Deep Ordinal Regression Network for Monocular Depth Estimation

Cited by (1,003)

Items 101–200 of 1,003

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6. Monocular Depth Estimation Using Relative Depth Maps
   Jae-Han Lee, Chang‐Su Kim · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
7. Single Image Depth Estimation Trained via Depth From Defocus Cues
   Shir Gur, Lior Wolf · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
8. ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic Segmentation
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9. 3D Object Detection From Images for Autonomous Driving: A Survey
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10. 3D Object Detection from Images for Autonomous Driving: A Survey
    Ma, Xinzhu, Ouyang, Wanli, Simonelli, Andrea, Ricci, Elisa · 2022 · arXiv
11. The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation
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12. On the Synergies between Machine Learning and Binocular Stereo for Depth Estimation from Images: a Survey
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13. Neural RGB®D Sensing: Depth and Uncertainty From a Video Camera
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14. Depth-conditioned Dynamic Message Propagation for Monocular 3D Object Detection
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15. SDC-Depth: Semantic Divide-and-Conquer Network for Monocular Depth Estimation
    Lijun Wang, Jianming Zhang, Oliver Wang, Zhe Lin, Huchuan Lu · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
16. DFuseNet: Deep Fusion of RGB and Sparse Depth Information for Image Guided Dense Depth Completion
    Shreyas S. Shivakumar, Ty Nguyen, Ian D. Miller, Steven W. Chen, Vijay Kumar, Camillo Jose Taylor · 2019 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
17. Restoring Images in Adverse Weather Conditions via Histogram Transformer
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18. The Edge of Depth: Explicit Constraints Between Segmentation and Depth
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19. AutoScale: Learning to Scale for Crowd Counting
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20. DeepV2D: Video to Depth with Differentiable Structure from Motion
    Zachary Teed, Jia Deng · 2018 · arXiv (Cornell University)
21. Evaluation of CNN-Based Single-Image Depth Estimation Methods
    Tobias Koch, Lukas Liebel, Friedrich Fraundorfer, Marco Körner · 2019 · Lecture notes in computer science
22. Structure-Aware Residual Pyramid Network for Monocular Depth Estimation
    Xiaotian Chen, Xuejin Chen, Zheng-Jun Zha · 2019 · International Joint Conference on Artificial Intelligence
23. Exploiting Temporal Consistency for Real-Time Video Depth Estimation
    Haokui Zhang, Ying Li, Yuanzhouhan Cao, Yu Liu, Chunhua Shen, Youliang Yan · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
24. Deep Learning-Based Image 3-D Object Detection for Autonomous Driving: Review
    Simegnew Yihunie Alaba, John E. Ball · 2023 · IEEE Sensors Journal
25. iDisc: Internal Discretization for Monocular Depth Estimation
    Luigi Piccinelli, Christos Sakaridis, Fisher Yu · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
26. CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth
    Facil, Jose M., Ummenhofer, Benjamin, Zhou, Huizhong, Montesano, Luis, Brox, Thomas, Civera, Javier · 2019 · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
27. BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection
    Lei Yang, Kaicheng Yu, Tao Tang, Jun Li, Kun Yuan, Li Wang, Xinyu Zhang, Peng Chen · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
28. LocalBins: Improving Depth Estimation by Learning Local Distributions
    Shariq Farooq Bhat, Ibraheem Alhashim, Peter Wonka · 2022 · Lecture notes in computer science
29. DIODE: A Dense Indoor and Outdoor DEpth Dataset
    Igor Vasiljevic, Kolkin, Nick, Zhang, Shanyi, Ruotian Luo, Haochen Wang, Falcon Z. Dai, Andrea F. Daniele, Mohammadreza Mostajabi, Steven Basart, Matthew R. Walter et al. · 2019 · arXiv (Cornell University)
30. UniFuse: Unidirectional Fusion for 360° Panorama Depth Estimation
    Hualie Jiang, Zhe Sheng, Siyu Zhu, Zilong Dong, Rui Huang · 2021 · IEEE Robotics and Automation Letters
31. Learning Single Camera Depth Estimation Using Dual-Pixels
    Rahul Dev Garg, Neal Wadhwa, Sameer Ansari, Jonathan T. Barron · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
32. CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextual Fusion Transformer
