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:
Publications +
2756394
Gallego
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19851
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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
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
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). Event Collapse in Contrast Maximization Frameworks. Sensors, 22(14), 1–20. https://doi.org/10.3390/s22145190
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
Hidalgo-Carrió, J., Gallego, G., & Scaramuzza, D. (2022). Event-aided Direct Sparse Odometry. IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 5771–5780. https://doi.org/10.1109/CVPR52688.2022.00569
Gallego, G., Delbruck, T., Orchard, G., Bartolozzi, C., Taba, B., Censi, A., Leutenegger, S., Davison, A., Conradt, J., Daniilidis, K., & Scaramuzza, D. (2022). Event-based Vision: A Survey. IEEE Transactions on Pattern Analysis and Machine Inteliigence, 44(1), 154–180. https://doi.org/10.1109/TPAMI.2020.3008413
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
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
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
Zhou, Y., Gallego, G., & Shen, S. (2021). Event-based Stereo Visual Odometry. IEEE Transactions on Robotics, 37(5), 1433–1450. https://doi.org/10.1109/TRO.2021.3062252
Outstanding Associate Editor (IEEE Robotics Automation Letters, 2021)
PI Lecture -
Guillermo Gallego (Science of Intelligence), ” Beyond the Blink – New Applications and Methods for Event Cameras”
PI Lecture -
Guillermo Gallego (Science of Intelligence), “Event-based Vision at the TU Berlin Robotic Interactive Perception Lab”
For the Public -
Science of Intelligence Fair 2023
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
Tagesspiegel – November 2020 - Künstliche Intelligenz: Mit Sinn für Orientierung
