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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:

Enforcing Geometric Constraints of Virtual Normal for Depth Prediction
Wei Yin, Yifan Liu, Chunhua Shen, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019), pp. 5683-5692
Open Access | Times Cited: 432

Showing 1-25 of 432 citing articles:

FCOS: Fully Convolutional One-Stage Object Detection
Zhi Tian, Chunhua Shen, Hao Chen, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019)
Open Access | Times Cited: 4920
Vision Transformers for Dense Prediction
René Ranftl, Alexey Bochkovskiy, Vladlen Koltun
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 1159
Conditional Convolutions for Instance Segmentation
Zhi Tian, Chunhua Shen, Hao Chen
Lecture notes in computer science (2020), pp. 282-298
Open Access | Times Cited: 572
FCOS: A Simple and Strong Anchor-free Object Detector
Zhi Tian, Chunhua Shen, Hao Chen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2020), pp. 1-1
Open Access | Times Cited: 522
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
Jin Han Lee, Myung Kyu Han, Dong Wook Ko, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 458
AdaBins: Depth Estimation Using Adaptive Bins
Shariq Farooq Bhat, Ibraheem Alhashim, Peter Wonka
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 4008-4017
Open Access | Times Cited: 385
Context Prior for Scene Segmentation
Changqian Yu, Jingbo Wang, Changxin Gao, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
Open Access | Times Cited: 280
FCOS: Fully Convolutional One-Stage Object Detection
Zhi Tian, Chunhua Shen, Hao Chen, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 227
Neural Window Fully-connected CRFs for Monocular Depth Estimation
Weihao Yuan, Xiaodong Gu, Zuozhuo Dai, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 3906-3915
Closed Access | Times Cited: 175
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Lihe Yang, Bingyi Kang, Zilong Huang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 10371-10381
Closed Access | Times Cited: 163
Structure-Guided Ranking Loss for Single Image Depth Prediction
Ke Xian, Jianming Zhang, Oliver Wang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
Closed Access | Times Cited: 162
Learning to Recover 3D Scene Shape from a Single Image
Wei Yin, Jianming Zhang, Oliver Wang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 144
Unsupervised Scale-Consistent Depth Learning from Video
Jia-Wang Bian, Huangying Zhan, Naiyan Wang, et al.
International Journal of Computer Vision (2021) Vol. 129, Iss. 9, pp. 2548-2564
Open Access | Times Cited: 141
Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging
S. Mahdi H. Miangoleh, Sebastian Dille, Long Mai, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 9680-9689
Open Access | Times Cited: 138
Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction
Guanglei Yang, Hao Tang, Mingli Ding, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 135
Ground-Aware Monocular 3D Object Detection for Autonomous Driving
Yuxuan Liu, Yixuan Yuan, Ming Liu
IEEE Robotics and Automation Letters (2021) Vol. 6, Iss. 2, pp. 919-926
Open Access | Times Cited: 126
DepthFormer: Exploiting Long-range Correlation and Local Information for Accurate Monocular Depth Estimation
Zhenyu Li, Zehui Chen, Xianming Liu, et al.
Deleted Journal (2023) Vol. 20, Iss. 6, pp. 837-854
Open Access | Times Cited: 126
ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic Segmentation
Siyuan Qiao, Yukun Zhu, Hartwig Adam, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 110
Deep Dense Multi-Scale Network for Snow Removal Using Semantic and Depth Priors
Kaihao Zhang, Rongqing Li, Yanjiang Yu, et al.
IEEE Transactions on Image Processing (2021) Vol. 30, pp. 7419-7431
Open Access | Times Cited: 105
Neural 3D Scene Reconstruction with the Manhattan-world Assumption
Haoyu Guo, Sida Peng, Haotong Lin, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 101
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior
Vaishakh Patil, Christos Sakaridis, Alexander Liniger, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 1600-1611
Open Access | Times Cited: 93
Attention Attention Everywhere: Monocular Depth Prediction with Skip Attention
Ashutosh Agarwal, Chetan Arora
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023), pp. 5850-5859
Open Access | Times Cited: 88
Towards Real-Time Monocular Depth Estimation for Robotics: A Survey
Xingshuai Dong, Matthew Garratt, Sreenatha G. Anavatti, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 10, pp. 16940-16961
Open Access | Times Cited: 76
iDisc: Internal Discretization for Monocular Depth Estimation
Luigi Piccinelli, Christos Sakaridis, Fisher Yu
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 48
DDP: Diffusion Model for Dense Visual Prediction
Yuanfeng Ji, Zhe Chen, Enze Xie, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 21684-21695
Open Access | Times Cited: 48
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