Deep Ordinal Regression Network for Monocular Depth Estimation

Cited by (1,004)

Items 501–600 of 1,004

1. Depth estimation from a single SEM image using pixel-wise fine-tuning with multimodal data
   Tim Houben, T. J. Huisman, Maxim Pisarenco, Fons van der Sommen, Peter H. N. de With · 2022 · Machine Vision and Applications
2. Towards Comprehensive Representation Enhancement in Semantics-Guided Self-supervised Monocular Depth Estimation
   Jingyuan Ma, Xiangyu Lei, Nan Liu, Xian Zhao, Shiliang Pu · 2022 · Lecture notes in computer science
3. Depth estimation of supervised monocular images based on semantic segmentation
   Qi Wang, Yan Piao · 2023 · Journal of Visual Communication and Image Representation
4. S4C: Self-Supervised Semantic Scene Completion With Neural Fields
   Adrian Hayler, Felix Wimbauer, Dominik Muhle, Christian Rupprecht, Daniel Cremers · 2024 · International Conference on 3D Vision (3DV)
5. Lightweight Monocular Depth Estimation Model by Joint End-to-End Filter Pruning
   Sara Elkerdawy, Hong Zhang, Nilanjan Ray · 2019 · Proceedings - International Conference on Image Processing
6. Self-Supervised Joint Learning Framework of Depth Estimation via Implicit Cues
   Jianrong Wang, Zhang, Ge, Zhenyu Wu, Xuewei Li, Li Liu · 2020 · arXiv (Cornell University)
7. EdgeSharing: Edge Assisted Real-time Localization and Object Sharing in Urban Streets
   Liu, Luyang, Gruteser, Marco · 2021 · IEEE INFOCOM 2021 - IEEE Conference on Computer Communications
8. Overtaking Mechanisms Based on Augmented Intelligence for Autonomous Driving: Data Sets, Methods, and Challenges
   Vinay Chamola, Amit Chougule, Aishwarya Sam, Amir Hussain, Fei Richard Yu · 2024 · IEEE Internet of Things Journal
9. Video Depth Estimation by Fusing Flow-to-Depth Proposals
   Jiaxin Xie, Chenyang Lei, Zhuwen Li, Li Erran Li, Qifeng Chen · 2020 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
10. DiPE: Deeper into Photometric Errors for Unsupervised Learning of Depth and Ego-motion from Monocular Videos
    Hualie Jiang, Laiyan Ding, Zhenglong Sun, Rui Huang · 2020 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
11. H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry
    Baoru Huang, Jian-Qing Zheng, Stamatia Giannarou, Daniel S. Elson · 2022 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
12. Self-Supervised Depth Estimation Leveraging Global Perception and Geometric Smoothness
    Shaocheng Jia, Xin Pei, Wei Yao, S.C. Wong · 2022 · IEEE Transactions on Intelligent Transportation Systems
13. Self-supervised Monocular Depth Estimation from Thermal Images via Adversarial Multi-spectral Adaptation
    Ukcheol Shin, Kwanyong Park, Byeong-Uk Lee, Kyunghyun Lee, In So Kweon · 2023 · IEEE Winter Conference on Applications of Computer Vision
14. SPDET: Edge-Aware Self-Supervised Panoramic Depth Estimation Transformer With Spherical Geometry
    Chuanqing Zhuang, Zhengda Lu, Yiqun Wang, Jun Xiao, Ying Wang · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
15. Attention-Based Depth Distillation with 3D-Aware Positional Encoding for Monocular 3D Object Detection
    Zizhang Wu, Yunzhe Wu, Jian Yu Pu, Xianzhi Li, Xiaoquan Wang · 2023 · Proceedings of the AAAI Conference on Artificial Intelligence
16. Trap Attention: Monocular Depth Estimation with Manual Traps
    Chao Ning, Hongping Gan · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
17. The application of deep learning in stereo matching and disparity estimation: A bibliometric review
