TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning | Paper Citation Record

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This paper cites Vision-Centric BEV Perception: A Survey.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Vision-Centric BEV Perception: A Survey

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This paper cites Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe

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This paper cites One Thousand and One Hours: Self-driving Motion Prediction Dataset.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning One Thousand and One Hours: Self-driving Motion Prediction Dataset

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This paper cites Cities 96, 102481 (2020) https://doi.org/10.1016/j.cities.2019.102481.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Cities 96, 102481 (2020) https://doi.org/10.1016/j.cities.2019.102481

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This paper cites Orthographic Feature Transform for Monocular 3D Object Detection.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Orthographic Feature Transform for Monocular 3D Object Detection

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This paper cites In: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems, Xiamen, China, pp.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems, Xiamen, China, pp

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This paper cites IEEE Trans.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning IEEE Trans

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This paper cites In: 2019 IEEE 5th International Conference on Wireless and Telematics (ICWT), Yogyakarta, Indonesia, pp.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: 2019 IEEE 5th International Conference on Wireless and Telematics (ICWT), Yogyakarta, Indonesia, pp

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This paper cites International Journal of Scientific & Engineering Research 3(5), 4 (2012).

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning International Journal of Scientific & Engineering Research 3(5), 4 (2012)

Reference 9

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This paper cites Sensors 12(4), 4431–4446 (2012) https://doi.org/10.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Sensors 12(4), 4431–4446 (2012) https://doi.org/10

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This paper cites In: Proceedings of the International Conference Actual Issues of Mechanical Engineering 2017 (AIME 2017), Tomsk, Russia (2017).

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: Proceedings of the International Conference Actual Issues of Mechanical Engineering 2017 (AIME 2017), Tomsk, Russia (2017)

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This paper cites Cross-View Image Synthesis using Conditional GANs.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Cross-View Image Synthesis using Conditional GANs

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning MonoLayout: Amodal scene layout from a single image

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This paper cites Proceedings of the IEEE 111(3), 257–276 (2023).

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Proceedings of the IEEE 111(3), 257–276 (2023)

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This paper cites International journal of computer vision 128, 261–318 (2020).

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning International journal of computer vision 128, 261–318 (2020)

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This paper cites IEEE access 7, 128837–128868 (2019).

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning IEEE access 7, 128837–128868 (2019)

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This paper cites In: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05), vol.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05), vol

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Unresolved cited work

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This paper cites IEEE Intelligent Systems and their applications 13(4), 18–28 (1998).

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning IEEE Intelligent Systems and their applications 13(4), 18–28 (1998)

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This paper cites In: Proceedings of the IEEE International Conference on Computer Vision, pp.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: Proceedings of the IEEE International Conference on Computer Vision, pp

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This paper cites In: Proceedings of the IEEE International Conference on Computer Vision, pp.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: Proceedings of the IEEE International Conference on Computer Vision, pp

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This paper cites In: 2017 IEEE Con- ference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, pp.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: 2017 IEEE Con- ference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, pp

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning https://github.com/ultralytics/yolov5 (2021)

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Unresolved cited work

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This paper cites In: Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11–14, 2016, Proceedings, Part I 14, pp.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11–14, 2016, Proceedings, Part I 14, pp

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This paper cites In: Proceedings of the Seventh IEEE International Conference on Computer Vision, Kerkyra, Greece, pp.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: Proceedings of the Seventh IEEE International Conference on Computer Vision, Kerkyra, Greece, pp

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This paper cites In: 2019 IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, Korea (South), pp.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: 2019 IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, Korea (South), pp

Reference 27

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This paper cites Sensors 10(3), 2027–2044 (2010) https: //doi.org/10.3390/s100302027.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Sensors 10(3), 2027–2044 (2010) https: //doi.org/10.3390/s100302027

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This paper cites Frana, M.B., Piai, J.C.: A new robust algorithmic for multi-camera calibration with a 1d object under general motions without prior knowledge of any camera intrinsic parameter.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Frana, M.B., Piai, J.C.: A new robust algorithmic for multi-camera calibration with a 1d object under general motions without prior knowledge of any camera intrinsic parameter

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: Proceedings 199 IEEE/IEEJ/JSAI International Confer- ence on Intelligent Transportation Systems (Cat

Reference 30

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This paper cites In: 2019 IEEE Intelligent Vehicles Symposium (IV), Paris, France, pp.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: 2019 IEEE Intelligent Vehicles Symposium (IV), Paris, France, pp

Reference 31

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Unresolved cited work

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning FISHING Net: Future Inference of Semantic Heatmaps In Grids

Reference 33

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Unresolved cited work

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Unresolved cited work

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning IEEE Robot

Reference 39

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning BEVSegFormer: Bird's Eye View Semantic Segmentation From Arbitrary Camera Rigs

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation

Reference 41

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Montreal, QC, Canada, pp

Reference 42

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning HFT: Lifting Perspective Representations via Hybrid Feature Transformation

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning GitNet: Geometric Prior-based Transformation for Birds-Eye-View Segmentation

Reference 44

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: ICCV (2021)

Reference 45

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This paper cites Detecting Dominant Vanishing Points in Natural Scenes with Application to Composition-Sensitive Image Retrieval.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Detecting Dominant Vanishing Points in Natural Scenes with Application to Composition-Sensitive Image Retrieval

Reference 46

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: Computer Vision ECCV 2014

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning https://github.com/nwojke/deepsort.git (2019)

Reference 48

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This paper cites In: 2016 IEEE Int.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: 2016 IEEE Int

Reference 49

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning M3D-RPN: Monocular 3D Region Proposal Network for Object Detection

Reference 50

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Unresolved cited work

Reference 51

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection

Reference 52

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection

Reference 53

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud

Reference 54

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 55

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Adam: A Method for Stochastic Optimization

Reference 56

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This paper cites In: 2018 IEEE International Conference 26 on Robotics and Automation (ICRA), Brisbane, QLD, pp.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: 2018 IEEE International Conference 26 on Robotics and Automation (ICRA), Brisbane, QLD, pp

Reference 57

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning NeurVPS: Neural Vanishing Point Scanning via Conic Convolution

Reference 58

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This paper cites https://www.tfljamcams.net/ (2021).

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning https://www.tfljamcams.net/ (2021)

Reference 59

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This paper cites In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (W ACV) (2021).

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (W ACV) (2021)

Reference 60

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2015)

Reference 61

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019)

Reference 62

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This paper cites In: IEEE Int.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: IEEE Int

Reference 63

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This paper cites In: Proceedings of IEEE International Conference on Computer Vision (ICCV) (2021).

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: Proceedings of IEEE International Conference on Computer Vision (ICCV) (2021)

Reference 64

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: Proceedings of the Conference on Robot Learning (CoRL) (2021)

Reference 65

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: Proceedings of the Conference on Robot Learning (CoRL) (2022)

Reference 66

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning PETR: Position Embedding Transformation for Multi-View 3D Object Detection

Reference 67

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Superconducting dome by tuning through a Van Hove singularity in a two-dimensional metal

Reference 68

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)

Reference 69

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning 3D-LaneNet: End-to-End 3D Multiple Lane Detection

Reference 70

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: Lecture Notes in Computer Science

Reference 71

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