Open Access Helper

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:

Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular Depth
Ziyue Feng, Liang Yang, Longlong Jing, et al.
Lecture notes in computer science (2022), pp. 228-244
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

TransFlow: Transformer as Flow Learner
Yawen Lu, Qifan Wang, Siqi Ma, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 18063-18073
Open Access | Times Cited: 58
SC-DepthV3: Robust Self-Supervised Monocular Depth Estimation for Dynamic Scenes
Libo Sun, Jia-Wang Bian, Huangying Zhan, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 46, Iss. 1, pp. 497-508
Open Access | Times Cited: 31
SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth Estimation
Youhong Wang, Yunji Liang, Hao Xu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 6, pp. 5713-5721
Open Access | Times Cited: 15
Learning to Fuse Monocular and Multi-view Cues for Multi-frame Depth Estimation in Dynamic Scenes
Rui Li, Dong Gong, Wei Yin, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 16
Self-Supervised Monocular Depth Estimation with Dual-Path Encoders and Offset Field Interpolation
Cheng Feng, Congxuan Zhang, Zhen Chen, et al.
IEEE Transactions on Image Processing (2025) Vol. 34, pp. 939-954
Closed Access
IFDepth: Iterative fusion network for multi-frame self-supervised monocular depth estimation
Wang Lizhe, Qi Liang, Yu Che, et al.
Knowledge-Based Systems (2025), pp. 113467-113467
Closed Access
SIE-DepthNet: Semantic-Guided Monocular Depth Estimation for Dynamic Environment
Zilong Song, Yang Gao, Sijia Dai, et al.
Lecture notes in computer science (2025), pp. 195-210
Closed Access
Crafting Monocular Cues and Velocity Guidance for Self-Supervised Multi-Frame Depth Learning
Xiaofeng Wang, Zheng Zhu, Guan Huang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 3, pp. 2689-2697
Open Access | Times Cited: 9
CVRecon: Rethinking 3D Geometric Feature Learning For Neural Reconstruction
Ziyue Feng, Liang Yang, Pengsheng Guo, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 17704-17714
Open Access | Times Cited: 9
IterDepth: Iterative Residual Refinement for Outdoor Self-Supervised Multi-Frame Monocular Depth Estimation
Cheng Feng, Zhen Chen, Congxuan Zhang, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2023) Vol. 34, Iss. 1, pp. 329-341
Closed Access | Times Cited: 8
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume
Xingyu Miao, Yang Bai, Haoran Duan, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2023) Vol. 34, Iss. 4, pp. 2564-2576
Open Access | Times Cited: 7
PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation
Yue-Jiang Dong, Yuan-Chen Guo, Ying-Tian Liu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 2, pp. 1609-1617
Open Access | Times Cited: 2
Self-Supervised Monocular Depth Estimation With Positional Shift Depth Variance and Adaptive Disparity Quantization
Juan Luis Gonzalez Bello, Jae-Ho Moon, Munchurl Kim
IEEE Transactions on Image Processing (2024) Vol. 33, pp. 2074-2089
Closed Access | Times Cited: 2
Mono-ViFI: A Unified Learning Framework for Self-supervised Single and Multi-frame Monocular Depth Estimation
Jinfeng Liu, Lingtong Kong, Bo Li, et al.
Lecture notes in computer science (2024), pp. 90-107
Closed Access | Times Cited: 2
Self-Supervised Monocular Depth Estimation Based on High-Order Spatial Interactions
Xiuling Wang, Minglin Yu, Haixia Wang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 4, pp. 4978-4991
Closed Access | Times Cited: 1
GSDC Transformer: An Efficient and Effective Cue Fusion for Monocular Multi-Frame Depth Estimation
Naiyu Fang, Lemiao Qiu, Shuyou Zhang, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 3, pp. 2256-2263
Open Access | Times Cited: 1
MAL: Motion-Aware Loss with Temporal and Distillation Hints for Self-Supervised Depth Estimation
Yue-Jiang Dong, Fang‐Lue Zhang, Song–Hai Zhang
(2024), pp. 7318-7324
Open Access | Times Cited: 1
NARUTO: Neural Active Reconstruction from Uncertain Target Observations
Ziyue Feng, Huangying Zhan, Zheng Chen, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 32, pp. 21572-21583
Closed Access | Times Cited: 1
High-Precision Self-supervised Monocular Depth Estimation with Rich-Resource Prior
Wencheng Han, Jianbing Shen
Lecture notes in computer science (2024), pp. 146-162
Closed Access | Times Cited: 1
Self-Supervised Multi-Frame Monocular Depth Estimation for Dynamic Scenes
Guanghui Wu, Hao Liu, Longguang Wang, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2023) Vol. 34, Iss. 6, pp. 4989-5001
Closed Access | Times Cited: 3
Exploring the Mutual Influence Between Self-Supervised Single-Frame and Multi-Frame Depth Estimation
Jie Xiang, Yun Wang, Lifeng An, et al.
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 10, pp. 6547-6554
Open Access | Times Cited: 2
DNA-Depth: A Frequency-Based Day-Night Adaptation for Monocular Depth Estimation
M. Shen, Z. Wang, Shuai Su, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 2
Rfdepth: A Self-Supervised Monocular Depth Estimation Method Driven by Explicit Robust Feature
Chu Wu, Xu Li, Dong Kong, et al.
(2024)
Closed Access
Enhancing Self-Supervised Monocular Depth Estimation via Piece-Wise Pose Estimation and Geometric Constraints
Pranjay Shyam, A. Okon, Hyunjin Yoo
(2024), pp. 221-231
Closed Access
Complete contextual information extraction for self-supervised monocular depth estimation
Dazheng Zhou, Mingliang Zhang, Xianjie Gao, et al.
Computer Vision and Image Understanding (2024) Vol. 245, pp. 104032-104032
Closed Access
Page 1 - Next Page

Scroll to top