no code implementations • 28 Dec 2023 • Jianping Jiang, Xinyu Zhou, Peiqi Duan, Boxin Shi
The learned fusion module integrates event streams with image features in the form of a plug-in, endowing the RGB-based model to be robust to HDR and fast motion scenes while enabling high temporal resolution inference.
no code implementations • 13 Dec 2023 • Peiqi Duan, Boyu Li, Yixin Yang, Hanyue Lou, Minggui Teng, Yi Ma, Boxin Shi
Event cameras are emerging imaging technology that offers advantages over conventional frame-based imaging sensors in dynamic range and sensing speed.
no code implementations • ICCV 2023 • Jinxiu Liang, Yixin Yang, Boyu Li, Peiqi Duan, Yong Xu, Boxin Shi
With frame-based cameras, capturing fast-moving scenes without suffering from blur often comes at the cost of low SNR and low contrast.
1 code implementation • CVPR 2022 • Xinyu Zhou, Peiqi Duan, Yi Ma, Boxin Shi
This paper proposes to use neuromorphic events for correcting rolling shutter (RS) images as consecutive global shutter (GS) frames.
no code implementations • CVPR 2021 • Peiqi Duan, Zihao W. Wang, Xinyu Zhou, Yi Ma, Boxin Shi
EventZoom is trained in a noise-to-noise fashion where the two ends of the network are unfiltered noisy events, enforcing noise-free event restoration.