jianxiongxiao.comJianxiong Xiao (Professor X)

Founder and CEO, AutoX Inc. (We are hiring!) Email: profxoffice [at] autox [dot] ai Homepage: www.jianxiongxiao.com GitHub: https://github.com/jianxiongxiao Professor X is my nickname. If you want to know more about my actual name: How to pronouce it? (click the [Speaker] button at the bottom left corner to hear the sound) In the Wade-Giles system of romanization, it is rendered as Chien-Shiung Hsiao . In Chinese characters, it is 肖健雄 (Simplified) or 蕭健雄 (Traditional). News: AutoX is recruiting researchers and engineers, as well as interns and post-docs. Join us to change the world together! Contact me if you are interested. Our joint team with MIT has won the 3rd and 4th place worldwide at the Amazon Picking Challenge 2016. Watch demo here . -- Brief Bio: Jianxiong Xiao (a.k.a., Professor X) is the Founder and CEO of AutoX , a world-leading company in self-driving car technologies. AutoX's mission is to democratize autonomy and enable autonomous driving to improve everyone's life. Dr. Xiao has over ten years of research and engineering experience in Computer Vision, Autonomous Driving, and Robotics. In particular, he is a pioneer in the fields of 3D Deep Learning, RGB-D Recognition and Mapping, Big Data, Large-scale Crowdsourcing, and Deep Learning for Robotics. Jianxiong received a BEng. and MPhil. in Computer Science from the Hong Kong University of Science and Technology in 2009. He received his Ph.D. from the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology (MIT) in 2013. And he was an Assistant Professor at Princeton University and the founding director of the Princeton Computer Vision and Robotics Labs from 2013 to 2016. His work has received the Best Student Paper Award at the European Conference on Computer Vision (ECCV) in 2012 and the Google Research Best Papers Award for 2012, and has appeared in the popular press. He was awarded the Google U.S./Canada Fellowship in Computer Vision in 2012, the MIT CSW Best Research Award in 2011, NSF/Intel VEC Research Award in 2016, and two Google Faculty Awards in 2014 and in 2015 respectively. He co-lead the MIT+Princeton joint team to participate in the Amazon Picking Challenge in 2016, and won the 3rd and 4th place worldwide. He was named to be one of the 35 Innovators Under 35 by MIT Technology Review in 2017. More information can be found at: http://www.jianxiongxiao.com . Awards: 12 of the Most Promising Entrepreneurs, Start-ups and Innovators to Keep an Eye on in 2018 (2018) -- MIT Technology Review 35 Under 35 (2017) Third and Fourth Place Worldwide at the Amazon Picking Challenge (2016) National Science Foundation / Intel Visual and Experiential Computing Awards (2016) Project X Awards (2015) Google Research Awards (2015) Marquis Who's Who in America (2015) -- Google Research Awards (2014) Google Research Best Papers Award (2013) ECCV 2012 Best Student Paper Award (2012) Google Fellowship in Computer Vision (2012) ACCV 2012 Best Reviewer Award (2012) MIT CSW Best Presentation Run-up (2012) MIT CSW Best Research Award (2011) HKUST Academic Achievement Medal (2007) Recent Public Speech: Apr 26, 2018 : The Global Mobile Internet Conference (GMIC), China National Conference Center, Beijing. Jan 14, 2018 : HunDun University. Jan 13, 2018 : SV CONNECT Conference. Nov 07, 2017 : EmTech MIT. Oct 28, 2017 : CASPA Annual Conference. Oct 28, 2017 : Workshop on Learning to See from 3D Data, ICCV. Oct 20, 2017 : Connected and Automated Vehicle Mobility Workshop (CarSys), ACM MobiCom. Oct 05, 2017 : Department Seminar, Arizona State University. Sep 27, 2017 : GTC China, Beijing. Sep 19, 2017 : Future Forum on Self-driving Vehicles, Beijing. Aug 23, 2017 : G-Summit, Pebble Beach. Aug 10, 2017 : Workshop on Machine Learning for Autonomous Vehicles, ICML. Aug 08, 2017 : J.P. Morgan Auto Conference, NYC. Jul 21, 2017 : Workshop on Visual Understanding for Interaction, CVPR. Jul 21, 2017 : Workshop on Deep Learning for Robotic