244 Result(s)
within
Computer Science
Image Processing and Computer Vision
Information Systems Applications (incl. Internet)
**u Tao
Chapter
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Chapter and Conference Paper
Spatial Resolution of Mesoscopic Shapes Presented by Airborne Ultrasound
This study determined the spatial resolution of the virtual surface profile created by ultrasound haptic stimulation. We assumed the case where a finger moves along the surface of a virtual object. This object...
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Chapter and Conference Paper
Sound Pressure Field Reconstruction for Ultrasound Phased Array by Linear Synthesis Scheme Optimization
Ultrasound phased array is a device that is usually used to provide mid air tactile sensations like three-dimensional shape haptics images by generating various specific sound fields. Forming foci for the ultr...
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Chapter and Conference Paper
A GNN-Enhanced Game Bot Detection Model for MMORPGs
Game bots are automated programs that assist cheating players in obtaining huge superiority in Massively Multiplayer Online Role-Playing Games (MMORPGs), which has led to an imbalance in the gaming ecosystem a...
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Chapter and Conference Paper
Online Continual Learning with Contrastive Vision Transformer
Online continual learning (online CL) studies the problem of learning sequential tasks from an online data stream without task boundaries, aiming to adapt to new data while alleviating catastrophic forgetting ...
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Chapter and Conference Paper
ColorFormer: Image Colorization via Color Memory Assisted Hybrid-Attention Transformer
Automatic image colorization is a challenging task that attracts a lot of research interest. Previous methods employing deep neural networks have produced impressive results. However, these colorization images...
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Chapter and Conference Paper
Geometry-Aware Single-Image Full-Body Human Relighting
Single-image human relighting aims to relight a target human under new lighting conditions by decomposing the input image into albedo, shape and lighting. Although plausible relighting results can be achieved,...
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Chapter and Conference Paper
Kernel Relative-prototype Spectral Filtering for Few-Shot Learning
Few-shot learning performs classification tasks and regression tasks on scarce samples. As one of the most representative few-shot learning models, Prototypical Network represents each class as sample average,...
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Chapter and Conference Paper
Motion and Appearance Adaptation for Cross-domain Motion Transfer
Motion transfer aims to transfer the motion of a driving video to a source image. When there are considerable differences between object in the driving video and that in the source image, traditional single do...
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Chapter and Conference Paper
On Mitigating Hard Clusters for Face Clustering
Face clustering is a promising way to scale up face recognition systems using large-scale unlabeled face images. It remains challenging to identify small or sparse face image clusters that we call hard cluster...
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Chapter and Conference Paper
Motion Transformer for Unsupervised Image Animation
Image animation aims to animate a source image by using motion learned from a driving video. Current state-of-the-art methods typically use convolutional neural networks (CNNs) to predict motion information, s...
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Chapter and Conference Paper
The \(2^\mathrm{nd}\) 106-Point Lightweight Facial Landmark Localization Grand Challenge
Facial landmark localization has been applied to numerous face related applications, such as face recognition and face image synthesis. It is a very crucial step for achieving high performance in these applica...
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Chapter and Conference Paper
A Dialogue Contextual Flow Model for Utterance Intent Recognition in Multi-turn Online Conversation
There are many intents of dialogues that cannot be recognized due to the contextual features of conversation, resulting in service failure for online chatting robots. Current methods leverage memory networks ...
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Chapter and Conference Paper
A Benefit-Cost Perspective on Consumers’ Purchase of Online Content
In recent years, Chinese netizens have to pay predetermined fees before consuming various online content (e.g., videos and music), implying that the “free content” mode has been gradually replaced by the subsc...
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Chapter and Conference Paper
The Novel Efficient Transformer for NLP
Reducing the numerical precision of weights and activations of deep neural networks have proven to be a stunningly efficient way of deploying deep networks on edge devices with limited resources. With the adve...
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Chapter and Conference Paper
A Transformer Model-Based Approach to Bearing Fault Diagnosis
Bearings are an important component in rotating machinery and their failure can lead to serious injuries and economic losses, therefore the diagnosis of bearing faults and the guarantee of their smooth operati...
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Chapter and Conference Paper
ALGNN: Auto-Designed Lightweight Graph Neural Network
Graph neural networks (GNNs) are widely used on graph-structured data, and its research has made substantial progress in recent years. However, given the various number of choices and combinations of component...
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Chapter and Conference Paper
Improved Non-negative Matrix Factorization Algorithm for Sparse Graph Regularization
Aiming at the low recognition accuracy of non-negative matrix factorization (NMF) in practical application, an improved spare graph NMF (New-SGNMF) is proposed in this paper. New-SGNMF makes full use of the in...
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Chapter and Conference Paper
CC-LSTM: Cross and Conditional Long-Short Time Memory for Video Captioning
Automatically generating natural language descriptions for in-the-wild videos is a challenging task. Most recent progress in this field has been made through the combination of Convolutional Neural Networks (C...
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Chapter and Conference Paper
Patient-Provider Communication Training Models for Interactive Speech Devices
Patient-provider communication plays a major role in healthcare with its main goal being to improve the patient’s health and build a trustworthy relationship between the patient and the doctor. Provider’s effi...
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Chapter and Conference Paper
Experimenting with a Prototype Interactive Narrative Game to Improve Knowledge and Beliefs for the HPV Vaccine
Narratives can have a powerful impact on our health-related beliefs, attitudes, and behaviors. The human papillomavirus (HPV) vaccine can protect against human papillomavirus that leads to different types of c...
