1 code implementation • 12 Sep 2023 • Yuerong Li, Zhengrong Xue, Huazhe Xu
In this paper, we explore the merits of local features by proposing the unsupervised framework of Object-centric Temporal Action Segmentation (OTAS).
no code implementations • 26 Jan 2022 • Mohammadreza Soltani, Suya Wu, Yuerong Li, Jie Ding, Vahid Tarokh
We propose a new structured pruning framework for compressing Deep Neural Networks (DNNs) with skip connections, based on measuring the statistical dependency of hidden layers and predicted outputs.
1 code implementation • 1 Jan 2021 • Mohammadreza Soltani, Suya Wu, Yuerong Li, Jie Ding, Vahid Tarokh
We measure a new model-free information between the feature maps and the output of the network.