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Name: HONGXING YUAN
Type: User
Company: Ningbo University of Technology
Location: Ningbo, Zhejiang Province, China
Name: HONGXING YUAN
Type: User
Company: Ningbo University of Technology
Location: Ningbo, Zhejiang Province, China
Code for the NIPS 2016 paper
Semi-automatic 2D-to-3D conversion using Graph-based method
Here is the code and saliency maps for the paper 'Saliency Pattern Detection by Ranking Structured Trees' in ICCV 2017.
Sparse-to-Dense Depth Reconstruction using L1-L2 M-estimator
Saliency Filters: Contrast Based Filtering for Salient Region Detection
Segmentation-Aware Convolutional Networks Using Local Attention Masks
Demo code of the paper "SegFlow: Joint Learning for Video Object Segmentation and Optical Flow", in ICCV 2017
Matlab codes for shape from shading
Source code for the paper "Depth Super-Resolution Meets Uncalibrated Photometric Stereo"
NTIRE 2017 Super-Resolution Challenge
CMake scripts for painless usage of SuiteSparse+METIS from Visual Studio and the rest of Windows/Linux/OSX IDEs supported by CMake
Code for the ICCV 2017 paper "Surface Normals in the Wild"
This repository contains the code and hyper-parameters for the paper: "Predicting taxi-passenger demand using streaming data, L. Moreira-Matias, J. Gama, M. Ferreira, J. Mendes-Moreira, and L. Damas, IEEE Transactions on Intelligent Transportation Systems 14 (2013), no. 3, 1393–1402” Please cite this paper if you use the code in this repository as part of a published research project.
My implementation from: M. El Gheche, J. F. Aujol, Y. Berthoumieu and C. A. Deledalle, "Texture Reconstruction Guided by a High-Resolution Patch," in IEEE Transactions on Image Processing, vol. 26, no. 2, pp. 549-560, Feb. 2017. doi: 10.1109/TIP.2016.2627812
A list of popular github projects related to deep learning
UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss
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