Xuexun Liu

I am a second year master student in the College of Computer Science and Software Engineering at Shenzhen University, advised by Prof. Xu Wang . In 2023, I obtained my B.Eng. in the College of MechaTronics and Control Engineering, Shenzhen University.

I am interested in computer vision and deep learning. Now I am focusing on 3D label-efficient scene understanding.

Email / Google Scholar / Github

News

2024-09: Our work on referring 3D segmentation is accepted to NeurIPS 2024.

Publications

* indicates equal contribution

LESS: Label-Efficient and Single-Stage Referring 3D Segmentation
Xuexun Liu*, Xiaoxu Xu*, Jinlong Li*, Qiudan Zhang , Xu Wang , Nicu Sebe , Lin Ma ,
Conference on Neural Information Processing Systems (NeurIPS), 2024
[arXiv] [Code]

[Project Page]

Projects

	Model Compression and Efficient Reasoning Xuexun Liu et al. Tencent Kaiwu Artificial Intelligence National Competition (Fifth place), 2023.11 [Competition Link] Implemented model compression techniques on neural networks incorporating CNN, LSTM, and Transformer architectures. Designed a lightweight student model, implementing knowledge distillation. Applied pruning, quantization, and fine-tuning methodologies, resulting in a model compressed to 10% of its original size while maintaining equivalent performance metrics.
	Unofficial implementation of "RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds" Xuexun Liu Open-source Project, 2023.05 [Code] An unofficial pytorch implementation of "RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds"
	Automatic Balance Small Bike Design Xuexun Liu et al. National College Student Intelligent Car Competition, National Finals, the First Prize, 2022.08 [Competition Link] Implemented I2C protocol to acquire gyroscope accelerometer data and applied Kalman filtering for attitude calculation. Designed cascade PID controllers for balancing and driving wheel DC motors. Developed a vision system using grayscale camera inputs with binarization and morphological processing. Applied Sobel edge detection to identify track features and generate optimal trajectories.
	Robot Navigation Simulation Xuexun Liu Curriculum Design & Open-source Project, 2022.06 [Code] Implemented robot navigation utilizing artificial potential field algorithm and its enhanced version. Designed and executed comprehensive simulations in MATLAB.
	BoxMan in JZ2440 Xuexun Liu Curriculum Design & Open-source Project, 2021.12 [Code] Developed LCD display interface programming, implemented ADC functionality to process touch screen inputs, and engineered image collision detection algorithms with corresponding collision response logic.

Honors and Awards

2023 Outstanding Graduates, Shenzhen University

2022 National Scholarship

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