World's Best Scientists 2026 revealed!
Tobi Delbruck

Tobi Delbruck

Award Badge
Computer Science
Switzerland
2025

D-Index & Metrics

Computer Science

D-Index
64
Citations
22063
World Ranking
2544
National Ranking
60

Electronics and Electrical Engineering

D-Index
64
Citations
22086
World Ranking
1265
National Ranking
29

Research.com Recognitions

  • 2025 - Research.com Computer Science in Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award

Overview

Tobi Delbruck is affiliated with ETH Zurich in Switzerland and has contributed extensively to research in engineering and computer science. Their work primarily focuses on electrical and electronic engineering, artificial intelligence, computer vision and pattern recognition, cellular and molecular neuroscience, and cognitive neuroscience.

Delbruck's research spans several main topics, including advanced memory and neural computing, CCD and CMOS imaging sensors, ferroelectric and negative capacitance devices, neuroscience and neural engineering, advanced neural network applications, neural networks and reservoir computing, as well as machine learning and extreme learning machines (ELM).

The scientist has coauthored with several frequent collaborators, such as Shih-Chii Liu, Rui Graca, Chang Gao, Brian McReynolds, and Yuhuang Hu. This network reflects interdisciplinary cooperation across various areas within engineering and neuroscience.

Tobi Delbruck's publications are found in a range of venues, with notable contributions to:

  • arXiv (Cornell University)
  • Zurich Open Repository and Archive (University of Zurich)
  • IEEE Journal on Emerging and Selected Topics in Circuits and Systems
  • IEEE Journal of Solid-State Circuits
  • Zenodo (CERN European Organization for Nuclear Research)

Among their recent papers are:

  • Event-based Vision: A Survey (2020), Zurich Open Repository and Archive (University of Zurich)
  • EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference (2020), IEEE Journal on Emerging and Selected Topics in Circuits and Systems
  • Spartus: A 9.4 TOp/s FPGA-Based LSTM Accelerator Exploiting Spatio-Temporal Sparsity (2022), IEEE Transactions on Neural Networks and Learning Systems
  • EDFLOW: Event Driven Optical Flow Camera With Keypoint Detection and Adaptive Block Matching (2022), IEEE Transactions on Circuits and Systems for Video Technology
  • Experimental methods to predict dynamic vision sensor event camera performance (2022), Optical Engineering

Best Publications

  • A 128$\times$ 128 120 dB 15 $\mu$s Latency Asynchronous Temporal Contrast Vision Sensor

    Unknown

  • Event-based Vision: A Survey

    Guillermo Gallego;Tobi Delbruck;Garrick Michael Orchard;Chiara Bartolozzi

  • Neuromorphic Silicon Neuron Circuits

    Giacomo Indiveri;Bernabé Linares-Barranco;Tara Julia Hamilton;André van Schaik

  • Training Deep Spiking Neural Networks Using Backpropagation.

    Jun Haeng Lee;Tobi Delbruck;Michael Pfeiffer

  • A Low Power, Fully Event-Based Gesture Recognition System

    Arnon Amir;Brian Taba;David Berg;Timothy Melano

  • The event-camera dataset and simulator: Event-based data for pose estimation, visual odometry, and SLAM:

    Elias Mueggler;Henri Rebecq;Guillermo Gallego;Tobi Delbruck;Tobi Delbruck

  • Real-time classification and sensor fusion with a spiking deep belief network

    Peter O'Connor;Daniel Neil;Shih-Chii Liu;Tobi Delbruck

  • Retinomorphic event-based vision sensors: Bioinspired cameras with spiking output

    Christoph Posch;Teresa Serrano-Gotarredona;Bernabe Linares-Barranco;Tobi Delbruck

  • Neuromorphic sensory systems.

    Shih-Chii Liu;Tobi Delbruck

  • A 128 X 128 120db 30mw asynchronous vision sensor that responds to relative intensity change

    P. Lichtsteiner;C. Posch;T. Delbruck

  • White noise in MOS transistors and resistors

    R. Sarpeshkar;T. Delbruck;C.A. Mead

  • CAVIAR: A 45k Neuron, 5M Synapse, 12G Connects/s AER Hardware Sensory–Processing– Learning–Actuating System for High-Speed Visual Object Recognition and Tracking

    R. Serrano-Gotarredona;M. Oster;P. Lichtsteiner;A. Linares-Barranco

  • v2e: From Video Frames to Realistic DVS Events

    Yuhuang Hu;Shih-Chii Liu;Tobi Delbruck

  • Silicon retina with correlation-based, velocity-tuned pixels

    T. Delbruck

  • Activity-driven, event-based vision sensors

    Tobi Delbruck;Bernabe Linares-Barranco;Eugenio Culurciello;Christoph Posch

  • NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps

    Alessandro Aimar;Hesham Mostafa;Enrico Calabrese;Antonio Rios-Navarro

  • 'Bump' circuits for computing similarity and dissimilarity of analog voltages

    T. Delbruck

  • Frame-free dynamic digital vision

    Unknown

  • Event-Based Neuromorphic Systems

    Shih-Chii Liu;Tobi Delbruck;Giacomo Indiveri;Adrian Whatley

  • Robotic goalie with 3 ms reaction time at 4% CPU load using event-based dynamic vision sensor

    Tobi Delbruck;Manuel Lang

  • Analog VLSI Phototransduction by continuous-time, adaptive, logarithmic photoreceptor circuits

    T. Delbrück;C. A. Mead

  • Adaptive photoreceptor with wide dynamic range

    T. Delbruck;C.A. Mead

Frequent Co-Authors

Shih-Chii Liu
Shih-Chii Liu University of Zurich
Giacomo Indiveri
Giacomo Indiveri University of Zurich
Bernabé Linares-Barranco
Bernabé Linares-Barranco University of Seville
Paul F. M. J. Verschure
Paul F. M. J. Verschure Institució Catalana de Recerca i Estudis Avançats
Davide Scaramuzza
Davide Scaramuzza University of Zurich
Teresa Serrano-Gotarredona
Teresa Serrano-Gotarredona University of Seville
Michael Pfeiffer
Michael Pfeiffer Bosch Center for Artificial Intelligence
Carver A. Mead
Carver A. Mead California Institute of Technology
André van Schaik
André van Schaik Western Sydney University

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