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Luca Weihs
Luca Weihs
Research Scientist, Allen Institute for Artificial Intelligence
Verified email at allenai.org
Title
Cited by
Cited by
Year
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
7242019
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
2062023
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
1852020
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
1542022
Visual room rearrangement
L Weihs, M Deitke, A Kembhavi, R Mottaghi
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
972021
🏘 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
882022
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
862021
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
752019
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
742020
Gender trends in computer science authorship
LL Wang, G Stanovsky, L Weihs, O Etzioni
Communications of the ACM 64 (3), 78-84, 2021
592021
Symmetric rank covariances: a generalized framework for nonparametric measures of dependence
L Weihs, M Drton, N Meinshausen
Biometrika 105 (3), 547-562, 2018
542018
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
522020
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
472020
Learning to predict citation-based impact measures
L Weihs, O Etzioni
2017 ACM/IEEE joint conference on digital libraries (JCDL), 1-10, 2017
442017
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
342022
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
28*2021
Generic identifiability of linear structural equation models by ancestor decomposition
M Drton, L Weihs
Scandinavian Journal of Statistics 43 (4), 1035-1045, 2016
282016
Efficient computation of the Bergsma–Dassios sign covariance
L Weihs, M Drton, D Leung
Computational Statistics 31, 315-328, 2016
262016
Marginal likelihood and model selection for Gaussian latent tree and forest models
M Drton, S Lin, L Weihs, P Zwiernik
252017
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
242021
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