Deep Ordinal Regression Network for Monocular Depth Estimation

Fu, Huan, Gong, Mingming, Wang, Chaohui, Batmanghelich, Kayhan, Tao, Dacheng·2018·2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Cited by (1,003)

Items 201–300 of 1,003

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    Zheyuan Xu, Hongche Yin, Jian Yao · 2020 · Proceedings - International Conference on Image Processing
  2. SOSD-Net: Joint semantic object segmentation and depth estimation from monocular images
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  3. RNNSLAM: Reconstructing the 3D colon to visualize missing regions during a colonoscopy
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  4. Unsupervised High-Resolution Depth Learning From Videos With Dual Networks
    Junsheng Zhou, Yuwang Wang, Kaihuai Qin, Wenjun Zeng · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
  5. Depth from Defocus with Learned Optics for Imaging and Occlusion-aware Depth Estimation
    Hayato Ikoma, Cindy M. Nguyen, Christopher A. Metzler, Yifan Peng, Gordon Wetzstein · 2021 · IEEE International Conference on Computational Photography (ICCP)
  6. Bidirectional Attention Network for Monocular Depth Estimation
    Shubhra Aich, Jean Marie Uwabeza Vianney, Md Amirul Islam, Mannat Kaur Bingbing Liu · 2021 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  7. Predicting Sharp and Accurate Occlusion Boundaries in Monocular Depth Estimation Using Displacement Fields
    Michaël Ramamonjisoa, Yuming Du, Vincent Lepetit · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  8. GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal Estimation
    Xiaojuan Qi, Zhengzhe Liu, Renjie Liao, Philip H. S. Torr, Raquel Urtasun, Jiaya Jia · 2020 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  9. Deep Depth Estimation from Thermal Image
    Ukcheol Shin, Jinsun Park, In So Kweon · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  10. Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
    Sili Chen, Hengkai Guo, Shengnan Zhu, Feihu Zhang, Zilong Huang, Jiashi Feng, Bingyi Kang · 2025 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  11. Semi-Supervised Monocular Depth Estimation with Left-Right Consistency Using Deep Neural Network
    Ali Amiri, Shing Yan Loo, Hong Zhang · 2019 · IEEE International Conference on Robotics and Biomimetics (ROBIO)
  12. Pseudo RGB-D for Self-improving Monocular SLAM and Depth Prediction
    Lokender Tiwari, Pan Ji, Quoc-Huy Tran, Bingbing Zhuang, Saket Anand, Manmohan Krishna Chandraker · 2020 · Lecture notes in computer science
  13. P$$^{2}$$Net: Patch-Match and Plane-Regularization for Unsupervised Indoor Depth Estimation
    Zehao Yu, Lei Jin, Shenghua Gao · 2020 · Lecture notes in computer science
  14. Patch-Wise Attention Network for Monocular Depth Estimation
    Sihaeng Lee, Janghyeon Lee, Byungju Kim, Eojindl Yi, Junmo Kim · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
  15. CLIFFNet for Monocular Depth Estimation with Hierarchical Embedding Loss
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  16. CAMRL: A Joint Method of Channel Attention and Multidimensional Regression Loss for 3D Object Detection in Automated Vehicles
    Honghao Gao, Danqing Fang, Junsheng Xiao, Walayat Hussain, Jungyoon Kim · 2022 · IEEE Transactions on Intelligent Transportation Systems
  17. Towards Good Practice for CNN-Based Monocular Depth Estimation
    Zhicheng Fang, Xiaoran Chen, Yuhua Chen, Luc Van Gool · 2020 · IEEE Winter Conference on Applications of Computer Vision
  18. Weakly Supervised 3D Object Detection from Point Clouds
    Zengyi Qin, Jinglu Wang, Yan Lu · 2020 · ACM International Conference on Multimedia (ACM MM)
  19. Can Language Understand Depth?
    Renrui Zhang, Ziyao Zeng, Ziyu Guo, Yafeng Li · 2022 · ACM International Conference on Multimedia (ACM MM)
  20. Human-Aware Object Placement for Visual Environment Reconstruction
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  21. URCDC-Depth: Uncertainty Rectified Cross-Distillation With CutFlip for Monocular Depth Estimation
    Shuwei Shao, Zhongcai Pei, Weihai Chen, Ran Li, Zhong Liu, Zhengguo G. Li · 2023 · IEEE Transactions on Multimedia
  22. Self-Supervised Monocular Depth Estimation With Multiscale Perception
    Yourun Zhang, Maoguo Gong, Jianzhao Li, Mingyang Zhang, Fenlong Jiang, Hongyu Zhao · 2022 · IEEE Transactions on Image Processing
  23. Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry
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  24. Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking
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  25. Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation
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  26. Monocular Depth Estimation With Improved Long-Range Accuracy for UAV Environment Perception
    Vlad–Cristian Miclea, Sergiu Nedevschi · 2021 · IEEE Transactions on Geoscience and Remote Sensing
  27. SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth Estimation
    Youhong Wang, Yunji Liang, Hao Xu, Shaohui Jiao, Hongkai Yu · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
  28. StructDepth: Leveraging the structural regularities for self-supervised indoor depth estimation
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  29. ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth Estimation