    Kim, Youngseok, Kim, Sanmin, Choi, Jun Won, Kum, Dongsuk · 2023 · Proceedings of the AAAI Conference on Artificial Intelligence
33. SharpNet: Fast and Accurate Recovery of Occluding Contours in Monocular Depth Estimation
    Michaël Ramamonjisoa, Vincent Lepetit · 2019 · IEEE International Conference on Computer Vision Workshops
34. Single image depth estimation: An overview
    Mertan, Alican, Duff, Damien Jade, Unal, Gozde · 2022 · Digital Signal Processing
35. Generative Adversarial Networks for Unsupervised Monocular Depth Prediction
    Filippo Aleotti, Fabio Tosi, Matteo Poggi, Stefano Mattoccia · 2019 · Lecture notes in computer science
36. Monocular Depth Estimation: A Thorough Review
    Vasileios Arampatzakis, Georgios Pavlidis, N. Mitianoudis, Nikos Papamarkos · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
37. DeepSFM: Structure from Motion via Deep Bundle Adjustment
    Xingkui Wei, Yinda Zhang, Zhuwen Li, Yanwei Fu, Xiangyang Xue · 2020 · Lecture notes in computer science
38. Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild
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39. Synthetic environments for vision-based structural condition assessment of Japanese high-speed railway viaducts
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40. PMBANet: Progressive Multi-Branch Aggregation Network for Scene Depth Super-Resolution
    Xinchen Ye, Baoli Sun, Zhihui Wang, Jingyu Yang, Rui Xu, Haojie Li, Baopu Li · 2020 · IEEE Transactions on Image Processing
41. Multi-Frame Self-Supervised Depth with Transformers
    Vitor Guizilini, Rareş Ambruş, Dian Chen, Sergey Zakharov, Adrien Gaidon · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
42. Attention-based context aggregation network for monocular depth estimation
    Yuru Chen, Haitao Zhao, Zhengwei Hu, Jingchao Peng · 2021 · International Journal of Machine Learning and Cybernetics
43. Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation
    Rui Peng, Ronggang Wang, Yawen Lai, Luyang Tang, Yangang Cai · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
44. SC-DepthV3: Robust Self-Supervised Monocular Depth Estimation for Dynamic Scenes
    Libo Sun, Jia-Wang Bian, Huangying Zhan, Wei Yin, Ian D. Reid, Chunhua Shen · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
45. Detail Preserving Depth Estimation from a Single Image Using Attention Guided Networks
    Zhixiang Hao, Yu Li, Shaodi You, Feng Lu · 2018 · International Conference on 3D Vision (3DV)
46. Dist-YOLO: Fast Object Detection with Distance Estimation
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47. Milestones in Autonomous Driving and Intelligent Vehicles—Part II: Perception and Planning
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48. Floor-SP: Inverse CAD for Floorplans by Sequential Room-Wise Shortest Path
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49. Fishyscapes: A Benchmark for Safe Semantic Segmentation in Autonomous Driving
    Hermann Blum, Paul-Edouard Sarlin, Juan I. Nieto, Roland Siegwart, César Cadena · 2019 · IEEE International Conference on Computer Vision Workshops
50. Deep Attention-Based Classification Network for Robust Depth Prediction
    Ruibo Li, Ke Xian, Chunhua Shen, Zhiguo Cao, Hao Lü, Lingxiao Hang · 2019 · Lecture notes in computer science
51. Toward Hierarchical Self-Supervised Monocular Absolute Depth Estimation for Autonomous Driving Applications
    Feng Xue, Guirong Zhuo, Ziyuan Huang, Wufei Fu, Zhuoyue Wu, Marcelo H. Ang · 2020 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
52. Moving Window Regression: A Novel Approach to Ordinal Regression
    Nyeong-Ho Shin, Seon‐Ho Lee, Chang‐Su Kim · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
53. UniTR: A Unified and Efficient Multi-Modal Transformer for Bird’s-Eye-View Representation
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54. MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera
    Felix Wimbauer, Nan Yang, Lukas von Stumberg, Niclas Zeller, Daniel Cremers · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
55. RGB-D Local Implicit Function for Depth Completion of Transparent Objects
    Luyang Zhu, Arsalan Mousavian, Xiang Yu, Hammad Mazhar, Jozef van Eenbergen, Shoubhik Debnath, Dieter Fox · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
56. Dual Attention Guided Gaze Target Detection in the Wild
    Yi Fang, Jiapeng Tang, Shen Wang, Wei Shen, Xiao Gu, Li Song, Guangtao Zhai · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
