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Flexible Network Binarization with Layer-wise Priority
Lixue Zhuang, Yi Xu, Bingbing Ni +1
How to effectively approximate real-valued parameters with binary codes plays a central role in neural network binarization. In this work, we reveal an important fact that binarizi…
Performance Guaranteed Network Acceleration via High-Order Residual Quantization
Zefan Li, Bingbing Ni, Wenjun Zhang +2
Input binarization has shown to be an effective way for network acceleration. However, previous binarization scheme could be regarded as simple pixel-wise thresholding operations (…
Skeleton-aided Articulated Motion Generation
Yichao Yan, Jingwei Xu, Bingbing Ni +1
This work make the first attempt to generate articulated human motion sequence from a single image. On the one hand, we utilize paired inputs including human skeleton information a…
Image Matching via Loopy RNN
Donghao Luo, Bingbing Ni, Yichao Yan +1
Most existing matching algorithms are one-off algorithms, i.e., they usually measure the distance between the two image feature representation vectors for only one time. In contras…
Depth Structure Preserving Scene Image Generation
Wendong Zhang, Bingbing Ni, Yichao Yan +2
Key to automatically generate natural scene images is to properly arrange among various spatial elements, especially in the depth direction. To this end, we introduce a novel depth…
Predicting Human Interaction via Relative Attention Model
Yichao Yan, Bingbing Ni, Xiaokang Yang
Predicting human interaction is challenging as the on-going activity has to be inferred based on a partially observed video. Essentially, a good algorithm should effectively model…
Person Re-Identification via Recurrent Feature Aggregation
Yichao Yan, Bingbing Ni, Zhichao Song +3
We address the person re-identification problem by effectively exploiting a globally discriminative feature representation from a sequence of tracked human regions/patches. This is…