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Zhijun Fang
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Publications
- 2026
[j125]Yihan Wang, Yongfang Wang
, Shuo Zhu, Zhijun Fang:
Towards LiDAR point cloud geometry compression using rate-distortion optimization and adaptive quantization for human-machine vision. Displays 92: 103344 (2026)
[j124]Yihan Wang, Yongfang Wang
, Zhijun Fang, Tengyao Cui:
Towards point cloud geometry compression via global-local and multi-scale feature learning. Digit. Signal Process. 173: 105913 (2026)
[j121]Haoran He, Yongfang Wang, Wei Chen
, Zixuan Li, Zhijun Fang:
Large-scale generative dataset, benchmark, and edge-empowered transformer for crack detection. Inf. Sci. 735: 123054 (2026)- 2024
[j95]Yihan Wang
, Yongfang Wang, Tengyao Cui
, Zhijun Fang:
Occupancy map-based low complexity motion prediction for video-based point cloud compression. J. Vis. Commun. Image Represent. 100: 104110 (2024)
[j90]Yihan Wang
, Yongfang Wang
, Tengyao Cui
, Zhijun Fang
:
Fast Video-Based Point Cloud Compression Based on Early Termination and Transformer Model. IEEE Trans. Emerg. Top. Comput. Intell. 8(3): 2336-2348 (2024)- 2023
[c27]Shuyu Xiao, Yongfang Wang, Yinhan Wang, Zhijun Fang:
Perceptual Blind Panoramic Image Quality Assessment Based on Super-Pixel. IFTC (2) 2023: 28-38
[c26]Shuo Zhu, Yongfang Wang, Wei Chen, Zhijun Fang:
MFNCA: Multi-level Fusion Network Based on Cross Attention for 3D Point Cloud Object Detection. IFTC (1) 2023: 271-283- 2022
[c25]Yingjie Yang, Yongfang Wang, Junjie Lian, Zhijun Fang:
Pyramid Channel Attention Combined Adaptive Multi-column Network for SISR. IFTC 2022: 180-190
[c24]Shiyan Sun, Yongfang Wang, Tengyao Cui, Zhijun Fang:
Deep Flow-Guided Video Dehazing Based on Multi-scale Recurrent Network. IFTC 2022: 353-364- 2006
[j2]Yongfang Wang, Songyu Yu, Xiaokang Yang, Daowen Zou, Zhijun Fang:
H/∞-optimal model for VBR video traffic prediction. IEEE Trans. Consumer Electron. 52(3): 1078-1083 (2006)

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last updated on 2026-03-06 21:37 CET by the dblp team
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