Media Summary: This video is deprecated. For the newer video for the updated paper, please visit ==== This video ... Authors: Simon Klenk; David Bonello; Lukas Koestler; Nikita Araslanov; Daniel Cremers Description: In this keynote held at the 2024 International Conference on Computational Photography, Prof. Davide Scaramuzza from the ...

Event Camera Data Pre Training - Detailed Analysis & Overview

This video is deprecated. For the newer video for the updated paper, please visit ==== This video ... Authors: Simon Klenk; David Bonello; Lukas Koestler; Nikita Araslanov; Daniel Cremers Description: In this keynote held at the 2024 International Conference on Computational Photography, Prof. Davide Scaramuzza from the ... N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Courtesy presentation at CVPRW 2021. Reference: F. Paredes-Vallés and G. C. H. E. de Croon Back to We present the first static-obstacle avoidance method for quadrotors using just an onboard, monocular

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Event Camera Data Pre-training
Difference between traditional and event cameras
How to Train Your Event Camera Neural Network
Masked Event Modeling: Self-Supervised Pretraining for Event Cameras
Video to Events: Recycling Video Datasets for Event Cameras (CVPR20 1-min Video Pitch)
EventGAN: Leveraging Large Scale Image Datasets for Event Cameras
Metavision Training Videos | Focusing an Event Camera
Event Camera Data Pre-training
How To See With An Event Camera - Cedric Scheerlinck PhD Talk
Event Cameras: a New Way of Sensing - Davide Scaramuzza - ICCP 2024 Keynote
Learning Monocular Dense Depth from Events (3DV 2020)
N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras
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