SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy

1 code implementation • CVPR 2023 • Jiafeng Li, Ying Wen, Lianghua He

The proposed SCConv consists of two units: spatial reconstruction unit (SRU) and channel reconstruction unit (CRU).

Using machine learning on new feature sets extracted from 3D models of broken animal bones to classify fragments according to break agent

1 code implementation • 20 May 2022 • Katrina Yezzi-Woodley, Alexander Terwilliger, Jiafeng Li, Eric Chen, Martha Tappen, Jeff Calder, Peter J. Olver

Distinguishing agents of bone modification at paleoanthropological sites is at the root of much of the research directed at understanding early hominin exploitation of large animal resources and the effects those subsistence behaviors had on early hominin evolution.

Blur-Attention: A boosting mechanism for non-uniform blurred image restoration

no code implementations • 19 Aug 2020 • Xiaoguang Li, Feifan Yang, Kin Man Lam, Li Zhuo, Jiafeng Li

Our method can adaptively select the weights of the extracted features according to the spatially varying blur features, and dynamically restore the images.

Deblurring Image Restoration +1