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Stone Tong ZHANG

I am a MS student of University of California, Irvine and gain Bachelor of Computer Science and Engineering from Southern University of Science and Technology. My research interests include computer vision and multimodal learning. I am now deeply collaborate with Assistant Prof. Haohan Wang. I am currently applying for PhD! Feel free to contact me at any time.

Email Github Linkedin CV Research Statement

  • Sep. 2019-June 2023, "Southern University of Science and Technology", BEng, Computer Science and Engineering

  • Sep. 2023-June 2024, "University of California, Irvine", M.S., Computer Engineering

    • Academic Projects

    Human-Readable SVG Generation with Vision Language Models

    Assistant Prof. Haohan Wang, UIUC
    PyTorch
  • Developed S²VG², an innovative method integrating vision language models for scalable vector graphics (SVG) generation
  • Curated the SVG-SHAPE dataset to benchmark SVG generation and model reasoning capabilities
  • Demonstrated state-of-the-art performance in SVG reasoning of LLMs and vision metrics

    • One-shot Controllable Head Avatar Creation

    Prof. Xiaohui Xie, UCI
    PyTorch
  • Pioneered CVTHead, a framework for point-based neural rendering from monocular images
  • Conducted comprehensive benchmarks against leading methods for cross-identity reenactment
  • Demonstrated state-of-the-art approaches on VoxCeleb1 and VoxCeleb2, while additionally improving efficiency (Accepted by WACV2024)

    • Trajectory Prediction and Driving Video Caption

    Assistant Prof. Hao Zhao, THU
    NumPy, PyTorch
  • predicted trajectory on a new interactive motion dataset by AgentFormer and Trajectron++
  • trained a novel end-to-end transformer generated description and explanation of the video
  • demonstrated state-of-the-art performance (a co-authored paper accepted to ICRA 2023)

    • Capstone Projects

    Inference Acceleration for Face Detection Models

    C/C++ Programming and Design (CS205), SUSTech
    C++, AVX
  • re-implemented convolutional layer, fully connected layer and pooling layer by C++ and AVX
  • improved the inference speed by 60 times via replacement of operators

    • A Local Search Heuristic for the Capacitated Arc Routing Problem (CARP)

    Artificial Intelligence (CS303), SUSTech
    Python
  • proposed a new local search algorithm for CARP and accelerated it by multiprocessing
  • achieved the best performance in the online judge among more than 150 students

    • Professional Experience

    Lightweight OCR Models for OpenCV

    OpenCV@Google Summer of Code
    PyTorch, ONNX, C++
  • implemented the detection part of PP-OCRv2 model in OpenCV Zoo by ONNX
  • implemented high level C++ API of PP-OCRv2 model in OpenCV
  • implemented evaluation metrics of text detection (AP, Recall, Precision, Hmean) in OpenCV Zoo

    • Undergraduate Teaching Assistant

    CS102B, SUSTech
    Java
  • designed and graded half of assignments, final exam and project

    • Publications

  • Tong Zhang, Haoyang Liu, Peiyan Zhang, Yuxuan Cheng, and Haohan Wang, "Beyond Pixels: Exploring Human-Readable SVG Generation for Simple Images with Vision Language Models", Submitted to European Conference on Computer Vision (ECCV), 2024.
  • Haoyu Ma, Tong Zhang, Shanlin Sun, Xiangyi Yan, Kun Han, and Xiaohui Xie, "CVTHead: One-shot Controllable Head Avatar with Vertex-feature Transformer", IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024.
  • Bu Jin, Xinyu Liu, Yupeng Zheng, Pengfei Li, Hao Zhao, Tong Zhang, Yuhang Zheng, Guyue Zhou, and Jingjing Liu, "ADAPT: Action-aware Driving Caption Transformer", IEEE International Conference on Robotics and Automation (ICRA), 2023.

    • Expert Skills

  • Programming Languages: C++, Python, Java
  • Libraries/Software: PyTorch, NumPy, Latex
  • Knowledge: GAN, VAE, Transformer

    • Facts about Me

  • Hometown: Wuhan
  • Idol: Richard Feynman
  • Dream: To be a great researcher and design influential software
  • I enjoy finding potential topics from active discussions and am proud of my creativity.
    • This page has been accessed several times since Jan. 10, 2023.