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3D dense captioning stands as a cornerstone in achieving a comprehensive understanding of 3D scenes through natural language.
Papineni, K., Roukos, S., Ward, T., Zhu, W.J.: Bleu: a method for automatic evaluation of machine translation. In: Proceedings of the 40th annual meeting of the Association for Computational Linguistics. pp. 311–318 (2002)
2002
Earlier work this paper cites.
Chen, D.Y., Tian, X.P., Shen, Y.T., Ouhyoung, M.: On visual similarity based 3d model retrieval. In: Computer graphics forum. vol. 22, pp. 223–232. Wiley Online Library (2003)
2003
Earlier work this paper cites.
Lin, C.Y.: Rouge: A package for automatic evaluation of summaries. In: Text summarization branches out. pp. 74–81 (2004)
2004
Earlier work this paper cites.
Banerjee, S., Lavie, A.: Meteor: An automatic metric for mt evaluation with improved correlation with human judgments. In: Proceedings of the acl workshop on intrinsic and extrinsic evaluation measures for machine translation and/or summarization. pp. 65–72 (2005)
2005
Earlier work this paper cites.
Vedantam, R., Lawrence Zitnick, C., Parikh, D.: Cider: Consensus-based image description evaluation. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 4566–4575 (2015)
2015
Earlier work this paper cites.
Vinyals, O., Toshev, A., Bengio, S., Erhan, D.: Show and tell: A neural image caption generator. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 3156–3164 (2015)
2015
Earlier work this paper cites.
He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 770–778 (2016)
2016
Earlier work this paper cites.
Dai, A., Chang, A.X., Savva, M., Halber, M., Funkhouser, T., Nießner, M.: Scannet: Richly-annotated 3d reconstructions of indoor scenes. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 5828–5839 (2017)
2017
Earlier work this paper cites.
Johnson, J., Hariharan, B., Van Der Maaten, L., Fei-Fei, L., Lawrence Zitnick, C., Girshick, R.: Clevr: A diagnostic dataset for compositional language and elementary visual reasoning. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 2901–2910 (2017)
2017
Earlier work this paper cites.
2017
Earlier work this paper cites.
Huang, X., Peng, Y., Yuan, M.: Mhtn: Modal-adversarial hybrid transfer network for cross-modal retrieval. IEEE transactions on cybernetics 50
2018
Earlier work this paper cites.
Qi, C.R., Litany, O., He, K., Guibas, L.J.: Deep hough voting for 3d object detection in point clouds. In: proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 9277–9286 (2019)
2019
Earlier work this paper cites.
Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., Sutskever, I., et al.: Language models are unsupervised multitask learners. OpenAI blog 1
2019
Earlier work this paper cites.
Savva, M., Kadian, A., Maksymets, O., Zhao, Y., Wijmans, E., Jain, B., Straub, J., Liu, J., Koltun, V., Malik, J., et al.: Habitat: A platform for embodied ai research. In: Proceedings of the IEEE/CVF international conference on computer vision. pp. 9339–9347 (2019)
2019
Earlier work this paper cites.
Wang, X., Huang, Q., Celikyilmaz, A., Gao, J., Shen, D., Wang, Y.F., Wang, W.Y., Zhang, L.: Reinforced cross-modal matching and self-supervised imitation learning for vision-language navigation. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 6629–6638 (2019)
2019
Earlier work this paper cites.
Achlioptas, P., Abdelreheem, A., Xia, F., Elhoseiny, M., Guibas, L.: Referit3d: Neural listeners for fine-grained 3d object identification in real-world scenes. In: Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part I 16. pp. 422–440. Springer (2020)
2020
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.
Carion, N., Massa, F., Synnaeve, G., Usunier, N., Kirillov, A., Zagoruyko, S.: End-to-end object detection with transformers. In: European conference on computer vision. pp. 213–229. Springer (2020)
2020
Earlier work this paper cites.
Chen, D.Z., Chang, A.X., Nießner, M.: Scanrefer: 3d object localization in rgb-d scans using natural language. In: European conference on computer vision. pp. 202–221. Springer (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. Springer (2020)
2020
Earlier work this paper cites.
Zhu, F., Zhu, Y., Chang, X., Liang, X.: Vision-language navigation with self-supervised auxiliary reasoning tasks. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 10012–10022 (2020)
2020
Earlier work this paper cites.
2021
Cited alongside, same era.
Chen, Z., Gholami, A., Nießner, M., Chang, A.X.: Scan2cap: Context-aware dense captioning in rgb-d scans. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 3193–3203 (2021)
2021
Cited alongside, same era.
