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We introduce TIDEE, an embodied agent that tidies up a disordered scene based on learned commonsense object placement and room arrangement priors.
Hayward, W.G., Tarr, M.J.: Spatial language and spatial representation. Cognition 55
1995
Earlier work this paper cites.
Sethian, J.A.: A fast marching level set method for monotonically advancing fronts. Proceedings of the National Academy of Sciences 93
1996
Earlier work this paper cites.
Yamauchi, B.: A frontier-based approach for autonomous exploration. In: Proceedings 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation CIRA’97.’Towards New Computational Principles for Robotics and Automation’. pp. 146–151. IEEE (1997)
1997
Earlier work this paper cites.
Malisiewicz, T., Efros, A.A.: Beyond categories: The visual memex model for reasoning about object relationships. In: NIPS (December 2009)
2009
Earlier work this paper cites.
Lin, T.Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., Zitnick, C.L.: Microsoft coco: Common objects in context. In: European conference on computer vision. pp. 740–755. Springer (2014)
2014
Earlier work this paper cites.
Johnson, J., Krishna, R., Stark, M., Li, L.J., Shamma, D., Bernstein, M., Fei-Fei, L.: Image retrieval using scene graphs. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 3668–3678 (2015)
2015
Earlier work this paper cites.
Gupta, S., Davidson, J., Levine, S., Sukthankar, R., Malik, J.: Cognitive mapping and planning for visual navigation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2017)
2017
Earlier work this paper cites.
Kolve, E., Mottaghi, R., Han, W., VanderBilt, E., Weihs, L., Herrasti, A., Gordon, D., Zhu, Y., Gupta, A., Farhadi, A.: AI2-THOR: An Interactive 3D Environment for Visual AI. arXiv (2017)
2017
Earlier work this paper cites.
Marino, K., Salakhutdinov, R., Gupta, A.: The more you know: Using knowledge graphs for image classification. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 20–28 (2017). https://doi.org/10.1109/CVPR.2017.10
2017
Earlier work this paper cites.
2018
Earlier work this paper cites.
Anderson, P., Wu, Q., Teney, D., Bruce, J., Johnson, M., Sünderhauf, N., Reid, I., Gould, S., Van Den Hengel, A.: Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 3674–3683 (2018)
2018
Earlier work this paper cites.
Chen, X., Li, L.J., Fei-Fei, L., Gupta, A.: Iterative visual reasoning beyond convolutions. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 7239–7248 (2018)
2018
Earlier work this paper cites.
Das, A., Datta, S., Gkioxari, G., Lee, S., Parikh, D., Batra, D.: Embodied question answering. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 1–10 (2018)
2018
Earlier work this paper cites.
Fan, L., Zhu, Y., Zhu, J., Liu, Z., Zeng, O., Gupta, A., Creus-Costa, J., Savarese, S., Fei-Fei, L.: Surreal: Open-source reinforcement learning framework and robot manipulation benchmark. In: Conference on Robot Learning. pp. 767–782. PMLR (2018)
2018
Earlier work this paper cites.
Gordon, D., Kembhavi, A., Rastegari, M., Redmon, J., Fox, D., Farhadi, A.: Iqa: Visual question answering in interactive environments. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 4089–4098 (2018)
2018
Earlier work this paper cites.
Haber, N., Mrowca, D., Fei-Fei, L., Yamins, D.L.: Learning to play with intrinsically-motivated self-aware agents. 32nd Conference on Neural Information Processing Systems (2018)
2018
Earlier work this paper cites.
Schlichtkrull, M., Kipf, T.N., Bloem, P., Van Den Berg, R., Titov, I., Welling, M.: Modeling relational data with graph convolutional networks. In: European semantic web conference. pp. 593–607. Springer (2018)
2018
Cited alongside, same era.
Wang, X., Ye, Y., Gupta, A.: Zero-shot recognition via semantic embeddings and knowledge graphs. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 6857–6866 (2018)
2018
Cited alongside, same era.
Chen, T., Gupta, S., Gupta, A.: Learning exploration policies for navigation. In: International Conference on Learning Representations (2019), https://openreview.net/pdf?id=SyMWn05F7
2019
Cited alongside, same era.
Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: Pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). pp. 4171–4186. Association for Computational Linguistics, Minneapolis, Minnesota (Jun 2019). https://doi.org/10.18653/v1/N19-1423, https://aclanthology.org/N19-1423
Ramakrishnan, S.K., Al-Halah, Z., Grauman, K.: Occupancy anticipation for efficient exploration and navigation. In: European Conference on Computer Vision. pp. 400–418. Springer (2020)
2020
Later among the works it cites.
Shridhar, M., Thomason, J., Gordon, D., Bisk, Y., Han, W., Mottaghi, R., Zettlemoyer, L., Fox, D.: Alfred: A benchmark for interpreting grounded instructions for everyday tasks. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 10740–10749 (2020)
2020
Later among the works it cites.
