145 citations · 153 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 145 cited
HRTransNet: HRFormer-Driven Two-Modality Salient Object Detection
Bin Tang, Zhengyi Liu, Yacheng Tan +1
The High-Resolution Transformer (HRFormer) can maintain high-resolution representation and share global receptive fields. It is friendly towards salient object detection (SOD) in w…
cs.CV2023★ 8 cited
RGB-T Multi-Modal Crowd Counting Based on Transformer
Zhengyi Liu, Wei Wu, Yacheng Tan +1
Crowd counting aims to estimate the number of persons in a scene. Most state-of-the-art crowd counting methods based on color images can't work well in poor illumination conditions…