متابعة
Jiayuan Mao
Jiayuan Mao
MIT CSAIL
بريد إلكتروني تم التحقق منه على mit.edu - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
11522018
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
8692019
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
3282019
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
38*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
372023
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
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
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
202023
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, 38798-38814, 2023‏
192023
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مقالات 1–20