    Cheng Wang, Xiaoxian Cui, Shijie Zhao, Konghui Guo, Yang Wang, Yaqi Song · 2023 · Expert Systems with Applications
18. G2-MonoDepth: A General Framework of Generalized Depth Inference From Monocular RGB+X Data
    Haotian Wang, Meng Yang, Nanning Zheng · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
19. Footprints and Free Space From a Single Color Image
    Jamie Watson, Michael Firman, Áron Monszpart, Gabriel Brostow · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
20. Disambiguating Monocular Depth Estimation with a Single Transient
    Mark Nishimura, David B. Lindell, Christopher A. Metzler, Gordon Wetzstein · 2020 · Lecture notes in computer science
21. Probabilistic Graph Attention Network with Conditional Kernels for Pixel-Wise Prediction
    Dan Xu, Xavier Alameda-Pineda, Wanli Ouyang, Elisa Ricci, Xiaogang Wang, Nicu Sebe · 2020 · IEEE Transactions on Pattern Analysis and Machine Intelligence
22. An effective combination of loss gradients for multi-task learning applied on instance segmentation and depth estimation
    Angelica Tiemi Mizuno Nakamura, Valdir Grassi, Denis F. Wolf · 2021 · Engineering Applications of Artificial Intelligence
23. Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR
    Ziyue Feng, Longlong Jing, Peng Yin, Yingli Tian, Bing Li · 2021 · arXiv (Cornell University)
24. Adv-Depth: Self-Supervised Monocular Depth Estimation With an Adversarial Loss
    Kunhong Li, Zhiheng Fu, Hanyun Wang, Zonghao Chen, Yulan Guo · 2021 · IEEE Signal Processing Letters
25. PLNet: Plane and Line Priors for Unsupervised Indoor Depth Estimation
    Hualie Jiang, Laiyan Ding, Junjie Hu, Rui Huang · 2021 · International Conference on 3D Vision (3DV)
26. Autonomous Detection and Deterrence of Pigeons on Buildings by Drones
    Fabrizio Schiano, Dominik Natter, Davide Zambrano, Dario Floreano · 2021 · IEEE Access
27. Billion-user Customer Lifetime Value Prediction: An Industrial-scale Solution from Kuaishou
    Kunpeng Li, Guangcui Shao, Naijun Yang, Xiao Fang, Yang Song · 2022 · ACM International Conference on Information and Knowledge Management (CIKM)
28. SC6D: Symmetry-agnostic and Correspondence-free 6D Object Pose Estimation
    Dingding Cai, Janne Heikkilä, Esa Rahtu · 2022 · International Conference on 3D Vision (3DV)
29. 3D map-guided single indoor image localization refinement
    Qing Li, Jiasong Zhu, Jun Liu, Rui Cao, Hao Fu, Jonathan M. Garibaldi, Qingquan Li, Bozhi Liu, Guoping Qiu · 2020 · ISPRS Journal of Photogrammetry and Remote Sensing
30. $$S^3$$Net: Semantic-Aware Self-supervised Depth Estimation with Monocular Videos and Synthetic Data
    Bin Cheng, Inderjot Singh Saggu, Raunak Shah, Gaurav Bansal, Dinesh Bharadia · 2020 · Lecture notes in computer science
31. A Survey on Deep Learning Architectures for Image-based Depth Reconstruction
    Hamid Laga · 2019 · arXiv (Cornell University)
32. FD3D: Exploiting Foreground Depth Map for Feature-Supervised Monocular 3D Object Detection
    Zizhang Wu, Yuanzhu Gan, Yunzhe Wu, Ruihao Wang, Xiaoquan Wang, Jian Yu Pu · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
33. NeRF-Det++: Incorporating Semantic Cues and Perspective-Aware Depth Supervision for Indoor Multi-View 3D Detection
    Chenxi Huang, Yuenan Hou, Weicai Ye, Di Huang, Xiaoshui Huang, Binbin Lin, Deng Cai · 2025 · IEEE Transactions on Image Processing
34. From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting
    Haipeng Xiong, Hao Lü, Chengxin Liu, Liang Liu, Chunhua Shen, Zhiguo Cao · 2023 · International Journal of Computer Vision
35. SUW-Learn: Joint Supervised, Unsupervised, Weakly Supervised Deep Learning for Monocular Depth Estimation
    Haoyu Ren, Aman Raj, Mostafa El‐Khamy, Jungwon Lee · 2020 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
36. Constant Velocity Constraints for Self-Supervised Monocular Depth Estimation
    Hang Zhou, David Greenwood, Sarah L. Taylor, Han Gong · 2020 · Conference on Visual Media Production
37. Self-Supervised 3D Reconstruction and Ego-Motion Estimation Via On-Board Monocular Video
    Shaocheng Jia, Xin Pei, Xiao Jing, Danya Yao · 2021 · IEEE Transactions on Intelligent Transportation Systems
38. An efficient encoder–decoder model for portrait depth estimation from single images trained on pixel-accurate synthetic data
    Faisal Khan, Shahid Hussain, Shubhajit Basak, Joseph Lemley, Peter Corcoran · 2021 · Neural Networks
39. A regional distance regression network for monocular object distance estimation
    Yufeng Zhang, Lianghui Ding, Yuxi Li, Weiyao Lin, Mingbi Zhao, Xiaoyuan Yu, Yunlong Zhan · 2021 · Journal of Visual Communication and Image Representation
40. Monocular Depth Estimation with Self-Supervised Learning for Vineyard Unmanned Agricultural Vehicle
    Xue-Zhi Cui, Quan Feng, Shu-Zhi Wang, Jianhua Zhang · 2022 · Sensors
41. Real-Time Monocular Joint Perception Network for Autonomous Driving
    Keqiang Li, Hui Xiong, Jinxin Liu, Qing Yang Xu, Jianqiang Wang · 2022 · IEEE Transactions on Intelligent Transportation Systems
42. Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking
    Longlong Jing, Ruichi Yu, Henrik Kretzschmar, Kang Li, Charles R. Qi, Hang Zhao, Alper Ayvacı, Xu Chen, Dillon Cower, Yingwei Li et al. · 2022 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
43. Learning Occlusion-aware Coarse-to-Fine Depth Map for Self-supervised Monocular Depth Estimation
    Zhengming Zhou, Qiulei Dong · 2022 · ACM International Conference on Multimedia (ACM MM)
44. Joint learning of frequency and spatial domains for dense image prediction
    Shaocheng Jia, Wei Yao · 2022 · ISPRS Journal of Photogrammetry and Remote Sensing
45. Rethinking Local and Global Feature Representation for Dense Prediction
    Mohan Chen, Zhang Li, Rui Feng, Xiangyang Xue, Jianfeng Feng · 2022 · Pattern Recognition
46. Self-Supervised Monocular Depth Estimation With Geometric Prior and Pixel-Level Sensitivity
    Jierui Liu, Zhiqiang Cao, Xilong Liu, Shuo Wang, Junzhi Yu · 2022 · IEEE Transactions on Intelligent Vehicles
47. Stereoscopic Vision Recalling Memory for Monocular 3D Object Detection
    Jung Uk Kim, Hyung-Il Kim, Yong Man Ro · 2023 · IEEE Transactions on Image Processing
48. GlocalFuse-Depth: Fusing transformers and CNNs for all-day self-supervised monocular depth estimation
    Zezheng Zhang, Ryan K. Y. Chan, Kenneth K. Y. Wong · 2023 · Neurocomputing
49. Toward Effective 3D Object Detection via Multimodal Fusion to Automatic Driving for Industrial Cyber-Physical Systems
    Honghao Gao, Yan Sun, Junsheng Xiao, Danqing Fang, Yueshen Xu, Wei Wei · 2024 · IEEE Transactions on Industrial Cyber-Physical Systems
50. Sat2Scene: 3D Urban Scene Generation from Satellite Images with Diffusion
    Zuoyue Li, Zhenqiang Li, Zhaopeng Cui, Marc Pollefeys, Martin R. Oswald · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
51. Adaptive Multiplane Image Generation from a Single Internet Picture
