Xiaowei Song   宋枭炜

I am a Second-year Computer Science Master's student at CAD Research Center, Tongji University.

I did my B.Sc. in Compter Science and Technology at Shanghai University.

My research interests are computer vision, machine learning and multimodal generation, specifically, learning-based methods for 3D implicit representation, 3D Gaussian Splatting, Generation, etc.

If you find any research interests that we might share, feel free to drop me an email. I am always open to potential collaborations.

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Short Bio
I am a M.Sc student in Computer Science at CAD Research Center, Tongji University.

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News
[12/2023] I have been on a research internship at Institute for Al Industry Research (AIR), Tsinghua University.
[01/2024] I have become an intern in the Data Computing department of the Artificial Intelligence Centre at haomo.ai.

Research

Much of my research is about inferring the physical world (shape, motion, color, light, etc) from images and 3D raw data. Representative papers are highlighted.

SA-GS: Scale-Adaptive Gaussian Splatting for Training-Free Anti-Aliasing
Xiaowei Song, Jv Zheng, Shiran Yuan, Huan-ang Gao, Jingwei Zhao, Xiang He, Weihao Gu, Hao Zhao
2024/03   Under Review
[Project Page] [Code]

A training-free approach that can be directly applied to the inference process of any pretrained 3DGS model to resolve its visual artefacts at drastically changed rendering settings.

AutoRF Adaptation for KITTI360 Dataset
Xiaowei Song
2023/12
code(coming soon)

Using AutoRF, I replicated its performance on the KITTI360 dataset. This involved data type loading, camera coordinate system conversion and NOCS spatial transformation.

LLM Science Exam - Use LLMs to answer difficult science questions
Xiaowei Song, Xiaohan Yan, Nan Wang
Kaggle, 2023/10
code

We gather the wiki pedia knowledge about science questions to make it into a OpenBook Q&A question, then we make three Deberta models with different finetuning and combine their output features to infer the right answer.

Stable Diffusion - Image to Prompts
Xiaowei Song, Xiaohan Yan, Nan Wang
Kaggle, 2023/05
code

We use a integration of ViT OFA and BLIP to make predictions on a dataset containing a wide variety of (prompt, image) pairs generated by Stable Diffusion 2.0.

HUAWEIRobot planning for CodeCraft
Xiaowei Song, Xiaohan Yan, Nan Wang
CodeCraft, 2023/04
code

This project is about HUAWEI robots application, the project requires us to assign policies, control scheduling, and path planning for multiple robots in a single map.

Research on Task-aligned Object Detection
Xiaowei Song
Shanghai Excellent Graduation Design, 2022/04
code

To study the problem of inconsistency between the regions of interest of the classification head and localization head for single-stage target detection. Propose (1) a training strategy for positive sample point regression frame center clustering and positive sample point semantic center weighting (2) a consistent optimization method for quadratic regression optimization frame quality. Eventually the proposed method outperformed the baseline in both accuracy and recall and became the SOTA for the task at that time.

Other Honors🏆/Interest😏

        I led the team to win the second prize of the 19th Graduate Student Mathematical Modeling Contest in China.
        I like playing Soccer⚽ and I am a fan of Lionel Messi.
        badminton🏸, tennis🎾, frisbee🥏 and etc.
Last updated on 2023/12/18