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Jiayuan Mao
Jiayuan Mao
MIT CSAIL
Подтвержден адрес электронной почты в домене mit.edu - Главная страница
Название
Процитировано
Процитировано
Год
Acquisition of localization confidence for accurate object detection
B Jiang, R Luo, J Mao, T Xiao, Y Jiang
Proceedings of the European conference on computer vision (ECCV), 784-799, 2018
11582018
The neuro-symbolic concept learner: Interpreting scenes, words, and sentences from natural supervision
J Mao, C Gan, P Kohli, JB Tenenbaum, J Wu
arXiv preprint arXiv:1904.12584, 2019
8712019
What can help pedestrian detection?
J Mao, T Xiao, Y Jiang, Z Cao
Proceedings of the IEEE conference on computer vision and pattern …, 2017
3582017
Neural logic machines
H Dong, J Mao, T Lin, C Wang, L Li, D Zhou
arXiv preprint arXiv:1904.11694, 2019
3302019
Unified visual-semantic embeddings: Bridging vision and language with structured meaning representations
H Wu, J Mao, Y Zhang, Y Jiang, L Li, W Sun, WY Ma
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
2112019
Grounding physical object and event concepts through dynamic visual reasoning
Z Chen, J Mao, J Wu, KYK Wong, JB Tenenbaum, C Gan
International Conference on Learning Representations, 2021
105*2021
Visually grounded neural syntax acquisition
H Shi, J Mao, K Gimpel, K Livescu
arXiv preprint arXiv:1906.02890, 2019
882019
Visual concept-metaconcept learning
C Han, J Mao, C Gan, J Tenenbaum, J Wu
Advances in Neural Information Processing Systems 32, 2019
792019
Learning visually-grounded semantics from contrastive adversarial samples
H Shi, J Mao, T Xiao, Y Jiang, J Sun
arXiv preprint arXiv:1806.10348, 2018
552018
Ns3d: Neuro-symbolic grounding of 3d objects and relations
J Hsu, J Mao, J Wu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
432023
Learning to act from actionless videos through dense correspondences
PC Ko, J Mao, Y Du, SH Sun, JB Tenenbaum
arXiv preprint arXiv:2310.08576, 2023
422023
PDSketch: Integrated domain programming, learning, and planning
J Mao, T Lozano-Pérez, J Tenenbaum, L Kaelbling
Advances in Neural Information Processing Systems 35, 36972-36984, 2022
39*2022
Programmatically grounded, compositionally generalizable robotic manipulation
R Wang, J Mao, J Hsu, H Zhao, J Wu, Y Gao
arXiv preprint arXiv:2304.13826, 2023
382023
Program-guided image manipulators
J Mao, X Zhang, Y Li, WT Freeman, JB Tenenbaum, J Wu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
242019
Learning Adaptive Planning Representations with Natural Language Guidance
L Wong, J Mao, P Sharma, ZS Siegel, J Feng, N Korneev, JB Tenenbaum, ...
arXiv preprint arXiv:2312.08566, 2023
222023
Compositional diffusion-based continuous constraint solvers
Z Yang, J Mao, Y Du, J Wu, JB Tenenbaum, T Lozano-Pérez, ...
arXiv preprint arXiv:2309.00966, 2023
212023
Translating a visual lego manual to a machine-executable plan
R Wang, Y Zhang, J Mao, CY Cheng, J Wu
European Conference on Computer Vision, 677-694, 2022
212022
FALCON: fast visual concept learning by integrating images, linguistic descriptions, and conceptual relations
L Mei, J Mao, Z Wang, C Gan, JB Tenenbaum
arXiv preprint arXiv:2203.16639, 2022
212022
CLEVRER-Humans: Describing physical and causal events the human way
J Mao, X Yang, X Zhang, N Goodman, J Wu
Advances in Neural Information Processing Systems 35, 7755-7768, 2022
202022
What’s left? concept grounding with logic-enhanced foundation models
J Hsu, J Mao, J Tenenbaum, J Wu
Advances in Neural Information Processing Systems 36, 2024
192024
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