Jinhong Deng

Orcid: 0000-0003-0939-0669

According to our database1, Jinhong Deng authored at least 13 papers between 2021 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Balanced Teacher for Source-Free Object Detection.
IEEE Trans. Circuits Syst. Video Technol., August, 2024

Cross-Domain Detection Transformer Based on Spatial-Aware and Semantic-Aware Token Alignment.
IEEE Trans. Multim., 2024

Domain Adaptive Detection of MAVs: A Benchmark and Noise Suppression Network.
CoRR, 2024

2023
Unsupervised Domain Adaptation for Optical Flow Estimation.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Harmonious Teacher for Cross-Domain Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Text Enhancement Network for Cross-Domain Scene Text Detection.
IEEE Signal Process. Lett., 2022

Cross-domain Detection Transformer based on Spatial-aware and Semantic-aware Token Alignment.
CoRR, 2022

Motion and Appearance Adaptation for Cross-domain Motion Transfer.
Proceedings of the Computer Vision - ECCV 2022, 2022

Revisiting AP Loss for Dense Object Detection: Adaptive Ranking Pair Selection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Undoing the Damage of Label Shift for Cross-domain Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Denoised Maximum Classifier Discrepancy for Source-Free Unsupervised Domain Adaptation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
BAPA-Net: Boundary Adaptation and Prototype Alignment for Cross-domain Semantic Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Unbiased Mean Teacher for Cross-Domain Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021


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