15 citations · 34 across the 6 of their papers we have counts for
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cs.CV2023★ 14 cited
ZS-SRT: An Efficient Zero-Shot Super-Resolution Training Method for Neural Radiance Fields
Xiang Feng, Yongbo He, Yubo Wang +6
Neural Radiance Fields (NeRF) have achieved great success in the task of synthesizing novel views that preserve the same resolution as the training views. However, it is challengin…
cs.CV2023★ 1 cited
FDNet: Feature Decoupled Segmentation Network for Tooth CBCT Image
Xiang Feng, Chengkai Wang, Chengyu Wu +4
Precise Tooth Cone Beam Computed Tomography (CBCT) image segmentation is crucial for orthodontic treatment planning. In this paper, we propose FDNet, a Feature Decoupled Segmentati…
cs.CV2023★ 15 cited
nnSAM: Plug-and-play Segment Anything Model Improves nnUNet Performance
Yunxiang Li, Bowen Jing, Zihan Li +2
Automatic segmentation of medical images is crucial in modern clinical workflows. The Segment Anything Model (SAM) has emerged as a versatile tool for image segmentation without sp…