12 citations · 30 across the 16 of their papers we have counts for
16 papers
TF-SASM: Training-free Spatial-aware Sparse Memory for Multi-object Tracking
Thuc Nguyen-Quang, Minh-Triet Tran
Multi-object tracking (MOT) in computer vision remains a significant challenge, requiring precise localization and continuous tracking of multiple objects in video sequences. The e…
SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation
Quoc-Huy Trinh, Hai-Dang Nguyen, Bao-Tram Nguyen Ngoc +3
Polyp segmentation, a critical concern in medical imaging, has prompted numerous proposed methods aimed at enhancing the quality of segmented masks. While current state-of-the-art…
ShapeFormer: Shape Prior Visible-to-Amodal Transformer-based Amodal Instance Segmentation
Minh Tran, Winston Bounsavy, Khoa Vo +3
Amodal Instance Segmentation (AIS) presents a challenging task as it involves predicting both visible and occluded parts of objects within images. Existing AIS methods rely on a bi…
Enhancing Video Summarization with Context Awareness
Hai-Dang Huynh-Lam, Ngoc-Phuong Ho-Thi, Minh-Triet Tran +1
Video summarization is a crucial research area that aims to efficiently browse and retrieve relevant information from the vast amount of video content available today. With the exp…
Cluster-based Video Summarization with Temporal Context Awareness
Hai-Dang Huynh-Lam, Ngoc-Phuong Ho-Thi, Minh-Triet Tran +1
In this paper, we present TAC-SUM, a novel and efficient training-free approach for video summarization that addresses the limitations of existing cluster-based models by incorpora…
Ensemble Learning for Vietnamese Scene Text Spotting in Urban Environments
Hieu Nguyen, Cong-Hoang Ta, Phuong-Thuy Le-Nguyen +2
This paper presents a simple yet efficient ensemble learning framework for Vietnamese scene text spotting. Leveraging the power of ensemble learning, which combines multiple models…