Shengnan Hu

According to our database, Shengnan Hu authored at least 23 papers between 2016 and 2026.

Collaborative distances:

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

2026

Learning Topology-Aware Dynamic Associations for Robust Multi-Person Pose Estimation.

Shengnan Hu, Yandong Liu, Jiangnan Liu, Yahong Chen

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

BTDS: Blockchain-Enabled Trusted Vehicle Violation Detection by Self-Supervision.

Rui Zhu, Shengnan Hu, Sumi Helal, Junqiao Song, Jishu Wang, Yeting Chen

IEEE Internet Things J., June, 2025

U-DPAP: Utility-aware Efficient Range Counting on Privacy-preserving Spatial Data Federation.

Yahong Chen, Xiaoyi Pang, Xiaoguang Li, Hanyi Wang, Ben Niu, Shengnan Hu

Proc. ACM Manag. Data, February, 2025

Existence of solutions to the even Gaussian dual Minkowski problem.

Yibin Feng, Shengnan Hu, Lei Xu

Adv. Appl. Math., 2025

SlimPose: Lightweight Multi-Person Pose Estimation via Multi-Scale Structural Feature Fusion and Selective Attention.

Yandong Liu, Jiangnan Liu, Xi Peng, Shengnan Hu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

2024

Strategic Analysis of the Parameter Servers and Participants in Federated Learning: An Evolutionary Game Perspective.

Xinggang Luo, Zhongliang Zhang, Jiahuan He, Shengnan Hu

IEEE Trans. Comput. Soc. Syst., February, 2024

Multimodal Fusion Networks for Workload Modeling.

Shengnan Hu, Gita Sukthankar

Proceedings of the International Conference on Machine Learning and Applications, 2024

2023

LAMP: Leveraging Language Prompts for Multi-Person Pose Estimation.

Shengnan Hu, Ce Zheng, Zixiang Zhou, Chen Chen, Gita Sukthankar

IROS, 2023

The Potential of Vision-Language Models for Content Moderation of Children's Videos.

Syed Hammad Ahmed, Shengnan Hu, Gita Sukthankar

Proceedings of the International Conference on Machine Learning and Applications, 2023

Research on Deep Learning-Based SAR Image Denoising Algorithm.

Shengnan Hu, Ruihan Mao, Hua Li

Proceedings of the 10th International Conference on Dependable Systems and Their Applications, 2023

2022

Predicting Team Performance with Spatial Temporal Graph Convolutional Networks.

Shengnan Hu, Gita Sukthankar

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

Representing Time Series Data in Intelligent Training Systems.

Shengnan Hu, Zerong Xi, Greg McGowin, Gita Sukthankar, Stephen M. Fiore, Kevin Oden

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

2020

Efficient Ranked Multi-Keyword Retrieval With Privacy Protection for Multiple Data Owners in Cloud Computing.

Jianfei Sun, Shengnan Hu, Xuyun Nie, Joojo Walker

IEEE Syst. J., 2020

Near-Infrared Depth-Independent Image Dehazing using Haar Wavelets.

Sumit Laha, Ankit Kumar Sharma, Shengnan Hu, Hassan Foroosh

Proceedings of the 25th International Conference on Pattern Recognition, 2020

CCA: Exploring the Possibility of Contextual Camouflage Attack on Object Detection.

Shengnan Hu, Yang Zhang, Sumit Laha, Ankit Kumar Sharma, Hassan Foroosh

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Gait Phase Detection of Exoskeleton Robot Based on Optimized DAG-SVM.

Shengnan Hu, Jianbin Zheng, Liping Huang

Proceedings of the CSAE 2020: The 4th International Conference on Computer Science and Application Engineering, 2020

2019

Learning Compact Appearance Representation for Video-Based Person Re-Identification.

Wei Zhang, Shengnan Hu, Kan Liu, Zheng-Jun Zha

IEEE Trans. Circuits Syst. Video Technol., 2019

Fine-Grained Ranked Multi-Keyword Search Over Hierarchical Data for IoT-Oriented Health System.

Jianfei Sun, Shengnan Hu, Xuyun Nie

IEEE Access, 2019

2017

Motion-free exposure fusion based on inter-consistency and intra-consistency.

Wei Zhang, Shengnan Hu, Kan Liu, Jian Yao

Inf. Sci., 2017

Patch-Based correlation for deghosting in exposure fusion.

Wei Zhang, Shengnan Hu, Kan Liu

Inf. Sci., 2017

Learning Compact Appearance Representation for Video-based Person Re-Identification.

Wei Zhang, Shengnan Hu, Kan Liu

CoRR, 2017

Exploiting patch-based correlation for ghost removal in exposure fusion.

Shengnan Hu, Wei Zhang

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

2016

高动态范围成像技术中的鬼影检测与去除方法综述 (Survey of Ghost Detection and Removal Methods in HDR Imaging Technology).

Shengnan Hu, Wei Zhang, Kan Liu, Jianjun Gu

计算机科学, 2016