SCIoI in Antarctica! For a University of Oxford study on penguin behavior, Science of Intelligence PI Alex Kacelnik collaborated with PI Guillermo Gallego who provided SCIoI event cameras for better observation. The whole story here 👉 scienceofintelligence.de/news-scioi-in-…

Proud of Science of Intelligence members Friedhelm Hamann and Guillermo Gallego who gave a demonstration on event cameras at Futurium organized by Einstein Center Digital Future 📸 READ FULL ARTICLE 👉 scienceofintelligence.de/news-science-o… #sciencetwitter #neuroscience #intelligence #Science #scioi #Robotic #events

Very excited to visit #CVPR2023 in Vancouver🇨🇦. And I am glad to have the chance to present our work performed within Science of Intelligence and TU Berlin at the workshop on event-based vision tub-rip.github.io/eventvision202….

The #CVPR2023 Workshop on Event Vision was lots of fun yesterday! Great talks, posters and demos. Thank you all who made it possible! tub-rip.github.io/eventvision202… Kostas Daniilidis Davide Scaramuzza Cornelia Fermuller Davide Migliore Science of Intelligence Einstein Center Digital Future #eventcamera

#CVPR2024 Such a great effort by my wonderful students. Excellent finish. Good luck to all of you. What a great feeling, 31 years of CVPR deadlines :-)

High-speed color video with minimal bandwidth. Our ContinuityCam decompresses continuous color videos from single RGB frames and grayscale events. Events are all you need to upgrade images to high-speed video clips! cis.upenn.edu/~ziyunw/contin… Watch in big screen!

Our paper “Low-power, Continuous Remote Behavioral Localization with Event Cameras” is accepted at #CVPR2024. Page: tub-rip.github.io/eventpenguins/ Thanks to our collaborators from University of Oxford: Alex Kacelnik, Tom Hart, Ignacio (Nacho) Juárez, and to Guillermo Gallego, Suman Ghosh.

I am looking forward to presenting our work “Low-power, Continuous Remote Behavioral Localization with Event Cameras” this week at #CVPR2024 in Seattle. Page: cvpr.thecvf.com/virtual/2024/p… We'll also be at the CV4Science and CV4Animals workshops on Monday.

Motion-prior Contrast Maximization for Dense Continuous-Time Motion Estimation Trajectory prediction with event cam data combining Contrast Maximization with a non-linear motion prior and a solution for the high-dimensional assignment problem. arxiv.org/pdf/2407.10802 #ECCV2024

MouseSIS: A Frames-and-Events Dataset for Space-Time Instance Segmentation of Mice. A dataset with pixel-level aligned frames and events for tracking and segmentation. github.com/tub-rip/MouseS… #ECCV2024 NeVi Workshop

The Spatio-Temporal Instance Segmentation (SIS) Challenge starts today! The challenge is held in conjunction with the #CVPR2025 Workshop on Event-based Vision. Check it out!: codabench.org/competitions/5…

We released the code for our #CVPR2025 paper "ETAP: Event-based Tracking of Any Point". It's a method that can robustly track any point in a scene using only event data. Check it out!: github.com/tub-rip/ETAP