December 9, 2017
Comments Off on Learning Iteration-wise Generalized Shrinkage-Thresholding Operators for Blind Deconvolution
Posted in: IEEE 2017, MATLAB
Learning Iteration-wise Generalized Shrinkage-Thresholding Operators for Blind Deconvolution Abstract: Salient edge selection and time-varying regularization are two crucial techniques to guarantee the success of maximum a posteriori (MAP)-based blind deconvolution. However, the existing approaches usually rely on carefully designed regularizers and handcrafted parameter tuning to obtain satisfactory estimation of the blur kernel. Many regularizers exhibit […]
December 9, 2017
Comments Off on A Diffusion and Clustering-based Approach for Finding Coherent Motions and Understanding Crowd Scenes
Posted in: IEEE 2017, MATLAB
Statistical Hypothesis Detector for Abnormal Event Detection in Crowded Abstract Abnormal event detection is now a challenging task, especially for crowded scenes. Many existing methods learn a normal event model in the training phase, and events which cannot be well represented are treated as abnormalities. However, they fail to make use of abnormal event patterns, which are elements to comprise abnormal events. Moreover, normal patterns in testing videos may […]