7 citations · 13 across the 4 of their papers we have counts for
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cs.CV2022★ 3 cited
High-Resolution Swin Transformer for Automatic Medical Image Segmentation
Chen Wei, Shenghan Ren, Kaitai Guo +2
The Resolution of feature maps is critical for medical image segmentation. Most of the existing Transformer-based networks for medical image segmentation are U-Net-like architectur…
cs.CV2019★ 3 cited
AFO-TAD: Anchor-free One-Stage Detector for Temporal Action Detection
Yiping Tang, Chuang Niu, Minghao Dong +2
Temporal action detection is a fundamental yet challenging task in video understanding. Many of the state-of-the-art methods predict the boundaries of action instances based on pre…
cs.CV2018
DASNet: Reducing Pixel-level Annotations for Instance and Semantic Segmentation
Chuang Niu, Shenghan Ren, Jimin Liang
Pixel-level annotation demands expensive human efforts and limits the performance of deep networks that usually benefits from more such training data. In this work we aim to achiev…