Wijmans, E., Kadian, A., Morcos, A.S., Lee, S., Essa, I., Parikh, D., Savva, M., Batra, D.: Dd-ppo: Learning near-perfect pointgoal navigators from 2.5 billion frames. In: ICLR (2020)
2020
Later among the works it cites.
Yu, T., Quillen, D., He, Z., Julian, R., Hausman, K., Finn, C., Levine, S.: Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning. In: Conference on Robot Learning. pp. 1094–1100. PMLR (2020)
2020
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2019
Cited alongside, same era.
2019
Cited alongside, same era.
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
Cited alongside, same era.
Wortsman, M., Ehsani, K., Rastegari, M., Farhadi, A., Mottaghi, R.: Learning to learn how to learn: Self-adaptive visual navigation using meta-learning. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 6750–6759 (2019)
2019
Cited alongside, same era.
Yang, W., Wang, X., Farhadi, A., Gupta, A., Mottaghi, R.: Visual semantic navigation using scene priors. In: Proceedings of (ICLR) International Conference on Learning Representations (May 2019)
2019
Cited alongside, same era.
2020
Cited alongside, same era.
2020
Cited alongside, same era.
Chang, M., Gupta, A., Gupta, S.: Semantic visual navigation by watching youtube videos. Advances in Neural Information Processing Systems 33
2020
Cited alongside, same era.
Chaplot, D.S., Gandhi, D., Gupta, S., Gupta, A., Salakhutdinov, R.: Learning to explore using active neural slam. In: International Conference on Learning Representations (ICLR) (2020)
2020
Cited alongside, same era.
Later among the works it cites.
Zareian, A., Karaman, S., Chang, S.F.: Bridging knowledge graphs to generate scene graphs. In: European Conference on Computer Vision. pp. 606–623. Springer (2020)
2020
Later among the works it cites.
Fang, Z., Jain, A., Sarch, G., Harley, A.W., Fragkiadaki, K.: Move to see better: Self-improving embodied object detection. The British Machine Vision Conference (2021)
2021
Later among the works it cites.
Min, S.Y., Chaplot, D.S., Ravikumar, P., Bisk, Y., Salakhutdinov, R.: Film: Following instructions in language with modular methods (2021)
2021
Later among the works it cites.
Padmakumar, A., Thomason, J., Shrivastava, A., Lange, P., Narayan-Chen, A., Gella, S., Piramuthu, R., Tur, G., Hakkani-Tur, D.: Teach: Task-driven embodied agents that chat (2021)
2021
Later among the works it cites.
Shen, B., Xia, F., Li, C., Martín-Martín, R., Fan, L., Wang, G., Pérez-D’Arpino, C., Buch, S., Srivastava, S., Tchapmi, L.P., Tchapmi, M.E., Vainio, K., Wong, J., Fei-Fei, L., Savarese, S.: igibson 1.0: a simulation environment for interactive tasks in large realistic scenes. In: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems. p. accepted. IEEE (2021)
2021
Later among the works it cites.
Suglia, A., Gao, Q., Thomason, J., Thattai, G., Sukhatme, G.S.: Embodied bert: A transformer model for embodied, language-guided visual task completion. In: EMNLP 2021 Workshop on Novel Ideas in Learning-to-Learn through Interaction (2021), https://www.amazon.science/publications/embodied-bert-a-transformer-model-for-embodied-language-guided-visual-task-completion
2021
Later among the works it cites.
Weihs, L., Deitke, M., Kembhavi, A., Mottaghi, R.: Visual room rearrangement. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (June 2021)
2021
Later among the works it cites.
Weihs, L., Kembhavi, A., Ehsani, K., Pratt, S.M., Han, W., Herrasti, A., Kolve, E., Schwenk, D., Mottaghi, R., Farhadi, A.: Learning generalizable visual representations via interactive gameplay. International Conference on Learning Representations (2021)
2021
Later among the works it cites.
Zhu, X., Su, W., Lu, L., Li, B., Wang, X., Dai, J.: Deformable {detr}: Deformable transformers for end-to-end object detection. In: International Conference on Learning Representations (2021), https://openreview.net/forum?id=gZ9hCDWe6ke
2021
Later among the works it cites.
Blukis, V., Paxton, C., Fox, D., Garg, A., Artzi, Y.: A persistent spatial semantic representation for high-level natural language instruction execution. In: Conference on Robot Learning. pp. 706–717. PMLR (2022)
2022
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Gan, C., Zhou, S., Schwartz, J., Alter, S., Bhandwaldar, A., Gutfreund, D., Yamins, D.L., DiCarlo, J.J., McDermott, J., Torralba, A., Tenenbaum, J.B.: The threedworld transport challenge: A visually guided task-and-motion planning benchmark towards physically realistic embodied ai. In: 2022 International Conference on Robotics and Automation (ICRA). pp. 8847–8854 (2022). https://doi.org/10.1109/ICRA46639.2022.9812329
2022
Closest in time.