activity
20222026
most cited1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results

12 citations · 25 across the 14 of their papers we have counts for

collaborators

16 papers

cs.CV2026

Off-Manifold Refinement: Guiding Video Generators with a Frozen World Model

Hai Nguyen-Truong, Tuan-Anh Vu, Dang Huynh

Modern video generators routinely fail at physical dynamics: objects float, trajectories violate gravity, contacts vanish. Standard denoising and flow-matching objectives fit visua…

cs.CV2026

MarineEVT: Advancing Event-Centric Marine Video Understanding via Visual Tool Reasoning

Tuan-An To, Yuk-Kwan Wong, Tuan-Anh Vu +2

Recent Vision-Language Models (VLMs) have achieved remarkable success in visual understanding, driven by the growing availability of high-quality image-text pairs. However, the per…

cs.CV2025

Power of Boundary and Reflection: Semantic Transparent Object Segmentation using Pyramid Vision Transformer with Transparent Cues

Tuan-Anh Vu, Hai Nguyen-Truong, Ziqiang Zheng +4

Glass is a prevalent material among solid objects in everyday life, yet segmentation methods struggle to distinguish it from opaque materials due to its transparency and reflection…

cs.CV2024

Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography

Nhat Chung, Sensen Gao, Tuan-Anh Vu +5

Vision-Large-Language-Models (Vision-LLMs) are increasingly being integrated into autonomous driving (AD) systems due to their advanced visual-language reasoning capabilities, targ…

cs.CV2024

StyleCity: Large-Scale 3D Urban Scenes Stylization

Yingshu Chen, Huajian Huang, Tuan-Anh Vu +2

Creating large-scale virtual urban scenes with variant styles is inherently challenging. To facilitate prototypes of virtual production and bypass the need for complex materials an…

cs.CV2024

Vision-Aware Text Features in Referring Image Segmentation: From Object Understanding to Context Understanding

Hai Nguyen-Truong, E-Ro Nguyen, Tuan-Anh Vu +3

Referring image segmentation is a challenging task that involves generating pixel-wise segmentation masks based on natural language descriptions. The complexity of this task increa…

cs.CL2024★ 2 cited

Exploring Boundary of GPT-4V on Marine Analysis: A Preliminary Case Study

Ziqiang Zheng, Yiwei Chen, Jipeng Zhang +4

Large language models (LLMs) have demonstrated a powerful ability to answer various queries as a general-purpose assistant. The continuous multi-modal large language models (MLLM)…

cs.CV2023

Catch Me If You Can Describe Me: Open-Vocabulary Camouflaged Instance Segmentation with Diffusion

Tuan-Anh Vu, Duc Thanh Nguyen, Qing Guo +4

Text-to-image diffusion techniques have shown exceptional capabilities in producing high-quality, dense visual predictions from open-vocabulary text. This indicates a strong correl…

cs.CV2023★ 1 cited

The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024

Benjamin Kiefer, Lojze Žust, Matej Kristan +46

The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024 addresses maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicles (USV). Three challenge…

cs.CV2023

Test-Time Augmentation for 3D Point Cloud Classification and Segmentation

Tuan-Anh Vu, Srinjay Sarkar, Zhiyuan Zhang +2

Data augmentation is a powerful technique to enhance the performance of a deep learning task but has received less attention in 3D deep learning. It is well known that when 3D shap…

cs.CL2023★ 3 cited

MarineGPT: Unlocking Secrets of Ocean to the Public

Ziqiang Zheng, Jipeng Zhang, Tuan-Anh Vu +3

Large language models (LLMs), such as ChatGPT/GPT-4, have proven to be powerful tools in promoting the user experience as an AI assistant. The continuous works are proposing multi-…

cs.CV2023

MarineVRS: Marine Video Retrieval System with Explainability via Semantic Understanding

Tan-Sang Ha, Hai Nguyen-Truong, Tuan-Anh Vu +1

Building a video retrieval system that is robust and reliable, especially for the marine environment, is a challenging task due to several factors such as dealing with massive amou…

cs.CV2022★ 12 cited

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results

Benjamin Kiefer, Matej Kristan, Janez Perš +70

The 1 Workshop on Maritime Computer Vision (MaCVi) 2023 focused on maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicle (USV), and…

cs.CV2022

Time-of-Day Neural Style Transfer for Architectural Photographs

Yingshu Chen, Tuan-Anh Vu, Ka-Chun Shum +2

Architectural photography is a genre of photography that focuses on capturing a building or structure in the foreground with dramatic lighting in the background. Inspired by recent…

cs.CV2022★ 6 cited

Marine Video Kit: A New Marine Video Dataset for Content-based Analysis and Retrieval

Quang-Trung Truong, Tuan-Anh Vu, Tan-Sang Ha +4

Effective analysis of unusual domain specific video collections represents an important practical problem, where state-of-the-art general purpose models still face limitations. Hen…

cs.CV2022★ 1 cited

RFNet-4D++: Joint Object Reconstruction and Flow Estimation from 4D Point Clouds with Cross-Attention Spatio-Temporal Features

Tuan-Anh Vu, Duc Thanh Nguyen, Binh-Son Hua +2

Object reconstruction from 3D point clouds has been a long-standing research problem in computer vision and computer graphics, and achieved impressive progress. However, reconstruc…