Vision, CVPR. Jul 21, 2017 : Workshop on Autonomous Driving, CVPR. Jul 19, 2017 : Silicon Valley Future Forum. Jul 16, 2017 : RSS Workshop on Learning Action-perception Loops, MIT. May 24, 2017 : LDV Vision Summit, NYC. May 12, 2017 : AutoTech Council. May 12, 2017 : Hella Demo Day. May 06, 2017 : TieCon 2017 Keynote. Apr 26, 2017 : Fujitsu Lab. Apr 23, 2017 : Harvard China Forum, Harvard. Apr 19, 2017 : The Future of AI Tech Talk, Stanford. Mar 27, 2017 : EmTech Digital, MIT Tech Review. Mar 20, 2017 : UC Berkeley. Mar 12, 2017 : MSRA Alumni Silicon Valley Event, IngDan . Feb 16, 2017 : PP Mobility Initiatives. Feb 04, 2017 : AAAI Workshop on Artificial Intelligence for Connected and Automated Vehicles (AI-CVA). Feb 01, 2017 : Stanford Business School. Jan 20, 2017 : Global Artificial Intelligence Conference. Jan 09, 2017 : Samsung AI Summit. Dec 16, 2016 : World Autonomous Leadership Summit. Dec 09, 2016 : NIPS2016 workshop on Deep Learning for Action and Interaction, NIPS. Dec 09, 2016 : NIPS2016 workshop on Machine Learning for Intelligent Transportation Systems, NIPS. Nov 12, 2016 : MIT-CHIEF Annual Conference, MIT. Oct 28, 2016 : 3DV Workshop on Understanding 3D and Visuo-Motor Learning, Stanford. Oct 09, 2016 : ECCV Workshop on Recovering 6D Object Pose, ECCV. Oct 09, 2016 : ECCV Workshop on Geometry Meets Deep Learning, ECCV. Aug 21, 2016 : CASE workshop on Automation for Warehouse Logistics, CASE. Aug 10, 2016 : CogSci workshop on Physical and Social Scene Understanding, CogSci. Aug 06, 2016 : AI Tech Day @ Palo Alto . Jul 07, 2016 : Hunan University. Jun 26, 2016 : International Workshop on Computer Vision in Vehicle Technology . Jun 26, 2016 : 3D Deep Learning with Marvin . Jun 22, 2016 : Huawei's Wireless Strategy. Jun 19, 2016 : RSS Workshop on Deep Learning for Autonomous Robots . Jun 12, 2016 : HKUST. May 12, 2016 : Deep Learning Summit . Apr 07, 2016 : MIT CSAIL. Apr 06, 2016 : GPU Technology Conference (GTC). Apr 04, 2016 : Zoox. Mar 28, 2016 : Stanford University. Mar 25, 2016 : Siemens. Mar 18, 2016 : NVIDIA (Autonomous Driving). Mar 17, 2016 : VALSE Webinar. Feb 29, 2016 : CVPR AC Workshop. Feb 02, 2016 : Center of Imaging Science, Johns Hopkins University. Dec 17, 2015 : ICCV Workshop on 3D Representation and Recognition (3dRR) 2015 . Dec 07, 2015 : Department of Cognitive Science, UCSD. Dec 04, 2015 : Qualcomm, San Diego. Dec 03, 2015 : NSF/Intel Visual and Experiential Computing. Aug 27, 2015 : Conference Keynote, CAD/Graphics 2015 . Jun 12, 2015 : BigVision 2015: Workshop on Large Scale Visual Recognition and Retrieval . Jun 12, 2015 : CVPR Workshop on 3D from a Single Image . Jun 03, 2015 : Graphics Interface (GI) 2015 . May 27, 2015 : Deep Learning Summit . Apr 10, 2015 : DARPA Workshop at DC. Mar 26, 2015 : NYC Computer Vision Meetup . Mar 04, 2015 : ECE Department Seminar, The University of Texas at Austin . -- Source Code: Professor X Toolkit : an open-source software library including a diverse set of functions that are useful and non-trivial to implement for fast-prototyping. SFMedu : A Matlab-based Structrue From Motion for 3D reconstruction. SUN3Dsfm : RGB-D SLAM using Generalized Bundle Adjustment. Marvin : A Minimalist GPU-only N-Dimensional ConvNets Framework. DrawMe : A Javascript-based Image Annotator for Large-scale Crowd-sourcing. Publications: Google Scholar · Bibtex · DBLP A. Seff, J. Xiao. Learning from Maps: Visual Common Sense for Autonomous Driving arxiv:1611.08583 Paper · Project Webpage · Source Code · MIT Tech Review · Singularity Hub Y. Zhang, M. Bai, P. Kohli, S. Izadi, and J. Xiao DeepContext: Context-Encoding Neural Pathways for 3D Holistic Scene Understanding Proceedings of 16th IEEE International Conference on Computer Vision ( ICCV2017 ) Paper · Project Webpage A. Zeng, S. Song, M. Nießner, M. Fisher, and J. Xiao. 3DMatch: Learning the Matching of Local 3D Geometry in Range Scans Proceedings of 30th IEEE Conference on Computer Vision and Pattern Recognition ( CVPR2017 )...