Search Results - "Ge, Shiming"
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Low-Resolution Face Recognition in the Wild via Selective Knowledge Distillation
Published in IEEE transactions on image processing (01-04-2019)“…Typically, the deployment of face recognition models in the wild needs to identify low-resolution faces with extremely low computational cost. To address this…”
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Detecting Masked Faces in the Wild with LLE-CNNs
Published in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (01-07-2017)“…Detecting faces with occlusions is a challenging task due to two main reasons: 1) the absence of large datasets of masked faces, and 2) the absence of facial…”
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Conference Proceeding -
3
Double-Blinded Finder: a two-side secure children face recognition system
Published in Wireless networks (01-02-2022)“…When taking photos of a suspicious missing child in the street and posting them to the social network is becoming a feasible way to find missing children, the…”
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ILGNet: inception modules with connected local and global features for efficient image aesthetic quality classification using domain adaptation
Published in IET computer vision (01-03-2019)“…In this study, the authors address a challenging problem of aesthetic image classification, which is to label an input image as high‐ or low‐aesthetic quality…”
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5
Structure injected weight normalization for training deep networks
Published in Multimedia systems (01-04-2022)“…Weight normalization (WN) can help to stabilize the distribution of activations over layers, which boost the performance of DNNs in generalization. In this…”
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Adaptive Wavelet Filter With Edge Compensation for Remote Sensing Image Denoising
Published in IEEE access (2019)“…Advanced Geostationary Radiation Imager (AGRI) is one of the main payloads of the second-generation geostationary orbit meteorological satellite, FengYun-4A…”
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3D textured model encryption via 3D Lu chaotic mapping
Published in Science China. Information sciences (01-12-2017)“…In the emerging Virtual/Augmented Reality(VR/AR) era, three dimensional(3 D) content will be popularized just as images and videos today. The security and…”
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Image editing by object-aware optimal boundary searching and mixed-domain composition
Published in Computational visual media (Beijing) (01-03-2018)“…When combining very different images which often contain complex objects and backgrounds, producing consistent compositions is a challenging problem requiring…”
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Discriminative Multiview Nonnegative Matrix Factorization for Classification
Published in IEEE access (2019)“…Multiview nonnegative matrix has shown many promising applications in computer vision and pattern recognition. However, most existing works focus on view…”
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Geometry-Based Global Alignment for GSMS Remote Sensing Images
Published in Remote sensing (Basel, Switzerland) (01-06-2017)“…Alignment of latitude and longitude for all pixels is important for geo-stationary meteorological satellite (GSMS) images. To align landmarks and non-landmarks…”
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Abnormal event detection via adaptive cascade dictionary learning
Published in 2015 IEEE International Conference on Image Processing (ICIP) (01-09-2015)“…Detecting abnormal events plays an essential role in video content analysis and has received increasing attention in surveillance system. One of the major…”
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Conference Proceeding -
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Image Completion Using Global Patch Matching and Optimal Seam Synthesis
Published in 2014 22nd International Conference on Pattern Recognition (01-08-2014)“…This paper presented a global exemplar-based image completion method for filling large missing or damaged regions in an image. Based on three proposed…”
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Conference Proceeding -
13
Occluded Face Recognition in the Wild by Identity-Diversity Inpainting
Published in IEEE transactions on circuits and systems for video technology (01-10-2020)“…Face recognition has achieved advanced development by using convolutional neural network (CNN) based recognizers. Existing recognizers typically demonstrate…”
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Journal Article -
14
Efficient Low-Resolution Face Recognition via Bridge Distillation
Published in IEEE transactions on image processing (2020)“…Face recognition in the wild is now advancing towards light-weight models, fast inference speed and resolution-adapted capability. In this paper, we propose a…”
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15
Student Network Learning via Evolutionary Knowledge Distillation
Published in IEEE transactions on circuits and systems for video technology (01-04-2022)“…Knowledge distillation provides an effective way to transfer knowledge via teacher-student learning, where most existing distillation approaches apply a fixed…”
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16
Selective-Supervised Contrastive Learning with Noisy Labels
Published in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2022)“…Deep networks have strong capacities of embedding data into latent representations and finishing following tasks. However, the capacities largely come from…”
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Conference Proceeding -
17
Efficient Video Grounding With Which-Where Reading Comprehension
Published in IEEE transactions on circuits and systems for video technology (01-10-2022)“…Video grounding aims at localizing the temporal moment related to the given language description, which is very helpful to many cross-modal content…”
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18
Learning Patch-Channel Correspondence for Interpretable Face Forgery Detection
Published in IEEE transactions on image processing (01-01-2023)“…Beyond high accuracy, good interpretability is very critical to deploy a face forgery detection model for visual content analysis. In this paper, we propose…”
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19
Receptive Multi-Granularity Representation for Person Re-Identification
Published in IEEE transactions on image processing (01-01-2020)“…A key for person re-identification is achieving consistent local details for discriminative representation across variable environments. Current stripe-based…”
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Spatiotemporal Knowledge Distillation for Efficient Estimation of Aerial Video Saliency
Published in IEEE transactions on image processing (01-01-2020)“…The performance of video saliency estimation techniques has achieved significant advances along with the rapid development of Convolutional Neural Networks…”
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