Feature selection based on rough sets and particle swarm optimization
- Xiangyang Wang, Jie Yang, Xiao-long Teng, Weijun Xia, Richard Jensen
- Computer SciencePattern Recognition Letters
- 1 March 2007
Patch Alignment for Dimensionality Reduction
- Tianhao Zhang, D. Tao, Xuelong Li, Jie Yang
- Computer ScienceIEEE Transactions on Knowledge and Data…
- 1 September 2009
A new dimensionality reduction algorithm is developed, termed discrim inative locality alignment (DLA), by imposing discriminative information in the part optimization stage, and thorough empirical studies demonstrate the effectiveness of DLA compared with representative dimensionality Reduction algorithms.
From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur
- Dong Gong, Jie Yang, Javen Qinfeng Shi
- Computer ScienceComputer Vision and Pattern Recognition
- 8 December 2016
This work directly estimates the motion flow from the blurred image through a fully-convolutional deep neural network (FCN) and recovers the unblurred image from the estimated motion flow and is the first universal end-to-end mapping from the blur image to the dense motion flow.
Robust Color Guided Depth Map Restoration
- W. Liu, Xiaogang Chen, Jie Yang, Qiang Wu
- Computer ScienceIEEE Transactions on Image Processing
- 2017
This paper shows that using bicubic interpolated depth map can blur depth discontinuities when the upsampling factor is large and the input depth map contains large holes and heavy noise, and proposes a robust optimization framework for color guided depth map restoration that performs well in suppressing texture copy artifacts.
Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal
- Jie Yang, Dong Gong, Lingqiao Liu, Javen Qinfeng Shi
- Computer ScienceEuropean Conference on Computer Vision
- 8 September 2018
This work argues that, to remove reflection truly well, it should estimate the reflection and utilize it to estimate the background image, and proposes a cascade deep neural network, which estimates both the Background image and the reflection.
Linear local tangent space alignment and application to face recognition
- Tianhao Zhang, Jie Yang, Deli Zhao, Xinliang Ge
- Computer ScienceNeurocomputing
- 1 March 2007
Efficient Saliency-Model-Guided Visual Co-Saliency Detection
Experimental results on two benchmark databases demonstrate that the proposed framework outperforms the state-of-the-art models in terms of both accuracy and efficiency.
Discriminative Locality Alignment
- Tianhao Zhang, D. Tao, Jie Yang
- Computer ScienceEuropean Conference on Computer Vision
- 20 October 2008
A new algorithm, termed Discriminative Locality Alignment (DLA), is proposed, which operates in the following three stages: first, in part optimization, discriminative information is imposed over patches, each of which is associated with one sample and its neighbors; then, in sample weighting, each part optimization is weighted by the margin degree, a measure of the importance of a given sample.
Saliency propagation from simple to difficult
A novel propagation algorithm employing the teaching- to-learn and learning-to-teach strategies is proposed to explicitly improve the propagation quality, demonstrating the superiority of the proposed algorithm over twelve representative saliency detectors.
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