| Ai2-thor: An interactive 3d environment for visual ai E Kolve, R Mottaghi, W Han, E VanderBilt, L Weihs, A Herrasti, D Gordon, ... arXiv preprint arXiv:1712.05474, 2019 | 856 | 2019 |
| 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 | 450 | 2023 |
| Robothor: An open simulation-to-real embodied ai platform M Deitke, W Han, A Herrasti, A Kembhavi, E Kolve, R Mottaghi, J Salvador, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 232 | 2020 |
| Simple but effective: Clip embeddings for embodied ai A Khandelwal, L Weihs, R Mottaghi, A Kembhavi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 195 | 2022 |
| 🏘️ 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 | 146 | 2022 |
| Visual room rearrangement L Weihs, M Deitke, A Kembhavi, R Mottaghi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 130 | 2021 |
| 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 | 112 | 2021 |
| Grounded situation recognition S Pratt, M Yatskar, L Weihs, A Farhadi, A Kembhavi Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 93 | 2020 |
| Two body problem: Collaborative visual task completion U Jain, L Weihs, E Kolve, M Rastegari, S Lazebnik, A Farhadi, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 82 | 2019 |
| Gender trends in computer science authorship LL Wang, G Stanovsky, L Weihs, O Etzioni Communications of the ACM 64 (3), 78-84, 2021 | 64 | 2021 |
| Symmetric rank covariances: a generalized framework for nonparametric measures of dependence L Weihs, M Drton, N Meinshausen Biometrika 105 (3), 547-562, 2018 | 62 | 2018 |
| Allenact: A framework for embodied ai research L Weihs, J Salvador, K Kotar, U Jain, KH Zeng, R Mottaghi, A Kembhavi arXiv preprint arXiv:2008.12760, 2020 | 56 | 2020 |
| A cordial sync: Going beyond marginal policies for multi-agent embodied tasks U Jain, L Weihs, E Kolve, A Farhadi, S Lazebnik, A Kembhavi, A Schwing Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 55 | 2020 |
| 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 | 47 | 2022 |
| Learning to predict citation-based impact measures L Weihs, O Etzioni 2017 ACM/IEEE joint conference on digital libraries (JCDL), 1-10, 2017 | 43 | 2017 |
| Pushing it out of the way: Interactive visual navigation KH Zeng, L Weihs, A Farhadi, R Mottaghi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 32 | 2021 |
| Learning Generalizable Visual Representations via Interactive Gameplay L Weihs, A Kembhavi, K Ehsani, SM Pratt, W Han, A Herrasti, E Kolve, ... 9th International Conference on Learning Representations, 2021 | 30* | 2021 |
| Marginal likelihood and model selection for Gaussian latent tree and forest models M Drton, S Lin, L Weihs, P Zwiernik | 30 | 2017 |
| Generic identifiability of linear structural equation models by ancestor decomposition M Drton, L Weihs Scandinavian Journal of Statistics 43 (4), 1035-1045, 2016 | 29 | 2016 |
| Efficient computation of the Bergsma–Dassios sign covariance L Weihs, M Drton, D Leung Computational Statistics 31, 315-328, 2016 | 29 | 2016 |
Aniruddha KembhaviSenior Director of Computer Vision, Allen Institute of Artificial Intelligence在 allenai.org 的电子邮件经过验证
