The E2VID model offers a solution by transforming event data into con- tinuous video frames, enabling the use of standard CNNs for event-based data analysis.
Jul 15, 2024 · In response, we introduce TIME-E2V, which integrates spatial embeddings from E2VID with LSTM-derived temporal embeddings from frame timestamps.
The purpose of this paper is twofold: 1) to give conditions under which linear feedback control of a plant containing integrator must overshoot; ...
The E2VID model offers a solution by transforming event data into continuous video frames, enabling the use of standard CNNs for event-based data analysis.
Co-authors ; Time-e2v: Overcoming limitations of e2vid. M Adra, JL Dugelay ; Beyond RGB: Tri-Modal Microexpression Recognition with RGB, Thermal, and Event Data.
Publications. Publication (1). TIME-E2V: Overcoming limitations of E2VID. Conference Paper. Jul 2024. Mira Adra · Jean-Luc Dugelay.
My First IEEE Conference Experience! I had the amazing opportunity to present our research paper, titled "TIME-E2V: Overcoming limitations of E2VID" at ...
My First IEEE Conference Experience! I had the amazing opportunity to present our research paper, titled "TIME-E2V: Overcoming limitations of E2VID" at…
Recent Event Camera Innovations: A Survey · TIME-E2V: Overcoming limitations of E2VID · EventPointMesh: Human Mesh Recovery Solely From Event Point Clouds.
This is the code for the paper High Speed and High Dynamic Range Video with an Event Camera by Henri Rebecq, Rene Ranftl, Vladlen Koltun and Davide Scaramuzza.
Missing: Overcoming limitations