52 citations
- City University of Hong KongHK3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Chinese Academy of SciencesCN2 papers
- Hong Kong Polytechnic UniversityHK2 papers
- Southeast UniversityCN2 papers
- Aalborg UniversityDK1 paper
- Academy of Mathematics and Systems ScienceCN1 paper
- Baidu (China)CN1 paper
- Beijing University of Civil Engineering and ArchitectureCN1 paper
- Beijing University of Posts and TelecommunicationsCN1 paper
- China Central TelevisionCN1 paper
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR1 paper
11 papers
See360: Novel Panoramic View Interpolation
Zhi-Song Liu, Marie-Paule Cani, Wan-Chi Siu
We present See360, which is a versatile and efficient framework for 360 panoramic view interpolation using latent space viewpoint estimation. Most of the existing view rendering ap…
Mega-cities dominate China's urban greening
Xiaoxin Zhang, Martin Brandt, Xiaoye Tong +10
Trees play a crucial role in urban environments, offering various ecosystem services that contribute to public health and human well-being. China has initiated a range of urban gre…
SoccerNet 2022 Challenges Results
Silvio Giancola, Anthony Cioppa, Adrien Deliège +91
The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team. In 2022, the challenges were composed of 6 vision-based tasks:…
Semi-Supervised Subspace Clustering via Tensor Low-Rank Representation
Yuheng Jia, Guanxing Lu, Hui Liu +1
In this letter, we propose a novel semi-supervised subspace clustering method, which is able to simultaneously augment the initial supervisory information and construct a discrimin…
Adaptive Attribute and Structure Subspace Clustering Network
Zhihao Peng, Hui Liu, Yuheng Jia +1
Deep self-expressiveness-based subspace clustering methods have demonstrated effectiveness. However, existing works only consider the attribute information to conduct the self-expr…
Deep Amended Gradient Descent for Efficient Spectral Reconstruction from Single RGB Images
Zhiyu Zhu, Hui Liu, Junhui Hou +2
This paper investigates the problem of recovering hyperspectral (HS) images from single RGB images. To tackle such a severely ill-posed problem, we propose a physically-interpretab…