Xiaolin Wu

Deep Multi-modality Soft-decoding of Very Low Bit-rate Face Videos

Aug 02, 2020
Yanhui Guo, Xi Zhang, Xiaolin Wu

Figure 2 for Deep Multi-modality Soft-decoding of Very Low Bit-rate Face Videos

Figure 3 for Deep Multi-modality Soft-decoding of Very Low Bit-rate Face Videos

Figure 4 for Deep Multi-modality Soft-decoding of Very Low Bit-rate Face Videos

* Proceedings of the 28th ACM International Conference on Multimedia,2020
* Accepted by Proceedings of the 28th ACM International Conference on Multimedia(ACM MM),2020

Access Paper or Ask Questions

Rapid Whole Slide Imaging via Learning-based Two-shot Virtual Autofocusing

Mar 14, 2020
Qiang Li, Xianming Liu, Kaige Han, Cheng Guo, Xiangyang Ji, Xiaolin Wu

Figure 2 for Rapid Whole Slide Imaging via Learning-based Two-shot Virtual Autofocusing

Figure 3 for Rapid Whole Slide Imaging via Learning-based Two-shot Virtual Autofocusing

Figure 4 for Rapid Whole Slide Imaging via Learning-based Two-shot Virtual Autofocusing

Access Paper or Ask Questions

Ultra High Fidelity Image Compression with $\ell_\infty$-constrained Encoding and Deep Decoding

Feb 10, 2020
Xi Zhang, Xiaolin Wu

$Figure 1 for Ultra High Fidelity Image Compression with $\ell_\infty$-constrained Encoding and Deep Decoding$

$Figure 2 for Ultra High Fidelity Image Compression with $\ell_\infty$-constrained Encoding and Deep Decoding$

$Figure 3 for Ultra High Fidelity Image Compression with $\ell_\infty$-constrained Encoding and Deep Decoding$

$Figure 4 for Ultra High Fidelity Image Compression with $\ell_\infty$-constrained Encoding and Deep Decoding$

Access Paper or Ask Questions

Lossless Compression of Mosaic Images with Convolutional Neural Network Prediction

Jan 28, 2020
Seyed Mehdi Ayyoubzadeh, Xiaolin Wu

Figure 2 for Lossless Compression of Mosaic Images with Convolutional Neural Network Prediction

Figure 3 for Lossless Compression of Mosaic Images with Convolutional Neural Network Prediction

Figure 4 for Lossless Compression of Mosaic Images with Convolutional Neural Network Prediction

Access Paper or Ask Questions

Adaptive Loss Function for Super Resolution Neural Networks Using Convex Optimization Techniques

Jan 21, 2020
Seyed Mehdi Ayyoubzadeh, Xiaolin Wu

Figure 2 for Adaptive Loss Function for Super Resolution Neural Networks Using Convex Optimization Techniques

Figure 3 for Adaptive Loss Function for Super Resolution Neural Networks Using Convex Optimization Techniques

Figure 4 for Adaptive Loss Function for Super Resolution Neural Networks Using Convex Optimization Techniques

Access Paper or Ask Questions

Challenge of Spatial Cognition for Deep Learning

Jul 30, 2019
Xiaolin Wu, Xi Zhang, Jun Du

Figure 2 for Challenge of Spatial Cognition for Deep Learning

Figure 3 for Challenge of Spatial Cognition for Deep Learning

Figure 4 for Challenge of Spatial Cognition for Deep Learning

Access Paper or Ask Questions

Filter Bank Regularization of Convolutional Neural Networks

Jul 25, 2019
Seyed Mehdi Ayyoubzadeh, Xiaolin Wu

Figure 2 for Filter Bank Regularization of Convolutional Neural Networks

Figure 3 for Filter Bank Regularization of Convolutional Neural Networks

Figure 4 for Filter Bank Regularization of Convolutional Neural Networks

* 11 pages, 17 figures

Access Paper or Ask Questions

Deep Learning with Inaccurate Training Data for Image Restoration

Nov 18, 2018
Bolin Liu, Xiao Shu, Xiaolin Wu

Figure 2 for Deep Learning with Inaccurate Training Data for Image Restoration

Figure 3 for Deep Learning with Inaccurate Training Data for Image Restoration

Figure 4 for Deep Learning with Inaccurate Training Data for Image Restoration

Access Paper or Ask Questions

Nonlinear Prediction of Multidimensional Signals via Deep Regression with Applications to Image Coding

Oct 30, 2018
Xi Zhang, Xiaolin Wu

Figure 2 for Nonlinear Prediction of Multidimensional Signals via Deep Regression with Applications to Image Coding

Figure 3 for Nonlinear Prediction of Multidimensional Signals via Deep Regression with Applications to Image Coding

Figure 4 for Nonlinear Prediction of Multidimensional Signals via Deep Regression with Applications to Image Coding

Access Paper or Ask Questions

Near-lossless L-infinity constrained Multi-rate Image Decompression via Deep Neural Network

Oct 10, 2018
Xi Zhang, Xiaolin Wu

Figure 2 for Near-lossless L-infinity constrained Multi-rate Image Decompression via Deep Neural Network

Figure 3 for Near-lossless L-infinity constrained Multi-rate Image Decompression via Deep Neural Network

Figure 4 for Near-lossless L-infinity constrained Multi-rate Image Decompression via Deep Neural Network

Access Paper or Ask Questions