    Diogo Carbonera Luvizon, Gustavo Sutter P. Carvalho, Andreza Aparecida dos Santos, Jhonatas Santos de Jesus Conceição, Jose Luis Flores Campana, Luis G. L. Decker, Marcos Roberto e Souza, Hélio Pedrini, Antonio Joia Neto, Otávio A. B. Penatti · 2021 · IEEE Winter Conference on Applications of Computer Vision
52. Targeted Adversarial Perturbations for Monocular Depth Prediction
    Alex Wong, Safa Cicek, Stefano Soatto · 2020 · arXiv (Cornell University)
53. PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection
    Ming Nie, Yujing Xue, Chunwei Wang, Chaoqiang Ye, Hang Xu, Xinge Zhu, Qingqiu Huang, Michael Bi Mi, Xinchao Wang, Zhang Li · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
54. Review of monocular depth estimation methods
    Zhimin Zhang, Yongxin Zhang, Yun Li, Linli Wu · 2025 · Journal of Electronic Imaging
55. Inferring Distributions Over Depth from a Single Image
    Gengshan Yang, Peiyun Hu, Deva Ramanan · 2019 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
56. A Survey on Monocular 3D Object Detection Algorithms Based on Deep Learning
    Junhui Wu, Dong Yin, Jie Chen, Yusheng Wu, Huiping Si, Kaiyan Lin · 2020 · Journal of Physics Conference Series
57. Self-Supervised Learning of Domain Invariant Features for Depth Estimation
    Hiroyasu Akada, Shariq Farooq Bhat, Ibraheem Alhashim, Peter Wonka · 2022 · IEEE Winter Conference on Applications of Computer Vision
58. Iterative Feature Matching for Self-Supervised Indoor Depth Estimation
    Yi Wei, Hengkai Guo, Jiwen Lu, Jie Zhou · 2021 · IEEE Transactions on Circuits and Systems for Video Technology
59. We Know Where They Are Looking at From the RGB-D Camera: Gaze Following in 3D
    Zhengxi Hu, Dingye Yang, Shilei Cheng, Lei Zhou, Shichao Wu, Jingtai Liu · 2022 · IEEE Transactions on Instrumentation and Measurement
60. ChiTransformer: Towards Reliable Stereo from Cues
    Qing Fu Su, Shihao Ji · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
61. Associatively Segmenting Semantics and Estimating Height From Monocular Remote-Sensing Imagery
    Wenjie Liu, Xian Sun, Wenkai Zhang, Zhi Miao Guo, Kun Fu · 2022 · IEEE Transactions on Geoscience and Remote Sensing
62. End-to-End High-Risk Tackle Detection System for Rugby
    Naoki Nonaka, Ryo Fujihira, Monami Nishio, Hidetaka Murakami, Takuya Tajima, Mutsuo Yamada, Akira Maeda, Jun Seita · 2022 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
63. Multi-Camera Collaborative Depth Prediction via Consistent Structure Estimation
    Jialei Xu, Xianming Liu, Yuanchao Bai, Junjun Jiang, Kaixuan Wang, Xiaozhi Chen, Xiangyang Ji · 2022 · ACM International Conference on Multimedia (ACM MM)
64. BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
    Uddeshya Upadhyay, Shyamgopal Karthik, Yanbei Chen, Massimiliano Mancini, Zeynep Akata · 2022 · Lecture notes in computer science
65. EGA-Depth: Efficient Guided Attention for Self-Supervised Multi-Camera Depth Estimation
    Yunxiao Shi, Hong Cai, Amin Ansari, Fatih Porikli · 2023 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
66. PanelNet: Understanding 360 Indoor Environment via Panel Representation
    Haozheng Yu, Lu He, Bing Jian, Weiwei Feng, Shan Liu · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
67. Clip Fusion with Bi-level Optimization for Human Mesh Reconstruction from Monocular Videos
    Peng Wu, Xiankai Lu, Jianbing Shen, Yilong Yin · 2023 · ACM International Conference on Multimedia (ACM MM)
