Danfei Xu

I am currently a CS Ph.D. candidate at Stanford University. I am advised by Silvio Savarese and Fei-Fei Li who co-lead the Stanford Vision and Learning Lab. My recent research interests are robotic learning and 3D computer vision.

My research goal is to bridge the gap between perception and control for robots. I also have broad interests in applied areas such as autonomous driving and assistive/industrial robot. Before joining Stanford, I recevied my B.S. at Columbia Univeristy.

Email / Google Scholar / Github

Research

	Neural Task Programming: Learning to Generalize Across Hierarchical Tasks Danfei Xu, Suraj Nair, Yuke Zhu, Julian Gao, Animesh Garg, Li Fei-Fei, Silvio Savarese ICRA, 2018 (to appear) [website] Neural Task Programming (NTP) is a meta-learning framework that learns to generate robot-executable neural programs from task demonstration video.
	PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation Danfei Xu, Ashesh Jain, Dragomir Anguelov CVPR , 2018 (to appear) PointFusion performs 3D object detection by fusing raw point cloud and RGB image and predicting 3D object bounding boxes end-to-end. PointFusion works both in outdoor urban driving scenarios and indoor scenes.
	Scene Graph Generation by Iterative Message Passing Danfei Xu, Yuke Zhu, Christopher B. Choy, Li Fei-Fei CVPR, 2017 [website] [code] 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.
	3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction Christopher B. Choy, Danfei Xu, JunYoung Gwak, Silvio Savarese ECCV, 2016 [website] [code] We propose an end-to-end 3D reconstruction model that unifies single- and multi-view reconstruction.
	Model-Driven Feed-Forward Prediction for Manipulation of Deformable Objects Yinxiao Li , Yan Wang , Yonghao Yue , Danfei Xu, Michael Case , Shih-Fu Chang , Eitan Grinspun , Peter K. Allen IEEE TASE, 2016 [website] Deformable object manipulation with an application of personal assitive robot. This is the journal paper of our "laundry robot" series: ICRA 2015 - IROS 2015 - ICRA 2016
	Topometric localization on a road network Danfei Xu, Hernan Badino, Daniel Huber IROS, 2015 Vision-based localization on a probabilistic road network.
	Tactile identification of objects using Bayesian exploration Danfei Xu, Gerald E. Loebm Jeremy Fishel ICRA, 2013 Object classification using multi-modal tactile sensing.

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