6 papers
MambaH-Fit: Rethinking Hyper-surface Fitting-based Point Cloud Normal Estimation via State Space Modelling
Weijia Wang, Yuanzhi Su, Pei-Gen Ye +1
We present MambaH-Fit, a state space modelling framework tailored for hyper-surface fitting-based point cloud normal estimation. Existing normal estimation methods often fall short…
Language-Guided Abstraction for Visual Reasoning
Xu-Jing Ye, Yuan-Gen Wang, Ruping Wang
The Abstraction and Reasoning Corpus (ARC) is viewed as a critical avenue to Artificial General Intelligence (AGI), as it enables models to learn abstract transformation rules from…
Secure Video Quality Assessment Resisting Adversarial Attacks
Ao-Xiang Zhang, Yuan-Gen Wang, Yu Ran +3
The exponential surge in video traffic has intensified the imperative for Video Quality Assessment (VQA). Leveraging cutting-edge architectures, current VQA models have achieved hu…
Restoration of contaminated data in an Intensity Mapping survey using deep neural networks
Lin-Cheng Li, Jia-Yu Lin, Yuan-Gen Wang +1
21-cm Intensity Mapping (IM) is a promising approach to detecting information about the large-scale structure beyond the local universe. One of the biggest challenges for an IM obs…
Balanced Residual Distillation Learning for 3D Point Cloud Class-Incremental Semantic Segmentation
Yuanzhi Su, Siyuan Chen, Yuan-Gen Wang
Class-incremental learning (CIL) enables continuous learning of new classes while mitigating catastrophic forgetting of old ones. For the performance breakthrough of CIL, it is ess…
SemiDDM-Weather: A Semi-supervised Learning Framework for All-in-one Adverse Weather Removal
Fang Long, Wenkang Su, Zixuan Li +4
Adverse weather removal aims to restore clear vision under adverse weather conditions. Existing methods are mostly tailored for specific weather types and rely heavily on extensive…