48 Result(s)
within
Computer Science
Artificial Intelligence
Pattern Recognition
Qing-**ang Wang
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Article
Spatially-Varying Illumination-Aware Indoor Harmonization
In this paper, we address the problem of spatially-varying illumination-aware indoor harmonization. Existing image harmonization works either focus on extracting no more than 2D information (e.g., low-level st...
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Article
ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object Detection
With the rapid development of depth sensor, more and more RGB-D videos could be obtained. Identifying the foreground in RGB-D videos is a fundamental and important task. However, the existing salient object de...
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Article
Towards High-Resolution Specular Highlight Detection
Specular highlight detection is an essential task with various applications in computer vision. This paper aims to detect specular highlights in single high-resolution images using deep learning while avoiding...
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Chapter and Conference Paper
Style Recognition of Calligraphic Chinese Characters Based on Morphological Convolutional Neural Network
As an indispensable part of the excellent traditional Chinese culture, calligraphic Chinese characters have gradually evolved into different style types in the development process, which has raised the thresho...
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Chapter and Conference Paper
CrowdFusion: Refined Cross-Modal Fusion Network for RGB-T Crowd Counting
Crowd counting is a crucial task in computer vision, offering numerous applications in smart security, remote sensing, agriculture and forestry. While pure image-based models have made significant advancements...
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Article
Countering Malicious DeepFakes: Survey, Battleground, and Horizon
The creation or manipulation of facial appearance through deep generative approaches, known as DeepFake, have achieved significant progress and promoted a wide range of benign and malicious applications, e.g., vi...
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Chapter and Conference Paper
An Adaptive Weight Joint Loss Optimization for Dog Face Recognition
In recent years, the field of human face recognition has developed rapidly, and a large number of deep learning methods have proven their efficiency in human face recognition. However, these methods do not wor...
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Chapter and Conference Paper
Lightweight Image Compression Based on Deep Learning
Deep learning based image compression (DLIC) algorithms have achieved higher compression gain than conventional algorithms. However, the large parameters and float-point operations (FLOPs) of DLIC severely lim...
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Article
3D Scene Reconstruction with an Un-calibrated Light Field Camera
This paper is concerned with the problem of multi-view 3D reconstruction with an un-calibrated micro-lens array based light field camera. To acquire 3D Euclidean reconstruction, existing approaches commonly ap...
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Article
Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition Under Occlusion
Computer vision systems in real-world applications need to be robust to partial occlusion while also being explainable. In this work, we show that black-box deep convolutional neural networks (DCNNs) have only...
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Chapter and Conference Paper
A Deep Reinforced Tree-Traversal Agent for Coronary Artery Centerline Extraction
Vessel centerline extraction is fundamental for plentiful medical applications. Majority of current methods require pre-segmentations, distance maps or similar sorts of scanning whole volume action and followe...
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Chapter and Conference Paper
Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning
Despite convolutional network-based methods have boosted the performance of single image super-resolution (SISR), the huge computation costs restrict their practical applicability. In this paper, we develop a ...
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Chapter and Conference Paper
Segmentation to Label: Automatic Coronary Artery Labeling from Mask Parcellation
Automatic and accurate coronary artery labeling technique from CCTA can greatly reduce clinician’s manual efforts and benefit large-scale data analysis. Current line of research falls into two general categori...
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Chapter and Conference Paper
Collaborative-Representation-Based Nearest Neighbor Classifier for Hyperspectral Image Classification Combined with Superpixel and Loopy Belief Propagation
The k nearest neighbor (KNN) is one of the most popular classifiers for hyperspectral images (HSI). However, in hyperspectral imagery classification, since the pixel spectral signatures are usually mixed due t...
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Chapter and Conference Paper
Emotion Recognition Using Eye Gaze Based on Shallow CNN with Identity Map**
Machine recognition of human emotions has attracted more and more attention for its wide application in recent years. As a spontaneous signal of human behavior, eye gaze is utilized for emotion recognition. Co...
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Chapter and Conference Paper
EEG-Based Emotion Estimate Using Shallow Fully Convolutional Neural Network with Boost Training Strategy
Emotion recognition using Electroencephalogram (EEG) has drawn the attention of many scholars. However, there are few studies looking into regressive approach. Actually, human affective states are continuous r...
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Chapter and Conference Paper
The Sixth Visual Object Tracking VOT2018 Challenge Results
The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty trackers are presented; many are state-of-the-art trackers...
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Chapter and Conference Paper
BERT Based Hierarchical Sequence Classification for Context-Aware Microblog Sentiment Analysis
In microblog sentiment analysis task, most of the existing algorithms treat each microblog isolatedly. However, in many cases, the sentiments of microblogs can be ambiguous and context-dependent, such as micro...
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Chapter and Conference Paper
Predicting Multisite Protein Sub-cellular Locations Based on Correlation Coefficient
With the development of proteomics and cell biology, protein sub-cellular location has become a hot topic in bioinformatics. As the time goes on, more and more researchers make great efforts on studying protei...
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Chapter and Conference Paper
Determination of Focal Length for Targets Positioning with Binocular Stereo Vision
Targets positioning with binocular stereo vision has the potential of usage for surveillance on airdrome surface. This paper analyses the impact of focal length of a camera on the accuracy of positioning targe...
