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Article
Chinese text recognition enhanced by glyph and character semantic information
Chinese text line recognition technology has been applied in a variety of scenarios. As a kind of ideographic writing, Chinese characters contain plenty of semantic information and basic components. While prev...
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Chapter and Conference Paper
SText-DETR: End-to-End Arbitrary-Shaped Text Detection with Scalable Query in Transformer
Recently, Detection Transformer has become a trendy paradigm in object detection by virtual of eliminating complicated post-processing procedures. Some previous literatures have already explored DETR in scene ...
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Chapter and Conference Paper
A Length-Sensitive Language-Bound Recognition Network for Multilingual Text Recognition
Due to the widespread use of English, considerable attention has been paid to scene text recognition with English as the target language, rather than multilingual scene text recognition. However, it is increas...
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Chapter and Conference Paper
Multi-Branch Network with Ensemble Learning for Text Removal in the Wild
The scene text removal (STR) is a task to substitute text regions with visually realistic backgrounds. Due to the diversity of scene text and the intricacy of background, earlier STR approaches may not success...
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Article
AFA: adversarial frequency alignment for domain generalized lung nodule detection
The different reconstruction parameters of CT imaging lead to domain shifts, which limits the generalization of deep learning models and their applications in computer-aided diagnosis systems. In this paper, w...
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Chapter and Conference Paper
CA-Net: Collaborative Attention Network for Multi-modal Diagnosis of Gliomas
Deep neural network methods have led to impressive breakthroughs in the medical image field. Most of them focus on single-modal data, while diagnoses in clinical practice are usually determined based on multi-...
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Chapter and Conference Paper
Least-Squares Estimation of Keypoint Coordinate for Human Pose Estimation
The research on human pose estimation has recently been promoted to a new high degree. As a result, existing methods that are widely used but flawed in theory must be rethought. Most researchers focus on enhan...
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Chapter and Conference Paper
Brain Tumor Classification Based on MRI Images and Noise Reduced Pathology Images
Gliomas are the most common and severe malignant tumors of the brain. The diagnosis and grading of gliomas are typically based on MRI images and pathology images. To improve the diagnosis accuracy and efficien...
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Chapter and Conference Paper
SimplePose V2: Greedy Offset-Guided Keypoint Grou** for Human Pose Estimation
We propose a simple yet reliable bottom-up approach with a good trade-off between accuracy and efficiency for the problem of multi-person pose estimation. To encode the multi-person pose information in the ima...
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Chapter and Conference Paper
Color Multi-focus Image Fusion Using Quaternion Morphological Gradient and Improved KNN Matting
Most of existing focus measures are calculated by using the luminance information of source images while the chrominance information are ignored. In this paper, we first propose a new focus measure called quat...
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Article
Widening residual refine edge reserved neural network for semantic segmentation
Over the past several years, deep convolutional neural networks have pushed the performance of computer vision systems to soaring heights on semantic segmentation. In this paper, we put forward a novel practic...
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Chapter and Conference Paper
A Novel Multi-focus Image Fusion Based on Lazy Random Walks
Most existing fusion methods usually suffer from blurred edges and introduce artifacts (such as blocking or ringing). To solve these problems, a novel multi-focus image fusion algorithm using lazy random walks...
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Chapter and Conference Paper
Simultaneous Occlusion Handling and Optical Flow Estimation
Occlusion handling and optical flow estimation is a chicken-and-egg problem. In this paper, we propose our method which can handle occlusion and estimate optical flow simultaneously. First of all, we use the b...
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Chapter and Conference Paper
Facial Expression Bilinear Encoding Model
Facial expressions are generated by contractions of facial muscles. The contractions lead to variations in the appearance of facial parts. It has been proved that the features from different facial parts can i...
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Chapter and Conference Paper
Face Alignment Using Local Probabilistic Features
Random forest is an effective tool for locating facial landmarks. In this paper, we propose a novel random forest based face alignment method using local probabilistic features (LPF). Here, the LPF has the pro...
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Chapter and Conference Paper
Dynamic Facial Expression Recognition Based on Trained Convolutional Neural Networks
Recently, dynamic facial expression recognition in videos receives more and more attention. In this paper, we propose a method based on trained convolutional neural networks for dynamic facial expression recog...
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Chapter and Conference Paper
Learning Non-local Representation for Visual Tracking
Discriminative Correlation Filter (DCF) based trackers have tremendously improved the tracking performance. They adopt the first frame of video sequence to initialize the tracker and provide a fast solution du...
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Article
A realistic 3D articulatory animation system for emotional visual pronunciation
This paper proposes a realistic 3D articulatory animation system for emotional visual pronunciation driven by the emotional articulatory movement trajectory. Firstly, the articulatory movements, recorded by El...
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Article
A Video-Based Facial Motion Tracking and Expression Recognition System
We proposed a facial motion tracking and expression recognition system based on video data. By a 3D deformable facial model, the online statistical model (OSM) and cylinder head model (CHM) were combined to tr...
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Article
Creating and simulating a realistic physiological tongue model for speech production
Simulation of the tongue has important applications in biomechanics, medical science, linguistics, and graphics. The accuracy of the geometry, intrinsic structure and dynamic simulation of tongue are crucial f...
