Xiaoheng Jiang

According to our database, Xiaoheng Jiang authored at least 71 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Echo Depth Estimation via Attention-based Hierarchical Multi-scale Feature Fusion Network.

Wenjie Zhang, Jun Yin, Peng Yu, Yibo Guo, Xiaoheng Jiang, Shaohui Jin, Ming Liang Xu

ACM Trans. Multim. Comput. Commun. Appl., August, 2025

Foreground-background separation transformer for weakly supervised surface defect detection.

Xiaoheng Jiang, Jian Feng, Feng Yan, Yang Lu, Quanhai Fa, Wenjie Zhang, Mingliang Xu

J. Intell. Manuf., August, 2025

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models.

Dong Chen, Zhengqing Hu, Peiguang Fan, Yueting Zhuang, Yafei Li, Qidong Liu, Xiaoheng Jiang, Mingliang Xu

CoRR, February, 2025

CrossDiff: Diffusion Probabilistic Model With Cross-conditional Encoder-Decoder for Crack Segmentation.

Xianglong Shi, Yunhan Jiang, Xiaoheng Jiang, Mingling Xu, Yang Liu

CoRR, January, 2025

An Efficient Ungrouped Mask Method With two Learnable Parameters for 3D Object Detection.

Shuai Guo, Lei Shi, Xiaoheng Jiang, Pei Lv, Qidong Liu, Yazhou Hu, Rongrong Ji, Mingliang Xu

IEEE Trans. Multim., 2025

Industrial product quality assessment using deep learning with defect attributes.

Gaowei Zhang, Yang Lu, Xiaoheng Jiang, Feng Yan, Mingliang Xu

Pattern Recognit. Lett., 2025

Enhanced multiscale attentional feature fusion model for defect detection on steel surfaces.

Yongkai Xia, Yang Lu, Xiaoheng Jiang, Mingliang Xu

Pattern Recognit. Lett., 2025

From a perceptual perspective: No-Reference Image Quality Assessment using Dual Perception Hybrid Network.

Yang Lu, Zifan Yang, Zilu Zhou, Gaowei Zhang, Xiaoheng Jiang, Mingliang Xu

Pattern Recognit. Lett., 2025

Hierarchical Differential Attention for Multimodal Relation Extraction.

Yun Liu, Xiaoheng Jiang, Yang Lu, Kunli Zhang, Yafei Li, Mingliang Xu

Knowl. Based Syst., 2025

Adaptive multimodal deep prompt learning for blind image quality assessment.

Yang Lu, Kunhao Lv, Zilu Zhou, Xiaoheng Jiang

J. Electronic Imaging, 2025

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

Junaid Abdul Wahid, Muhammad Ayoub, Mingliang Xu, Xiaoheng Jiang, Lei Shi, Shabir Hussain

Neurocomputing, 2025

RRGMambaFormer: A hybrid Transformer-Mamba architecture for radiology report generation.

Hongzhao Li, Siwei Liu, Hui Wang, Xiaoheng Jiang, Mingyuan Jiu, Li Chen, Yang Lu, Shupan Li, Mingliang Xu

Expert Syst. Appl., 2025

P3TFusion: Progressive Two-Stage Infrared and Visible Image Fusion Network Focused on Enhancing Target and Texture Information.

Shupan Li, Yuan Zhang, Xiaoheng Jiang, Mingyuan Jiu, Yang Lu, Li Chen, Wei Guo, Yan Chen, Ming Dong, Mingliang Xu

Digit. Signal Process., 2025

Multi-Layer Cross-Modal Prompt Fusion for No-Reference Image Quality Assessment.

Yang Lu, Zilu Zhou, Zifan Yang, Shuangyao Han, Xiaoheng Jiang, Mingliang Xu

Displays, 2025

AI-driven social media text analysis during crisis: A review for natural disasters and pandemics.

Junaid Abdul Wahid, Mingliang Xu, Muhammad Ayoub, Xiaoheng Jiang, Lei Shi, Yufei Gao, Shabir Hussain, Yu Yang

Appl. Soft Comput., 2025

LGGFormer: A dual-branch local-guided global self-attention network for surface defect segmentation.

