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Xingming Wu
Researcher at Beihang University
Publications - 117
Citations - 1958
Xingming Wu is an academic researcher from Beihang University. The author has contributed to research in topics: Computer science & Feature extraction. The author has an hindex of 13, co-authored 102 publications receiving 1253 citations.
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LSTM network: a deep learning approach for short-term traffic forecast
TL;DR: A novel traffic forecast model based on long short-term memory (LSTM) network is proposed, which considers temporal-spatial correlation in traffic system via a two-dimensional network which is composed of many memory units.
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Intelligent Detail Enhancement for Exposure Fusion
TL;DR: Experimental results show that the proposed detail enhanced exposure fusion algorithm can preserve details in saturated regions especially the brightest regions better than the state-of-the-art multiscale exposure fusion algorithms.
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Detail-Enhanced Multi-Scale Exposure Fusion in YUV Color Space
TL;DR: A simpler multi-scale exposure fusion algorithm is designed in YUV color space that can preserve details in the brightest and darkest regions of a high dynamic range (HDR) scene and the edge-preserving smoothing-based multi- scale exposure fusion algorithms while avoiding color distortion from appearing in the fused image.
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An improved edge detection algorithm for depth map inpainting
TL;DR: A depth-assisted edge detection algorithm is proposed and improves existing depth map inpainting algorithm using extracted edges and can predict missing depth values successfully and has better performance than existing algorithm around object boundaries.
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Fast 3D modeling in complex environments using a single Kinect sensor
TL;DR: 3D modeling of two scenes of a public garden and traversable areas analysis in these regions further verified the feasibility of the proposed algorithm and demonstrated that the accuracy is the same as KinectFusion but the computing speed is nearly twice of KinectFusions.