Jonathan Krause

According to our database, Jonathan Krause authored at least 29 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Capabilities of Gemini Models in Medicine.

Khaled Saab, Tao Tu, Wei-Hung Weng, Ryutaro Tanno, David Stutz, Ellery Wulczyn, Fan Zhang, Tim Strother, Chunjong Park, Elahe Vedadi, Juanma Zambrano Chaves, Szu-Yeu Hu, Mike Schaekermann, Aishwarya Kamath, Yong Cheng, David G. T. Barrett, Cathy Cheung, Basil Mustafa, Anil Palepu, Daniel McDuff, Le Hou, Tomer Golany, Luyang Liu, Jean-Baptiste Alayrac, Neil Houlsby, Nenad Tomasev, Jan Freyberg, Charles Lau, Jonas Kemp, Jeremy Lai, Shekoofeh Azizi, Kimberly Kanada, SiWai Man, Kavita Kulkarni, Ruoxi Sun, Siamak Shakeri, Luheng He, Benjamin Caine, Albert Webson, Natasha Latysheva, Melvin Johnson, Philip Andrew Mansfield, Jian Lu, Ehud Rivlin, Jesper Anderson, Bradley Green, Renee Wong, Jonathan Krause, Jonathon Shlens, Ewa Dominowska, S. M. Ali Eslami, Katherine Chou, Claire Cui, Oriol Vinyals, Koray Kavukcuoglu, James Manyika, Jeff Dean, Demis Hassabis, Yossi Matias, Dale R. Webster, Joelle K. Barral, Greg Corrado, Christopher Semturs, S. Sara Mahdavi, Juraj Gottweis, Alan Karthikesalingam, Vivek Natarajan

CoRR, 2024

2023

Domain-specific optimization and diverse evaluation of self-supervised models for histopathology.

Jeremy Lai, Faruk Ahmed, Supriya Vijay, Tiam Jaroensri, Jessica Loo, Saurabh Vyawahare, Saloni Agarwal, Fayaz Jamil, Yossi Matias, Gregory S. Corrado, Dale R. Webster, Jonathan Krause, Yun Liu, Po-Hsuan Cameron Chen, Ellery Wulczyn, David F. Steiner

CoRR, 2023

2022

Discovering novel systemic biomarkers in photos of the external eye.

Boris Babenko, Ilana Traynis, Christina Chen, Preeti Singh, Akib Uddin, Jorge Cuadros, Lauren P. Daskivich, April Y. Maa, Kim Ramasamy, Eugene Yu-Chuan Kang, Yossi Matias, Gregory S. Corrado, Lily Peng, Dale R. Webster, Christopher Semturs, Jonathan Krause, Avinash V. Varadarajan, Naama Hammel, Yun Liu

CoRR, 2022

Sapphire Rapids: The Next-Generation Intel Xeon Scalable Processor.

Nevine Nassif, Ashley O. Munch, Carleton L. Molnar, Gerald Pasdast, Sitaraman V. Lyer, Zibing Yang, Oscar Mendoza, Mark Huddart, Srikrishnan Venkataraman, Sireesha Kandula, Rafi Marom, Alexandra M. Kern, William J. Bowhill, David R. Mulvihill, Srikanth Nimmagadda, Varma Kalidindi, Jonathan Krause, Mohammad M. Haq, Roopali Sharma, Kevin Duda

Proceedings of the IEEE International Solid-State Circuits Conference, 2022

2020

Improving Medical Annotation Quality to Decrease Labeling Burden Using Stratified Noisy Cross-Validation.

Joy Hsu, Sonia Phene, Akinori Mitani, Jieying Luo, Naama Hammel, Jonathan Krause, Rory Sayres

CoRR, 2020

2019

Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program.

Paisan Ruamviboonsuk, Jonathan Krause, Peranut Chotcomwongse, Rory Sayres, Rajiv Raman, Kasumi Widner, Bilson J. L. Campana, Sonia Phene, Kornwipa Hemarat, Mongkol Tadarati, Sukhum Silpa-Archa, Jirawut Limwattanayingyong, Chetan Rao, Oscar Kuruvilla, Jesse Jung, Jeffrey Tan, Surapong Orprayoon, Chawawat Kangwanwongpaisan, Ramase Sukulmalpaiboon, Chainarong Luengchaichawang, Jitumporn Fuangkaew, Pipat Kongsap, Lamyong Chualinpha, Sarawuth Saree, Srirat Kawinpanitan, Korntip Mitvongsa, Siriporn Lawanasakol, Chaiyasit Thepchatri, Lalita Wongpichedchai, Gregory S. Corrado, Lily Peng, Dale R. Webster

npj Digit. Medicine, 2019

Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program.

