Mar 7, 2023 � We propose an attention-aware model named Event Voxel Set Transformer (EVSTr) for efficient spatiotemporal representation learning on event streams.
It first converts the event stream into voxel sets and then hierarchically aggregates voxel features to obtain robust representations. The core of EVSTr is an�...
To this end, we propose an attention-aware model named Event Voxel Set Transformer (EVSTr) for efficient spatiotemporal representation learning on event streams�...
It first converts the event stream into a voxel set and then hierarchically aggregates voxel features to obtain robust representations. The core of EVSTr is an�...
Sep 3, 2024 � This paper introduces a novel transformer-based model called EVSTr that efficiently processes event camera data by learning robust spatiotemporal�...
Event voxel set transformer for spatiotemporal representation learning on event streams. B Xie, Y Deng, Z Shao, Q Xu, Y Li. IEEE Transactions on Circuits and�...
This framework simultaneously models two common representations: event images and event voxels. By utilizing Transformer and Structured Graph Neural Network (�...
Missing: Spatiotemporal | Show results with:Spatiotemporal
Event Voxel Set Transformer for Spatiotemporal Representation Learning on Event Streams ... A novel attention-aware model named Event Voxel Set Transformer�...
This thesis focuses on developing efficient event-based recognition methods via deep neural networks to learn spatiotemporal representations from event streams.
To fit the sparse nature of events and sufficiently explore the relationship between them, we develop a novel attention-aware model named Event Voxel Set�...