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20152023
most citedACNet: Approaching-and-Centralizing Network for Zero-Shot Sketch-Based Image Retrieval

29 citations · 61 across the 16 of their papers we have counts for

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Showing 2022Show all

7 papers · 1 filter

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

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…

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

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…

cs.CV2022

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…