works on

From the 1 of 6 linked papers with an AI index.

activity
20242026
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6 papers

cs.CV2026

Thresholded Cross-Attention for Reliable Intensity-Chromaticity Fusion in Low-Light Image Enhancement

Yanyi Wu, Xu Zhang, Junkai Chen +6

The paper introduces TCA-Net, which uses a thresholded cross-attention mechanism to more reliably fuse intensity and chromaticity information for low-light image enhancement, impro…

eess.IV2025

Enhanced Quality Aware-Scalable Underwater Image Compression

Linwei Zhu, Junhao Zhu, Xu Zhang +4

Underwater imaging plays a pivotal role in marine exploration and ecological monitoring. However, it faces significant challenges of limited transmission bandwidth and severe disto…

cs.CV2025

Hierarchical Graph Attention Network for No-Reference Omnidirectional Image Quality Assessment

Hao Yang, Xu Zhang, Jiaqi Ma +3

Current Omnidirectional Image Quality Assessment (OIQA) methods struggle to evaluate locally non-uniform distortions due to inadequate modeling of spatial variations in quality and…

cs.MM2025

Deep-JGAC: End-to-End Deep Joint Geometry and Attribute Compression for Dense Colored Point Clouds

Yun Zhang, Zixi Guo, Linwei Zhu +1

Colored point cloud becomes a fundamental representation in the realm of 3D vision. Effective Point Cloud Compression (PCC) is urgently needed due to huge amount of data. In this p…

eess.IV2024

LFIC-DRASC: Deep Light Field Image Compression Using Disentangled Representation and Asymmetrical Strip Convolution

Shiyu Feng, Yun Zhang, Linwei Zhu +1

Light-Field (LF) image is emerging 4D data of light rays that is capable of realistically presenting spatial and angular information of 3D scene. However, the large data volume of…

cs.MM2024

TSC-PCAC: Voxel Transformer and Sparse Convolution Based Point Cloud Attribute Compression for 3D Broadcasting

Zixi Guo, Yun Zhang, Linwei Zhu +2

Point cloud has been the mainstream representation for advanced 3D applications, such as virtual reality and augmented reality. However, the massive data amounts of point clouds is…