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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:

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

Showing 26-50 of 175 citing articles:

Stereoscopic image super-resolution with interactive memory learning
Xiangyuan Zhu, Kehua Guo, Tian Qiu, et al.
Expert Systems with Applications (2023) Vol. 227, pp. 120143-120143
Open Access | Times Cited: 12
MV-Map: Offboard HD Map Generation with Multi-view Consistency
Ziyang Xie, Ziqi Pang, Yu-Xiong Wang
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023)
Open Access | Times Cited: 12
GEDepth: Ground Embedding for Monocular Depth Estimation
Xiaodong Yang, Zhuang Ma, Zhiyu Ji, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023)
Open Access | Times Cited: 11
UniMod1K: Towards a More Universal Large-Scale Dataset and Benchmark for Multi-modal Learning
Xuefeng Zhu, Tianyang Xu, Zongtao Liu, et al.
International Journal of Computer Vision (2024) Vol. 132, Iss. 8, pp. 2845-2860
Closed Access | Times Cited: 4
IINet: Implicit Intra-inter Information Fusion for Real-Time Stereo Matching
Ximeng Li, Chen Zhang, Wanjuan Su, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 4, pp. 3225-3233
Open Access | Times Cited: 4
Breaking New Ground in Monocular Depth Estimation with Dynamic Iterative Refinement and Scale Consistency
Akmalbek Abdusalomov, Sabina Umirzakova, Makhkamov Bakhtiyor Shukhratovich, et al.
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 674-674
Open Access
Integrating convolutional guidance and Transformer fusion with Markov Random Fields smoothing for monocular depth estimation
Xiaorui Peng, Yu Meng, Boqiang Shi, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 110011-110011
Closed Access
CD-UDepth: Complementary dual-source information fusion for underwater monocular depth estimation
Jiawei Guo, Jieming Ma, Feiyang Sun, et al.
Information Fusion (2025), pp. 102961-102961
Closed Access
A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation
Steven Landgraf, Rongjun Qin, Markus Ulrich
(2025)
Open Access
DustNet++: Deep Learning-Based Visual Regression for Dust Density Estimation
Andreas Michel, Martin Weinmann, Jannick Kuester, et al.
International Journal of Computer Vision (2025)
Open Access
Self-supervised monocular depth estimation with large kernel attention and dynamic scene perception
Xuezhi Xiang, Yao Wang, Xiaoheng Li, et al.
Journal of Visual Communication and Image Representation (2025), pp. 104413-104413
Closed Access
Self-supervised monocular depth learning from unknown cameras: Leveraging the power of raw data
Xiaofei Qin, Yongchao Zhu, Lin Wang, et al.
Image and Vision Computing (2025), pp. 105505-105505
Closed Access
Monocular depth estimation via a detail semantic collaborative network for indoor scenes
Wen Song, Xu Cui, Yakun Xie, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Learning-Based 3D Reconstruction Methods for Non-Collaborative Surfaces—A Metrological Evaluation
Ziyang Yan, Nazanin Padkan, Paweł Trybała, et al.
Metrology (2025) Vol. 5, Iss. 2, pp. 20-20
Open Access
Multi-stream information complementarity network for RGB-D camouflaged object detection
Chingwen Ying, Zhiping Zhou, Kewei Li, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 5
Closed Access
A simple monocular depth estimation network for balancing complexity and accuracy
Xuanxuan Liu, Shuai Tang, M. Feng, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Out-of-distribution monocular depth estimation with local invariant regression
Yeqi Hu, Yuan Rao, Hui Yu, et al.
Knowledge-Based Systems (2025), pp. 113518-113518
Closed Access
High-resolution synthetic aperture imaging method and benchmark based on event-frame fusion
Siqi Li, Yipeng Li, Yu-Shen Liu, et al.
Information Fusion (2025), pp. 103211-103211
Closed Access
Unsupervised Monocular Depth Estimation for Foggy Images with Domain Separation and Self-Depth Domain Conversion
Fuyang Liu, Jianjun Li
Lecture notes in computer science (2025), pp. 406-426
Closed Access
EGA-Depth: Efficient Guided Attention for Self-Supervised Multi-Camera Depth Estimation
Yunxiao Shi, Hong Cai, Amin Ansari, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2023), pp. 119-129
Open Access | Times Cited: 10
Neural Video Depth Stabilizer
Yiran Wang, Min Shi, Jiaqi Li, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 9432-9442
Open Access | Times Cited: 9
CAMOT: Camera Angle-aware Multi-Object Tracking
Felix Limanta, Kuniaki Uto, Koichi Shinoda
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024)
Closed Access | Times Cited: 3
F2Depth: Self-supervised indoor monocular depth estimation via optical flow consistency and feature map synthesis
Xiaotong Guo, Huijie Zhao, Shuwei Shao, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108391-108391
Closed Access | Times Cited: 3
GAM-Depth: Self-Supervised Indoor Depth Estimation Leveraging a Gradient-Aware Mask and Semantic Constraints
Anqi Cheng, Zhiyuan Yang, Haiyue Zhu, et al.
(2024), pp. 5367-5374
Open Access | Times Cited: 3
CATNet: Convolutional attention and transformer for monocular depth estimation
Shuai Tang, Tongwei Lu, Xuanxuan Liu, et al.
Pattern Recognition (2023) Vol. 145, pp. 109982-109982
Closed Access | Times Cited: 8

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