activity
20182023
most citedAnabranch Network for Camouflaged Object Segmentation

753 citations · 940 across the 11 of their papers we have counts for

collaborators

12 papers

cs.CV2023★ 1 cited

Few-Shot Object Detection via Synthetic Features with Optimal Transport

Anh-Khoa Nguyen Vu, Thanh-Toan Do, Vinh-Tiep Nguyen +3

Few-shot object detection aims to simultaneously localize and classify the objects in an image with limited training samples. However, most existing few-shot object detection metho…

cs.CV2023★ 16 cited

The Art of Camouflage: Few-Shot Learning for Animal Detection and Segmentation

Thanh-Danh Nguyen, Anh-Khoa Nguyen Vu, Nhat-Duy Nguyen +5

Camouflaged object detection and segmentation is a new and challenging research topic in computer vision. There is a serious issue of lacking data on concealed objects such as camo…

cs.CV2022★ 15 cited

ABN: Agent-Aware Boundary Networks for Temporal Action Proposal Generation

Khoa Vo, Kashu Yamazaki, Sang Truong +3

Temporal action proposal generation (TAPG) aims to estimate temporal intervals of actions in untrimmed videos, which is a challenging yet plays an important role in many tasks of v…

cs.CV2021

DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object Tracking

Kha Gia Quach, Pha Nguyen, Huu Le +4

Multi-Camera Multiple Object Tracking (MC-MOT) is a significant computer vision problem due to its emerging applicability in several real-world applications. Despite a large number…

cs.CV2021★ 3 cited

Contextual Guided Segmentation Framework for Semi-supervised Video Instance Segmentation

Trung-Nghia Le, Tam V. Nguyen, Minh-Triet Tran

In this paper, we propose Contextual Guided Segmentation (CGS) framework for video instance segmentation in three passes. In the first pass, i.e., preview segmentation, we propose…

eess.IV2021★ 2 cited

Refined Deep Neural Network and U-Net for Polyps Segmentation

Quoc-Huy Trinh, Minh-Van Nguyen, Thiet-Gia Huynh +1

The Medico: Multimedia Task 2020 focuses on developing an efficient and accurate computer-aided diagnosis system for automatic segmentation [3]. We participate in task 1, Polyps se…