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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:

The sketchy database
Patsorn Sangkloy, Nathan Burnell, Cusuh Ham, et al.
ACM Transactions on Graphics (2016) Vol. 35, Iss. 4, pp. 1-12
Open Access | Times Cited: 597

Showing 1-25 of 597 citing articles:

Deeper, Broader and Artier Domain Generalization
Da Li, Yongxin Yang, Yi-Zhe Song, et al.
(2017)
Open Access | Times Cited: 1079
Scribbler: Controlling Deep Image Synthesis with Sketch and Color
Patsorn Sangkloy, Jingwan Lu, Fang Chen, et al.
(2017), pp. 6836-6845
Open Access | Times Cited: 533
SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis
Wengling Chen, James Hays
(2018), pp. 9416-9425
Open Access | Times Cited: 328
Composing Text and Image for Image Retrieval - an Empirical Odyssey
Nam Vo, Lu Jiang, Chen Sun, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), pp. 6432-6441
Open Access | Times Cited: 305
Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval
Li Liu, Fumin Shen, Yuming Shen, et al.
(2017)
Open Access | Times Cited: 262
Localizing and Orienting Street Views Using Overhead Imagery
Nam Vo, James Hays
Lecture notes in computer science (2016), pp. 494-509
Closed Access | Times Cited: 245
Fine-Grained Image Analysis With Deep Learning: A Survey
Xiu-Shen Wei, Yi-Zhe Song, Oisin Mac Aodha, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) Vol. 44, Iss. 12, pp. 8927-8948
Open Access | Times Cited: 242
A survey on deep multimodal learning for computer vision: advances, trends, applications, and datasets
Khaled Bayoudh, Raja Knani, Fayçal Hamdaoui, et al.
The Visual Computer (2021) Vol. 38, Iss. 8, pp. 2939-2970
Open Access | Times Cited: 238
Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based Image Retrieval
Jifei Song, Qian Yu, Yi-Zhe Song, et al.
(2017)
Open Access | Times Cited: 237
Learning Robust Global Representations by Penalizing Local Predictive Power
Haohan Wang, Songwei Ge, Eric P. Xing, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 237
A Zero-Shot Framework for Sketch Based Image Retrieval
Sasi Kiran Yelamarthi, Shiva Krishna Reddy, Ashish Mishra, et al.
Lecture notes in computer science (2018), pp. 316-333
Closed Access | Times Cited: 180
Learning by Aligning: Visible-Infrared Person Re-identification using Cross-Modal Correspondences
Hyunjong Park, Sanghoon Lee, Junghyup Lee, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 168
Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-Based Image Retrieval
Anjan Dutta, Zeynep Akata
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), pp. 5084-5093
Open Access | Times Cited: 152
Deep Learning for Free-Hand Sketch: A Survey
Peng Xu, Timothy M. Hospedales, Qiyue Yin, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 1, pp. 285-312
Open Access | Times Cited: 103
CLIPasso
Yael Vinker, Ehsan Pajouheshgar, Jessica Y. Bo, et al.
ACM Transactions on Graphics (2022) Vol. 41, Iss. 4, pp. 1-11
Closed Access | Times Cited: 99
Sketch-Guided Text-to-Image Diffusion Models
Andrey Voynov, Kfir Aberman, Daniel Cohen‐Or
(2023), pp. 1-11
Open Access | Times Cited: 89
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: 59
Zero-Shot Sketch-Image Hashing
Yuming Shen, Li Liu, Fumin Shen, et al.
(2018), pp. 3598-3607
Open Access | Times Cited: 154
Image Generation from Sketch Constraint Using Contextual GAN
Yongyi Lu, Shangzhe Wu, Yu‐Wing Tai, et al.
Lecture notes in computer science (2018), pp. 213-228
Closed Access | Times Cited: 149
Everything You Wanted to Know about Deep Learning for Computer Vision but Were Afraid to Ask
Moacir Antonelli Ponti, Leonardo Sampaio Ferraz Ribeiro, Tiago S. Nazaré, et al.
(2017), pp. 17-41
Closed Access | Times Cited: 141
Enhancing Sketch-Based Image Retrieval by CNN Semantic Re-ranking
Luo Wang, Xueming Qian, Yuting Zhang, et al.
IEEE Transactions on Cybernetics (2019) Vol. 50, Iss. 7, pp. 3330-3342
Closed Access | Times Cited: 128
SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval
Peng Xu, Yongye Huang, Tongtong Yuan, et al.
(2018), pp. 8090-8098
Open Access | Times Cited: 126
3D Sketching using Multi-View Deep Volumetric Prediction
Johanna Delanoy, Mathieu Aubry, Phillip Isola, et al.
Proceedings of the ACM on Computer Graphics and Interactive Techniques (2018) Vol. 1, Iss. 1, pp. 1-22
Open Access | Times Cited: 120
Revisiting IM2GPS in the Deep Learning Era
Nam Vo, Nathan Jacobs, James Hays
(2017)
Open Access | Times Cited: 118
SketchyCOCO: Image Generation From Freehand Scene Sketches
Chengying Gao, Qi Liu, Qi Xu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 5173-5182
Open Access | Times Cited: 114
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