9 citations · 29 across the 27 of their papers we have counts for
29 papers
Adaptive Observation Control for Active Visual Recognition
Dikai Li, Weijia Wang, Yuan-Gen Wang
Visual recognition models usually process a fixed view under a fixed computation budget, although images often benefit from different scales and amounts of spatial evidence. Active…
Cross-Scenario Industrial Defect Detection via Domain-Robust Training and Metric-Aligned Selection
Dikai Li, Weijia Wang, Yuan-Gen Wang
Automated defect detection of industrial boards must remain highly reliable under cross-scenario variations in lighting, surface contaminants, and production line conditions. This…
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…
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…
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…
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…
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…
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…
Image Super-Resolution with Taylor Expansion Approximation and Large Field Reception
Jiancong Feng, Yuan-Gen Wang, Mingjie Li +1
Self-similarity techniques are booming in blind super-resolution (SR) due to accurate estimation of the degradation types involved in low-resolution images. However, high-dimension…
CLIPVQA:Video Quality Assessment via CLIP
Fengchuang Xing, Mingjie Li, Yuan-Gen Wang +2
In learning vision-language representations from web-scale data, the contrastive language-image pre-training (CLIP) mechanism has demonstrated a remarkable performance in many visi…
-norm Distortion-Efficient Adversarial Attack
Chao Zhou, Yuan-Gen Wang, Zi-jia Wang +1
Adversarial examples have shown a powerful ability to make a well-trained model misclassified. Current mainstream adversarial attack methods only consider one of the distortions am…
Query-Efficient Hard-Label Black-Box Attack against Vision Transformers
Chao Zhou, Xiaowen Shi, Yuan-Gen Wang
Recent studies have revealed that vision transformers (ViTs) face similar security risks from adversarial attacks as deep convolutional neural networks (CNNs). However, directly ap…
FRRffusion: Unveiling Authenticity with Diffusion-Based Face Retouching Reversal
Fengchuang Xing, Xiaowen Shi, Yuan-Gen Wang +1
Unveiling the real appearance of retouched faces to prevent malicious users from deceptive advertising and economic fraud has been an increasing concern in the era of digital econo…
Adaptive Mixed-Scale Feature Fusion Network for Blind AI-Generated Image Quality Assessment
Tianwei Zhou, Songbai Tan, Wei Zhou +3
With the increasing maturity of the text-to-image and image-to-image generative models, AI-generated images (AGIs) have shown great application potential in advertisement, entertai…
Black-box Adversarial Attacks Against Image Quality Assessment Models
Yu Ran, Ao-Xiang Zhang, Mingjie Li +2
The goal of No-Reference Image Quality Assessment (NR-IQA) is to predict the perceptual quality of an image in line with its subjective evaluation. To put the NR-IQA models into pr…
CPDM: Content-Preserving Diffusion Model for Underwater Image Enhancement
Xiaowen Shi, Yuan-Gen Wang
Underwater image enhancement (UIE) is challenging since image degradation in aquatic environments is complicated and changing over time. Existing mainstream methods rely on either…
Vulnerabilities in Video Quality Assessment Models: The Challenge of Adversarial Attacks
Ao-Xiang Zhang, Yu Ran, Weixuan Tang +1
No-Reference Video Quality Assessment (NR-VQA) plays an essential role in improving the viewing experience of end-users. Driven by deep learning, recent NR-VQA models based on Conv…
NLCUnet: Single-Image Super-Resolution Network with Hairline Details
Jiancong Feng, Yuan-Gen Wang, Fengchuang Xing
Pursuing the precise details of super-resolution images is challenging for single-image super-resolution tasks. This paper presents a single-image super-resolution network with hai…
StarVQA+: Co-training Space-Time Attention for Video Quality Assessment
Fengchuang Xing, Yuan-Gen Wang, Weixuan Tang +2
Self-attention based Transformer has achieved great success in many computer vision tasks. However, its application to video quality assessment (VQA) has not been satisfactory so f…
Object-Attentional Untargeted Adversarial Attack
Chao Zhou, Yuan-Gen Wang, Guopu Zhu
Deep neural networks are facing severe threats from adversarial attacks. Most existing black-box attacks fool target model by generating either global perturbations or local patche…
HVS Revisited: A Comprehensive Video Quality Assessment Framework
Ao-Xiang Zhang, Yuan-Gen Wang, Weixuan Tang +2
Video quality is a primary concern for video service providers. In recent years, the techniques of video quality assessment (VQA) based on deep convolutional neural networks (CNNs)…
A simulation experiment of a pipeline based on machine learning for neutral hydrogen intensity mapping surveys
Lin-Cheng Li, Yuan-Gen Wang
We present a simulation experiment of a pipeline based on machine learning algorithms for neutral hydrogen (HI) intensity mapping (IM) surveys with different telescopes. The simula…
Query-Efficient Adversarial Attack Based on Latin Hypercube Sampling
Dan Wang, Jiayu Lin, Yuan-Gen Wang
In order to be applicable in real-world scenario, Boundary Attacks (BAs) were proposed and ensured one hundred percent attack success rate with only decision information. However,…
Multi-feature Co-learning for Image Inpainting
Jiayu Lin, Yuan-Gen Wang, Wenzhi Tang +1
Image inpainting has achieved great advances by simultaneously leveraging image structure and texture features. However, due to lack of effective multi-feature fusion techniques, e…