68. DaGAN++: Depth-Aware Generative Adversarial Network for Talking Head Video Generation
    Fa-Ting Hong, Li Shen, Dan Xu · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
69. Depth-Guided Vision Transformer With Normalizing Flows for Monocular 3D Object Detection
    Cong Pan, Junran Peng, Zhaoxiang Zhang · 2024 · IEEE/CAA Journal of Automatica Sinica
70. Learning to Adapt CLIP for Few-Shot Monocular Depth Estimation
    Xueting Hu, Ce Zhang, Yi Hui Zhang, Bowen Hai, Ke Yu, Zhihai He · 2024 · IEEE Winter Conference on Applications of Computer Vision
71. A two-streamed network for estimating fine-scaled depth maps from single RGB images
    Jun Li, Can Yuce, Reinhard Klein, Angela Yao · 2019 · Computer Vision and Image Understanding
72. A 3D Iris Scanner From a Single Image Using Convolutional Neural Networks
    Daniel Benalcazar, Jorge E. Zambrano, Diego Bastias, Carlos A. Perez, Kevin W. Bowyer · 2020 · IEEE Access
73. DurLAR: A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications
    Li Li, Khalid N. Ismail, Hubert P. H. Shum, Toby P. Breckon · 2021 · International Conference on 3D Vision (3DV)
74. World From Blur
    Jiayan Qiu, Xinchao Wang, Stephen J. Maybank, Dacheng Tao · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
75. DRO: Deep Recurrent Optimizer for Structure-from-Motion.
    Xiaodong Gu, Weihao Yuan, Zuozhuo Dai, Siyu Zhu, Chengzhou Tang, Ping Tan · 2021 · arXiv (Cornell University)
76. End-to-end Learning for Inter-Vehicle Distance and Relative Velocity Estimation in ADAS with a Monocular Camera
    Zhenbo Song, Jianfeng Lu, Tong Zhang, Hongdong Li · 2020 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
77. MDANet: Multi-Modal Deep Aggregation Network for Depth Completion
    Yanjie Ke, Kun Li, Wei H. Yang, Zhenbo Xu, Dayang Hao, Liusheng Huang, Gang Wang · 2021 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
78. The Farther the Better: Balanced Stereo Matching via Depth-Based Sampling and Adaptive Feature Refinement
    Hong Ri Zhang, Xinchen Ye, Shenglun Chen, Zhihui Wang, Haojie Li, Wanli Ouyang · 2021 · IEEE Transactions on Circuits and Systems for Video Technology
79. Exploring the Parametric Impact on a Deep Learning Model and proposal of a 2-Branch CNN for Diabetic Retinopathy Classification with Case Study in IoT-Blockchain based Smart Healthcare System
    Manaswini Jena, Debahuti Mishra, Smita Prava Mishra, Pradeep Kumar Mallick, Sachin Kumar · 2022 · Informatica
80. Boosting Monocular 3D Object Detection With Object-Centric Auxiliary Depth Supervision
    Young-Seok Kim, Sanmin Kim, Sangmin Sim, Jun Won Choi, Dongsuk Kum · 2022 · IEEE Transactions on Intelligent Transportation Systems
81. Multi-view LiDAR Guided Monocular 3D Object Detection
    Junjie Liu, Weiyu Yu · 2022 · Lecture notes in computer science
82. Monocular depth estimation using self-supervised learning with more effective geometric constraints
    Mingkang Xiong, Zhenghong Zhang, Jiyuan Liu, Tao Zhang, Huilin Xiong · 2023 · Engineering Applications of Artificial Intelligence
83. Bridging the Domain Gap between Synthetic and Real-World Data for Autonomous Driving
    Xiangyu Bai, Yedi Luo, Le Jiang, Aniket Gupta, Pushyami Kaveti, Hanumant Singh, Sarah Ostadabbas · 2023 · ACM Journal on Autonomous Transportation Systems
84. Towards Robust Monocular Depth Estimation: A New Baseline and Benchmark
    Ke Xian, Zhiguo Cao, Chunhua Shen, Guosheng Lin · 2024 · International Journal of Computer Vision
