Yang's Homepage
  • Bio
  • Papers
  • Talks
  • Experience
  • Contact
  • Projects
  • Projects
    • Pandas
    • PyTorch
    • scikit-learn
  • Experience
  • Blog
    • 🎉 Easily create your own simple yet highly customizable blog
    • 🧠 Sharpen your thinking with a second brain
    • 📈 Communicate your results effectively with the best data visualizations
    • 👩🏼‍🏫 Teach academic courses
    • ✅ Manage your projects
  • Publications
    • 3D quantum ghost imaging microscope
    • Moving quantum ghost imaging from demonstration to application
    • Coupling a recurrent neural network to SPAD TCSPC systems for real-time fluorescence lifetime imaging
    • Quantum ghost imaging microscopy depth-of-field study
    • Spiking Neural Networks for Active Time-Resolved SPAD Imaging
    • lncLocator 2.0: a cell-line-specific subcellular localization predictor for long non-coding RNAs with interpretable deep learning
  • Recent & Upcoming Talks
    • Transporter: A 128×4 SPAD Imager with On-chip Encoder for Spiking Neural Network-based Processing
    • Spiking Neural Networks for Active Time-Resolved SPAD Imaging
    • Real-time Recurrent Neural Network-based Fluorescence Lifetime Imaging with SPAD Sensors
    • Real-time neural network-based fluorescence lifetime imaging with SPAD sensors
  • Teaching
    • Learn JavaScript
    • Learn Python

Spiking Neural Networks for Active Time-Resolved SPAD Imaging

Jan 1, 2024·
Yang Lin
Yang Lin
,
Edoardo Charbon
· 0 min read
PDF Cite
Type
0
Publication
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision
Last updated on Apr 3, 2025
Yang Lin
Authors
Yang Lin
Doctoral Assistant
← Quantum ghost imaging microscopy depth-of-field study Jan 1, 2024
lncLocator 2.0: a cell-line-specific subcellular localization predictor for long non-coding RNAs with interpretable deep learning Jan 1, 2021 →

© 2025 Me. This work is licensed under CC BY NC ND 4.0

Published with Hugo Blox Builder — the free, open source website builder that empowers creators.