699 citations
- Chinese Academy of SciencesCN71 papers
- University of Chinese Academy of SciencesCN53 papers
- Peking UniversityCN19 papers
- Tsinghua UniversityCN15 papers
- Monash UniversityAU8 papers
- Beihang UniversityCN7 papers
- University of Technology SydneyAU7 papers
- Hong Kong University of Science and TechnologyHK6 papers
- Saarland UniversityDE6 papers
- University of Hong KongHK6 papers
- Centre for Quantum Computation and Communication TechnologyAU5 papers
- Huawei Technologies (China)CN5 papers
16 papers · 1 filter
SharpNet: Enhancing MLPs to Represent Functions with Controlled Non-differentiability
Hanting Niu, Junkai Deng, Fei Hou +2
Multi-layer perceptrons (MLPs) are a standard tool for learning and function approximation, but they inherently produce globally smooth outputs. Consequently, they struggle to repr…
Features extraction for image identification using computer vision
Venant Niyonkuru, Sylla Sekou, Jimmy Jackson Sinzinkayo
This study examines various feature extraction techniques in computer vision, the primary focus of which is on Vision Transformers (ViTs) and other approaches such as Generative Ad…
Advancing Complex Wide-Area Scene Understanding with Hierarchical Coresets Selection
Jingyao Wang, Yiming Chen, Lingyu Si +1
Scene understanding is one of the core tasks in computer vision, aiming to extract semantic information from images to identify objects, scene categories, and their interrelationsh…
Removing Multiple Hybrid Adverse Weather in Video via a Unified Model
Yecong Wan, Mingwen Shao, Yuanshuo Cheng +2
Videos captured under real-world adverse weather conditions typically suffer from uncertain hybrid weather artifacts with heterogeneous degradation distributions. However, existing…
PLGS: Robust Panoptic Lifting with 3D Gaussian Splatting
Yu Wang, Xiaobao Wei, Ming Lu +1
Previous methods utilize the Neural Radiance Field (NeRF) for panoptic lifting, while their training and rendering speed are unsatisfactory. In contrast, 3D Gaussian Splatting (3DG…
CMFN: Cross-Modal Fusion Network for Irregular Scene Text Recognition
Jinzhi Zheng, Ruyi Ji, Libo Zhang +2
Scene text recognition, as a cross-modal task involving vision and text, is an important research topic in computer vision. Most existing methods use language models to extract sem…