2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Retain, Blend, and Exchange: A Quality-aware Spatial-Stereo Fusion Approach for Event Stream Recognition
Lan Chen, Dong Li, Xiao Wang +5
Existing event stream-based pattern recognition models usually represent the event stream as the point cloud, voxel, image, etc., and design various deep neural networks to learn t…
cs.CV2023★ 1 cited
VcT: Visual change Transformer for Remote Sensing Image Change Detection
Bo Jiang, Zitian Wang, Xixi Wang +4
Existing visual change detectors usually adopt CNNs or Transformers for feature representation learning and focus on learning effective representation for the changed regions betwe…
cs.CV2023★ 2 cited
Learning Bottleneck Transformer for Event Image-Voxel Feature Fusion based Classification
Chengguo Yuan, Yu Jin, Zongzhen Wu +4
Recognizing target objects using an event-based camera draws more and more attention in recent years. Existing works usually represent the event streams into point-cloud, voxel, im…