Paisan Ruamviboonsuk, Jonathan Krause, Peranut Chotcomwongse, Rory Sayres, Rajiv Raman, Kasumi Widner, Bilson J. L. Campana, Sonia Phene, Kornwipa Hemarat, Mongkol Tadarati, Sukhum Silpa-Archa, Jirawut Limwattanayingyong, Chetan Rao, Oscar Kuruvilla, Jesse Jung, Jeffrey Tan, Surapong Orprayoon, Chawawat Kangwanwongpaisan, Ramase Sukulmalpaiboon, Chainarong Luengchaichawang, Jitumporn Fuangkaew, Pipat Kongsap, Lamyong Chualinpha, Sarawuth Saree, Srirat Kawinpanitan, Korntip Mitvongsa, Siriporn Lawanasakol, Chaiyasit Thepchatri, Lalita Wongpichedchai, Gregory S. Corrado, Lily Peng, Dale R. Webster

npj Digit. Medicine, 2019

2018

Deep Learning to Assess Glaucoma Risk and Associated Features in Fundus Images.

Sonia Phene, R. Carter Dunn, Naama Hammel, Yun Liu, Jonathan Krause, Naho Kitade, Mike Schaekermann, Rory Sayres, Derek J. Wu, Ashish Bora, Christopher Semturs, Anita Misra, Abigail E. Huang, Arielle Spitze, Felipe A. Medeiros, April Y. Maa, Monica Gandhi, Gregory S. Corrado, Lily Peng, Dale R. Webster

CoRR, 2018

Deep Learning vs. Human Graders for Classifying Severity Levels of Diabetic Retinopathy in a Real-World Nationwide Screening Program.

Paisan Raumviboonsuk, Jonathan Krause, Peranut Chotcomwongse, Rory Sayres, Rajiv Raman, Kasumi Widner, Bilson J. L. Campana, Sonia Phene, Kornwipa Hemarat, Mongkol Tadarati, Sukhum Silpa-Archa, Jirawut Limwattanayingyong, Chetan Rao, Oscar Kuruvilla, Jesse Jung, Jeffrey Tan, Surapong Orprayoon, Chawawat Kangwanwongpaisan, Ramase Sukulmalpaiboon, Chainarong Luengchaichawang, Jitumporn Fuangkaew, Pipat Kongsap, Lamyong Chualinpha, Sarawuth Saree, Srirat Kawinpanitan, Korntip Mitvongsa, Siriporn Lawanasakol, Chaiyasit Thepchatri, Lalita Wongpichedchai, Gregory S. Corrado, Lily Peng, Dale R. Webster

CoRR, 2018

Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks.

Amy Jin, Serena Yeung, Jeffrey Jopling, Jonathan Krause, Dan Azagury, Arnold Milstein, Li Fei-Fei

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

2017

Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States.

Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Erez Lieberman Aiden, Li Fei-Fei

Proc. Natl. Acad. Sci. USA, 2017

Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy.

Jonathan Krause, Varun Gulshan, Ehsan Rahimy, Peter Karth, Kasumi Widner, Gregory S. Corrado, Lily Peng, Dale R. Webster

CoRR, 2017

Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US.

Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Erez Aiden Lieberman, Li Fei-Fei

CoRR, 2017

A Hierarchical Approach for Generating Descriptive Image Paragraphs.

Jonathan Krause, Justin Johnson, Ranjay Krishna, Li Fei-Fei

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Scalable Annotation of Fine-Grained Categories Without Experts.

Timnit Gebru, Jonathan Krause, Jia Deng, Li Fei-Fei

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

Fine-Grained Car Detection for Visual Census Estimation.

Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Fine-grained recognition: data, recognition, and application.

Jonathan Krause

PhD thesis, 2016

Leveraging the Wisdom of the Crowd for Fine-Grained Recognition.

Jia Deng, Jonathan Krause, Michael Stark, Li Fei-Fei

IEEE Trans. Pattern Anal. Mach. Intell., 2016

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

Proceedings of the Computer Vision - ECCV 2016, 2016

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 S. Bernstein, Alexander C. Berg, Li Fei-Fei

Int. J. Comput. Vis., 2015

Fine-grained recognition without part annotations.

Jonathan Krause, Hailin Jin, Jianchao Yang, Li Fei-Fei

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Learning Features and Parts for Fine-Grained Recognition.

Jonathan Krause, Timnit Gebru, Jia Deng, Li-Jia Li, Li Fei-Fei

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Scalable multi-label annotation.

Jia Deng, Olga Russakovsky, Jonathan Krause, Michael S. Bernstein, Alexander C. Berg, Li Fei-Fei

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

2013

3D Object Representations for Fine-Grained Categorization.

Jonathan Krause, Michael Stark, Jia Deng, Li Fei-Fei

Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

Fine-Grained Crowdsourcing for Fine-Grained Recognition.

Jia Deng, Jonathan Krause, Li Fei-Fei

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Hedging your bets: Optimizing accuracy-specificity trade-offs in large scale visual recognition.

Jia Deng, Jonathan Krause, Alexander C. Berg, Li Fei-Fei

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Fine-Grained Categorization for 3D Scene Understanding.

Michael Stark, Jonathan Krause, Bojan Pepik, David Meger, James J. Little, Bernt Schiele, Daphne Koller

Proceedings of the British Machine Vision Conference, 2012

2011

Demo abstract, 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

Proceedings of the 10th International Conference on Information Processing in Sensor Networks, 2011

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

Proceedings of the 10th International Conference on Information Processing in Sensor Networks, 2011