Hu, A., Murez, Z., Mohan, N., Dudas, S., Hawke, J., Badrinarayanan, V., Cipolla, R., Kendall, A.: Fiery: Future instance prediction in bird’s-eye view from surround monocular cameras. In: Proceedings of the IEEE/CVF International Conference on Computer Vision (2021)
2021
Cited alongside, same era.
2021
Hu, Y., Yang, J., Chen, L., Li, K., Sima, C., Zhu, X., Chai, S., Du, S., Lin, T., Wang, W., et al.: Planning-oriented autonomous driving. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 17853–17862 (2023)
2023
Later among the works it cites.
Huang, C., Mees, O., Zeng, A., Burgard, W.: Visual language maps for robot navigation. In: 2023 IEEE International Conference on Robotics and Automation (ICRA). pp. 10608–10615. IEEE (2023)
2023
Later among the works it cites.
2023
Later among the works it cites.
Li, Y., Ge, Z., Yu, G., Yang, J., Wang, Z., Shi, Y., Sun, J., Li, Z.: Bevdepth: Acquisition of reliable depth for multi-view 3d object detection. In: Proceedings of the AAAI Conference on Artificial Intelligence (2023)
2023
Later among the works it cites.
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Cited alongside, same era.
Cai, D., Zhao, L., Zhang, J., Sheng, L., Xu, D.: 3djcg: A unified framework for joint dense captioning and visual grounding on 3d point clouds. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 16464–16473 (2022)
2022
Cited alongside, same era.
Jiao, Y., Chen, S., Jie, Z., Chen, J., Ma, L., Jiang, Y.G.: More: Multi-order relation mining for dense captioning in 3d scenes. In: European Conference on Computer Vision. pp. 528–545. Springer (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. Springer (2022)
2022
Cited alongside, same era.
Ouyang, L., Wu, J., Jiang, X., Almeida, D., Wainwright, C., Mishkin, P., Zhang, C., Agarwal, S., Slama, K., Ray, A., et al.: Training language models to follow instructions with human feedback. Advances in Neural Information Processing Systems 35
2022
Cited alongside, same era.
2022
Cited alongside, same era.
Saha, A., Mendez, O., Russell, C., Bowden, R.: Translating images into maps. In: 2022 International conference on robotics and automation (ICRA) (2022)
2022
Cited alongside, same era.
2022
Cited alongside, same era.
Wang, Y., Guizilini, V.C., Zhang, T., Wang, Y., Zhao, H., Solomon, J.: Detr3d: 3d object detection from multi-view images via 3d-to-2d queries. In: Conference on Robot Learning. pp. 180–191. PMLR (2022)
2022
Cited alongside, same era.
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
Later among the works it cites.
Malla, S., Choi, C., Dwivedi, I., Choi, J.H., Li, J.: Drama: Joint risk localization and captioning in driving. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. pp. 1043–1052 (2023)
2023
Later among the works it cites.
OpenAI, R.: Gpt-4 technical report. arxiv 2303.08774. View in Article 2
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
Yu, T., Lin, X., Wang, S., Sheng, W., Huang, Q., Yu, J.: A comprehensive survey of 3d dense captioning: Localizing and describing objects in 3d scenes. IEEE Transactions on Circuits and Systems for Video Technology (2023)
2023
Later among the works it cites.
2023
Later among the works it cites.
Zhang, Y., Gong, Z., Chang, A.X.: Multi3drefer: Grounding text description to multiple 3d objects. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 15225–15236 (2023)
2023
Later among the works it cites.
2023
Later among the works it cites.
Deitke, M., Liu, R., Wallingford, M., Ngo, H., Michel, O., Kusupati, A., Fan, A., Laforte, C., Voleti, V., Gadre, S.Y., et al.: Objaverse-xl: A universe of 10m+ 3d objects. Advances in Neural Information Processing Systems 36
2024
Closest in time.
Delitzas, A., Takmaz, A., Tombari, F., Sumner, R., Pollefeys, M., Engelmann, F.: Scenefun3d: Fine-grained functionality and affordance understanding in 3d scenes. In: Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) (2024)
2024
Closest in time.
Hong, Y., Zhen, H., Chen, P., Zheng, S., Du, Y., Chen, Z., Gan, C.: 3d-llm: Injecting the 3d world into large language models. Advances in Neural Information Processing Systems 36
2024
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2024
Closest in time.
Sachdeva, E., Agarwal, N., Chundi, S., Roelofs, S., Li, J., Kochenderfer, M., Choi, C., Dariush, B.: Rank2tell: A multimodal driving dataset for joint importance ranking and reasoning. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. pp. 7513–7522 (2024)
2024
Closest in time.