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词条 Draft:Jason J. Corso
释义

  1. Biography / Professional History

  2. Research Work

  3. Selected awards and distinctions

  4. Selected Publications

  5. Media

  6. Talks

  7. References

  8. External links

Jason Joseph Corso is an associate professor of Computer Science in the University of Michigan College of Engineering, and Co-Founder / CEO of the computer vision startup Voxel51[1].

Biography / Professional History

Jason J. Corso received his PhD and MSE degrees in Computer Science at The Johns Hopkins University in 2005 and 2002, respectively, and the BS Degree with honors from Loyola College, Maryland, in 2000. From 2007 to 2014 he was a member of the Computer Science and Engineering faculty at SUNY Buffalo.  He is the recipient of a University of Michigan EECS Outstanding Achievement Award 2018, Google Faculty Research Award 2015, the Army Research Office Young Investigator Award 2010, NSF CAREER award 2009, SUNY Buffalo Young Investigator Award 2011, a member of the 2009 DARPA Computer Science Study Group, and a recipient of the Link Foundation Fellowship in Advanced Simulation and Training 2003. He is a member of the AAAI, ACM, MAA and a senior member of the IEEE. Jason J. Corso is affiliated to [https://robotics.umich.edu/profile/jason-corso/ Michigan Robotics] and the Artificial Intelligence Laboratory at the University of Michigan.

Research Work

Jason J. Corso focuses on cognitive computer vision and its entanglement with language, physical constraints, robotics, autonomy, and the semantics of the natural world, both in corner-cases and at scale. His research work is mainly focused on high-level computer vision and its relationship to human language, robotics and data science.

Selected awards and distinctions

EECS Outstanding Achievement Award 2018

University of Michigan, Department of Electrical Engineering and Computer Science

Best Associate Editor Award for ICRA 2016

Google Faculty Research Award 2015

Computational PB&J: Learning from Instructional Video

Best Paper Award at ECDM 2012 for Efficient Max-Margin Metric Learning 2012

SUNY at Buffalo Young Investigator Award 2011

Army Research Office Young Investigator Award 2010

Guidance By Semantics–High-Level Visual Inference to Improve Vision-based Mobile Robot Localization

National Science Foundation CAREER Award 2009

Selected Publications

[https://ieeexplore.ieee.org/abstract/document/6975210 The multimodal brain tumor image segmentation benchmark (BRATS).] Bjoern H Menze, Andras Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth Gerstner, Marc-Andre Weber, Tal Arbel, Brian B Avants, Nicholas Ayache, Patricia Buendia, D Louis Collins, Nicolas Cordier, Jason J Corso, Antonio Criminisi, Tilak Das, Hervé Delingette, Çağatay Demiralp, Christopher R Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M Iftekharuddin, Raj Jena, Nigel M John, Ender Konukoglu, Danial Lashkari, Jose Antonio Mariz, Raphael Meier, Sergio Pereira, Doina Precup, Stephen J Price, Tammy Riklin Raviv, Syed MS Reza, Michael Ryan, Duygu Sarikaya, Lawrence Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A Silva, Nuno Sousa, Nagesh K Subbanna, Gabor Szekely, Thomas J Taylor, Owen M Thomas, Nicholas J Tustison, Gozde Unal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, Koen Van Leemput. Journal IEEE transactions on medical imaging. Volume 34. Issue 10. Pages 1993-2024. 2015/10.

[https://ieeexplore.ieee.org/abstract/document/6247806 Action Bank: A high-level representation of activity in video.] Sreemanananth Sadanand, Jason J Corso. Computer Vision and Pattern Recognition (CVPR), 2012 IEEE. Pages 1234-1241.

[https://ieeexplore.ieee.org/abstract/document/4384610 Efficient multilevel brain tumor segmentation with integrated bayesian model classification.] Jason J Corso, Eitan Sharon, Shishir Dube, Suzie El-Saden, Usha Sinha, Alan Yuille. 2008/5. Journal Medical Imaging, IEEE. Volume 27 Issue 5. Pages 629-640.

Media

[https://news.umich.edu/u-m-receives-1-6m-toward-artificial-intelligence-for-data-science/ U-M receives $1.6M toward artificial intelligence for data science.] Retrieved 2019-02-15.

[https://news.engin.umich.edu/2018/07/prof-jason-corso-on-artificial-intelligence/ Prof. Jason Corso on artificial intelligence.] Retrieved 2019-02-15.

Talks

[https://www.youtube.com/watch?v=8wc0B9CP3Ik Manipulating Videos with Frame and Object Inpainting]. Michigan AI Symposium 2018.

[https://www.youtube.com/watch?v=8WL5dAUGPt0&t=24s When to Connection Vision and Language, The Low-, Mid- or High-Level.] Center for Brains, Minds and Machines (CBMM) 2015.

References

1. ^{{Cite web|url=https://voxel51.com/|title=Voxel51 // AI for Video|website=voxel51.com|access-date=2019-03-22}}

External links

Professional Website

[https://scholar.google.com/citations?hl=en&user=g9bV-_sAAAAJ Google Scholar Profile]

[https://voxel51.com/ Voxel51]

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