Sifan Long

Orcid: 0000-0001-7060-1133

Affiliations:
  • Jilin University, College of Computer Science and Technology, Changchun, China


According to our database1, Sifan Long authored at least 19 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Semantic consistency learning across temporal scales for weakly supervised video anomaly detection.
Knowl. Based Syst., 2026

2025
SOEDiff: Efficient Distillation for Small Object Editing.
ACM Trans. Multim. Comput. Commun. Appl., November, 2025

Mutual Prompt Leaning for Vision Language Models.
Int. J. Comput. Vis., March, 2025

A Slim Prompt-Averaged Consistency prompt learning for vision-language model.
Knowl. Based Syst., 2025

Prompt-induced prototype alignment for few-shot unsupervised domain adaptation.
Expert Syst. Appl., 2025

2024
Bidirectional feature enhancement transformer for unsupervised domain adaptation.
Vis. Comput., September, 2024

SOEDiff: Efficient Distillation for Small Object Editing.
CoRR, 2024

Training-Free Unsupervised Prompt for Vision-Language Models.
CoRR, 2024

Troublemaker Learning for Low-Light Image Enhancement.
CoRR, 2024

Towards Small Object Editing: A Benchmark Dataset and A Training-Free Approach.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023
Causal view mechanism for adversarial domain adaptation.
Multim. Tools Appl., December, 2023

Sample separation and domain alignment complementary learning mechanism for open set domain adaptation.
Appl. Intell., August, 2023

Task-Oriented Multi-Modal Mutual Leaning for Vision-Language Models.
CoRR, 2023

HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Task-Oriented Multi-Modal Mutual Learning for Vision-Language Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Cross-domain feature enhancement for unsupervised domain adaptation.
Appl. Intell., 2022


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