6,487 Result(s)
within
Chapter
**hu Li
Artificial Intelligence
Image Processing and Computer Vision
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Chapter and Conference Paper
M \(^2\) Sim: A Long-Term Interactive Driving Simulator
Simulation now plays an important role in the development of autonomous driving algorithms as it can significantly reduce the economical cost and ethical risk of real-world testing. However, building a high-qu...
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Chapter and Conference Paper
Feature Selection for Malapposition Detection in Intravascular Ultrasound - A Comparative Study
Coronary atherosclerosis is a leading cause of morbidity and mortality worldwide. It is often treated by placing stents in the coronary arteries. Inappropriately placed stents or malappositions can result in p...
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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...
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Chapter and Conference Paper
RAGT: Learning Robust Features for Occluded Human Pose and Shape Estimation with Attention-Guided Transformer
3D human pose and shape estimation from monocular images is a fundamental task in computer vision, but it is highly ill-posed and challenging due to occlusion. Occlusion can be caused by other objects that blo...
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Chapter and Conference Paper
CAM-GUI: A Conversational Assistant on Mobile GUI
Smartphone assistants are becoming more and more popular in our daily lives. These assistants mostly rely on the API-based Task-Oreiented Dialogue (TOD) systems, which limits the generality of these assistants...
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Chapter and Conference Paper
Single-Cell Spatial Analysis of Histopathology Images for Survival Prediction via Graph Attention Network
The tumor microenvironment is a complex ecosystem consisting of various immune and stromal cells in addition to neoplastic cells. The spatial interaction and organization of these cells play a critical role in...
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Chapter and Conference Paper
Long-Term Interactive Driving Simulation: MPC to the Rescue
Simulation now plays an important role in the development of autonomous driving algorithms as it can significantly reduce the economical cost and ethical risk of real-world testing. However, building a high-qu...
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Chapter and Conference Paper
Fine-Grained Sentiment Analysis Tasks Guided by Domain Knowledge
Aspect-Based Sentiment Analysis (ABSA) analyzes the emotion distribution of text from aspect feature granularity. In the previous ABSA task, only the emotion polarity corresponding to the aspect term was judge...
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Chapter and Conference Paper
Visible and NIR Image Fusion Algorithm Based on Information Complementarity
Visible and near-infrared (NIR) band sensors provide images that capture complementary spectral radiations from a scene. And the fusion of the visible and NIR image aims at utilizing their spectrum properties ...
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Chapter and Conference Paper
Real-Time Automotive Engine Sound Simulation with Deep Neural Network
This paper introduces a real-time technique for simulating automotive engine sounds based on revolutions per minute (RPM) and pedal pressure data. We present a hybrid approach combining both sample-based and p...
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Chapter and Conference Paper
Joint Training or Not: An Exploration of Pre-trained Speech Models in Audio-Visual Speaker Diarization
The scarcity of labeled audio-visual datasets is a constraint for training superior audio-visual speaker diarization systems. To improve the performance of audio-visual speaker diarization, we leverage pre-tra...
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Chapter and Conference Paper
Beyond Universal Transformer: Block Reusing with Adaptor in Transformer for Automatic Speech Recognition
Recently, Transformer-based models have excelled in end-to-end (E2E) automatic speech recognition (ASR), enabling deployment on smart devices. However, their large parameter requirements pose challenges for AS...
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Chapter and Conference Paper
Swin-MMC: Swin-Based Model for Myopic Maculopathy Classification in Fundus Images
Myopic maculopathy is a highly myopic retinal disorder that often occurs in highly myopic patients, serving as a major cause of visual impairment and blindness in numerous countries. Currently, fundus images s...
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Chapter and Conference Paper
Ultrafast Labeling for Multiplexed Immunobiomarkers from Label-free Fluorescent Images
Labeling pathological images based on different immunobiomarker holds immense clinical significance, serving as an instrumental tool in various fields such as disease diagnostics and biomedical research. Howev...
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Chapter and Conference Paper
Efficient 3D View Synthesis from Single-Image Utilizing Diffusion Priors
In this paper, we introduce a novel framework for synthesizing novel views of objects from a single image. Leveraging the capabilities of fine-tuned diffusion models, our method combines latent 3D knowledge as...
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Chapter and Conference Paper
Domain Specific Pre-training Methods for Traditional Chinese Medicine Prescription Recommendation
Traditional Chinese Medicine (TCM) is an important constituent of medical treatment. During the development history of TCM, there have been a large number of medical records accumulated, which embody the exper...
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Chapter and Conference Paper
A Temporal Consistency Learning Framework for Face Forgery Detection
The proliferation of face forgery techniques, particularly through deepfake videos, poses significant challenges in terms of deceiving and manipulating viewers. To address this concern, we propose a novel fram...
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Chapter and Conference Paper
Prediction of Spherical Equivalent with Vanilla ResNet
Recently, an increasing of deep learning models has been introduced to address various fundus image tasks, e.g. segmentation, classification, and enhancement. Concurrently, this emergence has been accompanied ...
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Chapter and Conference Paper
LTUNet: A Lightweight Transformer-Based UNet with Multi-scale Mechanism for Skin Lesion Segmentation
Medical image segmentation separates target structures or tissues within medical images to promote precise diagnoses. Automated image segmentation algorithms can help dermatologists to diagnose skin cancer by ...
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Chapter and Conference Paper
CardiacRT-NN: Real-Time Detection of Cardiovascular Disease Using Self-attention CNN-LSTM for Embedded Systems
Deep learning (DL) has emerged as a critical technology in the advancement of non-invasive cardiac monitoring by analyzing electrocardiogram (ECG) data. Although traditional approaches utilizing up to 12-lead ...
