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I am a Ph.D. student in CS at Stanford University. My advisors are Fei-Fei Li and Silvio Savarese who co-lead the Stanford Vision and Learning Lab. My research focuses on compositional and generalizable structures in robotics and vision. Prior to joining Stanford, I received my B.S. from Columbia University (2015). I've worked/interned at DeepMind UK (2019), ZOOX (2017), Autodesk Research (2016), CMU RI (2014), and Columbia Robotics Lab (2013-2015). Email / Google Scholar / CV (Jan 2019) / Github / Twitter |
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Danfei Xu, Misha Denil NeurIPS Deep Reinforcement Learning Workshop, 2019 An algorithm framework that simultaneously addresses the reward delusion problem in supervised reward learning and the overfitting discriminator problem in adversarial imitation learning. |
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Chen Wang, Roberto Martin-Martin, Danfei Xu, Jun Lv, Cewu Lu, Li Fei-Fei, Silvio Savarese, Yuke Zhu arXiv Preprint, 2019 Real-time category-level 6D object tracking from RGB-D data. |
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Danfei Xu, Roberto Martin-Martin, De-An Huang, Yuke Zhu, Silvio Savarese, Li Fei-Fei NeurIPS, 2019 A flexible neural network architecture for learning to plan from video demonstrations. |
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De-An Huang, Danfei Xu, Yuke Zhu, Silvio Savarese, Li Fei-Fei, Juan Carlos Niebles IROS , 2019 One-shot imitation learning via hybrid neural-symbolic planning. |
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William B. Shen, Danfei Xu, Yuke Zhu, Leonidas Guibas, Li Fei-Fei, Silvio Savarese ICCV , 2019 Learning generalizable navigation policy from mid-level visual representations. |
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Chen Wang, Danfei Xu, Yuke Zhu, Roberto Martin-Martin, Cewu Lu, Li Fei-Fei, Silvio Savarese CVPR, 2019 Dense RGB-depth sensor fusion for 6D object pose estimation. |
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De-An Huang*, Suraj Nair*, Danfei Xu*, Yuke Zhu, Animesh Garg, Li Fei-Fei, Silvio Savarese, Juan Carlos Niebles CVPR, 2019 (Oral) Generate executable task graphs from video demonstrations. |
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Danfei Xu*, Suraj Nair*, Yuke Zhu, Julian Gao, Animesh Garg, Li Fei-Fei, Silvio Savarese ICRA, 2018 [website] [video] [Two Minute Papers] Neural Task Programming (NTP) is a meta-learning framework that learns to generate robot-executable neural programs from task demonstration video. |
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Danfei Xu, Ashesh Jain, Dragomir Anguelov CVPR, 2018 End-to-end 3D Bounding Box Estimation via sensor fusion. |
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Danfei Xu, Yuke Zhu, Christopher B. Choy, Li Fei-Fei CVPR, 2017 We propose an end-to-end model that jointly infers object category, location, and relationships. The model learns to iteratively improve its prediction by passing messages on a scene graph. |
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Christopher B. Choy, Danfei Xu*, JunYoung Gwak*, Silvio Savarese ECCV, 2016 We propose an end-to-end 3D reconstruction model that unifies single- and multi-view reconstruction. |
 
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Yinxiao Li , Yan Wang , Yonghao Yue , Danfei Xu, Michael Case , Shih-Fu Chang , Eitan Grinspun , Peter K. Allen IEEE TASE, 2016 Deformable object manipulation with an application of personal assitive robot. This is the journal paper of our "laundry robot" series: |
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Danfei Xu, Hernan Badino, Daniel Huber IROS, 2015 Vision-based localization on a probabilistic road network. |
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Danfei Xu, Gerald E. Loeb, Jeremy Fishel ICRA, 2013 Object classification using multi-modal tactile sensing. |
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