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Capitalizing on the remarkable advancements in Large Language Models (LLMs), there is a burgeoning initiative to harness LLMs for instruction following robotic navigation.
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Huang, H., Jain, V., Mehta, H., Ku, A., Magalhaes, G., Baldridge, J., Ie, E.: Transferable representation learning in vision-and-language navigation. In: Proceedings of the IEEE/CVF international conference on computer vision. pp. 7404–7413 (2019)
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Hao, W., Li, C., Li, X., Carin, L., Gao, J.: Towards learning a generic agent for vision-and-language navigation via pre-training. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 13137–13146 (2020)
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Majumdar, A., Shrivastava, A., Lee, S., Anderson, P., Parikh, D., Batra, D.: Improving vision-and-language navigation with image-text pairs from the web. In: European Conference on Computer Vision. pp. 259–274. Springer (2020)
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Parvaneh, A., Abbasnejad, E., Teney, D., Shi, J.Q., van den Hengel, A.: Counterfactual vision-and-language navigation: Unravelling the unseen. Advances in Neural Information Processing Systems 33
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Thomason, J., Murray, M., Cakmak, M., Zettlemoyer, L.: Vision-and-dialog navigation. In: Conference on Robot Learning. pp. 394–406 (2020)
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Wang, H., Wang, W., Shu, T., Liang, W., Shen, J.: Active visual information gathering for vision-language navigation. In: European Conference on Computer Vision. pp. 307–322. Springer (2020)
2020
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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
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An, D., Qi, Y., Huang, Y., Wu, Q., Wang, L., Tan, T.: Neighbor-view enhanced model for vision and language navigation. In: Proceedings of the 29th ACM International Conference on Multimedia. pp. 5101–5109 (2021)
2021
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Chen, K., Chen, J.K., Chuang, J., Vázquez, M., Savarese, S.: Topological planning with transformers for vision-and-language navigation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 11276–11286 (2021)
2021
Cited alongside, same era.
Chen, S., Guhur, P.L., Schmid, C., Laptev, I.: History aware multimodal transformer for vision-and-language navigation. Advances in Neural Information Processing Systems 34
2021
Cited alongside, same era.
Chen, S., Guhur, P.L., Schmid, C., Laptev, I.: History aware multimodal transformer for vision-and-language navigation. Advances in Neural Information Processing Systems 34
2021
Cited alongside, same era.
Guhur, P.L., Tapaswi, M., Chen, S., Laptev, I., Schmid, C.: Airbert: In-domain pretraining for vision-and-language navigation. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 1634–1643 (2021)
2021
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2023
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Li, X., Wang, Z., Yang, J., Wang, Y., Jiang, S.: Kerm: Knowledge enhanced reasoning for vision-and-language navigation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 2583–2592 (2023)
2023
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Liu, R., Wang, X., Wang, W., Yang, Y.: Bird’s-eye-view scene graph for vision-language navigation. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 10968–10980 (2023)
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2023
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Qiao, Y., Qi, Y., Hong, Y., Yu, Z., Wang, P., Wu, Q.: Hop+: History-enhanced and order-aware pre-training for vision-and-language navigation. IEEE Transactions on Pattern Analysis and Machine Intelligence (2023)
2023
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Qiao, Y., Qi, Y., Yu, Z., Liu, J., Wu, Q.: March in chat: Interactive prompting for remote embodied referring expression. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 15758–15767 (2023)
2023
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Wang, Z., Li, X., Yang, J., Liu, Y., Jiang, S.: Gridmm: Grid memory map for vision-and-language navigation. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 15625–15636 (2023)
2023
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Wang, Z., Li, J., Hong, Y., Wang, Y., Wu, Q., Bansal, M., Gould, S., Tan, H., Qiao, Y.: Scaling data generation in vision-and-language navigation. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 12009–12020 (2023)
2023
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Zhao, C., Qi, Y., Wu, Q.: Mind the gap: Improving success rate of vision-and-language navigation by revisiting oracle success routes. In: Proceedings of the 31st ACM International Conference on Multimedia. pp. 4349–4358 (2023)
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2024
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2024
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Liu, H., Li, C., Wu, Q., Lee, Y.J.: Visual instruction tuning. Advances in neural information processing systems 36
2024
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Wang, W., Chen, Z., Chen, X., Wu, J., Zhu, X., Zeng, G., Luo, P., Lu, T., Zhou, J., Qiao, Y., et al.: Visionllm: Large language model is also an open-ended decoder for vision-centric tasks. Advances in Neural Information Processing Systems 36
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Zhou, G., Hong, Y., Wu, Q.: Navgpt: Explicit reasoning in vision-and-language navigation with large language models. In: Proceedings of the AAAI Conference on Artificial Intelligence. vol. 38, pp. 7641–7649 (2024)
2024
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