Andrei Barbu
Andrei Barbu
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Cited by
Objectnet: A large-scale bias-controlled dataset for pushing the limits of object recognition models
A Barbu, D Mayo, J Alverio, W Luo, C Wang, D Gutfreund, J Tenenbaum, ...
Advances in neural information processing systems 32, 2019
Recognize human activities from partially observed videos
Y Cao, D Barrett, A Barbu, S Narayanaswamy, H Yu, A Michaux, Y Lin, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2013
Video in sentences out
A Barbu, A Bridge, Z Burchill, D Coroian, S Dickinson, S Fidler, A Michaux, ...
UAI 2012, 2012
Measuring social biases in grounded vision and language embeddings
C Ross, B Katz, A Barbu
arXiv preprint arXiv:2002.08911, 2020
A compositional framework for grounding language inference, generation, and acquisition in video
H Yu, N Siddharth, A Barbu, JM Siskind
Journal of Artificial Intelligence Research 52, 601-713, 2015
Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas
YL Kuo, B Katz, A Barbu
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
Temporal grounding graphs for language understanding with accrued visual-linguistic context
R Paul, A Barbu, S Felshin, B Katz, N Roy
arXiv preprint arXiv:1811.06966, 2018
Seeing what you're told: Sentence-guided activity recognition in video
N Siddharth, A Barbu, J Mark Siskind
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
Correlating videos and sentences
JM Siskind, A Barbu, S Narayanaswamy, H Yu
US Patent 9,183,466, 2015
Seeing is Worse than Believing: Reading People’s Minds Better than Computer-Vision Methods Recognize Actions
A Barbu, DP Barrett, W Chen, N Siddharth, C Xiong, JJ Corso, ...
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
Do You See What I Mean? Visual Resolution of Linguistic Ambiguities
Y Berzak, A Barbu, D Harari, B Katz, S Ullman
Conference on Empirical Methods in Natural Language Processing (EMNLP), 1477 …, 2015
Anchoring and agreement in syntactic annotations
Y Berzak, Y Huang, A Barbu, A Korhonen, B Katz
arXiv preprint arXiv:1605.04481, 2016
Learning a natural-language to LTL executable semantic parser for grounded robotics
C Wang, C Ross, YL Kuo, B Katz, A Barbu
Conference on Robot Learning, 1706-1718, 2021
Phase: Physically-grounded abstract social events for machine social perception
A Netanyahu, T Shu, B Katz, A Barbu, JB Tenenbaum
Proceedings of the aaai conference on artificial intelligence 35 (1), 845-853, 2021
Learning physically-instantiated game play through visual observation
A Barbu, S Narayanaswamy, JM Siskind
2010 IEEE International Conference on Robotics and Automation, 1879-1886, 2010
Simultaneous object detection, tracking, and event recognition
A Barbu, A Michaux, S Narayanaswamy, JM Siskind
ACS 2012, 2012
Deep compositional robotic planners that follow natural language commands
YL Kuo, B Katz, A Barbu
2020 IEEE international conference on robotics and automation (ICRA), 4906-4912, 2020
Deep sequential models for sampling-based planning
YL Kuo, A Barbu, B Katz
IROS 2018, 2018
Neural regression, representational similarity, model zoology & neural taskonomy at scale in rodent visual cortex
C Conwell, D Mayo, A Barbu, M Buice, G Alvarez, B Katz
Advances in Neural Information Processing Systems 34, 5590-5607, 2021
Social interactions as recursive MDPs
R Tejwani, YL Kuo, T Shu, B Katz, A Barbu
Conference on Robot Learning, 949-958, 2022
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