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Human action recognition is an important task in computer vision. Extracting discriminative spatial and temporal features to model the spatial and temporal evolutions of different actions plays a key role in accomplishing this task. In this work, we propose an end-to-end spatial and temporal attention model for human action recognition from skeleton data.(More)
Deep neural networks (DNN) have shown unprecedented success in various computer vision applications such as image classification and object detection. However , it is still a common annoyance during the training phase, that one has to prepare at least thousands of labeled images to fine-tune a network to a specific domain. Recent study (Tommasi et al.,(More)
Image prior models based on sparse and redundant representations are attracting more and more attention in the field of image restoration. The conventional sparsity-based methods enforce sparsity prior on small image patches independently. Unfortunately, these works neglected the contextual information between sparse representations of neighboring image(More)
Summary form only given. Block-based Discrete Cosine Transform (BDCT) has been widely used in image and video compression due to its energy compacting property and relative ease of implementation. However, BDCT has a major drawback, which is usually referred to as blocking artifacts. Blocking artifacts appear as grid noise along the block boundaries because(More)
In this paper, we present a novel method for Super Resolution (SR) reconstruction with rotation invariance and search window relocation. To combine complementary information in observed images to generate a higher resolution image, we first relocate search window to involve potential similar patches and then use rotation invariance similarity measure to(More)
In this paper, we propose a novel postprocessing method to suppress both the flickering and blocking artifacts in block-coded videos. For reducing the flickering effect between adjacent frames, we propose an adaptive multi-scale motion filtering method to maintain the motion coherence of processed video. For blocking artifacts suppression, we adopt a(More)
In this paper, we propose a novel multi-pose face hallucination method based on Neighbor Embedding for Facial Components (NEFC) to magnify face images with various poses and expressions. To represent the structure of a face, a facial component decomposition is employed on each face image. Then, a neighbor embedding reconstruction method with(More)
OBJECTIVE To investigate the safety of electroacupuncture plus oxytocin for uterine contraction of puerperants. METHODS 276 puerperants with difficult labor were randomly divided into a medication group, treated with intravenous dripping of oxytocin, and an acupuncture plus medication group, in the medication group, intravenous dripping of oxytocin was(More)