| La-MAML: Look-ahead Meta Learning for Continual Learning G Gupta*, K Yadav*, L Paull Conference on Neural Information Processing Systems 2020 (Oral), 2020 | 137* | 2020 |
| Habitat-Matterport 3D Semantics Dataset K Yadav*, R Ramrakhya*, SK Ramakrishnan*, T Gervet, J Turner, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 127* | 2022 |
| Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence? A Majumdar*, K Yadav*, S Arnaud*, YJ Ma, C Chen, S Silwal, A Jain, ... Advances in Neural Information Processing Systems 36, 2023 | 126 | 2023 |
| HomeRobot: Open-Vocabulary Mobile Manipulation S Yenamandra*, A Ramachandran*, K Yadav*, A Wang, M Khanna, ... Conference on Robot Learning (CoRL) 2023, 2023 | 85* | 2023 |
| Offline Visual Representation Learning for Embodied Navigation K Yadav, R Ramrakhya, A Majumdar, VP Berges, S Kuhar, D Batra, ... https://arxiv.org/pdf/2204.13226.pdf, 2022 | 77 | 2022 |
| OpenEQA: Embodied Question Answering in the Era of Foundation Models A Majumdar, A Ajay, X Zhang, P Putta, S Yenamandra, M Henaff, S Silwal, ... Conference on Computer Vision and Pattern Recognition 2024, 2024 | 69 | 2024 |
| OVRL-V2: A simple state-of-art baseline for ImageNav and ObjectNav K Yadav*, A Majumdar*, R Ramrakhya, N Yokoyama, Z Kira, A Baevski, ... https://arxiv.org/abs/2303.07798, 2023 | 37 | 2023 |
| Last-Mile Embodied Visual Navigation J Wasserman, K Yadav, G Chowdhary, A Gupta, U Jain 6th Annual Conference on Robot Learning, 2022 | 32 | 2022 |
| Navigating to Objects Specified by Images J Krantz, T Gervet, K Yadav, A Wang, C Paxton, R Mottaghi, D Batra, ... https://arxiv.org/abs/2304.01192, 2023 | 30 | 2023 |
| Habitat rearrangement challenge 2022 A Szot, K Yadav, A Clegg, VP Berges, A Gokaslan, A Chang, M Savva, ... Habitat rearrangement challenge 2022, 2022 | 14 | 2022 |
| Learning to Prevent Monocular SLAM Failure using Reinforcement Learning V Prasad*, K Yadav*, RS Saurabh, S Daga, N Pareekutty, KM Krishna, ... Proceedings of the Eleventh Indian Conference on Computer Vision, Graphics …, 2018 | 5 | 2018 |
| 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 | 4 | 2024 |
| 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, ... https://arxiv.org/pdf/2310.02219.pdf, 2023 | 3 | 2023 |
| Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control G Gupta, K Yadav, Y Gal, D Batra, Z Kira, C Lu, TGJ Rudner Advances in Neural Information Processing Systems 37, 2024 | 1 | 2024 |
| ReLIC: A recipe for 64k steps In-Context Reinforcement Learning for Embodied AI A Elawady, G Chhablani, R Ramrakhya, K Yadav, D Batra, Z Kira, A Zsolt https://ram81.github.io/docs/papers/relic.pdf, 2024 | | 2024 |
Dhruv BatraGeorgia Tech | Prev: FAIR (Meta AI)Email confirmado em gatech.edu
