Liang Xie

According to our database, Liang Xie authored at least 15 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Foreground-Aware Geometry Compression With Hybrid Attention for Large-Scale Point Clouds.

Liang Xie, Haoran Li, Baoliang Chen, Ge Li, Sam Kwong, Wei Gao

IEEE Trans. Broadcast., March, 2026

Slide Deformable Transformer for High-Precision LiDAR Point Cloud Compression.

Haoran Li, Lian Xu, Liang Xie, Wei Gao, Zhenwen Ren, Ge Li, Yulan Guo

IEEE Trans. Image Process., 2026

Mitigating Perception Bias: A Training-Free Approach to Enhance LMM for Image Quality Assessment.

Baoliang Chen, Siyi Pan, Dongxu Wu, Liang Xie, Xiangjie Sui, Lingyu Zhu, Hanwei Zhu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Deep Learning-Based Point Cloud Compression: An In-Depth Survey and Benchmark.

Wei Gao, Liang Xie, Songlin Fan, Ge Li, Shan Liu, Wen Gao

IEEE Trans. Pattern Anal. Mach. Intell., November, 2025

Efficient Geometry Compression and Communication for 3D Gaussian Splatting Point Clouds.

Liang Xie, Yanting Li, Luyang Tang, Wei Gao

CoRR, September, 2025

A Learning-based Multi-Frame Visual Feature Framework for Real-Time Driver Fatigue Detection.

Liang Xie, Songlin Fan

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Poster: Efficient Geometry Compression and Communication for 3D Gaussian Splatting Point Clouds.

Liang Xie, Yanting Li, Luyang Tang, Wei Gao

Proceedings of the 31st Annual International Conference on Mobile Computing and Networking, 2025

Poster: Automatically Generating High-Precision Simulated Road Networking in Traffic Scenario.

Liang Xie, Wenke Huang

Proceedings of the 31st Annual International Conference on Mobile Computing and Networking, 2025

DPCSet: A Large-scale Dynamic Point Cloud Dataset for Compression and Perception.

Wenxu Gao, Liang Xie, Kangli Wang, Jingxuan Su, Changhao Peng, Wei Gao

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

2024

ROI-Guided Point Cloud Geometry Compression Towards Human and Machine Vision.

Liang Xie, Wei Gao, Huiming Zheng, Ge Li

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

PCHMVision: An Open-Source Library of Point Cloud Compression for Human and Machine Vision.

Liang Xie, Wei Gao

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

LearningPCC: A PyTorch Library for Learning-Based Point Cloud Compression.

Liang Xie, Wei Gao

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Adaptive Intra Period Size for Deep Learning-Based Screen Content Video Coding.

Yuyang Wu, Liang Xie, Shangkun Sun, Wei Gao, Yiqiang Yan

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

PDNet: Parallel Dual-branch Network for Point Cloud Geometry Compression and Analysis.

Liang Xie, Wei Gao, Songlin Fan, Zhaojian Yao

Proceedings of the Data Compression Conference, 2024

2022

OpenPointCloud: An Open-Source Algorithm Library of Deep Learning Based Point Cloud Compression.

Wei Gao, Hua Ye, Ge Li, Huiming Zheng, Yuyang Wu, Liang Xie

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022