Xiaoheng Jiang

Orcid: 0000-0002-5770-0417

According to our database¹, Xiaoheng Jiang authored at least 39 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Few-Shot Object Detection with Sparse Context Transformers.

[BibT_eX]

[DOI]

CoRR, 2024

2023

A novel adaptive beamforming scheme for array signal data processing.

[BibT_eX]

[DOI]

EURASIP J. Wirel. Commun. Netw., December, 2023

User-Guided Personalized Image Aesthetic Assessment Based on Deep Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Client Selection and Resource Allocation for Federated Learning in Digital-Twin-Enabled Industrial Internet of Things.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2022

Context-Aware Block Net for Small Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Transferring priors from virtual data for crowd counting in real world.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2022

Trajectory distributions: A new description of movement for trajectory prediction.

[BibT_eX]

[DOI]

Comput. Vis. Media, 2022

Multi-scale Feature Aggregation for Crowd Counting.

[BibT_eX]

[DOI]

CoRR, 2022

Fast Object Annotation in Point Clouds Aided by 3D Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

An object detection method from 3D point clouds based on seed filtering.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

Focal and Global Spatial-Temporal Transformer for Skeleton-Based Action Recognition.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

Density-Aware Multi-Task Learning for Crowd Counting.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2021

SDDNet: A Fast and Accurate Network for Surface Defect Detection.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2021

Multi-label correlation guided feature fusion network for abnormal ECG diagnosis.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Probability Trajectory: One New Movement Description for Trajectory Prediction.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Learning Multi-Level Density Maps for Crowd Counting.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Handwriting posture prediction based on unsupervised model.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

MDSSD: multi-scale deconvolutional single shot detector for small objects.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2020

Attention Scaling for Crowd Counting.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Motion-Aware Compression and Transmission of Mesh Animation Sequences.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2019

Traffic Simulation and Visual Verification in Smog.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2019

Depth Information Guided Crowd Counting for complex crowd scenes.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2019

Disassembling a 3D mechanism for efficient packing.

[BibT_eX]

[DOI]

Comput. Animat. Virtual Worlds, 2019

2018

Convolution in Convolution for Network in Network.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Cascaded Subpatch Networks for Effective CNNs.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

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

[BibT_eX]

[DOI]

Neurocomputing, 2018

Depth Information Guided Crowd Counting for Complex Crowd Scenes.

[BibT_eX]

[DOI]

CoRR, 2018

Efficiently Disassemble-and-Pack for Mechanism.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Learning Pooling for Convolutional Neural Network.

[BibT_eX]

[DOI]

Neurocomputing, 2017

2016

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

[BibT_eX]

[DOI]

Neurocomputing, 2016

2015

Efficient object detection by prediction in 3D space.

[BibT_eX]

[DOI]

Signal Process., 2015

Flexible sliding windows with adaptive pixel strides.

[BibT_eX]

[DOI]

Signal Process., 2015

Xiaoheng Jiang

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