| Visual genome: Connecting language and vision using crowdsourced dense image annotations R Krishna, Y Zhu, O Groth, J Johnson, K Hata, J Kravitz, S Chen, ... URL http://arxiv. org/abs/1602.07332, 2016 | 1733 | 2016 |
| Target-driven visual navigation in indoor scenes using deep reinforcement learning Y Zhu, R Mottaghi, E Kolve, JJ Lim, A Gupta, L Fei-Fei, A Farhadi 2017 IEEE international conference on robotics and automation (ICRA), 3357-3364, 2017 | 860 | 2017 |
| Visual7W: Grounded question answering in images Y Zhu, O Groth, M Bernstein, L Fei-Fei arXiv preprint arXiv:1511.03416, 2015 | 522 | 2015 |
| Scene graph generation by iterative message passing D Xu, Y Zhu, CB Choy, L Fei-Fei Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 444 | 2017 |
| Reasoning about object affordances in a knowledge base representation Y Zhu, A Fathi, L Fei-Fei European conference on computer vision, 408-424, 2014 | 215 | 2014 |
| DenseFusion: 6D object pose estimation by iterative dense fusion C Wang, D Xu, Y Zhu, R Martín-Martín, C Lu, L Fei-Fei, S Savarese Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 200 | 2019 |
| AI2-THOR: An interactive 3D environment for visual AI E Kolve, R Mottaghi, D Gordon, Y Zhu, A Gupta, A Farhadi arXiv preprint arXiv:1712.05474, 2017 | 185 | 2017 |
| Reinforcement and imitation learning for diverse visuomotor skills Y Zhu, Z Wang, J Merel, A Rusu, T Erez, S Cabi, S Tunyasuvunakool, ... arXiv preprint arXiv:1802.09564, 2018 | 146 | 2018 |
| Making sense of vision and touch: Self-supervised learning of multimodal representations for contact-rich tasks MA Lee, Y Zhu, K Srinivasan, P Shah, S Savarese, L Fei-Fei, A Garg, ... 2019 International Conference on Robotics and Automation (ICRA), 8943-8950, 2019 | 108 | 2019 |
| Visual semantic planning using deep successor representations Y Zhu, D Gordon, E Kolve, D Fox, L Fei-Fei, A Gupta, R Mottaghi, ... Proceedings of the IEEE international conference on computer vision, 483-492, 2017 | 92 | 2017 |
| Neural task programming: Learning to generalize across hierarchical tasks D Xu, S Nair, Y Zhu, J Gao, A Garg, L Fei-Fei, S Savarese 2018 IEEE International Conference on Robotics and Automation (ICRA), 3795-3802, 2018 | 91 | 2018 |
| Action recognition by hierarchical mid-level action elements T Lan, Y Zhu, AR Zamir, S Savarese Proceedings of the IEEE international conference on computer vision, 4552-4560, 2015 | 75 | 2015 |
| Learning task-oriented grasping for tool manipulation from simulated self-supervision K Fang, Y Zhu, A Garg, A Kurenkov, V Mehta, L Fei-Fei, S Savarese The International Journal of Robotics Research 39 (2-3), 202-216, 2020 | 66 | 2020 |
| Surreal: Open-source reinforcement learning framework and robot manipulation benchmark L Fan, Y Zhu, J Zhu, Z Liu, O Zeng, A Gupta, J Creus-Costa, S Savarese, ... Conference on Robot Learning, 767-782, 2018 | 66 | 2018 |
| Building a Large-scale Multimodal Knowledge Base System for Answering Visual Queries Y Zhu, C Zhang, C Ré, L Fei-Fei arXiv preprint arXiv:1507.05670 6, 2015 | 64 | 2015 |
| RoboTurk: A crowdsourcing platform for robotic skill learning through imitation A Mandlekar, Y Zhu, A Garg, J Booher, M Spero, A Tung, J Gao, ... arXiv preprint arXiv:1811.02790, 2018 | 53 | 2018 |
| Adversarially robust policy learning: Active construction of physically-plausible perturbations. In 2017 IEEE A Mandlekar, Y Zhu, A Garg, L Fei-Fei, S Savarese RSJ International Conference on Intelligent Robots and Systems (IROS), 3932-3939, 2017 | 49* | 2017 |
| Adversarially Robust Policy Learning: Active Construction of Physically-Plausible Perturbations A Mandlekar, Y Zhu, A Garg, L Fei-Fei, S Savarese IEEE Int’l Conf. on Intelligent Robots and Systems (IROS), 2017 | 49 | 2017 |
| Neural task graphs: Generalizing to unseen tasks from a single video demonstration DA Huang, S Nair, D Xu, Y Zhu, A Garg, L Fei-Fei, S Savarese, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 41 | 2019 |
| Knowledge Acquisition for Visual Question Answering via Iterative Querying Y Zhu, JJ Lim, L Fei-Fei CVPR, 2017 | 30 | 2017 |
Li Fei-FeiProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
