Xue Mei, Ph.D.

Affiliations: 
2009 Electrical Engineering University of Maryland, College Park, College Park, MD 
Area:
Computer Vision
Google:
"Xue Mei"
Mean distance: 16.68 (cluster 29)
 

Parents

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David William Jacobs grad student 2009 University of Maryland
 (Visual tracking and illumination recovery via sparse representation.)
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Publications

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Yang F, Zhang L, Yu S, et al. (2020) Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection Ieee Transactions On Intelligent Transportation Systems. 21: 1525-1535
Shen J, Zuo X, Yang W, et al. (2019) Differential Features for Pedestrian Detection: A Taylor Series Perspective Ieee Transactions On Intelligent Transportation Systems. 20: 2913-2922
Fan H, Mei X, Prokhorov D, et al. (2018) Multi-Level Contextual RNNs With Attention Model for Scene Labeling Ieee Transactions On Intelligent Transportation Systems. 19: 3475-3485
Di S, Zhang H, Li C, et al. (2018) Cross-Domain Traffic Scene Understanding: A Dense Correspondence-Based Transfer Learning Approach Ieee Transactions On Intelligent Transportation Systems. 19: 745-757
Li J, Mei X, Prokhorov D. (2016) Deep Neural Network for Structural Prediction and Lane Detection in Traffic Scene. Ieee Transactions On Neural Networks and Learning Systems
Liang P, Pang Y, Liao C, et al. (2016) Adaptive Objectness for Object Tracking Ieee Signal Processing Letters. 23: 949-953
Fan H, Mei X, Prokhorov D, et al. (2016) Cross datasets vegetation detection with spatial prior and local context Ieee Intelligent Vehicles Symposium, Proceedings. 2016: 735-740
Mei X, Hong Z, Prokhorov D, et al. (2015) Robust Multitask Multiview Tracking in Videos. Ieee Transactions On Neural Networks and Learning Systems
Di S, Zhang H, Mei X, et al. (2015) Spatial Prior for Nonparametric Road Scene Parsing Ieee Conference On Intelligent Transportation Systems, Proceedings, Itsc. 2015: 1209-1214
Liang P, Wu Y, Mei X, et al. (2015) Blur-Resilient tracking using group sparsity Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9007: 131-145
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