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09/15/2023
AVM-SLAM: Semantic Visual SLAM with Multi-Sensor Fusion in a Bird's Eye View for Automated Valet Parking
Automated Valet Parking (AVP) requires precise localization in challengi...
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09/09/2023
UnitModule: A Lightweight Joint Image Enhancement Module for Underwater Object Detection
Underwater object detection faces the problem of underwater image degrad...
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06/29/2023
Approximation and Generalization of DeepONets for Learning Operators Arising from a Class of Singularly Perturbed Problems
Singularly perturbed problems present inherent difficulty due to the pre...
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03/14/2023
DAA: A Delta Age AdaIN operation for age estimation via binary code transformer
Naked eye recognition of age is usually based on comparison with the age...
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03/03/2023
Implicit Stochastic Gradient Descent for Training Physics-informed Neural Networks
Physics-informed neural networks (PINNs) have effectively been demonstra...
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01/28/2023
Interactive Log Parsing via Light-weight User Feedbacks
Template mining is one of the foundational tasks to support log analysis...
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01/09/2023
VQNet 2.0: A New Generation Machine Learning Framework that Unifies Classical and Quantum
With the rapid development of classical and quantum machine learning, a ...
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01/04/2023
Motion-based Post-Processing: Using Kalman Filter to Exclude Similar Targets in Underwater Object Tracking
Visual tracker includes network and post-processing. Despite the color d...
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12/29/2022
QPanda: high-performance quantum computing framework for multiple application scenarios
With the birth of Noisy Intermediate Scale Quantum (NISQ) devices and th...
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12/21/2022
Investigation of Network Architecture for Multimodal Head-and-Neck Tumor Segmentation
Inspired by the recent success of Transformers for Natural Language Proc...
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12/13/2022
Generative artificial intelligence-enabled dynamic detection of nicotine-related circuits
The identification of addiction-related circuits is critical for explain...
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12/08/2022
Physics-guided Data Augmentation for Learning the Solution Operator of Linear Differential Equations
Neural networks, especially the recent proposed neural operator models, ...
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12/07/2022
Bi-LSTM Price Prediction based on Attention Mechanism
With the increasing enrichment and development of the financial derivati...
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11/30/2022
VI-PINNs: Variance-involved Physics-informed Neural Networks for Fast and Accurate Prediction of Partial Differential Equations
Although physics-informed neural networks(PINNs) have progressed a lot i...
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09/07/2022
Spach Transformer: Spatial and Channel-wise Transformer Based on Local and Global Self-attentions for PET Image Denoising
Position emission tomography (PET) is widely used in clinics and researc...
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03/15/2022
A Noise-level-aware Framework for PET Image Denoising
In PET, the amount of relative (signal-dependent) noise present in diffe...
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11/19/2021
TransMorph: Transformer for unsupervised medical image registration
In the last decade, convolutional neural networks (ConvNets) have domina...
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09/02/2021
Hankel Determinants of Certain Sequences Of Bernoulli Polynomials: A Direct Proof of an Inverse Matrix Entry from Statistics
We calculate the Hankel determinants of sequences of Bernoulli polynomia...
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04/17/2021
Learning Fuzzy Clustering for SPECT/CT Segmentation via Convolutional Neural Networks
Quantitative bone single-photon emission computed tomography (QBSPECT) h...
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04/13/2021
ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image Registration
In the last decade, convolutional neural networks (ConvNets) have domina...
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12/11/2020
A Multi-task Joint Framework for Real-time Person Search
Person search generally involves three important parts: person detection...
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10/26/2020
Discriminatively Constrained Semi-supervised Multi-view Nonnegative Matrix Factorization with Graph Regularization
In recent years, semi-supervised multi-view nonnegative matrix factoriza...
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09/01/2020
Quality-aware semi-supervised learning for CMR segmentation
One of the challenges in developing deep learning algorithms for medical...
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07/01/2020
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
Conducting text retrieval in a dense learned representation space has ma...
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05/03/2020
Boundary-aware Context Neural Network for Medical Image Segmentation
Medical image segmentation can provide a reliable basis for further clin...
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04/21/2020
Perturb More, Trap More: Understanding Behaviors of Graph Neural Networks
While graph neural networks (GNNs) have shown a great potential in vario...
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04/17/2020
Cascaded Context Enhancement for Automated Skin Lesion Segmentation
Skin lesion segmentation is an important step for automated melanoma dia...
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02/24/2020
Triplet Online Instance Matching Loss for Person Re-identification
Mining the shared features of same identity in different scene, and the ...
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02/14/2020
Acoustic Scene Classification Using Bilinear Pooling on Time-liked and Frequency-liked Convolution Neural Network
The current methodology in tackling Acoustic Scene Classification (ASC) ...
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01/22/2020
Non-Negative Matrix Factorization-Convolutional Neural Network (NMF-CNN) For Sound Event Detection
The main scientific question of this year DCASE challenge, Task 4 - Soun...
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12/06/2019
Generating Patient-like Phantoms Using Fully Unsupervised Deformable Image Registration with Convolutional Neural Networks
The use of Convolutional neural networks (ConvNets) in medical imaging r...
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07/07/2019
FC^2N: Fully Channel-Concatenated Network for Single Image Super-Resolution
Most current image super-resolution (SR) methods based on deep convoluti...
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04/30/2019
Wearable Travel Aid for Environment Perception and Navigation of Visually Impaired People
This paper presents a wearable assistive device with the shape of a pair...
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04/17/2019
Class Specific or Shared? A Hybrid Dictionary Learning Network for Image Classification
Dictionary learning methods can be split into two categories: i) class s...
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10/23/2013
Quest-V: A Virtualized Multikernel for Safety-Critical Real-Time Systems
Modern processors are increasingly featuring multiple cores, as well as ...
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10/23/2013
Predictable Migration and Communication in the Quest-V Multikernel
Quest-V is a system we have been developing from the ground up, with obj...
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10/23/2013
The Quest-V Separation Kernel for Mixed Criticality Systems
Multi- and many-core processors are becoming increasingly popular in emb...
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12/21/2011