85. PolyMaX: General Dense Prediction with Mask Transformer
    Xuan Yang, Liangzhe Yuan, Michael J. Wilber, Astuti Sharma, Xiuye Gu, Siyuan Qiao, Stephanie R. Debats, Huisheng Wang, Hartwig Adam, Mikhail Sirotenko et al. · 2024 · IEEE Winter Conference on Applications of Computer Vision
86. The Third Monocular Depth Estimation Challenge
    Jaime Spencer, Fabio Tosi, Matteo Poggi, Ripudaman Singh Arora, Chris Russell, Simon Hadfield, Richard Bowden, Guangyuan Zhou, ZhengXin Li, Qiang Rao et al. · 2024 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
87. GAPLE: Generalizable Approaching Policy LEarning for Robotic Object Searching in Indoor Environment
    Xin Ye, Zhe Lin, Joon‐Young Lee, Jianming Zhang, Shibin Zheng, Yezhou Yang · 2019 · IEEE Robotics and Automation Letters
88. Monocular Depth Estimation with Adaptive Geometric Attention
    Taher Naderi, Amir Sadovnik, Jason P. Hayward, Hairong Qi · 2022 · IEEE Winter Conference on Applications of Computer Vision
89. Monocular Depth Estimation with Self-supervised Instance Adaptation
    Robert McCraith, Lukáš Neumann, Andrew Zisserman, Andrea Vedaldi · 2020 · arXiv (Cornell University)
90. QuadroNet: Multi-Task Learning for Real-Time Semantic Depth Aware Instance Segmentation
    Kratarth Goel, Praveen Srinivasan, Sarah Tariq, James F. Philbin · 2021 · IEEE Winter Conference on Applications of Computer Vision
91. Single View Geocentric Pose in the Wild
    Gordon A. Christie, Kevin Foster, Shea Hagstrom, Gregory D. Hager, Myron Brown · 2021 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
92. Ordinal regression with explainable distance metric learning based on ordered sequences
    Juan Luis Suárez, Salvador García, Francisco Herrera · 2021 · Machine Learning
93. Boundary-aware Image Inpainting with Multiple Auxiliary Cues
    Yohei Yamashita, Kodai Shimosato, Norimichi Ukita · 2022 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
94. Deep learning of monocular depth, optical flow and ego-motion with geometric guidance for UAV navigation in dynamic environments
    Fuseini Mumuni, Alhassan Mumuni, Christian Kwaku Amuzuvi · 2022 · Machine Learning with Applications
95. JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes
    Haimei Zhao, Jing Zhang, Sen Zhang, Dacheng Tao · 2022 · Lecture notes in computer science
96. CroMo: Cross-Modal Learning for Monocular Depth Estimation
    Yannick Verdié, Jifei Song, Barnabe Mas, Benjamin Busam, Aleš Leonardis, Steven McDonagh · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
97. MG-MVSNet: Multiple granularities feature fusion network for multi-view stereo
    Xuedian Zhang, Fanzhou Yang, Min Chang, Xiaofei Qin · 2023 · Neurocomputing
98. An Efficient Approach to Monocular Depth Estimation for Autonomous Vehicle Perception Systems
    Mehrnaz Farokhnejad Afshar, Zahra Shirmohammadi, S. AmirAli Gh. Ghahramani, Azadeh Noorparvar, Ali Mohammad Afshin Hemmatyar · 2023 · Sustainability
99. LightDepth: Single-View Depth Self-Supervision from Illumination Decline
    Javier Rodríguez-Puigvert, Víctor M. Batlle, J. M. M. Montiel, Rubén Martínez-Cantín, Pascal Fua, Juan D. Tardós, Javier Civera · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
100. Real-Time Free Viewpoint Video Synthesis System Based on DIBR and a Depth Estimation Network
     Shuai Guo, Jingchuan Hu, Kai Zhou, Jionghao Wang, Li Song, Rong Xie, Wenjun Zhang · 2024 · IEEE Transactions on Multimedia