8 citations · 17 across the 10 of their papers we have counts for
10 papers
Self-supervised 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…
UWA360CAM: A 360 24/7 Real-Time Streaming Camera System for Underwater Applications
Quan-Dung Pham, Yipeng Zhu, Tan-Sang Ha +3
Omnidirectional camera is a cost-effective and information-rich sensor highly suitable for many marine applications and the ocean scientific community, encompassing several domains…
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…
GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo Labelers
Tuan Duc Ngo, Binh-Son Hua, Khoi Nguyen
Instance segmentation on 3D point clouds (3DIS) is a longstanding challenge in computer vision, where state-of-the-art methods are mainly based on full supervision. As annotating g…
Conditional 360-degree Image Synthesis for Immersive Indoor Scene Decoration
Ka Chun Shum, Hong-Wing Pang, Binh-Son Hua +2
In this paper, we address the problem of conditional scene decoration for 360-degree images. Our method takes a 360-degree background photograph of an indoor scene and generates de…
ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution
Tuan Duc Ngo, Binh-Son Hua, Khoi Nguyen
Existing 3D instance segmentation methods are predominated by the bottom-up design -- manually fine-tuned algorithm to group points into clusters followed by a refinement network.…