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:

Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation
Lukas Hoyer, Dengxin Dai, Qin Wang, et al.
International Journal of Computer Vision (2023) Vol. 131, Iss. 8, pp. 2070-2096
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
Lukas Hoyer, Dengxin Dai, Luc Van Gool
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 9914-9925
Open Access | Times Cited: 361

MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
Lukas Hoyer, Dengxin Dai, Haoran Wang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 11721-11732
Open Access | Times Cited: 148

Enhancing federated averaging of self-supervised monocular depth estimators for autonomous vehicles with Bayesian optimization
Elton Soares, Emílio Vital Brazil, Carlos Alberto V. Campos
Future Generation Computer Systems (2025), pp. 107752-107752
Closed Access

Domain Adaptation for Semantic Segmentation of Cataract Surgical Images Based on Masked Image Consistency
Yuzhu Zhang, Yijie Pan, Mingyang Ou, et al.
Communications in computer and information science (2025), pp. 243-254
Closed Access

Layer-wise model merging for unsupervised domain adaptation in segmentation tasks
Roberto Alcover‐Couso, Juan C. SanMiguel, Marcos Escudero-Viñolo, et al.
The Visual Computer (2025)
Open Access

A Lithology Recognition Network Based on Attention and Feature Brownian Distance Covariance
Dake Zheng, Shudong Liu, Yidan Chen, et al.
Applied Sciences (2024) Vol. 14, Iss. 4, pp. 1501-1501
Open Access | Times Cited: 3

RadarCam-Depth: Radar-Camera Fusion for Depth Estimation with Learned Metric Scale
Han Li, Yukai Ma, Yaqing Gu, et al.
(2024), pp. 10665-10672
Open Access | Times Cited: 3

Style Blind Domain Generalized Semantic Segmentation via Covariance Alignment and Semantic Consistence Contrastive Learning
Woo Jin Ahn, Geun-Yeong Yang, Hyun Duck Choi, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 33, pp. 3616-3626
Closed Access | Times Cited: 3

Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey
Oriane Siméoni, Éloi Zablocki, Spyros Gidaris, et al.
International Journal of Computer Vision (2024)
Closed Access | Times Cited: 2

Domain generalization for semantic segmentation: a survey
Taki Hasan Rafi, Ratul Mahjabin, E. Ghosh, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 2

SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance
Lukas Hoyer, David Joseph Tan, Muhammad Ferjad Naeem, et al.
Lecture notes in computer science (2024), pp. 257-275
Closed Access | Times Cited: 2

EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation
Suman Saha, Lukas Hoyer, Anton Obukhov, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 19177-19188
Open Access | Times Cited: 5

Synthetic Data Enhancement and Network Compression Technology of Monocular Depth Estimation for Real-Time Autonomous Driving System
Woomin Jun, Ji‐Sang Yoo, Sungjin Lee
Sensors (2024) Vol. 24, Iss. 13, pp. 4205-4205
Open Access | Times Cited: 1

MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation
Linyan Yang, Lukas Hoyer, Mark Weber, et al.
Lecture notes in computer science (2024), pp. 329-346
Closed Access | Times Cited: 1

2D human skeleton action recognition with spatial constraints
L. P. Wang, Jianwei Zhang, Wenbing Yang, et al.
IET Computer Vision (2024) Vol. 18, Iss. 7, pp. 968-981
Open Access

Deep unsupervised shadow detection with curriculum learning and self-training
Qiang Zhang, Hongyuan Guo, Guanghe Li, et al.
Computer Vision and Image Understanding (2024) Vol. 248, pp. 104124-104124
Closed Access

Domain adaptation method for extracting buildings from remote sensing images using dual contrastive learning
Chunxiu He, Xianwen Jing
Journal of Applied Remote Sensing (2024) Vol. 18, Iss. 03
Closed Access

PPLM-Net: Partial Patch Local Masking Net for Remote Sensing Image Unsupervised Domain Adaptation Classification
Junsong Leng, Zhong Chen, Haodong Mu, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 17021-17035
Open Access

Improved Road Extraction Models through Semi-Supervised Learning with ACCT
Hao Yu, Shihong Du, Zhenshan Tan, et al.
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 10, pp. 347-347
Open Access

Intricate Object Detection in Self Driving Environments with Edge-Adaptive Depth Estimation(EADE)
SuBi Kim, Jieun Kang, Yong-Ik Yoon
(2024) Vol. 91, pp. 3837-3841
Closed Access

Cross-Domain Semantic Segmentation on Inconsistent Taxonomy Using VLMs
Jeongkee Lim, Yusung Kim
Lecture notes in computer science (2024), pp. 18-35
Closed Access

Training-Free Model Merging for Multi-target Domain Adaptation
Wenyi Li, Huan-ang Gao, Mingju Gao, et al.
Lecture notes in computer science (2024), pp. 419-438
Closed Access

Domain adaptive segmentation method for mechanical assembly based on iterative loops
Jinlei Wang, Chengjun Chen, Chenggang Dai
Applied Intelligence (2024) Vol. 55, Iss. 1
Closed Access

Multi-Source Domain Alignment for Domain Invariant Segmentation in Unknown Targets
Pranjay Shyam, Kuk‐Jin Yoon, Kyung-Soo Kim
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2022), pp. 309-316
Closed Access | Times Cited: 1

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