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08/25/2023
Fusion of Infrared and Visible Images based on Spatial-Channel Attentional Mechanism
In the study, we present AMFusionNet, an innovative approach to infrared...
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07/30/2023
Uncertainty-Encoded Multi-Modal Fusion for Robust Object Detection in Autonomous Driving
Multi-modal fusion has shown initial promising results for object detect...
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05/05/2023
Neural Architecture Search for Intel Movidius VPU
Hardware-aware Neural Architecture Search (NAS) technologies have been p...
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04/04/2023
A Survey on Vertical Federated Learning: From a Layered Perspective
Vertical federated learning (VFL) is a promising category of federated l...
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02/05/2023
Spatio-Temporal Point Process for Multiple Object Tracking
Multiple Object Tracking (MOT) focuses on modeling the relationship of d...
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06/21/2022
An Efficient Industrial Federated Learning Framework for AIoT: A Face Recognition Application
Recently, the artificial intelligence of things (AIoT) has been gaining ...
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06/21/2022
WrapperFL: A Model Agnostic Plug-in for Industrial Federated Learning
Federated learning, as a privacy-preserving collaborative machine learni...
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05/17/2022
Uncertainty-based Network for Few-shot Image Classification
The transductive inference is an effective technique in the few-shot lea...
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08/25/2021
Learning Class-level Prototypes for Few-shot Learning
Few-shot learning aims to recognize new categories using very few labele...
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06/19/2021
Deep Generative Learning via Schrödinger Bridge
We propose to learn a generative model via entropy interpolation with a ...
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10/19/2020
A Learning-based Discretionary Lane-Change Decision-Making Model with Driving Style Awareness
Discretionary lane change (DLC) is a basic but complex maneuver in drivi...
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05/22/2020
Graph Random Neural Network
Graph neural networks (GNNs) have generalized deep learning methods into...
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04/15/2020
MxPool: Multiplex Pooling for Hierarchical Graph Representation Learning
How to utilize deep learning methods for graph classification tasks has ...
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10/25/2019
L2RS: A Learning-to-Rescore Mechanism for Automatic Speech Recognition
Modern Automatic Speech Recognition (ASR) systems primarily rely on scor...
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08/08/2019
Rethinking Secure Precoding via Interference Exploitation: A Smart Eavesdropper Perspective
Based on the concept of constructive interference (CI), multiuser interf...
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02/26/2019
A Fully-Automatic Framework for Parkinson's Disease Diagnosis by Multi-Modality Images
Background: Parkinson's disease (PD) is a prevalent long-term neurodegen...
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01/24/2019
Federated Reinforcement Learning
In reinforcement learning, building policies of high-quality is challeng...
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11/16/2018
Neural network state estimation for full quantum state tomography
An efficient state estimation model, neural network estimation (NNE), em...
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05/29/2018