1,118 Result(s)
within
Computer Science
Image Processing and Computer Vision
**u Tao
Chapter
-
Chapter and Conference Paper
THRCache: DRAM-NVM Multi-level Cache with Thresholded Heterogeneous Random Choices
Caching is essential for accelerating data access, balancing storage cluster load and improving quality of service. However, single-node cache may become a bottleneck as the storage system scales up. Distribut...
-
Chapter and Conference Paper
PE-MED: Prompt Enhancement for Interactive Medical Image Segmentation
Interactive medical image segmentation refers to the accurate segmentation of the target of interest through interaction (e.g., click) between the user and the image. It has been widely studied in recent years...
-
Chapter and Conference Paper
Relaxometry Guided Quantitative Cardiac Magnetic Resonance Image Reconstruction
Deep learning-based methods have achieved prestigious performance for magnetic resonance imaging (MRI) reconstruction, enabling fast imaging for many clinical applications. Previous methods employ convolutiona...
-
Chapter and Conference Paper
PMPI: Patch-Based Multiplane Images for Real-Time Rendering of Neural Radiance Fields
Neural radiance fields (NeRFs) have made it possible to synthesize novel views in a photo-realistic manner. However, real-time view synthesis with superior quality and low consuming remains a challenge due to ...
-
Chapter and Conference Paper
Semi-End-to-End Nested Named Entity Recognition from Speech
There are two approaches for Named Entity Recognition (NER) from speech: two-step pipeline and End-to-End (E2E). In the pipeline approach, cascading errors are inevitable. In the E2E approach, its annotation m...
-
Chapter and Conference Paper
UAV-Assisted Data Collection and Transmission Using Petal Algorithm in Wireless Sensor Networks
With advancements in unmanned aerial vehicle (UAV) technology, the utilization of UAVs for data collection and transmission has become widespread in wireless sensor networks (WSNs). In this paper, the energy c...
-
Chapter and Conference Paper
IvyGPT: InteractiVe Chinese Pathway Language Model in Medical Domain
General large language models (LLMs) such as ChatGPT have shown remarkable success. However, such LLMs have not been widely adopted for medical purposes, due to poor accuracy and inability to provide medical a...
-
Chapter and Conference Paper
Detecting Software Vulnerabilities Based on Hierarchical Graph Attention Network
Detecting software vulnerabilities is a crucial part of software security. At present, the most commonly used methods are to train supervised classification or regression models from the source code to detect ...
-
Chapter and Conference Paper
An Efficient Graph Transformer Network for Video-Based Human Mesh Reconstruction
Although existing image-based methods for 3D human mesh reconstruction have achieved remarkable accuracy, effectively capturing smooth human motion from monocular video remains a significant challenge. Recentl...
-
Chapter and Conference Paper
An Attention Detection System Based on Gaze Estimation Using Self-supervised Learning
With the rapid development of online education around world, it becomes difficult for teachers to evaluate the effect of learning during the online class. To solve this problem, an attention detection system b...
-
Chapter and Conference Paper
Coal Mine Risk Classification Prediction Model Based on BERT
This paper proposes a multi-label classification model to predict various risks that may occur in coal mines. A Lite BERT(ALBERT) is used as the upstream model to extract text features, and TextCNN is used to ...
-
Chapter and Conference Paper
Within- and Between-Class Sample Interpolation Based Supervised Metric Learning for Speaker Verification
Metric learning aims to pull together the samples belonging to the same class and push apart those from different classes in embedding space. Existing methods may suffer from inadequate and low-quality sample ...
-
Chapter and Conference Paper
Application and Analysis of Medical Image Processing Based on Improved CLAHE
Medical image processing is an important branch of medical imaging, which can provide doctors with clearer and more accurate image information for diagnosis and treatment decisions. CLAHE (Contrast Limited Ada...
-
Chapter and Conference Paper
Contrast-Agnostic Groupwise Registration by Robust PCA for Quantitative Cardiac MRI
Quantitative cardiac magnetic resonance imaging (MRI) is an increasingly important diagnostic tool for cardiovascular diseases. Yet, co-registration of all baseline images within the quantitative MRI sequence...
-
Chapter and Conference Paper
CFDM-IME: A Collaborative Fault Diagnosis Method for Intelligent Manufacturing Equipment
The stability of the intelligent manufacturing industry will directly affect the development of the social economy. The privacy of data among different smart factories (SF) leads to a lack of generalization of...
-
Chapter and Conference Paper
A Modified Hopfield Model with Adjustable Activation Function for Buridan’s Assay
Previous findings suggest that the sensory neurons behind thirst and hunger are embedded in circulatory networks that project throughout the brain. The Buridan’s assay tests how a hungry and thirsty animal mak...
-
Chapter and Conference Paper
WBGT Index Forecast Using Time Series Models in Smart Cities
WBGT (Wet Bulb Globe Temperature) was originally championed by the United States military and has been widely implemented in daily training to prevent casualties or injuries among soldiers due to unfavorable h...
-
Chapter and Conference Paper
TST: Time-Sparse Transducer for Automatic Speech Recognition
End-to-end model, especially Recurrent Neural Network Transducer (RNN-T), has achieved great success in speech recognition. However, transducer requires a great memory footprint and computing time when process...
-
Chapter and Conference Paper
YueGraph: A Prototype for Yue Opera Lineage Review Based on Knowledge Graph
Yue opera, as one of the representatives of China’s intangible cultural heritage, embodies a profound regional history and folk art. This paper focuses on utilizing knowledge graphs to promote research and pre...
-
Chapter and Conference Paper
Real-Time Driver Fatigue Detection Method Based on Comprehensive Facial Features
In recent years, there have been frequent cases of vehicle accidents caused by fatigued driving, leading to considerable economic losses and a high number of casualties. Accordingly, it has an important social...
