Jonathan Krause

Short Bio

Update: I now work at Google.

I am a 5th year CS Ph.D. student at Stanford, advised by Fei-Fei Li. I do work in computer vision, with a focus on fine-grained recognition, and further interests in deep learning. I am also part of the ImageNet research team.

I graduated from the California Institute of Technology in 2011 with a BS in Computer Science, after which I came to Stanford. In the past, I have also worked in Daphne Koller and Andrew Ng’s labs, and have interned at Google, Adobe, and NASA.

Sep 11-Present Jun 11-Sep 11
Jun 15-Nov 15
Jun 14-Sep 14 Sep 07-Jun 11 Jun 08,09-Sep 08,09
Recent News
  • I now work at Google.
  • One new paper on arxiv.
  • Data for ECCV paper now available.
  • Paper accepted to ECCV 2016.
  • CVPR13 and ICCV13 follow-up work accepted to PAMI.
  • ILSVRC paper accepted to IJCV.
  • One paper at CVPR 2015.
  • On Program Committee of BigVision 2015 and FGVC at CVPR 2015.
  • Organizer for the ILSVRC tutorial at CVPR 2015.
Selected Work   [Google Scholar]

A Hierarchical Approach for Generating Descriptive Image Paragraphs
 Jonathan Krause, Justin Johnson, Ranjay Krishna, Li Fei-Fei.
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition
 Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei.
 European Conference on Computer Vision (ECCV). Amsterdam, The Netherlands. October 8-16, 2016.
  [arxiv]   [data]
Leveraging the Wisdom of the Crowd for Fine-Grained Recognition
 Jia Deng, Jonathan Krause, Michael Stark, Li Fei-Fei.
 IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI). 2015.
Fine-Grained Recognition without Part Annotations
 Jonathan Krause, Hailin Jin, Jianchao Yang, Li Fei-Fei.
 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Boston, MA. June 7-12, 2015.
  [pdf]   [supp]   [BibTex]   [some code]
Visual Census: Using Cars to Study People and Society
 Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei
 International Workshop on Large Scale Visual Recognition and Retrieval (Bigvision). 2015.
ImageNet Large Scale Visual Recognition Challenge
 Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, Li Fei-Fei.
 IJCV 2015   [paper]   [arxiv]
Learning Features and Parts for Fine-Grained Recognition
 Jonathan Krause, Timnit Gebru, Jia Deng, Li-Jia Li, Li Fei-Fei
 International Conference on Pattern Recognition (ICPR). Stockholm, Sweden. August 24 - 28, 2014.
 Invited Paper   [pdf]   [BibTex]
Scalable Multi-Label Annotation
 Jia Deng, Olga Russakovsky, Jonathan Krause, Michael Bernstein, Alex Berg, Li Fei-Fei
 ACM Conference on Human Factors in Computing Systems (CHI). Toronto, Canada. April 26 - May 1, 2014.
  [pdf]   [BibTex]   [slides]
3D Object Representations for Fine-Grained Categorization
 Jonathan Krause, Michael Stark, Jia Deng, Li Fei-Fei
 4th IEEE Workshop on 3D Representation and Recognition, at ICCV 2013 (3dRR-13). Sydney, Australia. Dec. 8, 2013.
  [pdf]   [supp]   [BibTex]   [slides]   [Cars Dataset]
Fine-Grained Crowdsourcing for Fine-Grained Recognition
 Jia Deng, Jonathan Krause, Li Fei-Fei
 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Portland, OR. June 23-28, 2013.
 Oral presentation    [pdf]   [BibTex]   [UI Code]
Collecting a Large-Scale Dataset of Fine-Grained Cars
 Jonathan Krause, Jia Deng, Michael Stark, Li Fei-Fei
 Second Workshop on Fine-Grained Visual Categorization (FGVC2). Portland, OR. June 28, 2013.
 [pdf]   [Poster]
Fine-Grained Categorization for 3D Scene Understanding
 Michael Stark, Jonathan Krause, Bojan Pepik, David Meger, James Little, Bernt Schiele, Daphne Koller
 British Machine Vision Conference (BMVC). Guildford, England. September 3-7, 2012.
 [pdf]  [BibTex]  [Data]
Hedging Your Bets: Optimizing Accuracy-Specificity Trade-offs in Large Scale Visual Recognition
 Jia Deng, Jonathan Krause, Alex Berg, Li Fei-Fei
 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Providence, RI. June 16-21, 2012.
 [pdf]   [Supplemental]   [BibTex]   [Code]   [Web Demo]
The Next Big One: Detecting Earthquakes and other Rare Events from Community-based Sensors
 Matthew Faulkner, Michael Olson, Rishi Chandy, Jonathan Krause, K. Mani Chandy, Andreas Krause
 IEEE International Conference on Information Processing in Sensor Networks (IPSN). Chicago, IL. April 12-14, 2011.
 [pdf]   [BibTex]
Professional Activities
Gates Computer Science Building, Room 242
353 Serra Mall, Stanford University
Stanford, CA 94305-9025, USA