Gaowei Zhang, Yang Lu, Xiaoheng Jiang, Shaohui Jin, Shupan Li, Mingliang Xu

Adv. Eng. Informatics, 2025

DefGAN-Im: Adversarial Industrial Defect Synthesis with Conditional Feature Disentanglement on Imbalanced Datasets.

Xiaofei Nan, Yiming Zhu, Jinyu Fan, Wenyang Li, Yuzhuo Wang, Xiaoheng Jiang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Wavelet and Prototype Augmented Query-based Transformer for Pixel-level Surface Defect Detection.

Feng Yan, Xiaoheng Jiang, Yang Lu, Jiale Cao, Dong Chen, Mingliang Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

LAGNet: A Location-Aware Guidance Network for Weak and Strip Defect Detection.

Lisha Cui, Helong Jiao, Tengyue Liu, Chunyan Niu, Ming Ma, Xiaoheng Jiang, Mingliang Xu

Proceedings of the Computational Visual Media - 13th International Conference, 2025

EchoDiffusion: Waveform Conditioned Diffusion Models for Echo-Based Depth Estimation.

Wenjie Zhang, Jun Yin, Long Ma, Peng Yu, Xiaoheng Jiang, Zhen Tian, Mingliang Xu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Hierarchical symmetric cross entropy for distant supervised relation extraction.

Yun Liu, Xiaoheng Jiang, Pengshuai Lv, Yang Lu, Shupan Li, Kunli Zhang, Mingliang Xu

Appl. Intell., November, 2024

Context-Aware Adaptive Weighted Attention Network for Real-Time Surface Defect Segmentation.

Gaowei Zhang, Yang Lu, Xiaoheng Jiang, Feng Yan, Mingliang Xu

IEEE Trans. Instrum. Meas., 2024

TAANet: A Task-Aware Attention Network for Weak Surface Defect Detection.

Lisha Cui, Suran Xie, Enqing Chen, Xiaoheng Jiang, Zhiyu Wang, Xunjiang Guo, Mingliang Xu

IEEE Trans. Instrum. Meas., 2024

Automated Audio Data Augmentation Network Using Bi-Level Optimization for Sound Event Localization and Detection.

Wenjie Zhang, Peng Yu, Jun Yin, Xiaoheng Jiang, Mingliang Xu

IEEE Signal Process. Lett., 2024

Alternative evaluation of industrial surface defect synthesis data based on analytic hierarchy process.

Yang Lu, Hang Hao, Linhui Chen, Longfei Yang, Xiaoheng Jiang

J. Electronic Imaging, 2024

CLIPer: Hierarchically Improving Spatial Representation of CLIP for Open-Vocabulary Semantic Segmentation.

Lin Sun, Jiale Cao, Jin Xie, Xiaoheng Jiang, Yanwei Pang

CoRR, 2024

Few-Shot Object Detection with Sparse Context Transformers.

Jie Mei, Mingyuan Jiu, Hichem Sahbi, Xiaoheng Jiang, Mingliang Xu

CoRR, 2024

Sparse Context Transformer for Few-Shot Object Detection.

Mingyuan Jiu, Jie Mei, Hichem Sahbi, Xiaoheng Jiang, Mingliang Xu

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.

Yunhan Jiang, Xianglong Shi, Xiaoheng Jiang, Jian Feng, Yang Lu, Mingliang Xu

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Adaptive Dual Attention Fusion Network for RGB-D Surface Defect Detection.

Xiaoheng Jiang, Jingqi Liu, Feng Yan, Yang Lu, Shaohui Jin, Hao Liu, Mingliang Xu

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Corner Detection: Passive Non-Lin-of-Sight Pedestrian Detection.

Mingyang Chen, Shaohui Jin, Zhicheng Liu, Xiaoheng Jiang, Jiyue Wang, Hao Liu, Mingliang Xu

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Context Mutual Evolution Network for Weakly Supervised Surface Defect Detection.

