Chen Chen
Chen Chen
Assistant Professor, Center for Research in Computer Vision, University of Central Florida
Verified email at - Homepage
Cited by
Cited by
Real-world anomaly detection in surveillance videos
W Sultani, C Chen, M Shah
Proceedings of the IEEE conference on computer vision and pattern …, 2018
Local Binary Patterns and Extreme Learning Machine for Hyperspectral Imagery Classification
W Li, C Chen, H Su, Q Du
IEEE Transactions on Geoscience and Remote Sensing 53 (7), 3681-3693, 2015
UTD-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and a wearable inertial sensor
C Chen, R Jafari, N Kehtarnavaz
2015 IEEE International conference on image processing (ICIP), 168-172, 2015
Enhanced skeleton visualization for view invariant human action recognition
M Liu, H Liu, C Chen
Pattern Recognition 68, 346-362, 2017
Real-time human action recognition based on depth motion maps
C Chen, K Liu, N Kehtarnavaz
Journal of real-time image processing 12 (1), 155-163, 2016
A survey of depth and inertial sensor fusion for human action recognition
C Chen, R Jafari, N Kehtarnavaz
Multimedia Tools and Applications 76 (3), 4405-4425, 2017
Tube convolutional neural network (t-cnn) for action detection in videos
R Hou, C Chen, M Shah
Proceedings of the IEEE international conference on computer vision, 5822-5831, 2017
Compressed-sensing recovery of images and video using multihypothesis predictions
C Chen, EW Tramel, JE Fowler
2011 conference record of the forty fifth asilomar conference on signals …, 2011
Improving Human Action Recognition Using Fusion of Depth Camera and Inertial Sensors
C Chen, R Jafari, N Kehtarnavaz
IEEE Transactions on Human-Machine Systems 45 (1), 51-61, 2015
Gabor convolutional networks
S Luan, C Chen, B Zhang, J Han, J Liu
IEEE Transactions on Image Processing 27 (9), 4357-4366, 2018
Spectral-spatial classification of hyperspectral image based on kernel extreme learning machine
C Chen, W Li, H Su, K Liu
Remote sensing 6 (6), 5795-5814, 2014
Action Recognition from Depth Sequences Using Depth Motion Maps-based Local Binary Patterns
C Chen, R Jafari, N Kehtarnavaz
IEEE Winter Conference on Applications of Computer Vision, 1092-1099, 2015
SuperPCA: A superpixelwise PCA approach for unsupervised feature extraction of hyperspectral imagery
J Jiang, J Ma, C Chen, Z Wang, Z Cai, L Wang
IEEE Transactions on Geoscience and Remote Sensing 56 (8), 4581-4593, 2018
Scene classification using local and global features with collaborative representation fusion
J Zou, W Li, C Chen, Q Du
Information Sciences 348, 209-226, 2016
Fusion of Inertial and Depth Sensor Data for Robust Hand Gesture Recognition
K Liu, C Chen, R Jafari, N Kehtarnavaz
IEEE Sensors Journal 14 (6), 1898-1903, 2014
Single Image Super-Resolution via Locally Regularized Anchored Neighborhood Regression and Nonlocal Means
J Jiang, X Ma, C Chen, T Lu, Z Wang, J Ma
IEEE Transactions on Multimedia 19 (1), 15-26, 2016
A real-time human action recognition system using depth and inertial sensor fusion
C Chen, R Jafari, N Kehtarnavaz
IEEE Sensors Journal 16 (3), 773-781, 2015
Land-use scene classification using multi-scale completed local binary patterns
C Chen, B Zhang, H Su, W Li, L Wang
Signal, image and video processing 10 (4), 745-752, 2016
Fusing local and global features for high-resolution scene classification
X Bian, C Chen, L Tian, Q Du
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017
Action recognition using 3D histograms of texture and a multi-class boosting classifier
B Zhang, Y Yang, C Chen, L Yang, J Han, L Shao
IEEE Transactions on Image processing 26 (10), 4648-4660, 2017
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