The ycb object and model set: Towards common benchmarks for manipulation research B Calli, A Singh, A Walsman, S Srinivasa, P Abbeel, AM Dollar 2015 international conference on advanced robotics (ICAR), 510-517, 2015 | 783 | 2015 |
Benchmarking in manipulation research: Using the Yale-CMU-Berkeley object and model set B Calli, A Walsman, A Singh, S Srinivasa, P Abbeel, AM Dollar IEEE Robotics & Automation Magazine 22 (3), 36-52, 2015 | 497 | 2015 |
Yale-CMU-Berkeley dataset for robotic manipulation research B Calli, A Singh, J Bruce, A Walsman, K Konolige, S Srinivasa, P Abbeel, ... The International Journal of Robotics Research 36 (3), 261-268, 2017 | 351 | 2017 |
Benchmarking in manipulation research: The ycb object and model set and benchmarking protocols B Calli, A Walsman, A Singh, S Srinivasa, P Abbeel, AM Dollar arXiv preprint arXiv:1502.03143, 2015 | 286 | 2015 |
Chalet: Cornell house agent learning environment C Yan, D Misra, A Bennnett, A Walsman, Y Bisk, Y Artzi arXiv preprint arXiv:1801.07357, 2018 | 101 | 2018 |
HERB's Sure Thing: A rapid drama system for rehearsing and performing live robot theater G Zeglin, A Walsman, L Herlant, Z Zheng, Y Guo, MC Koval, K Lenzo, ... 2014 IEEE International Workshop on Advanced Robotics and its Social Impacts …, 2014 | 27 | 2014 |
Amodal 3d reconstruction for robotic manipulation via stability and connectivity W Agnew, C Xie, A Walsman, O Murad, Y Wang, P Domingos, S Srinivasa Conference on Robot Learning, 1498-1508, 2021 | 21 | 2021 |
Early fusion for goal directed robotic vision A Walsman, Y Bisk, S Gabriel, D Misra, Y Artzi, Y Choi, D Fox 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 11 | 2019 |
Dynamic high resolution deformable articulated tracking A Walsman, W Wan, T Schmidt, D Fox 2017 International Conference on 3D Vision (3DV), 38-47, 2017 | 10 | 2017 |
In the wild: From ml models to pragmatic ml systems M Wallingford, A Kusupati, K Alizadeh-Vahid, A Walsman, A Kembhavi, ... | 8 | 2020 |
Ycb benchmarking project: Object set, data set and their applications B Calli, A Singh, J Bruce, A Walsman, K Konolige, SS SRINIVASA, ... Journal of The Society of Instrument and Control Engineers 56 (10), 792-797, 2017 | 8 | 2017 |
Impossibly good experts and how to follow them A Walsman, M Zhang, S Choudhury, D Fox, A Farhadi The Eleventh International Conference on Learning Representations, 2022 | 7 | 2022 |
Entl: Embodied navigation trajectory learner K Kotar, A Walsman, R Mottaghi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 5 | 2023 |
Break and make: Interactive structural understanding using lego bricks A Walsman, M Zhang, K Kotar, K Desingh, A Farhadi, D Fox European Conference on Computer Vision, 90-107, 2022 | 4 | 2022 |
URDFormer: Constructing interactive Realistic Scenes from Real Images via Simulation and Generative Modeling Q Chen, M Memmel, A Fang, A Walsman, D Fox, A Gupta Towards Generalist Robots: Learning Paradigms for Scalable Skill Acquisition …, 2023 | 3 | 2023 |
Are we overfitting to experimental setups in recognition M Wallingford, A Kusupati, K Alizadeh-Vahid, A Walsman, A Kembhavi, ... arXiv preprint arXiv:2007.02519, 2020 | 3 | 2020 |
Part segmentation for highly accurate deformable tracking in occlusions via fully convolutional neural networks W Wan, A Walsman, D Fox 2019 International Conference on Robotics and Automation (ICRA), 4882-4888, 2019 | 3 | 2019 |
FLUID: A unified evaluation framework for flexible sequential data M Wallingford, A Kusupati, K Alizadeh-Vahid, A Walsman, A Kembhavi, ... arXiv preprint arXiv:2007.02519, 2020 | 2 | 2020 |
LegoTron: An environment for interactive structural understanding A Walsman, M Zhang, A Fishman, K Desingh, D Fox, A Farhadi CVPR Workshpo on Embodied AI 3, 2021 | 1 | 2021 |
Curating Visual Information in Sequential Decision Making Problems A Walsman University of Washington, 2023 | | 2023 |