| Ai2-thor: An interactive 3d environment for visual ai E Kolve, R Mottaghi, W Han, E VanderBilt, L Weihs, A Herrasti, M Deitke, ... arXiv preprint arXiv:1712.05474, 2017 | 979 | 2017 |
| Objaverse: A universe of annotated 3d objects M Deitke, D Schwenk, J Salvador, L Weihs, O Michel, E VanderBilt, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 753 | 2023 |
| Objaverse-xl: A universe of 10m+ 3d objects M Deitke, R Liu, M Wallingford, H Ngo, O Michel, A Kusupati, A Fan, ... Advances in Neural Information Processing Systems 36, 2024 | 291 | 2024 |
| Learning to learn how to learn: Self-adaptive visual navigation using meta-learning M Wortsman, K Ehsani, M Rastegari, A Farhadi, R Mottaghi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 262 | 2019 |
| Segan: Segmenting and generating the invisible K Ehsani, R Mottaghi, A Farhadi Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 209 | 2018 |
| 🏘️ ProcTHOR: Large-Scale Embodied AI Using Procedural Generation M Deitke, E VanderBilt, A Herrasti, L Weihs, K Ehsani, J Salvador, W Han, ... Advances in Neural Information Processing Systems 35, 5982-5994, 2022 | 205 | 2022 |
| Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0 A O’Neill, A Rehman, A Maddukuri, A Gupta, A Padalkar, A Lee, A Pooley, ... 2024 IEEE International Conference on Robotics and Automation (ICRA), 6892-6903, 2024 | 151 | 2024 |
| Manipulathor: A framework for visual object manipulation K Ehsani, W Han, A Herrasti, E VanderBilt, L Weihs, E Kolve, A Kembhavi, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 139 | 2021 |
| Watching the world go by: Representation learning from unlabeled videos D Gordon, K Ehsani, D Fox, A Farhadi arXiv preprint arXiv:2003.07990, 2020 | 100 | 2020 |
| Who let the dogs out? modeling dog behavior from visual data K Ehsani, H Bagherinezhad, J Redmon, R Mottaghi, A Farhadi Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 88 | 2018 |
| Contrasting contrastive self-supervised representation learning pipelines K Kotar, G Ilharco, L Schmidt, K Ehsani, R Mottaghi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 63 | 2021 |
| Retrospectives on the embodied ai workshop M Deitke, D Batra, Y Bisk, T Campari, AX Chang, DS Chaplot, C Chen, ... arXiv preprint arXiv:2210.06849, 2022 | 56 | 2022 |
| Continuous scene representations for embodied ai SY Gadre, K Ehsani, S Song, R Mottaghi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 55 | 2022 |
| Use the force, luke! learning to predict physical forces by simulating effects K Ehsani, S Tulsiani, S Gupta, A Farhadi, A Gupta Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 54 | 2020 |
| Act the Part: Learning Interaction Strategies for Articulated Object Part Discovery S Yitzhak Gadre, K Ehsani, S Song arXiv e-prints, arXiv: 2105.01047, 2021 | 46* | 2021 |
| Molmo and pixmo: Open weights and open data for state-of-the-art multimodal models M Deitke, C Clark, S Lee, R Tripathi, Y Yang, JS Park, M Salehi, ... arXiv preprint arXiv:2409.17146, 2024 | 37 | 2024 |
| Learning generalizable visual representations via interactive gameplay L Weihs, A Kembhavi, K Ehsani, SM Pratt, W Han, A Herrasti, E Kolve, ... arXiv preprint arXiv:1912.08195, 2019 | 28 | 2019 |
| Manipulate-anything: Automating real-world robots using vision-language models J Duan, W Yuan, W Pumacay, YR Wang, K Ehsani, D Fox, R Krishna arXiv preprint arXiv:2406.18915, 2024 | 20 | 2024 |
| Imitating shortest paths in simulation enables effective navigation and manipulation in the real world K Ehsani, T Gupta, R Hendrix, J Salvador, L Weihs, KH Zeng, KP Singh, ... arXiv preprint arXiv:2312.02976, 2023 | 18 | 2023 |
| Structure from action: Learning interactions for articulated object 3d structure discovery N Nie, SY Gadre, K Ehsani, S Song arXiv preprint arXiv:2207.08997, 2022 | 18 | 2022 |
Aniruddha KembhaviSenior Director of Computer Vision, Allen Institute of Artificial Intelligence在 allenai.org 的电子邮件经过验证