| 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 | 948 | 2018 |
| 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 | 665 | 2019 |
| What can help pedestrian detection? J Mao, T Xiao, Y Jiang, Z Cao Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 324 | 2017 |
| Neural logic machines H Dong, J Mao, T Lin, C Wang, L Li, D Zhou arXiv preprint arXiv:1904.11694, 2019 | 258 | 2019 |
| 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 | 146 | 2019 |
| 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 | 80* | 2021 |
| Visually grounded neural syntax acquisition H Shi, J Mao, K Gimpel, K Livescu arXiv preprint arXiv:1906.02890, 2019 | 75 | 2019 |
| Visual concept-metaconcept learning C Han, J Mao, C Gan, J Tenenbaum, J Wu Advances in Neural Information Processing Systems 32, 2019 | 65 | 2019 |
| Learning visually-grounded semantics from contrastive adversarial samples H Shi, J Mao, T Xiao, Y Jiang, J Sun arXiv preprint arXiv:1806.10348, 2018 | 44 | 2018 |
| 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 | 19 | 2019 |
| Target detection method and device, neural network training method and device X Tete, MAO Jiayuan US Patent 10,671,919, 2020 | 18 | 2020 |
| Object-centric diagnosis of visual reasoning J Yang, J Mao, J Wu, D Parikh, DD Cox, JB Tenenbaum, C Gan arXiv preprint arXiv:2012.11587, 2020 | 17 | 2020 |
| 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 | 12 | 2022 |
| Multi-plane program induction with 3d box priors Y Li, J Mao, X Zhang, B Freeman, J Tenenbaum, N Snavely, J Wu Advances in Neural Information Processing Systems 33, 7425-7436, 2020 | 12 | 2020 |
| Perspective plane program induction from a single image Y Li, J Mao, X Zhang, WT Freeman, JB Tenenbaum, J Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 12 | 2020 |
| 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 | 10 | 2022 |
| 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 | 9 | 2023 |
| Grammar-based grounded lexicon learning J Mao, F Shi, J Wu, R Levy, J Tenenbaum Advances in Neural Information Processing Systems 34, 7865-7878, 2021 | 9 | 2021 |
| Hierarchical motion understanding via motion programs S Kulal, J Mao, A Aiken, J Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 9 | 2021 |
| Neurally-guided structure inference S Lu, J Mao, J Tenenbaum, J Wu International Conference on Machine Learning, 4144-4153, 2019 | 9 | 2019 |
Jiajun WuStanford UniversityZweryfikowany adres z cs.stanford.edu
