki, Hieu Hoang +2
Deep learning methods have been successful in solving tasks in machine learning and have made breakthroughs in many sectors owing to their ability to automatically extract features…
DAM-AL: Dilated Attention Mechanism with Attention Loss for 3D Infant Brain Image Segmentation
Dinh-Hieu Hoang, Gia-Han Diep, Minh-Triet Tran +1
While Magnetic Resonance Imaging (MRI) has played an essential role in infant brain analysis, segmenting MRI into a number of tissues such as gray matter (GM), white matter (WM), a…