A spoken language dataset of descriptions for speech-based grounded language learning GY Kebe, P Higgins, P Jenkins, K Darvish, R Sachdeva, R Barron, ... Advances in neural information processing systems, 2021 | 18 | 2021 |
Towards making virtual human-robot interaction a reality P Higgins, GY Kebe, A Berlier, K Darvish, D Engel, F Ferraro, C Matuszek Proc. of the 3rd International Workshop on Virtual, Augmented, and Mixed …, 2021 | 18 | 2021 |
Learning Object Attributes with Category-Free Grounded Language from Deep Featurization LE Richards, K Darvish, C Matuszek IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 | 10 | 2020 |
Practical cross-modal manifold alignment for robotic grounded language learning AT Nguyen, LE Richards, GY Kebe, E Raff, K Darvish, F Ferraro, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 8 | 2021 |
Presentation and analysis of a multimodal dataset for grounded language learning P Jenkins, R Sachdeva, GY Kebe, P Higgins, K Darvish, E Raff, D Engel, ... arXiv preprint arXiv:2007.14987, 2020 | 5 | 2020 |
Practical cross-modal manifold alignment for grounded language AT Nguyen, LE Richards, GY Kebe, E Raff, K Darvish, F Ferraro, ... arXiv preprint arXiv:2009.05147, 2020 | 2 | 2020 |
A Manifold Alignment Approach to Grounded Language Learning LE Richards, AT Nguyen, K Darvish, E Raff, C Matuszek | 2 | 2019 |
Discriminative and generative transformer-based models for situation entity classification M Rezaee, K Darvish, GY Kebe, F Ferraro arXiv preprint arXiv:2109.07434, 2021 | 1 | 2021 |
Multimodal Language Learning for Object Retrieval in Low Data Regimes in the Face of Missing Modalities K Darvish, E Raff, F Ferraro, C Matuszek Transactions on Machine Learning Research, 2023 | | 2023 |