Xiaoheng Jiang, Penghui Xiao, Feng Yan, Yang Lu, Shaohui Jin, Mingliang Xu

Proceedings of the Pattern Recognition - 27th International Conference, 2024

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

Yichen Bai, Zongbo Han, Bing Cao, Xiaoheng Jiang, Qinghua Hu, Changqing Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

End-to-End Transformer Architecture with Novel Ensemble Learning Method Integrating CT Scans and Clinical Narratives for Brain Stroke Diagnosis.

Junaid Abdul Wahid, Muhammad Ayoub, Mingliang Xu, Xiaoheng Jiang, Lei Shi, Lifeng Li, Shabir Hussain, Ashfaque Khawaja, Yufei Gao

Proceedings of the Advances in Computer Graphics, 2024

2023

A novel adaptive beamforming scheme for array signal data processing.

Heping Shi, Guanghui Yan, Haijing Hou, Xiaoheng Jiang

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

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

Pei Lv, Jianqi Fan, Xixi Nie, Weiming Dong, Xiaoheng Jiang, Bing Zhou, Mingliang Xu, Changsheng Xu

IEEE Trans. Multim., 2023

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

Feng Yan, Xiaoheng Jiang, Yang Lu, Lisha Cui, Shupan Li, Jiale Cao, Mingliang Xu, Dacheng Tao

CoRR, 2023

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

Xiaoheng Jiang, Kaiyi Guo, Yang Lu, Feng Yan, Hao Liu, Jiale Cao, Mingliang Xu, Dacheng Tao

CoRR, 2023

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

Xiaoheng Jiang, Shilong Tian, Zhiwen Zhu, Yang Lu, Hao Liu, Li Chen, Shupan Li, Mingliang Xu

CoRR, 2023

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

Shuo He, Tianxiang Ren, Xiaoheng Jiang, Mingliang Xu

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.

Hao Liu, Pengfei Wang, Xin He, Ke Wang, Shaohu Jin, Pengyun Chen, Xiaoheng Jiang, Mingliang Xu

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.

Shuo He, Chu Wang, Hui Tian, Xiaoheng Jiang, Ruijie Zhu, Mingliang Xu

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.

Xiaoheng Jiang, Feng Yan, Yang Lu, Ke Wang, Shuai Guo, Tianzhu Zhang, Yanwei Pang, Jianwei Niu, Mingliang Xu

IEEE Trans. Instrum. Meas., 2022

Context-Aware Block Net for Small Object Detection.

Lisha Cui, Pei Lv, Xiaoheng Jiang, Zhimin Gao, Bing Zhou, Luming Zhang, Ling Shao, Mingliang Xu

IEEE Trans. Cybern., 2022

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

Xiaoheng Jiang, Hao Liu, Li Zhang, Geyang Li, Mingliang Xu, Pei Lv, Bing Zhou

Frontiers Comput. Sci., 2022

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

Pei Lv, Hui Wei, Tianxin Gu, Yuzhen Zhang, Xiaoheng Jiang, Bing Zhou, Mingliang Xu

Comput. Vis. Media, 2022

Multi-scale Feature Aggregation for Crowd Counting.

Xiaoheng Jiang, Xinyi Wu, Hisham Cholakkal, Rao Muhammad Anwer, Jiale Cao, Mingliang Xu, Bing Zhou, Yanwei Pang, Fahad Shahbaz Khan

CoRR, 2022

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

Shuai Guo, Lei Shi, Yuan Wen, Yazhou Hu, Qidong Liu, Xiaoheng Jiang, Mingliang Xu

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

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

Shuai Guo, Junxiang Liang, Lei Shi, Xiaoheng Jiang, Qidong Liu, Yazhou Hu, Mingliang Xu

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

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

Zhimin Gao, Peitao Wang, Pei Lv, Xiaoheng Jiang, Qidong Liu, Pichao Wang, Mingliang Xu, Wanqing Li

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

Density-Aware Multi-Task Learning for Crowd Counting.

Xiaoheng Jiang, Li Zhang, Tianzhu Zhang, Pei Lv, Bing Zhou, Yanwei Pang, Mingliang Xu, Changsheng Xu

IEEE Trans. Multim., 2021

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

Lisha Cui, Xiaoheng Jiang, Mingliang Xu, Wanqing Li, Pei Lv, Bing Zhou

IEEE Trans. Instrum. Meas., 2021

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

Zhaoyang Ge, Xiaoheng Jiang, Zhuang Tong, Panpan Feng, Bing Zhou, Mingliang Xu, Zongmin Wang, Yanwei Pang

Knowl. Based Syst., 2021

Probability Trajectory: One New Movement Description for Trajectory Prediction.

