| Housekeep: Tidying virtual households using commonsense reasoning Y Kant, A Ramachandran, S Yenamandra, I Gilitschenski, D Batra, A Szot, ... European Conference on Computer Vision, 355-373, 2022 | 64 | 2022 |
| Homerobot: Open-vocabulary mobile manipulation S Yenamandra, A Ramachandran, K Yadav, A Wang, M Khanna, T Gervet, ... arXiv preprint arXiv:2306.11565, 2023 | 57 | 2023 |
| 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 | 32 | 2024 |
| Goat: Go to any thing M Chang, T Gervet, M Khanna, S Yenamandra, D Shah, SY Min, K Shah, ... arXiv preprint arXiv:2311.06430, 2023 | 30 | 2023 |
| Lance: Stress-testing visual models by generating language-guided counterfactual images V Prabhu, S Yenamandra, P Chattopadhyay, J Hoffman Advances in Neural Information Processing Systems 36, 25165-25184, 2023 | 17 | 2023 |
| Adapting self-supervised vision transformers by probing attention-conditioned masking consistency V Prabhu, S Yenamandra, A Singh, J Hoffman Advances in Neural Information Processing Systems 35, 23271-23283, 2022 | 14 | 2022 |
| The homerobot open vocab mobile manipulation challenge S Yenamandra, A Ramachandran, M Khanna, K Yadav, DS Chaplot, ... Thirty-seventh conference on neural information processing systems …, 2023 | 10 | 2023 |
| Facts: First amplify correlations and then slice to discover bias S Yenamandra, P Ramesh, V Prabhu, J Hoffman Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 8 | 2023 |
| Goat-bench: A benchmark for multi-modal lifelong navigation M Khanna, R Ramrakhya, G Chhablani, S Yenamandra, T Gervet, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 4 | 2024 |
| Semi-Supervised Deep Expectation-Maximization for Low-Dose Pet-Ct V Sharma, A Khurana, S Yenamandra, SP Awate 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 3 | 2022 |
| FaaSter: Accelerated Functions-as-a-Service with Heterogeneous GPUs A Garg, P Kulkarni, U Bellur, S Yenamandra 2021 IEEE 28th International Conference on High Performance Computing, Data …, 2021 | 2 | 2021 |
| Learning image inpainting from incomplete images using self-supervision S Yenamandra, A Khurana, R Jena, SP Awate 2020 25th International Conference on Pattern Recognition (ICPR), 10390-10397, 2021 | 2 | 2021 |
| Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge S Yenamandra, A Ramachandran, M Khanna, K Yadav, J Vakil, A Melnik, ... arXiv preprint arXiv:2407.06939, 2024 | | 2024 |
| HomeRobot: An Open Source Software Stack for Mobile Manipulation Research C Paxton, A Wang, B Shah, B Matulevich, D Shah, K Yadav, ... Proceedings of the AAAI Symposium Series 2 (1), 518-525, 2023 | | 2023 |
| Supplemental Material for Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency V Prabhu, S Yenamandra, A Singh, J Hoffman | | |
Dhruv BatraGeorgia Tech | Prev: FAIR (Meta AI)在 gatech.edu 的电子邮件经过验证
