People

Guillermo Gallego

Principal Investigator

Computer Vision

TU Berlin

Email:
guillermo.gallego@tu-berlin.de

Photo: SCIoI

← People Overview

Guillermo Gallego

Photo: SCIoI

Guillermo Gallego is Professor of Robotic Interactive Perception at Technische Universität Berlin and Einstein Center Digital Future (ECDF). For SCIoI, he works on computer vision and robotics. He focuses on robot perception and on optimization methods for interdisciplinary imaging and control problems. Inspired by the human visual system, he works toward improving the perception systems of artificial agents, endowing them with intelligence to transform raw sensor data into knowledge, to provide autonomy in changing environments.

Projects

Guillermo Gallego is member of Project 36.

Publications +

Wischow, M., Irmisch, P., Boerner, A., & Gallego, G. (2024). Real-Time Noise Source Estimation of a Camera Systemfrom an Image and Metadata. Advanced Intelligent Systems, 2300479, 1–15. https://doi.org/10.1002/aisy.202300479

Shiba, S., Klose, Y., Aoki, Y., & Gallego, G. (2024). Secrets of Event-based Optical Flow, Depth and Ego-motion Estimation by Contrast Maximization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1–18. https://doi.org/10.1109/TPAMI.2024.3396116

Guo, S., & Gallego, G. (2024). CMax-SLAM: Event-based Rotational-Motion Bundle Adjustment and SLAM System using Contrast Maximization. IEEE Transactions on Robotics. https://doi.org/10.1109/TRO.2024.3378443

Wang, Z., Hamann, F., Chaney, K., Jiang, W., Gallego, G., & Daniilidis, K. (2024). Event-based Continuous Color Video Decompression from Single Frames. submitted for review. https://doi.org/10.48550/arXiv.2312.00113

Ren, Z., Liao, B., Kong, D., Li, J., Liu, P., Kneip, L., Gallego, G., & Zhou, Y. (2024). Motion and Structure from Event-based Normal Flow. European Conference on Computer Vision (ECCV).

Hamann, F., Wang, Z., Asmanis, I., Chaney, K., Gallego, G., & Daniilidis, K. (2024). Motion-prior Contrast Maximization for Dense Continuous-Time Motion Estimation. European Conference on Computer Vision (ECCV).

Hamann, F., Ghosh, S., Martínez, I. J., Hart, T., Kacelnik, A., & Gallego, G. (2024). Low-power, Continuous Remote Behavioral Localization with Event Cameras. CVPR. https://doi.org/10.48550/arXiv.2312.03799

Guo, S., & Gallego, G. (2024). Event-based Mosaicing Bundle Adjustment. European Conference on Computer Vision (ECCV).

Shiba, S., Hamann, F., Aoki, Y., & Gallego, G. (2023). Event-based Background-Oriented Schlieren. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1–16. https://doi.org/10.1109/TPAMI.2023.3328188

Zhang, Z., Yezzi, A., & Gallego, G. (2022). Formulating Event-based Image Reconstruction as a Linear Inverse Problem with Deep Regularization using Optical Flow. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/TPAMI.2022.3230727

Shiba, S., Aoki, Y., & Gallego, G. (2022). Fast Event-based Optical Flow Estimation by Triplet Matching. Signal Processing Letters, 29, 2712–2716. https://doi.org/10.1109/LSP.2023.3234800

Shiba, S., Aoki, Y., & Gallego, G. (2022). A Fast Geometric Regularizer to Mitigate Event Collapse in the Contrast Maximization Framework. Advanced Intelligent Systems, 11. https://doi.org/10.1002/aisy.202200251

Hamann, F., & Gallego, G. (2022). Stereo Co-capture System for Recording and Tracking Fish with Frame- and Event Cameras. International Conference on Pattern Recognition (ICPR), Workshop on Visual observation and analysis of Vertebrate And Insect Behavior. https://arxiv.org/abs/2207.07332

Ghosh, S., & Gallego, G. (2022). Event-based Stereo Depth Estimation from Ego-motion using Ray Density Fusion. ECCVW Ego4D 2022. https://arxiv.org/abs/2210.08927

Shiba, S., Aoki, Y., & Gallego, G. (2022). Secrets of Event-Based Optical Flow. European Conference on Computer Vision (ECCV), 628–645. https://doi.org/10.1007/978-3-031-19797-0_36

Gu, C., Learned-Miller, E., Gallego, G., Sheldon, D., & Bideau, P. (2021). The Spatio-Temporal Poisson Point process: A simple Model for the Alignment of Event Camera Data. International Conference on Computer Vision (ICCV), 13495–13504. https://doi.org/10.1109/ICCV48922.2021.01324

Grants and Awards +

Outstanding Associate Editor (IEEE Robotics Automation Letters, 2021)

Scientific Talks +

PI Lecture - Guillermo Gallego (Science of Intelligence), ” Beyond the Blink – New Applications and Methods for Event Cameras”

PI Lecture - Guillermo Gallego (SCIoI): “Spatial AI and Event-based Vision”

Public Engagement +

For the public - Berlin Science Week Talk, Guillermo Gallego: Giving Robots T-Rex-Inspired Eyes

For the Public - Science of Intelligence Fair 2023

Press Coverage +

All electronics – June 2023 - Neue Art von Kamera bringt Robotern das menschliche Sehen bei

Tu Berlin – June 2023 - Eventkameras: eine völlig neue Art zu fotografieren

Der Tagesspiegel – November 2020 - Roboter mit Sinn für Orientierung