Pei Lv, Hui Wei, Tianxin Gu, Yuzhen Zhang, Xiaoheng Jiang, Bing Zhou, Mingliang Xu

CoRR, 2021

2020

Learning Multi-Level Density Maps for Crowd Counting.

Xiaoheng Jiang, Li Zhang, Pei Lv, Yibo Guo, Ruijie Zhu, Yafei Li, Yanwei Pang, Xi Li, Bing Zhou, Mingliang Xu

IEEE Trans. Neural Networks Learn. Syst., 2020

Handwriting posture prediction based on unsupervised model.

Bailin Yang, Yulong Zhang, Zhenguang Liu, Xiaoheng Jiang, Mingliang Xu

Pattern Recognit., 2020

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

Lisha Cui, Rui Ma, Pei Lv, Xiaoheng Jiang, Zhimin Gao, Bing Zhou, Mingliang Xu

Sci. China Inf. Sci., 2020

Attention Scaling for Crowd Counting.

Xiaoheng Jiang, Li Zhang, Mingliang Xu, Tianzhu Zhang, Pei Lv, Bing Zhou, Xin Yang, Yanwei Pang

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

2019

Motion-Aware Compression and Transmission of Mesh Animation Sequences.

Bailin Yang, Luhong Zhang, Frederick W. B. Li, Xiaoheng Jiang, Zhigang Deng, Meng Wang, Mingliang Xu

ACM Trans. Intell. Syst. Technol., 2019

Traffic Simulation and Visual Verification in Smog.

Mingliang Xu, Hua Wang, Shili Chu, Yong Gan, Xiaoheng Jiang, Yafei Li, Bing Zhou

ACM Trans. Intell. Syst. Technol., 2019

Depth Information Guided Crowd Counting for complex crowd scenes.

Mingliang Xu, Zhaoyang Ge, Xiaoheng Jiang, Gaoge Cui, Pei Lv, Bing Zhou, Changsheng Xu

Pattern Recognit. Lett., 2019

Disassembling a 3D mechanism for efficient packing.

Mingyuan Li, Xiaoheng Jiang, Ning-Bo Gu, Weiwei Xu, Junxiao Xue, Bing Zhou, Mingliang Xu

Comput. Animat. Virtual Worlds, 2019

2018

Convolution in Convolution for Network in Network.

Yanwei Pang, Manli Sun, Xiaoheng Jiang, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., 2018

Cascaded Subpatch Networks for Effective CNNs.

Xiaoheng Jiang, Yanwei Pang, Manli Sun, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., 2018

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

Xiaoheng Jiang, Yanwei Pang, Xuelong Li, Jing Pan, Yinghong Xie

Neurocomputing, 2018

Depth Information Guided Crowd Counting for Complex Crowd Scenes.

Mingliang Xu, Zhaoyang Ge, Xiaoheng Jiang, Gaoge Cui, Pei Lv, Bing Zhou

CoRR, 2018

Efficiently Disassemble-and-Pack for Mechanism.

Mingyuan Li, Xiaoheng Jiang, Ning-Bo Gu, Weiwei Xu, Junxiao Xue, Bing Zhou, Mingliang Xu

CoRR, 2018

2017

Learning Pooling for Convolutional Neural Network.

Manli Sun, Zhanjie Song, Xiaoheng Jiang, Jing Pan, Yanwei Pang

Neurocomputing, 2017

2016

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

Xiaoheng Jiang, Yanwei Pang, Xuelong Li, Jing Pan

Neurocomputing, 2016

2015

Efficient object detection by prediction in 3D space.

Yanwei Pang, Xiaoheng Jiang, Xuelong Li, Jing Pan

Signal Process., 2015

Flexible sliding windows with adaptive pixel strides.

Xiaoheng Jiang, Yanwei Pang, Jing Pan, Xuelong Li

Signal Process., 2015