Piotr Wzorek

Piotr Wzorek

Msc Piotr Wzorek
Research and teaching assistant
PhD Student
pwzorek@agh.edu.pl

I focus on hardware acceleration for computer vision systems, with particular interest in event-based (neuromorphic) vision and deep neural network solutions. My work covers algorithm design tailored to the target platform, as well as the implementation and verification of hardware modules on reconfigurable FPGA platforms.

Computer Vision Deep Neural Networks Event Cameras FPGA Hardware Acceleration Neuromorphic Vision

Experience

  1. Research and teaching assistant

    AGH University of Kraków
    Conducting research and teaching on artificial intelligence acceleration for embedded platforms, perception systems, and reconfigurable logic.

  1. FPGA Engineer

    Semihalf sp. z o.o.
    Hardware implementation and verification of high-performance 100Gbps NIC on FPGA platforms, logic design and development, simulation, and hardware testing.

Education

  1. PhD candidate

    AGH Doctoral School, AGH University of Kraków
    Automation, Electronics, Electrical Engineering, and Space Technologies

  1. Master of Science

    AGH University of Kraków
    Automatic Control and Robotics / Intelligent Control Systems

  1. Bachelor of Engineering

    AGH University of Kraków
    Automatic Control and Robotics

Awards

  1. Obtaining NCN PRELUDIUM Grant

    Polish National Science Centre
    Project titled Hardware-Aware Neural Network Design for Event-Based Object Detection

  1. AMD Open Hardware Design Competition 2024 - Winner in PhD category

    Advanced Micro Devices (AMD)
    Project titled Graph Convolutional Neural Networks for Event Based Vision for AMD SoC FPGA

  1. Best Paper Presentation Award - IEEE SPA conference 2022

    Institute of Electrical and Electronics Engineers (IEEE)
    Presentation titled "Traffic sign detection with event cameras and DCNN"

Publications

2024

  1. Optimising graph representation for hardware implementation of graph convolutional networks for event-based vision
    Kamil Jeziorek, Piotr Wzorek, Krzysztof Blachut, Andrea Pinna, and Tomasz Kryjak
    In , Sep 2024
    DOI

2023

  1. Pedestrian detection with high-resolution event camera
    Piotr Wzorek and Tomasz Kryjak
    Sep 2023
    DOI

2022

  1. Accelerated training of object detection DNNs for embedded vision systems
    Michal Machura, Piotr Wzorek, Tomasz Kryjak, and Marek Gorgon
    In , Sep 2022
  2. Playing cards and bidding calls detection for automatic registration of a duplicate bridge game
    Piotr Wzorek and Tomasz Kryjak
    In , Sep 2022
  3. Traffic sign detection with event cameras and DCNN
    Piotr Wzorek and Tomasz Kryjak
    In , Sep 2022
    DOI

2021

  1. Training dataset generation for automatic registration of a duplicate bridge game
    Piotr Wzorek and Tomasz Kryjak
    Zeszyty Studenckiego Towarzystwa Naukowego, Sep 2021