Junjie Li

Orcid: 0000-0002-2906-8514

Affiliations:
  • Beijing University of Posts and Telecommunications, Beijing, China
  • University Of Science And Technology Of China, Hefei, China


According to our database1, Junjie Li authored at least 17 papers between 2020 and 2024.

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

Timeline

2020
2021
2022
2023
2024
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4
5
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7
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9
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5
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Probabilistic Contrastive Learning for Domain Adaptation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Semantic-Guided Robustness Tuning for Few-Shot Transfer Across Extreme Domain Shift.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Learning complementary semantic information for zero-shot recognition.
Signal Process. Image Commun., July, 2023

A super-resolution strategy for mass spectrometry imaging via transfer learning.
Nat. Mac. Intell., June, 2023

Video Semantic Segmentation with Inter-Frame Feature Fusion and Inner-Frame Feature Refinement.
CoRR, 2023

Semi-supervised Domain Adaptation via Joint Contrastive Learning with Sensitivity.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Towards Effective Instance Discrimination Contrastive Loss for Unsupervised Domain Adaptation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Revisiting Foreground and Background Separation in Weakly-supervised Temporal Action Localization: A Clustering-based Approach.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Boundary-enhanced Co-training for Weakly Supervised Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Exploit Domain-Robust Optical Flow in Domain Adaptive Video Semantic Segmentation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Low-confidence Samples Matter for Domain Adaptation.
CoRR, 2022

Exploring High-quality Target Domain Information for Unsupervised Domain Adaptive Semantic Segmentation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021
5th Place Solution for VSPW 2021 Challenge.
CoRR, 2021

Probability Contrastive Learning for Domain Adaptation.
CoRR, 2021

Multi-level Discriminator and Wavelet Loss for Image Inpainting with Large Missing Area.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Learning Intact Features by Erasing-Inpainting for Few-shot Classification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Image Inpainting with Contrastive Relation Network.
Proceedings of the 25th International Conference on Pattern Recognition, 2020


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