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:

Learning to Prompt for Vision-Language Models
Kaiyang Zhou, Jingkang Yang, Chen Change Loy, et al.
International Journal of Computer Vision (2022) Vol. 130, Iss. 9, pp. 2337-2348
Closed Access | Times Cited: 1148

Showing 1-25 of 1148 citing articles:

Conditional Prompt Learning for Vision-Language Models
Kaiyang Zhou, Jingkang Yang, Chen Change Loy, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 681

Domain Generalization: A Survey
Kaiyang Zhou, Ziwei Liu, Yu Qiao, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022), pp. 1-20
Open Access | Times Cited: 617

Grounded Language-Image Pre-training
Liunian Harold Li, Pengchuan Zhang, Haotian Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 10955-10965
Open Access | Times Cited: 461

DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting
Yongming Rao, Wenliang Zhao, Guangyi Chen, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 18061-18070
Open Access | Times Cited: 331

CLIP-Adapter: Better Vision-Language Models with Feature Adapters
Peng Gao, Shijie Geng, Renrui Zhang, et al.
International Journal of Computer Vision (2023) Vol. 132, Iss. 2, pp. 581-595
Closed Access | Times Cited: 322

MaPLe: Multi-modal Prompt Learning
Muhammad Uzair Khattak, Hanoona Rasheed, Muhammad Maaz, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 19113-19122
Open Access | Times Cited: 273

GPT understands, too
Xiao Liu, Yanan Zheng, Zhengxiao Du, et al.
AI Open (2023) Vol. 5, pp. 208-215
Open Access | Times Cited: 228

A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Yisheng Song, Ting Wang, Puyu Cai, et al.
ACM Computing Surveys (2023) Vol. 55, Iss. 13s, pp. 1-40
Open Access | Times Cited: 227

Robust fine-tuning of zero-shot models
Mitchell Wortsman, Gabriel Ilharco, Jong Wook Kim, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 220

PointCLIP: Point Cloud Understanding by CLIP
Renrui Zhang, Ziyu Guo, Wei Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 8542-8552
Open Access | Times Cited: 219

Image Segmentation Using Text and Image Prompts
Timo Lüddecke, Alexander S. Ecker
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 7076-7086
Open Access | Times Cited: 217

OneFormer: One Transformer to Rule Universal Image Segmentation
Jitesh Jain, Jiachen Li, MangTik Chiu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 2989-2998
Open Access | Times Cited: 195

Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP
Feng Liang, Bichen Wu, Xiaoliang Dai, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 7061-7070
Open Access | Times Cited: 187

Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model
Yu Du, Fangyun Wei, Zihe Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 14064-14073
Open Access | Times Cited: 182

VL-ADAPTER: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks
Yi-Lin Sung, Jaemin Cho, Mohit Bansal
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 5217-5227
Open Access | Times Cited: 171

Exploring CLIP for Assessing the Look and Feel of Images
Jianyi Wang, Kelvin C. K. Chan, Chen Change Loy
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 2, pp. 2555-2563
Open Access | Times Cited: 167

CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation
Aditya Sanghi, Hang Chu, Joseph G. Lambourne, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 18582-18592
Open Access | Times Cited: 134

Prompt Distribution Learning
Yuning Lu, Jianzhuang Liu, Yonggang Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 5196-5205
Open Access | Times Cited: 127

Side Adapter Network for Open-Vocabulary Semantic Segmentation
Mengde Xu, Zheng Zhang, Fangyun Wei, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 2945-2954
Open Access | Times Cited: 116

Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling
Renrui Zhang, Rongyao Fang, Wei Zhang, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 111

CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
Jie Liu, Yixiao Zhang, Jie-Neng Chen, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 21095-21107
Closed Access | Times Cited: 109

A visual-language foundation model for computational pathology
Ming Lu, Bowen Chen, Drew F. K. Williamson, et al.
Nature Medicine (2024) Vol. 30, Iss. 3, pp. 863-874
Open Access | Times Cited: 108

Open-Vocabulary DETR with Conditional Matching
Yuhang Zang, Wei Li, Kaiyang Zhou, et al.
Lecture notes in computer science (2022), pp. 106-122
Closed Access | Times Cited: 104

Vision-Language Models for Vision Tasks: A Survey
J Zhang, Jiaxing Huang, Sheng Jin, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 8, pp. 5625-5644
Open Access | Times Cited: 104

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