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Occupancy prediction has increasingly garnered attention in recent years for its fine-grained understanding of 3D scenes.
Meagher, D.: Geometric modeling using octree encoding. Computer graphics and image processing 19
1982
Earlier work this paper cites.
Ronneberger, O., Fischer, P., Brox, T.: U-net: Convolutional networks for biomedical image segmentation. In: Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18. pp. 234–241. Springer (2015)
2015
Earlier work this paper cites.
Dai, J., Qi, H., Xiong, Y., Li, Y., Zhang, G., Hu, H., Wei, Y.: Deformable convolutional networks. In: 2017 IEEE International Conference on Computer Vision (ICCV). pp. 764–773 (2017). https://doi.org/10.1109/ICCV.2017.89
2017
Earlier work this paper cites.
Häne, C., Tulsiani, S., Malik, J.: Hierarchical surface prediction for 3d object reconstruction. In: 2017 International Conference on 3D Vision (3DV). pp. 412–420. IEEE (2017)
2017
Earlier work this paper cites.
Kingma, D.P., Ba, J.: Adam: A method for stochastic optimization (2017)
2017
Earlier work this paper cites.
Lin, T.Y., Dollár, P., Girshick, R., He, K., Hariharan, B., Belongie, S.: Feature pyramid networks for object detection. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 2117–2125 (2017)
2017
Earlier work this paper cites.
Tatarchenko, M., Dosovitskiy, A., Brox, T.: Octree generating networks: Efficient convolutional architectures for high-resolution 3d outputs. In: Proceedings of the IEEE international conference on computer vision. pp. 2088–2096 (2017)
2017
Earlier work this paper cites.
Wang, P.S., Liu, Y., Guo, Y.X., Sun, C.Y., Tong, X.: O-cnn: Octree-based convolutional neural networks for 3d shape analysis. ACM Transactions On Graphics (TOG) 36
2017
Earlier work this paper cites.
Wang, P.S., Sun, C.Y., Liu, Y., Tong, X.: Adaptive o-cnn: A patch-based deep representation of 3d shapes. ACM Transactions on Graphics (TOG) 37
2018
Earlier work this paper cites.
Behley, J., Garbade, M., Milioto, A., Quenzel, J., Behnke, S., Stachniss, C., Gall, J.: Semantickitti: A dataset for semantic scene understanding of lidar sequences. In: Proceedings of the IEEE/CVF international conference on computer vision. pp. 9297–9307 (2019)
2019
Earlier work this paper cites.
Lei, H., Akhtar, N., Mian, A.: Octree guided cnn with spherical kernels for 3d point clouds. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 9631–9640 (2019)
2019
Earlier work this paper cites.
2019
Earlier work this paper cites.
Caesar, H., Bankiti, V., Lang, A.H., Vora, S., Liong, V.E., Xu, Q., Krishnan, A., Pan, Y., Baldan, G., Beijbom, O.: nuscenes: A multimodal dataset for autonomous driving. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 11621–11631 (2020)
2020
Earlier work this paper cites.
Chen, X., Lin, K.Y., Qian, C., Zeng, G., Li, H.: 3d sketch-aware semantic scene completion via semi-supervised structure prior. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 4193–4202 (2020)
2020
Earlier work this paper cites.
Li, J., Han, K., Wang, P., Liu, Y., Yuan, X.: Anisotropic convolutional networks for 3d semantic scene completion. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 3351–3359 (2020)
2020
Earlier work this paper cites.
Philion, J., Fidler, S.: Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d. In: Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XIV 16. pp. 194–210. Springer (2020)
2020
Earlier work this paper cites.
Roldao, L., de Charette, R., Verroust-Blondet, A.: Lmscnet: Lightweight multiscale 3d semantic completion. In: 2020 International Conference on 3D Vision (3DV). pp. 111–119. IEEE (2020)
2020
Earlier work this paper cites.
2020
Earlier work this paper cites.
2021
Earlier work this paper cites.
Que, Z., Lu, G., Xu, D.: Voxelcontext-net: An octree based framework for point cloud compression. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 6042–6051 (2021)
2021
Earlier work this paper cites.
2021
Cited alongside, same era.
Yan, X., Gao, J., Li, J., Zhang, R., Li, Z., Huang, R., Cui, S.: Sparse single sweep lidar point cloud segmentation via learning contextual shape priors from scene completion. In: Proceedings of the AAAI Conference on Artificial Intelligence. vol. 35, pp. 3101–3109 (2021)
2021
Cited alongside, same era.
Cao, A.Q., de Charette, R.: Monoscene: Monocular 3d semantic scene completion. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 3991–4001 (June 2022)
2022
Cited alongside, same era.
Fu, C., Li, G., Song, R., Gao, W., Liu, S.: Octattention: Octree-based large-scale contexts model for point cloud compression. In: Proceedings of the AAAI Conference on Artificial Intelligence. vol. 36, pp. 625–633 (2022)
2022
Liu, Z., Tang, H., Amini, A., Yang, X., Mao, H., Rus, D.L., Han, S.: Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation. In: 2023 IEEE International Conference on Robotics and Automation (ICRA). pp. 2774–2781. IEEE (2023)
2023
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2023
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2023
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Pan, M., Liu, J., Zhang, R., Huang, P., Li, X., Liu, L., Zhang, S.: Renderocc: Vision-centric 3d occupancy prediction with 2d rendering supervision (2023)
2023
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Cited alongside, same era.
2022
Cited alongside, same era.
Li, Y., Bao, H., Ge, Z., Yang, J., Sun, J., Li, Z.: Bevstereo: Enhancing depth estimation in multi-view 3d object detection with dynamic temporal stereo (2022)
2022
Cited alongside, same era.
Li, Z., Wang, W., Li, H., Xie, E., Sima, C., Lu, T., Qiao, Y., Dai, J.: Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers. In: European conference on computer vision. pp. 1–18. Springer (2022)
2022
Cited alongside, same era.
2022
Cited alongside, same era.
Liu, Y., Wang, T., Zhang, X., Sun, J.: Petr: Position embedding transformation for multi-view 3d object detection. In: European Conference on Computer Vision. pp. 531–548. Springer (2022)
2022
Cited alongside, same era.
2022
Cited alongside, same era.
Wang, P.S., Liu, Y., Tong, X.: Dual octree graph networks for learning adaptive volumetric shape representations. ACM Transactions on Graphics (TOG) 41
2022
Cited alongside, same era.
Huang, Y., Zheng, W., Zhang, B., Zhou, J., Lu, J.: Selfocc: Self-supervised vision-based 3d occupancy prediction (2023)
2023
Cited alongside, same era.
Sima, C., Tong, W., Wang, T., Chen, L., Wu, S., Deng, H., Gu, Y., Lu, L., Luo, P., Lin, D., Li, H.: Scene as occupancy (2023)
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Wei, Y., Zhao, L., Zheng, W., Zhu, Z., Zhou, J., Lu, J.: Surroundocc: Multi-camera 3d occupancy prediction for autonomous driving. In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV). pp. 21729–21740 (October 2023)
2023
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Yang, C., Chen, Y., Tian, H., Tao, C., Zhu, X., Zhang, Z., Huang, G., Li, H., Qiao, Y., Lu, L., et al.: Bevformer v2: Adapting modern image backbones to bird’s-eye-view recognition via perspective supervision. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 17830–17839 (2023)
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Zhou, C., Zhang, Y., Chen, J., Huang, D.: Octr: Octree-based transformer for 3d object detection. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 5166–5175 (2023)
2023
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2024
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