Multihypothesis prediction for compressed sensing and super-resolution of images

– [18] Y. Yang, B. Zhang, J. Han, L. Shao, and C. Chen, “Action Recognition Using 3D Histograms of Texture and A Multi-class Boosting Classifier,” IEEE Transactions on Image Processing, under review. – [17] C. Chen, B. Zhang, Z. Hou, J. Jiang, M. Liu, and Y. Yang, “Action Recognition from Depth Sequences Using Weighted Fusion of 2D and 3D Auto-Correlation of Gradients Features,” Multimedia Tools and Applications, available online, print to appear later. – [16] C. Chen, R. Jafari, and N. Kehtarnavaz, “A Survey of Depth and Inertial Sensor Fusion for Human Action Recognition,” Multimedia Tools and Applications, available online, print to appear later. – [15] C. Chen, R. Jafari, and N. Kehtarnavaz, “A Real-Time Human Action Recognition System Using Depth and Inertial Sensor Fusion,” IEEE Sensors Journal, vol. 16, no. 3, pp. 773-781, February 2016. – [14] C. Chen, R. Jafari, and N. Kehtarnavaz, “Improving Human Action Recognition Using Fusion of Depth Camera and Inertial Sensors,” IEEE Transactions on Human-Machine Systems, vol. 45, no. 1, pp. 51-61, February 2015. – [13] K. Liu, C. Chen, R. Jafari, and N. Kehtarnavaz, “Fusion of Inertial and Depth Sensor Data for Robust Hand Gesture Recognition,” IEEE Sensors Journal, vol. 14, no. 6, pp. 1898-1903, June 2014. – [12] C. Chen, K. Liu, and N. Kehtarnavaz, “Real-Time Human Action Recognition Based on Depth Motion Maps,” Journal of Real-Time Image Processing, August 2013.

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