321 citations · 1.8k across the 66 of their papers we have counts for
8 papers · 2 filters
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 (…
Robust Visual Tracking via Hierarchical Convolutional Features
Chao Ma, Jia-Bin Huang, Xiaokang Yang +1
In this paper, we propose to exploit the rich hierarchical features of deep convolutional neural networks to improve the accuracy and robustness of visual tracking. Deep neural net…
Terahertz Security Image Quality Assessment by No-reference Model Observers
Menghan Hu, Xiongkuo Min, Guangtao Zhai +5
To provide the possibility of developing objective image quality assessment (IQA) algorithms for THz security images, we constructed the THz security image database (THSID) includi…
Adaptive Correlation Filters with Long-Term and Short-Term Memory for Object Tracking
Chao Ma, Jia-Bin Huang, Xiaokang Yang +1
Object tracking is challenging as target objects often undergo drastic appearance changes over time. Recently, adaptive correlation filters have been successfully applied to object…
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…
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…