Xiaoheng Jiang

Orcid: 0000-0002-5770-0417

According to our database1, Xiaoheng Jiang authored at least 50 papers between 2015 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
NN2ViT: Neural Networks and Vision Transformers based approach for Visual Anomaly Detection in Industrial Images.
Neurocomputing, 2025

2024
Hierarchical symmetric cross entropy for distant supervised relation extraction.
Appl. Intell., November, 2024

Context-Aware Adaptive Weighted Attention Network for Real-Time Surface Defect Segmentation.
IEEE Trans. Instrum. Meas., 2024

TAANet: A Task-Aware Attention Network for Weak Surface Defect Detection.
IEEE Trans. Instrum. Meas., 2024

Automated Audio Data Augmentation Network Using Bi-Level Optimization for Sound Event Localization and Detection.
IEEE Signal Process. Lett., 2024

Alternative evaluation of industrial surface defect synthesis data based on analytic hierarchy process.
J. Electronic Imaging, 2024

Few-Shot Object Detection with Sparse Context Transformers.
CoRR, 2024

Sparse Context Transformer for Few-Shot Object Detection.
Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

DiffuSaliency: Synthesizing Multi-object Images with Masks for Semantic Segmentation Using Diffusion and Saliency Detection.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Adaptive Dual Attention Fusion Network for RGB-D Surface Defect Detection.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Corner Detection: Passive Non-Lin-of-Sight Pedestrian Detection.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Context Mutual Evolution Network for Weakly Supervised Surface Defect Detection.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
A novel adaptive beamforming scheme for array signal data processing.
EURASIP J. Wirel. Commun. Netw., December, 2023

User-Guided Personalized Image Aesthetic Assessment Based on Deep Reinforcement Learning.
IEEE Trans. Multim., 2023

Global Context Aggregation Network for Lightweight Saliency Detection of Surface Defects.
CoRR, 2023

CINFormer: Transformer network with multi-stage CNN feature injection for surface defect segmentation.
CoRR, 2023

Decision Fusion Network with Perception Fine-tuning for Defect Classification.
CoRR, 2023

Client Selection and Resource Allocation for Federated Learning in Digital-Twin-Enabled Industrial Internet of Things.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

DFAR-Net: Dual-Input Three-Branch Attention Fusion Reconstruction Network for Polarized Non-Line-of-Sight Imaging.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Aging-aware Incentive Mechanism Design for Federated Learning in Industrial Internet of Things.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

2022
Joint Attention-Guided Feature Fusion Network for Saliency Detection of Surface Defects.
IEEE Trans. Instrum. Meas., 2022

Context-Aware Block Net for Small Object Detection.
IEEE Trans. Cybern., 2022

Transferring priors from virtual data for crowd counting in real world.
Frontiers Comput. Sci., 2022

Trajectory distributions: A new description of movement for trajectory prediction.
Comput. Vis. Media, 2022

Multi-scale Feature Aggregation for Crowd Counting.
CoRR, 2022

Fast Object Annotation in Point Clouds Aided by 3D Reconstruction.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

An object detection method from 3D point clouds based on seed filtering.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

Focal and Global Spatial-Temporal Transformer for Skeleton-Based Action Recognition.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
Density-Aware Multi-Task Learning for Crowd Counting.
IEEE Trans. Multim., 2021

SDDNet: A Fast and Accurate Network for Surface Defect Detection.
IEEE Trans. Instrum. Meas., 2021

Multi-label correlation guided feature fusion network for abnormal ECG diagnosis.
Knowl. Based Syst., 2021

Probability Trajectory: One New Movement Description for Trajectory Prediction.
CoRR, 2021

2020
Learning Multi-Level Density Maps for Crowd Counting.
IEEE Trans. Neural Networks Learn. Syst., 2020

Handwriting posture prediction based on unsupervised model.
Pattern Recognit., 2020

MDSSD: multi-scale deconvolutional single shot detector for small objects.
Sci. China Inf. Sci., 2020

Attention Scaling for Crowd Counting.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Motion-Aware Compression and Transmission of Mesh Animation Sequences.
ACM Trans. Intell. Syst. Technol., 2019

Traffic Simulation and Visual Verification in Smog.
ACM Trans. Intell. Syst. Technol., 2019

Depth Information Guided Crowd Counting for complex crowd scenes.
Pattern Recognit. Lett., 2019

Disassembling a 3D mechanism for efficient packing.
Comput. Animat. Virtual Worlds, 2019

2018
Convolution in Convolution for Network in Network.
IEEE Trans. Neural Networks Learn. Syst., 2018

Cascaded Subpatch Networks for Effective CNNs.
IEEE Trans. Neural Networks Learn. Syst., 2018

Deep neural networks with Elastic Rectified Linear Units for object recognition.
Neurocomputing, 2018

Depth Information Guided Crowd Counting for Complex Crowd Scenes.
CoRR, 2018

Efficiently Disassemble-and-Pack for Mechanism.
CoRR, 2018

2017
Learning Pooling for Convolutional Neural Network.
Neurocomputing, 2017

2016
Speed up deep neural network based pedestrian detection by sharing features across multi-scale models.
Neurocomputing, 2016

2015
Efficient object detection by prediction in 3D space.
Signal Process., 2015

Flexible sliding windows with adaptive pixel strides.
Signal Process., 2015


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