Pixel-Level Hand Detection with Shape-Aware Structured Forests

By Xiaolong Zhu, Xuhui Jia, Kwan-Yee Kenneth Wong. 2014

27 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Human-Computer Interaction

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Feng Lu
2. Minjie Cai
3. Yoichi Sato
4. Kristen Grauman
5. Tony R. Martinez
6. Fanqing Lin

In Human-Computer Interaction

1. Feng Lu
2. Minjie Cai
3. Yoichi Sato
4. Tony R. Martinez
5. Fanqing Lin

Citations in the corpus

• Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applications (2022, neutral): “[84] proposed a novel approach by estimating a probability shape mask for a pixel using shape-aware structured forests.”
• Generalizing Hand Segmentation in Egocentric Videos With Uncertainty-Guided Model Adaptation (2020, background): “Detecting or segmenting hands in egocentric videos with changing illumination and backgrounds is challenging for traditional color statistics-based methods such as [26], and many attempts have been made in recent year to overcome the challenge [39, 16, 30, 31, 47, 2, 4, 43, 32].”