    Chuanqing Zhuang, Zhengda Lu, Yiqun Wang, Jun Xiao, Ying Wang · 2022 · Proceedings of the AAAI Conference on Artificial Intelligence
  30. Exploiting Pseudo Labels in a Self-Supervised Learning Framework for Improved Monocular Depth Estimation
    Andra Petrovai, Sergiu Nedevschi · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  31. FishNet: A Large-scale Dataset and Benchmark for Fish Recognition, Detection, and Functional Trait Prediction
    Faizan Farooq Khan, Xiang Li, Andrew J. Temple, Mohamed Elhoseiny · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
  32. Robust Inter-Vehicle Distance Estimation Method Based on Monocular Vision
    Liqin Huang, Ting Zhe, Junyi Wu, Qiang Wu, Chenhao Pei, Dan Chen · 2019 · IEEE Access
  33. Unimodal regularized neuron stick-breaking for ordinal classification
    Xiaofeng Liu, Fangfang Fan, Lingsheng Kong, Zhihui Diao, Wanqing Xie, Jun Lu, Jane You · 2020 · Neurocomputing
  34. Swin-Depth: Using Transformers and Multi-Scale Fusion for Monocular-Based Depth Estimation
    Zeyu Cheng, Yi Zhang, Chengkai Tang · 2021 · IEEE Sensors Journal
  35. FACSIMILE: Fast and Accurate Scans From an Image in Less Than a Second
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  36. Ordinal Regression with Neuron Stick-Breaking for Medical Diagnosis
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  37. Transformers in Self-Supervised Monocular Depth Estimation with Unknown Camera Intrinsics
    Arnav Varma, Hemang Chawla, Bahram Zonooz, Elahe Arani · 2022 · International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP)
  38. UDepth: Fast Monocular Depth Estimation for Visually-guided Underwater Robots
    Boxiao Yu, Jiayi Wu, Md Jahidul Islam · 2023 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  39. ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation
    Suraj Patni, Aradhye Agarwal, Chetan Arora · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  40. Semi-Supervised Adversarial Monocular Depth Estimation
    Rongrong Ji, Ke Li, Yan Wang, Xiaoshuai Sun, Feng Guo, Xiaowei Guo, Yongjian Wu, Feiyue Huang, Jiebo Luo · 2019 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  41. Towards Accurate Reconstruction of 3D Scene Shape From A Single Monocular Image
    Wei Yin, Jianming Zhang, Oliver Wang, Simon Niklaus, Simon Chen, Yifan Liu, Chunhua Shen · 2022 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  42. Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior
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  43. Assessment of the Degree of Building Damage Caused by Disaster Using Convolutional Neural Networks in Combination with Ordinal Regression
    Tianyu Ci, Zhen Liu, Ying Wang · 2019 · Remote Sensing
  44. SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception
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  45. Cumulative link models for deep ordinal classification
    Víctor-Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás‐Martínez · 2020 · Neurocomputing
  46. Occlusion-Aware Depth Estimation with Adaptive Normal Constraints
    Xiaoxiao Long, Lingjie Liu, Christian Theobalt, Wenping Wang · 2020 · MPG.PuRe (Max Planck Society)
  47. Depth Completion using Plane-Residual Representation
    Byeong-Uk Lee, Kyunghyun Lee, In So Kweon · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  48. Depth Estimation Using a Self-Supervised Network Based on Cross-Layer Feature Fusion and the Quadtree Constraint
    Fangzheng Tian, Yongbin Gao, Zhijun Fang, Yuming Fang, Jia Gu, Hamido Fujita, Jenq–Neng Hwang · 2021 · IEEE Transactions on Circuits and Systems for Video Technology
  49. Multi-view Depth Estimation using Epipolar Spatio-Temporal Networks
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  50. Scene-Aware Egocentric 3D Human Pose Estimation
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  51. Dp-M3D: Monocular 3D object detection algorithm with depth perception capability
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  52. Fixing Defect of Photometric Loss for Self-Supervised Monocular Depth Estimation
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  54. Trustworthy Multimodal Fusion for Sentiment Analysis in Ordinal Sentiment Space
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  55. Aerial Single-View Depth Completion With Image-Guided Uncertainty Estimation
    Lucas Teixeira, Martin R. Oswald, Marc Pollefeys, Margarita Chli · 2020 · IEEE Robotics and Automation Letters
  56. Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability Volumes
    Juan Luis Gonzalez, Munchurl Kim · 2020 · arXiv (Cornell University)
  57. SDNet: Semantically Guided Depth Estimation Network
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  58. IVFuseNet: Fusion of infrared and visible light images for depth prediction
    Yuqi Li, Haitao Zhao, Zhengwei Hu, Qianqian Wang, Yuru Chen · 2019 · Information Fusion
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  60. Mono-SF: Multi-View Geometry Meets Single-View Depth for Monocular Scene Flow Estimation of Dynamic Traffic Scenes
    Fabian Brickwedde, Steffen Abraham, Rudolf Mester · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
  61. On deep learning techniques to boost monocular depth estimation for autonomous navigation
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  66. Deep monocular depth estimation leveraging a large-scale outdoor stereo dataset
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