Pinhao Song

Orcid: 0000-0002-3950-0403

According to our database1, Pinhao Song authored at least 16 papers between 2020 and 2024.

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Bibliography

2024
Robot Trajectron: Trajectory Prediction-based Shared Control for Robot Manipulation.
CoRR, 2024

Domain Similarity-Perceived Label Assignment for Domain Generalized Underwater Object Detection.
CoRR, 2024

2023
AO2-DETR: Arbitrary-Oriented Object Detection Transformer.
IEEE Trans. Circuits Syst. Video Technol., May, 2023

Boosting R-CNN: Reweighting R-CNN samples by RPN's error for underwater object detection.
Neurocomputing, April, 2023

Achieving domain generalization for underwater object detection by domain mixup and contrastive learning.
Neurocomputing, April, 2023

A Gated Cross-domain Collaborative Network for Underwater Object Detection.
CoRR, 2023

Edge-guided Representation Learning for Underwater Object Detection.
CoRR, 2023

IGG: Improved Graph Generation for Domain Adaptive Object Detection.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Bagging R-CNN: Ensemble for Object Detection in Complex Traffic Scenes.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Contrastive Learning from Spatio-Temporal Mixed Skeleton Sequences for Self-Supervised Skeleton-Based Action Recognition.
CoRR, 2022

Boosting R-CNN: Reweighting R-CNN Samples by RPN's Error for Underwater Object Detection.
CoRR, 2022

Excavating RoI Attention for Underwater Object Detection.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Pose-Guided Feature Disentangling for Occluded Person Re-identification Based on Transformer.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Achieving Domain Generalization in Underwater Object Detection by Image Stylization and Domain Mixup.
CoRR, 2021

2020
WQT and DG-YOLO: towards domain generalization in underwater object detection.
CoRR, 2020

Towards Domain Generalization In Underwater Object Detection.
Proceedings of the IEEE International Conference on Image Processing, 2020


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