Search Results - "Xiaopeng Hong"
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Spatiotemporal Recurrent Convolutional Networks for Recognizing Spontaneous Micro-Expressions
Published in IEEE transactions on multimedia (01-03-2020)“…Recently, the recognition task of spontaneous facial micro-expressions has attracted much attention with its various real-world applications. Plenty of…”
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Selective deep features for micro-expression recognition
Published in 2016 23rd International Conference on Pattern Recognition (ICPR) (01-12-2016)“…Micro-expression recognition is a challenging task in computer vision field due to the repressed facial appearance and short duration. Previous work for…”
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Conference Proceeding -
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Towards Reading Hidden Emotions: A Comparative Study of Spontaneous Micro-Expression Spotting and Recognition Methods
Published in IEEE transactions on affective computing (01-10-2018)“…Micro-expressions (MEs) are rapid, involuntary facial expressions which reveal emotions that people do not intend to show. Studying MEs is valuable as…”
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Combining LBP Difference and Feature Correlation for Texture Description
Published in IEEE transactions on image processing (01-06-2014)“…Effective characterization of texture images requires exploiting multiple visual cues from the image appearance. The local binary pattern (LBP) and its…”
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Dynamic texture and scene classification by transferring deep image features
Published in Neurocomputing (Amsterdam) (01-01-2016)“…Dynamic texture and scene classification are two fundamental problems in understanding natural video content. Extracting robust and effective features is a…”
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Recurrent ConFormer for WiFi activity recognition
Published in IEEE/CAA journal of automatica sinica (01-06-2023)“…Dear Editor, Human activity recognition (HAR) using WiFi signals has been a significant task due to its potential applications in for example, healthcare…”
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Cross-Database Micro-Expression Recognition: A Benchmark
Published in IEEE transactions on knowledge and data engineering (01-02-2022)“…Cross-database micro-expression recognition (CDMER) is one of recently emerging and interesting problem in micro-expression analysis. CDMER is more challenging…”
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A Compact Representation of Visual Speech Data Using Latent Variables
Published in IEEE transactions on pattern analysis and machine intelligence (01-01-2014)“…The problem of visual speech recognition involves the decoding of the video dynamics of a talking mouth in a high-dimensional visual space. In this paper, we…”
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Video Action Recognition Via Neural Architecture Searching
Published in 2019 IEEE International Conference on Image Processing (ICIP) (01-09-2019)“…Deep neural networks have achieved great success for video analysis and understanding. However, designing a high-performance neural architecture requires…”
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Conference Proceeding -
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Hierarchical Contour Closure-Based Holistic Salient Object Detection
Published in IEEE transactions on image processing (01-09-2017)“…Most existing salient object detection methods compute the saliency for pixels, patches, or superpixels by contrast. Such fine-grained contrast-based salient…”
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Knockdown of Urothelial Carcinoma-Associated 1 Suppressed Cell Growth and Migration Through Regulating miR-301a and CXCR4 in Osteosarcoma MHCC97 Cells
Published in Oncology research (27-12-2018)“…Liver cancer is one of the most common malignancies in the world and a leading cause of cancer-related mortality. Accumulating evidence has highlighted the…”
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Capturing correlations of local features for image representation
Published in Neurocomputing (Amsterdam) (05-04-2016)“…Local descriptors are popular ways to characterize the local properties of images in various computer vision based tasks. To form the global descriptors for…”
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Noise-Aware Fully Webly Supervised Object Detection
Published in 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-01-2020)“…We investigate the emerging task of learning object detectors with sole image-level labels on the web without requiring any other supervision like precise…”
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Conference Proceeding -
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Selenite-induced ROS/AMPK/FoxO3a/GABARAPL-1 signaling pathway modulates autophagy that antagonize apoptosis in colorectal cancer cells
Published in Discover. Oncology (24-09-2021)“…Previous studies have shown that selenium possessed chemotherapeutic effect against multiple malignant cancers, inducing diverse stress responses including…”
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Combination of three-dimensional reconstruction technique and blood parameters for the evaluation of tumor burden and prognosis in patients with hepatocellular carcinoma undergoing liver resection
Published in Journal of Society of Surgeons of Nepal (31-12-2020)“…Introduction: Hepatic resection is the mainstay of treatment for Hepatocellular carcinoma (HCC). Three- dimensional technique helps to create an image of the…”
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Color image splicing localization algorithm by quaternion fully convolutional networks and superpixel-enhanced pairwise conditional random field
Published in Mathematical biosciences and engineering : MBE (01-01-2019)“…Recently, fully convolutional network (FCN) has been successfully used to locate spliced regions in synthesized images. However, all the existing FCN-based…”
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Structured partial least squares for simultaneous object tracking and segmentation
Published in Neurocomputing (Amsterdam) (10-06-2014)“…Segmentation-based tracking methods are a class of powerful tracking methods that have been highly successful in alleviating model drift during online-learning…”
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Pose Estimation via Complex-Frequency Domain Analysis of Image Gradient Orientations
Published in 2014 22nd International Conference on Pattern Recognition (01-08-2014)“…Head Pose Estimation (HPE) has recently attracted a lot of interests in various computer vision applications. One challenging problem for accurate HPE is to…”
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Conference Proceeding -
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Recurrent Convolutional Neural Network Regression for Continuous Pain Intensity Estimation in Video
Published in 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (01-06-2016)“…Automatic pain intensity estimation possesses a significant position in healthcare and medical field. Traditional static methods prefer to extract features…”
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Conference Proceeding