Oleksandr Maksymets
Oleksandr Maksymets
Facebook AI Research, Ph.D. in Computer Science
Verified email at - Homepage
Cited by
Cited by
Habitat: A platform for embodied ai research
M Savva, A Kadian, O Maksymets, Y Zhao, E Wijmans, B Jain, J Straub, ...
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
Habitat 2.0: Training home assistants to rearrange their habitat
A Szot, A Clegg, E Undersander, E Wijmans, Y Zhao, J Turner, N Maestre, ...
Advances in neural information processing systems 34, 251-266, 2021
Habitat-matterport 3d dataset (hm3d): 1000 large-scale 3d environments for embodied ai
SK Ramakrishnan, A Gokaslan, E Wijmans, O Maksymets, A Clegg, ...
arXiv preprint arXiv:2109.08238, 2021
Objectnav revisited: On evaluation of embodied agents navigating to objects
D Batra, A Gokaslan, A Kembhavi, O Maksymets, R Mottaghi, M Savva, ...
arXiv preprint arXiv:2006.13171, 2020
Embodied question answering in photorealistic environments with point cloud perception
E Wijmans, S Datta, O Maksymets, A Das, G Gkioxari, S Lee, I Essa, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Where are we in the search for an artificial visual cortex for embodied intelligence?
A Majumdar, K Yadav, S Arnaud, J Ma, C Chen, S Silwal, A Jain, ...
Advances in Neural Information Processing Systems 36, 2024
Thda: Treasure hunt data augmentation for semantic navigation
O Maksymets, V Cartillier, A Gokaslan, E Wijmans, W Galuba, S Lee, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Offline visual representation learning for embodied navigation
K Yadav, R Ramrakhya, A Majumdar, VP Berges, S Kuhar, D Batra, ...
Workshop on Reincarnating Reinforcement Learning at ICLR 2023, 2023
Waypoint models for instruction-guided navigation in continuous environments
J Krantz, A Gokaslan, D Batra, S Lee, O Maksymets
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Memory-augmented reinforcement learning for image-goal navigation
L Mezghan, S Sukhbaatar, T Lavril, O Maksymets, D Batra, P Bojanowski, ...
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
Habitat challenge 2022
K Yadav, SK Ramakrishnan, J Turner, A Gokaslan, O Maksymets, R Jain, ...
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
Habitat 3.0: A co-habitat for humans, avatars and robots
X Puig, E Undersander, A Szot, MD Cote, TY Yang, R Partsey, R Desai, ...
arXiv preprint arXiv:2310.13724, 2023
Is mapping necessary for realistic pointgoal navigation?
R Partsey, E Wijmans, N Yokoyama, O Dobosevych, D Batra, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Integrating egocentric localization for more realistic point-goal navigation agents
S Datta, O Maksymets, J Hoffman, S Lee, D Batra, D Parikh
Conference on Robot Learning, 313-328, 2021
Ovrl-v2: A simple state-of-art baseline for imagenav and objectnav
K Yadav, A Majumdar, R Ramrakhya, N Yokoyama, A Baevski, Z Kira, ...
arXiv preprint arXiv:2303.07798, 2023
Searching Online Social Networks Using Entity-based Embeddings
K Subbian, H Wang, O Maksymets
US Patent App. 15/782,475, 2019
Openeqa: Embodied question answering in the era of foundation models
A Majumdar, A Ajay, X Zhang, P Putta, S Yenamandra, M Henaff, S Silwal, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
Application of minimization algorithm for finite acyclic automata in finding condition’s basis for program invariant search
OM Maksymets
Proceedings of International Conference on Theoretical and Applied Aspects …, 2011
What do we learn from a large-scale study of pre-trained visual representations in sim and real environments?
S Silwal, K Yadav, T Wu, J Vakil, A Majumdar, S Arnaud, C Chen, ...
arXiv preprint arXiv:2310.02219, 2023
The system can't perform the operation now. Try again later.
Articles 1–20