13 Result(s)
within
English
Computer Science
Image Processing and Computer Vision
Guozhen **ng
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Chapter and Conference Paper
Frame Correlation Knowledge Distillation for Gait Recognition in the Wild
Recently, large deep models have achieved significant progress on gait recognition in the wild. However, such models come with a high cost of runtime and computational resource consumption. In this paper, we i...
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Article
AccNet: occluded scene text enhancing network with accretion blocks
Scene text with occlusions is common in the real world, and occluded text recognition is important for many machine vision applications. However, corresponding techniques are not well explored as public datase...
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Chapter and Conference Paper
Few-Shot Knowledge Graph Entity Ty**
Knowledge graph entity ty**, which is an important way to complete knowledge graphs (KGs), aims at predicting the associating type of certain given entities without any external knowledge. However, previous ...
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Chapter and Conference Paper
IPE Transformer for Depth Completion with Input-Aware Positional Embeddings
In contrast to traditional transformer blocks using a set of pre-defined parameters as positional embeddings, we propose the input-aware positional embedding (IPE) which is dynamically generated according to t...
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Chapter and Conference Paper
Evaluation of Relationship Quality Within Dyads Through the Performance in Dual-Player Cooperative Tasks
Human beings are influenced widely by relationship among individuals. However, there is still a lack of a systematic, objective and direct way to assess the quality of relationships within dyads. The current s...
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Chapter and Conference Paper
An Automated Aggressive Posterior Retinopathy of Prematurity Diagnosis System by Squeeze and Excitation Hierarchical Bilinear Pooling Network
Aggressive Posterior Retinopathy of Prematurity (AP-ROP) is a special type of Retinopathy of Prematurity (ROP), which is one of the most common childhood blindness that occurs in premature infants. AP-ROP is u...
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Chapter and Conference Paper
Aggressive Posterior Retinopathy of Prematurity Automated Diagnosis via a Deep Convolutional Network
Aggressive Posterior Retinopathy of Prematurity (AP-ROP) is a retinal pathology characterized by severe vasodilation and distortion of the posterior pole of the retina. It may lead to blindness if it is not di...
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Chapter and Conference Paper
Automated Stage Analysis of Retinopathy of Prematurity Using Joint Segmentation and Multi-instance Learning
Retinopathy of prematurity (ROP) is the primary cause of childhood blindness. Prior works have demonstrated the remarkable performances of deep learning (DL) in detecting plus disease and classification betwee...
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Chapter and Conference Paper
Retinopathy Diagnosis Using Semi-supervised Multi-channel Generative Adversarial Network
Various kinds of retinopathy are the leading causes of blindness in human being, and with the rapid development of fundus images (FI) analysis in recent years, deep learning has became the focus while using Co...
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Chapter and Conference Paper
A Novel Image Encryption Scheme Based on Hidden Random Disturbance and Feistel RPMPFrHT Network
In this paper, we propose a novel image encryption scheme based on hidden random disturbance and Feistel RPMPFrHT network, which can improve some common defects of the transform-based methods. At first, we hid...
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Chapter and Conference Paper
Critical Value Aware Data Acquisition Strategy in Wireless Sensor Networks
To monitor the physical world, Equi-Frequency Sampling (EFS) methods are widely applied for data acquisition in sensor networks. Due to the noise and inherent uncertainty of the environment, EFS based data acq...
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Chapter and Conference Paper
Registration of Color and OCT Fundus Images Using Low-dimensional Step Pattern Analysis
Existing feature descriptor-based methods on retinal image registration are mainly based on scale-invariant feature transform (SIFT) or partial intensity invariant feature descriptor (PIIFD). While these descr...
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Chapter and Conference Paper
A Robust Outlier Elimination Approach for Multimodal Retina Image Registration
This paper presents a robust outlier elimination approach for multimodal retina image registration application. Our proposed scheme is based on the Scale-Invariant Feature Transform (SIFT) feature extraction a...
