1 citations · 3 across the 10 of their papers we have counts for
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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…
MSC: A Marine Wildlife Video Dataset with Grounded Segmentation and Clip-Level Captioning
Quang-Trung Truong, Yuk-Kwan Wong, Vo Hoang Kim Tuyen Dang +3
Marine videos present significant challenges for video understanding due to the dynamics of marine objects and the surrounding environment, camera motion, and the complexity of und…
Color Alignment in Diffusion
Ka Chun Shum, Binh-Son Hua, Duc Thanh Nguyen +1
Diffusion models have shown great promise in synthesizing visually appealing images. However, it remains challenging to condition the synthesis at a fine-grained level, for instanc…
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…
DiDA: Video Object Segmentation with Distillation Learning of Deformable Attention
Quang-Trung Truong, Duc Thanh Nguyen, Binh-Son Hua +1
Video object segmentation is a fundamental research problem in computer vision. Recent techniques have often applied attention mechanism to object representation learning from vide…
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…
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…
Advances in 3D Neural Stylization: A Survey
Yingshu Chen, Guocheng Shao, Ka Chun Shum +2
Modern artificial intelligence offers a novel and transformative approach to creating digital art across diverse styles and modalities like images, videos and 3D data, unleashing t…
Locally Stylized Neural Radiance Fields
Hong-Wing Pang, Binh-Son Hua, Sai-Kit Yeung
In recent years, there has been increasing interest in applying stylization on 3D scenes from a reference style image, in particular onto neural radiance fields (NeRF). While perfo…
Language-driven Object Fusion into Neural Radiance Fields with Pose-Conditioned Dataset Updates
Ka Chun Shum, Jaeyeon Kim, Binh-Son Hua +2
Neural radiance field is an emerging rendering method that generates high-quality multi-view consistent images from a neural scene representation and volume rendering. Although neu…