Search Results for author: Miaohui Wang

Found 12 papers, 2 papers with code

Blind Image Quality Assessment: A Brief Survey

no code implementations27 Dec 2023 Miaohui Wang

We believe this survey provides valuable understandings into the latest developments and emerging trends for the visual quality community.

Blind Image Quality Assessment

Prompt Engineering-assisted Malware Dynamic Analysis Using GPT-4

1 code implementation13 Dec 2023 Pei Yan, Shunquan Tan, Miaohui Wang, Jiwu Huang

As a significant representation of dynamic malware behavior, the API (Application Programming Interface) sequence, comprised of consecutive API calls, has progressively become the dominant feature of dynamic analysis methods.

Few-Shot Learning Language Modelling +2

Surface Geometry Processing: An Efficient Normal-based Detail Representation

no code implementations16 Jul 2023 Wuyuan Xie, Miaohui Wang, Di Lin, Boxin Shi, Jianmin Jiang

With the rapid development of high-resolution 3D vision applications, the traditional way of manipulating surface detail requires considerable memory and computing time.

Super-Resolution Texture Synthesis

CVSformer: Cross-View Synthesis Transformer for Semantic Scene Completion

no code implementations ICCV 2023 Haotian Dong, Enhui Ma, Lubo Wang, Miaohui Wang, Wuyuan Xie, Qing Guo, Ping Li, Lingyu Liang, Kairui Yang, Di Lin

In this paper, we propose Cross-View Synthesis Transformer (CVSformer), which consists of Multi-View Feature Synthesis and Cross-View Transformer for learning cross-view object relationships.

Object

Just Noticeable Visual Redundancy Forecasting: A Deep Multimodal-driven Approach

no code implementations18 Mar 2023 Wuyuan Xie, Shukang Wang, Sukun Tian, Lirong Huang, Ye Liu, Miaohui Wang

Just noticeable difference (JND) refers to the maximum visual change that human eyes cannot perceive, and it has a wide range of applications in multimedia systems.

Blind Multimodal Quality Assessment of Low-light Images

no code implementations18 Mar 2023 Miaohui Wang, Zhuowei Xu, Mai Xu, Weisi Lin

Qualitative and quantitative results on Dark-4K show that BMQA achieves superior performance to existing BIQA approaches as long as a pre-trained model is provided to generate text description.

4k Autonomous Driving +1

MNSRNet: Multimodal Transformer Network for 3D Surface Super-Resolution

no code implementations CVPR 2022 Wuyuan Xie, Tengcong Huang, Miaohui Wang

With the rapid development of display technology, it has become an urgent need to obtain realistic 3D surfaces with as high-quality as possible.

Super-Resolution

Advanced Geometry Surface Coding for Dynamic Point Cloud Compression

no code implementations11 Mar 2021 Jian Xiong, Hao Gao, Miaohui Wang, Hongliang Li, King Ngi Ngan, Weisi Lin

In video-based dynamic point cloud compression (V-PCC), 3D point clouds are projected onto 2D images for compressing with the existing video codecs.

Quality Classified Image Analysis with Application to Face Detection and Recognition

no code implementations19 Jan 2018 Fei Yang, Qian Zhang, Miaohui Wang, Guoping Qiu

We will present experimental results to show that our quality classified framework can accurately classify images based on the type and severity of image degradations and can significantly boost the performances of state-of-the-art face detector and recognizer in dealing with image datasets containing mixed quality images.

Face Detection

Image Super-resolution via Feature-augmented Random Forest

1 code implementation14 Dec 2017 Hailiang Li, Kin-Man Lam, Miaohui Wang

In this paper, we present a novel feature-augmented random forest (FARF) for image super-resolution, where the conventional gradient-based features are augmented with gradient magnitudes and different feature recipes are formulated on different stages in an RF.

Content-Based Image Retrieval Dictionary Learning +3

3D Surface Detail Enhancement From a Single Normal Map

no code implementations ICCV 2017 Wuyuan Xie, Miaohui Wang, Xianbiao Qi, Lei Zhang

In 3D reconstruction, the obtained surface details are mainly limited to the visual sensor due to sampling and quantization in the digitalization process.

3D Reconstruction Quantization

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