29 citations · 61 across the 16 of their papers we have counts for
7 papers · 1 filter
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…
PointInverter: Point Cloud Reconstruction and Editing via a Generative Model with Shape Priors
Jaeyeon Kim, Binh-Son Hua, Duc Thanh Nguyen +1
In this paper, we propose a new method for mapping a 3D point cloud to the latent space of a 3D generative adversarial network. Our generative model for 3D point clouds is based on…
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…
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…
360Roam: Real-Time Indoor Roaming Using Geometry-Aware 360 Radiance Fields
Huajian Huang, Yingshu Chen, Tianjia Zhang +1
Virtual tour among sparse 360 images is widely used while hindering smooth and immersive roaming experiences. The emergence of Neural Radiance Field (NeRF) has showcased si…
RIConv++: Effective Rotation Invariant Convolutions for 3D Point Clouds Deep Learning
Zhiyuan Zhang, Binh-Son Hua, Sai-Kit Yeung
3D point clouds deep learning is a promising field of research that allows a neural network to learn features of point clouds directly, making it a robust tool for solving 3D scene…