19 citations · 19 across the 2 of their papers we have counts for
5 papers
Event Stream-based Sign Language Translation: A High-Definition Benchmark Dataset and A Novel Baseline
Shiao Wang, Xiao Wang, Duoqing Yang +5
Sign Language Translation (SLT) is a core task in the field of AI-assisted disability. Traditional SLT methods are typically based on visible light videos, which are easily affecte…
Pre-training on High Definition X-ray Images: An Experimental Study
Xiao Wang, Yuehang Li, Wentao Wu +5
Existing X-ray based pre-trained vision models are usually conducted on a relatively small-scale dataset (less than 500k samples) with limited resolution (e.g., 224 224).…
State Space Model for New-Generation Network Alternative to Transformers: A Survey
Xiao Wang, Shiao Wang, Yuhe Ding +13
In the post-deep learning era, the Transformer architecture has demonstrated its powerful performance across pre-trained big models and various downstream tasks. However, the enorm…
Unleashing the Power of CNN and Transformer for Balanced RGB-Event Video Recognition
Xiao Wang, Yao Rong, Shiao Wang +5
Pattern recognition based on RGB-Event data is a newly arising research topic and previous works usually learn their features using CNN or Transformer. As we know, CNN captures the…
SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition
Xiao Wang, Yao Rong, Zongzhen Wu +4
Event camera-based pattern recognition is a newly arising research topic in recent years. Current researchers usually transform the event streams into images, graphs, or voxels, an…