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researcher

Sifan Long

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.IV1
ORCID 0000-0001-7060-1133
same name
  • Sifan Long — 3 papers
  • Sifan Long — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedHAP: Structure-Aware Masked Image Modeling for Human-Centric Perception

5 citations · 7 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2024

Training-Free Unsupervised Prompt for Vision-Language Models

Sifan Long, Linbin Wang, Zhen Zhao +4

Prompt learning has become the most effective paradigm for adapting large pre-trained vision-language models (VLMs) to downstream tasks. Recently, unsupervised prompt tuning method…

eess.IV2024★ 1 cited

Troublemaker Learning for Low-Light Image Enhancement

Yinghao Song, Zhiyuan Cao, Wanhong Xiang +5

Low-light image enhancement (LLIE) restores the color and brightness of underexposed images. Supervised methods suffer from high costs in collecting low/normal-light image pairs. U…

cs.CV2023★ 5 cited

HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception

Junkun Yuan, Xinyu Zhang, Hao Zhou +12

Model pre-training is essential in human-centric perception. In this paper, we first introduce masked image modeling (MIM) as a pre-training approach for this task. Upon revisiting…

cs.CV2023★ 1 cited

Task-Oriented Multi-Modal Mutual Leaning for Vision-Language Models

Sifan Long, Zhen Zhao, Junkun Yuan +5

Prompt learning has become one of the most efficient paradigms for adapting large pre-trained vision-language models to downstream tasks. Current state-of-the-art methods, like CoO…

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