Jiahao Nie

Orcid: 0000-0002-1474-1817

Affiliations:
  • Hangzhou Dianzi University, School of Electronic Information, China


According to our database1, Jiahao Nie authored at least 14 papers between 2022 and 2024.

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

Timeline

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Bibliography

2024
A fine-grained feature decoupling based multi-source domain adaptation network for rotating machinery fault diagnosis.
Reliab. Eng. Syst. Saf., March, 2024

Towards Category Unification of 3D Single Object Tracking on Point Clouds.
CoRR, 2024

2023
Learning task-specific discriminative representations for multiple object tracking.
Neural Comput. Appl., April, 2023

Learning Localization-Aware Target Confidence for Siamese Visual Tracking.
IEEE Trans. Multim., 2023

Leveraging temporal-aware fine-grained features for robust multiple object tracking.
J. Supercomput., 2023

FAML-RT: Feature alignment-based multi-level similarity metric learning network for a two-stage robust tracker.
Inf. Sci., 2023

BEVTrack: A Simple Baseline for 3D Single Object Tracking in Bird's-Eye-View.
CoRR, 2023

OSP2B: One-Stage Point-to-Box Network for 3D Siamese Tracking.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

GLT-T: Global-Local Transformer Voting for 3D Single Object Tracking in Point Clouds.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Spreading Fine-Grained Prior Knowledge for Accurate Tracking.
IEEE Trans. Circuits Syst. Video Technol., 2022

MSA-MOT: Multi-Stage Association for 3D Multimodality Multi-Object Tracking.
Sensors, 2022

One-Shot Multiple Object Tracking in UAV Videos Using Task-Specific Fine-Grained Features.
Remote. Sens., 2022

Learning Localization-aware Target Confidence for Siamese Visual Tracking.
CoRR, 2022

Hierarchical Feature Fusion based Reconstruction Network for Unsupervised Anomaly Detection.
Proceedings of the 27th IEEE International Conference on Emerging Technologies and Factory Automation, 2022


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