52 citations · 80 across the 3 of their papers we have counts for
6 papers
Normalization Techniques in Training DNNs: Methodology, Analysis and Application
Lei Huang, Jie Qin, Yi Zhou +3
Normalization techniques are essential for accelerating the training and improving the generalization of deep neural networks (DNNs), and have successfully been used in various app…
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images
Deng-Ping Fan, Tao Zhou, Ge-Peng Ji +5
Coronavirus Disease 2019 (COVID-19) spread globally in early 2020, causing the world to face an existential health crisis. Automated detection of lung infections from computed tomo…
An Investigation into the Stochasticity of Batch Whitening
Lei Huang, Lei Zhao, Yi Zhou +3
Batch Normalization (BN) is extensively employed in various network architectures by performing standardization within mini-batches. A full understanding of the process has been a…
Iterative Normalization: Beyond Standardization towards Efficient Whitening
Lei Huang, Yi Zhou, Fan Zhu +2
Batch Normalization (BN) is ubiquitously employed for accelerating neural network training and improving the generalization capability by performing standardization within mini-bat…
Hybrid coarse-fine classification for head pose estimation
Haofan Wang, Zhenghua Chen, Yi Zhou
Head pose estimation, which computes the intrinsic Euler angles (yaw, pitch, roll) from the human, is crucial for gaze estimation, face alignment, and 3D reconstruction. Traditiona…
DAP3D-Net: Where, What and How Actions Occur in Videos?
Li Liu, Yi Zhou, Ling Shao
Action parsing in videos with complex scenes is an interesting but challenging task in computer vision. In this paper, we propose a generic 3D convolutional neural network in a mul…