97 citations · 285 across the 15 of their papers we have counts for
5 papers · 1 filter
Facial age estimation by deep residual decision making
Shichao Li, Kwang-Ting Cheng
Residual representation learning simplifies the optimization problem of learning complex functions and has been widely used by traditional convolutional neural networks. However, i…
Multi-Frame Content Integration with a Spatio-Temporal Attention Mechanism for Person Video Motion Transfer
Kun Cheng, Hao-Zhi Huang, Chun Yuan +2
Existing person video generation methods either lack the flexibility in controlling both the appearance and motion, or fail to preserve detailed appearance and temporal consistency…
Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization
Koen Helwegen, James Widdicombe, Lukas Geiger +3
Optimization of Binarized Neural Networks (BNNs) currently relies on real-valued latent weights to accumulate small update steps. In this paper, we argue that these latent weights…
Visualizing the decision-making process in deep neural decision forest
Shichao Li, Kwang-Ting Cheng
Deep neural decision forest (NDF) achieved remarkable performance on various vision tasks via combining decision tree and deep representation learning. In this work, we first trace…
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning
Zechun Liu, Haoyuan Mu, Xiangyu Zhang +4
In this paper, we propose a novel meta learning approach for automatic channel pruning of very deep neural networks. We first train a PruningNet, a kind of meta network, which is a…