OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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

Showing 1-25 of 681 citing articles:

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

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

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

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

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

Prompting Visual-Language Models for Efficient Video Understanding
Chen Ju, Tengda Han, Kunhao Zheng, et al.
Lecture notes in computer science (2022), pp. 105-124
Closed Access | Times Cited: 194

MedCLIP: Contrastive Learning from Unpaired Medical Images and Text
Zifeng Wang, Zhenbang Wu, D. C. Agarwal, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 192

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

Prompt-aligned Gradient for Prompt Tuning
Beier Zhu, Yulei Niu, Yucheng Han, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 15613-15623
Open Access | Times Cited: 91

Large-scale Multi-modal Pre-trained Models: A Comprehensive Survey
Xiao Wang, Guangyao Chen, Guangwu Qian, et al.
Deleted Journal (2023) Vol. 20, Iss. 4, pp. 447-482
Open Access | Times Cited: 89

Prompt, Generate, Then Cache: Cascade of Foundation Models Makes Strong Few-Shot Learners
Renrui Zhang, Xiangfei Hu, Bohao Li, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 15211-15222
Open Access | Times Cited: 79

RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning
Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 78

Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang, Kaiyang Zhou, Yixuan Li, et al.
International Journal of Computer Vision (2024) Vol. 132, Iss. 12, pp. 5635-5662
Closed Access | Times Cited: 72

Fine-tuned CLIP Models are Efficient Video Learners
Hanoona Rasheed, Muhammad Uzair Khattak, Muhammad Maaz, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 70

CLIP-ReID: Exploiting Vision-Language Model for Image Re-identification without Concrete Text Labels
Siyuan Li, Sun Li, Qingli Li
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 1, pp. 1405-1413
Open Access | Times Cited: 66

PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning
Xiangyang Zhu, Renrui Zhang, Bowei He, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 2639-2650
Open Access | Times Cited: 65

Visual-Language Prompt Tuning with Knowledge-Guided Context Optimization
Hantao Yao, Rui Zhang, Changsheng Xu
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 64

Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification
Yue Yang, Artemis Panagopoulou, Shenghao Zhou, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 62

Transformer-Based Visual Segmentation: A Survey
Xiangtai Li, Henghui Ding, Haobo Yuan, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 12, pp. 10138-10163
Open Access | Times Cited: 61

CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not
Aneeshan Sain, Ayan Kumar Bhunia, Pinaki Nath Chowdhury, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 55

Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models
Zhiqiu Lin, Samuel Yu, Zhiyi Kuang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 55

Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation
Yulu Gan, Yan Bai, Yihang Lou, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 6, pp. 7595-7603
Open Access | Times Cited: 46

Turning a CLIP Model into a Scene Text Detector
Wenwen Yu, Yuliang Liu, Wei Hua, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 6978-6988
Open Access | Times Cited: 44

MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentation
Cheng Chen, Juzheng Miao, Dufan Wu, et al.
Medical Image Analysis (2024) Vol. 98, pp. 103310-103310
Open Access | Times Cited: 37

Page 1 - Next Page

Scroll to top