Dataset for Reproduce "v2e: From Video Frames to Realistic DVS Events"

This dataset release is meant for reproducing the results in our paper "v2e: From Video Frames to Realistic DVS Events". The paper is published in The Third International Workshop on Event-Based Vision. Please check out DATASET_README.md for more information. The code that accompanies the dataset is published here. If you use this dataset, please cite: Y. Hu, S-C. Liu, and T. Delbruck. v2e: From Video Frames to Realistic DVS Events. In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021. Y. Hu, T. Delbruck, S-C. Liu, "Learning to Exploit Multiple Vision Modalities by Using Grafted Networks" in The 16th European Conference on Computer Vision (ECCV), Online, 2020.

This work was funded by the Swiss National Competence Center in Robotics (NCCR Robotics).

Related Organizations

ETH Zurich
Switzerland
Language Center of UZH and ETH Zürich
Switzerland
University of Zurich
Switzerland
Institute of Neuroinformatics UZH + ETH Zurich
Switzerland

Keywords

simulator, Deep Learning, v2e, Computer Vision, Dynamic Vision Sensor

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