3,172 Result(s)
within
Conference Paper
**hu Li
Artificial Intelligence
Image Processing and Computer Vision
Pattern Recognition
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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
Weakly Supervised Optical Remote Sensing Salient Object Detection Based on Adaptive Discriminative Region Suppression
Salient object detection in optical remote sensing images aims to detect attractive objects from optical remote sensing images, providing important prior information for many remote sensing tasks, which have r...
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Chapter and Conference Paper
An Improved TrICP Point Cloud Registration Method Based on Automatically Trimming Overlap Regions
To address the challenge of determining the parameters of registration algorithms under low point clouds overlap, which hinders automatic and efficient calculations, we introduce an improved variant of the TrI...
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Chapter and Conference Paper
Reinforcement Learning-Based Policy Selection of Multi-sensor Cyber Physical Systems Under DoS Attacks
This paper focuses on the problem of optimal policy selection for sensors and attackers in cyber-physical system (CPS) with multiple sensors under denial-of-service (DoS) attacks. DoS attacks have caused treme...
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Chapter and Conference Paper
Stochastic Resource Allocation with Time Windows
The stochastic resource allocation problem with time windows (SRAPTW) refers to a class of combinatorial optimization problems which are aimed at finding the optimal scheme of assigning resources to given task...
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Chapter and Conference Paper
Sliding Window Detection and Distance-Based Matching for Tracking on Gigapixel Images
Object detection and tracking are representative tasks in the field of computer vision. Existing methods have achieved commendable results on common datasets, yet they struggle to adapt to gigapixel images tha...
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Chapter and Conference Paper
Unsupervised Traditional Chinese Herb Mention Normalization via Robustness-Promotion Oriented Self-supervised Training
Herbal prescriptions are a vital aspect of Traditional Chinese Medicine (TCM) treatment. The textual representations of herbs can vary significantly across various TCM documents and records. To enhance the uti...
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Chapter and Conference Paper
Fast Hierarchical Depth Super-Resolution via Guided Attention
Depth maps captured by mainstream depth sensors are still of low resolution compared with color images. The main difficulties in depth super-resolution lie in the recovery of tiny textures from severely unders...
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Chapter and Conference Paper
3D-B2U: Self-supervised Fluorescent Image Sequences Denoising
Fluorescence imaging can reveal the spatiotemporal dynamics of life activities. However, fluorescence image data suffers from photon shot noise due to a limited photon budget. Therefore, denoising fluorescence...
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Chapter and Conference Paper
A Modified Fuzzy Markov Random Field Incorporating Multiple Features for Liver Tumor Segmentation
Automated segmentation of liver tumors from computerized tomography (CT) images plays a crucial role in computer-aided pathological diagnosis, surgical planning, and postoperative assessment. However, liver tu...
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Chapter and Conference Paper
Robust Self-contact Detection Based on Keypoint Condition and ControlNet-Based Augmentation
Existing self-contact detection methods have difficulty detecting dense per-vertex self-contact. Dataset collection for existing self-contact detection methods is costly and inefficient, as it requires differe...
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Chapter and Conference Paper
LEAD: LiDAR Extender for Autonomous Driving
3D perception using sensors under vehicle industrial standards is the rigid demand in autonomous driving. MEMS LiDAR emerges with irresistible trend due to its lower cost, more robust, and meeting the mass-pro...
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Chapter and Conference Paper
Accelerated Lifetime Experiment of Maximum Current Ratio Based on Charge and Discharge Capacity Confinement
Lithium-ion batteries will undergo continuous aging during the process of charging and discharging. Charging and discharging cycle conditions for lithium-ion batteries are usually an important method to detect...
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Chapter and Conference Paper
STU3: Multi-organ CT Medical Image Segmentation Model Based on Transformer and UNet
With the popularity of artificial intelligence applications in the medical field, U-shaped convolutional neural network (CNN) has garnered significant attention for their efficacy in medical image analysis tas...
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Chapter and Conference Paper
Optimal Information Fusion Descriptor Fractional Order Kalman Filter
The fractional order Kalman filtering theory is an extension and extension of traditional integer order Kalman filters, which can solve the state estimation problem of fractional order systems. At present, the...
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Chapter and Conference Paper
Foreground and Background Separate Adaptive Equilibrium Gradients Loss for Long-Tail Object Detection
The current mainstream object detection methods usually tend to implement on datasets where the categories remain balanced, and have made great progress. However, in the presence of long-tail distribution, the...
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Chapter and Conference Paper
Face Expression Recognition via Product-Cross Dual Attention and Neutral-Aware Anchor Loss
Face expression recognition is an important task whose aim is to classify a face image to a kind of expression such as happy, sad, or surprise, etc. This task is challenging due to the ambiguities in expressio...
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Chapter and Conference Paper
Silhouette-Based 6D Object Pose Estimation
For a long time, deep learning-based 6D object pose estimation networks have lacked the ability to address the problem of pose estimation of the unknown objects beyond the training datasets, due to the closed-...
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Chapter and Conference Paper
Object Category-Based Visual Dialog for Effective Question Generation
GuessWhat?! is a visual dialog dataset that consists of a series of goal-oriented questions and answers between a questioner and an answerer. The purpose of the task is to enable the questioner to identify the...
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Chapter and Conference Paper
An Improved Hypervolume-Based Evolutionary Algorithm for Many-Objective Optimization
The hypervolume indicator is commonly utilized in indicator-based evolutionary algorithms due to its strict adherence to the Pareto domination relationship. However, its high computational complexity in high-d...
