Skip to content
View EdwardLeeLPZ's full-sized avatar
🎯
Focusing
🎯
Focusing
16 followers · 12 following

Achievements

Achievement: Starstruck

Achievements

Achievement: Starstruck

Block or report EdwardLeeLPZ

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
EdwardLeeLPZ/README.md

🌟 Peizheng Li 🌟

Hey there👋 This is Peizheng Li, a PhD student with the Scene Understanding Group at Mercedes-Benz R&D, as well as the Cognitive Systems Group at University of Tübingen, where I am advised by Prof. Andreas Zell.

  • 🔭 I’m currently working on Open World Model for Autonomous Driving
  • 🌱 I’m currently learning how to produce high quality research
  • 👯 I'm looking for collaboration in computer vision, LiDAR, autonomous driving, etc.
  • 💬 Ask me about
    • Perception and Prediction
    • Autonomous Driving
    • Un- / Self-supervised Learning
    • Machine Learning / Deep Learning
  • 📫 How to reach me: edwardleelpz.github.io

🛠️ Tech & Tools Preference

💻 Languages

📚 Publications

  1. PowerBEV: A Powerful yet Lightweight Framework for Instance Prediction in Bird's-Eye View
    Peizheng Li, Shuxiao Ding, Xieyuanli Chen, Niklas Hanselmann, Marius Cordts, Jürgen Gall
    In Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence(IJCAI), 2023
  2. SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving
    Qingwen Zhang, Yi Yang, Peizheng Li, Olov Andersson, Patric Jensfelt
    In European Conference on Computer Vision(ECCV), 2024

📈 Statistics

Popular repositories Loading

  1. PowerBEV PowerBEV Public

    POWERBEV, a novel and elegant vision-based end-to-end framework that only consists of 2D convolutional layers to perform perception and forecasting of multiple objects in BEVs.

    Python 84 18

  2. Human-Activity-Recognition Human-Activity-Recognition Public

    A project based on smart phone sensors that uses deep residual neural networks to recognize human activities

    Python 5 2

  3. Diabetic-Retinopathy-Detection Diabetic-Retinopathy-Detection Public

    A project that uses deep convolutional neural networks to automatically diagnose diabetic retinopathy.

    Python 1 1

  4. Domain-Adaptation Domain-Adaptation Public

    A domain adaptation project based on context and global prototype developed on Detectron2

    Python 1

  5. Context-Experiments Context-Experiments Public

    Several experiments that analyze the influence of context on the detection effect and separate contextual information from features

    Python

  6. EdwardLeeLPZ.github.io EdwardLeeLPZ.github.io Public

    HTML