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08/23/2023
SPPNet: A Single-Point Prompt Network for Nuclei Image Segmentation
Image segmentation plays an essential role in nuclei image analysis. Rec...
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07/07/2023
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data
For many real-world time series tasks, the computational complexity of p...
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06/23/2023
DualAttNet: Synergistic Fusion of Image-level and Fine-Grained Disease Attention for Multi-Label Lesion Detection in Chest X-rays
Chest radiographs are the most commonly performed radiological examinati...
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06/01/2023
Sea Ice Extraction via Remote Sensed Imagery: Algorithms, Datasets, Applications and Challenges
The deep learning, which is a dominating technique in artificial intelli...
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04/28/2023
Semi-supervised Road Updating Network (SRUNet): A Deep Learning Method for Road Updating from Remote Sensing Imagery and Historical Vector Maps
A road is the skeleton of a city and is a fundamental and important geog...
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03/21/2023
VAD: Vectorized Scene Representation for Efficient Autonomous Driving
Autonomous driving requires a comprehensive understanding of the surroun...
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12/05/2022
Mixed Cloud Control Testbed: Validating Vehicle-Road-Cloud Integration via Mixed Digital Twin
Reliable and efficient validation technologies are critical for the rece...
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02/02/2022
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation
Image segmentation is a key step for medical image analysis. Approaches ...
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07/15/2021
Conflict-free Cooperation Method for Connected and Automated Vehicles at Unsignalized Intersections: Graph-based Modeling and Optimality Analysis
Connected and automated vehicles have shown great potential in improving...
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06/18/2021
Formation Control with Lane Preference for Connected and Automated Vehicles in Multi-lane Scenarios
Multi-lane roads are typical scenarios in the real-world traffic system....
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02/03/2021
Disease Prediction with a Maximum Entropy Method
In this paper, we propose a maximum entropy method for predicting diseas...
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10/27/2020
Nonlinear Monte Carlo Method for Imbalanced Data Learning
For basic machine learning problems, expected error is used to evaluate ...
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05/12/2020
ReadNet:Towards Accurate ReID with Limited and Noisy Samples
Person re-identification (ReID) is an essential cross-camera retrieval t...
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11/23/2018