57. Towards Zero-Shot Scale-Aware Monocular Depth Estimation
    Vitor Guizilini, Igor Vasiljevic, Dian Chen, Rareş Ambruş, Adrien Gaidon · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
58. Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction
    Alex Wong, Stefano Soatto · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
59. SliceNet: deep dense depth estimation from a single indoor panorama using a slice-based representation
    Giovanni Pintore, Marco Agus, Eva Almansa, Jens Schneider, Enrico Gobbetti · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
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    Ling Zhou, Zhen Cui, Chunyan Xu, Zhenyu Zhang, Chaoqun Wang, Tong Zhang, Jian Wu Yang · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
61. Vision-Based Human Pose Estimation via Deep Learning: A Survey
    Gongjin Lan, Yu Wu, Fei Hu, Qi Hao · 2022 · IEEE Transactions on Human-Machine Systems
62. DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Temporal Fusion
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63. Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection
    Hong Yu, Hang Dai, Yong Ding · 2022 · Lecture notes in computer science
64. MonoFENet: Monocular 3D Object Detection With Feature Enhancement Networks
    Wentao Bao, Bin Xu, Zhenzhong Chen · 2019 · IEEE Transactions on Image Processing
65. Monocular Depth Estimation: A Survey
    Amlaan Bhoi · 2019 · arXiv (Cornell University)
66. Visualization of Convolutional Neural Networks for Monocular Depth Estimation
    Junjie Hu, Yan Zhang, Takayuki Okatani · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
67. Radar-Camera Pixel Depth Association for Depth Completion
    Y. F. Long, Daniel Morris, Xiaoming Liu, Marcos P. Gerardo Castro, Punarjay Chakravarty, Praveen Narayanan · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
68. Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving
    Yinan Chen, Hang Dai, Yong Shan Ding · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
69. Shift R-CNN: Deep Monocular 3D Object Detection With Closed-Form Geometric Constraints
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71. Learning Depth-Guided Convolutions for Monocular 3D Object Detection
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    Ruilong Li, Yuliang Xiu, Shunsuke Saito, Zeng Huang, Kyle Olszewski, Hao Li · 2020 · Lecture notes in computer science
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    Yingjie Cai, Buyu Li, Zeyu Jiao, Hongsheng Li, Xingyu Zeng, Xiaogang Wang · 2020 · Proceedings of the AAAI Conference on Artificial Intelligence
74. Unsupervised Domain Adaptation for Depth Prediction from Images
    Alessio Tonioni, Matteo Poggi, Stefano Mattoccia, Luigi Di Stefano · 2019 · IEEE Transactions on Pattern Analysis and Machine Intelligence
75. Focus on Defocus: Bridging the Synthetic to Real Domain Gap for Depth Estimation
    Maxim Maximov, Kevin Galim, Laura Leal-Taixé · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
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    Varun Ravi Kumar, Marvin Klingner, Senthil Kumar Yogamani, Stefan Milz, Tim Fingscheidt, Patrick Maeder · 2021 · IEEE Winter Conference on Applications of Computer Vision
77. Single Image Depth Prediction with Wavelet Decomposition
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78. MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments
    Pan Ji, Runze Li, Bir Bhanu, Yi Xu · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
79. Depth Estimation from Monocular Images and Sparse Radar Data
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    Shuwei Shao, Zhongcai Pei, Weihai Chen, Xingming Wu, Zhengguo G. Li · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
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    Jiawei Zhao, Yifan Zhao, Jia Li, Xiaowu Chen · 2020 · ACM International Conference on Multimedia (ACM MM)
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95. Auto-Rectify Network for Unsupervised Indoor Depth Estimation
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99. Moving Indoor: Unsupervised Video Depth Learning in Challenging Environments
    Jun Zhou, Yuwang Wang, K. Qin, Wen-Jun Zeng · 2019 · IEEE International Conference on Computer Vision
100. Task-Aware Monocular Depth Estimation for 3D Object Detection
     Xinlong Wang, Wei Yin, Tao Kong, Yuning Jiang, Lei Li, Chunhua Shen · 2020 · Proceedings of the AAAI Conference on Artificial Intelligence