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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Read-only Prompt Optimization for Vision-Language Few-shot Learning
Dongjun Lee, Seokwon Song, Jihee Suh, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 1401-1411
Open Access | Times Cited: 17

Showing 17 citing articles:

Learning with Enriched Inductive Biases for Vision-Language Models
Lingxiao Yang, Ru‐Yuan Zhang, Qi Chen, et al.
International Journal of Computer Vision (2025)
Closed Access
CSP-DCPE: Category-Specific Prompt with Deep Contextual Prompt Enhancement for Vision–Language Models
Chunlei Wu, Yixiang Wu, Qinfu Xu, et al.
Electronics (2025) Vol. 14, Iss. 4, pp. 673-673
Open Access
UMPA: Unified multi-modal prompt with adapter for vision-language models
Jin Zhao, Yun Wei
Multimedia Systems (2025) Vol. 31, Iss. 2
Closed Access
Large Language Models are Good Prompt Learners for Low-Shot Image Classification
Zhaoheng Zheng, Jingmin Wei, Xuefeng Hu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 5, pp. 28453-28462
Closed Access | Times Cited: 2
MMA: Multi-Modal Adapter for Vision-Language Models
Lingxiao Yang, Ru‐Yuan Zhang, Yanchen Wang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 35, pp. 23826-23837
Closed Access | Times Cited: 2
TCP: Textual-Based Class-Aware Prompt Tuning for Visual-Language Model
Hantao Yao, Rui Zhang, Changsheng Xu
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 35, pp. 23438-23448
Closed Access | Times Cited: 1
Explore the Potential of CLIP for Training-Free Open Vocabulary Semantic Segmentation
Tong Shao, Zhuotao Tian, Hang Zhao, et al.
Lecture notes in computer science (2024), pp. 139-156
Closed Access | Times Cited: 1
Dgprompt: Dual-Guidance Prompts Generation for Vision-Language Models
Tai Xiong Zheng, Zhen-Duo Chen, Zi-Chao Zhang, et al.
(2024)
Closed Access
Low-Shot Prompt Tuning for Multiple Instance Learning Based Histology Classification
Philip Chikontwe, Myeongkyun Kang, Miguel A. Cabra de Luna, et al.
Lecture notes in computer science (2024), pp. 285-295
Closed Access
Multi-layer Tuning CLIP for Few-Shot Image Classification
Ruihao Zhang, Jinsong Geng, Chengyuan Liu, et al.
Lecture notes in computer science (2024), pp. 173-186
Closed Access
Missing Modality Prediction for Unpaired Multimodal Learning via Joint Embedding of Unimodal Models
Donggeun Kim, T. Kim
Lecture notes in computer science (2024), pp. 171-187
Closed Access
Quantized Prompt for Efficient Generalization of Vision-Language Models
Tianxiang Hao, Xiaohan Ding, Juexiao Feng, et al.
Lecture notes in computer science (2024), pp. 54-73
Closed Access
Conditioned Prompt-Optimization for Continual Deepfake Detection
Francesco Laiti, Benedetta Liberatori, Thomas De Min, et al.
Lecture notes in computer science (2024), pp. 64-79
Closed Access
CaFGD: Context Auto-Filling via Gradient Descent
Z. H. Qin, Yanyan Liu, Shaopu Wang, et al.
(2024), pp. 551-557
Closed Access
Multi-modal Attribute Prompting for Vision-Language Models
Xin Liu, Jiamin Wu, Wenfei Yang, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2024) Vol. 34, Iss. 11, pp. 11579-11591
Open Access
Multimodal dynamic fusion framework: Multilevel feature fusion guided by prompts
Lei Pan, H. Wu
Expert Systems (2024) Vol. 41, Iss. 11
Closed Access
uCAP: An Unsupervised Prompting Method for Vision-Language Models
An-phi Nguyen, Kai Sheng Tai, Bor-Chun Chen, et al.
Lecture notes in computer science (2024), pp. 425-439
Closed Access
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