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Jonathan Krause
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2020 – today
- 2024
- [i14]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:
Capabilities of Gemini Models in Medicine. CoRR abs/2404.18416 (2024) - 2023
- [i13]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:
Domain-specific optimization and diverse evaluation of self-supervised models for histopathology. CoRR abs/2310.13259 (2023) - 2022
- [c15]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:
Sapphire Rapids: The Next-Generation Intel Xeon Scalable Processor. ISSCC 2022: 44-46 - [i12]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:
Discovering novel systemic biomarkers in photos of the external eye. CoRR abs/2207.08998 (2022) - 2020
- [i11]Joy Hsu, Sonia Phene, Akinori Mitani, Jieying Luo, Naama Hammel, Jonathan Krause, Rory Sayres:
Improving Medical Annotation Quality to Decrease Labeling Burden Using Stratified Noisy Cross-Validation. CoRR abs/2009.10858 (2020)
2010 – 2019
- 2019
- [j5]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
Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program. npj Digit. Medicine 2 (2019) - [j4]Paisan Ruamviboonsuk, Jonathan Krause, Peranut Chotcomwongse, Rory Sayres, Rajiv Raman, Kasumi Widner, Bilson J. L. Campana, Sonia Phene, Kornwipa Hemarat, Mongkol Tadarati
Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program. npj Digit. Medicine 2 (2019) - 2018
- [c14]Amy Jin, Serena Yeung
Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks. WACV 2018: 691-699 - [i10]Amy Jin, Serena Yeung, Jeffrey Jopling, Jonathan Krause, Dan Azagury, Arnold Milstein, Li Fei-Fei:
Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks. CoRR abs/1802.08774 (2018) - [i9]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:
Deep Learning vs. Human Graders for Classifying Severity Levels of Diabetic Retinopathy in a Real-World Nationwide Screening Program. CoRR abs/1810.08290 (2018) - [i8]Sonia Phene, R. Carter Dunn, Naama Hammel, Yun Liu
Deep Learning to Assess Glaucoma Risk and Associated Features in Fundus Images. CoRR abs/1812.08911 (2018) - 2017
- [j3]Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Erez Lieberman Aiden, Li Fei-Fei:
Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States. Proc. Natl. Acad. Sci. USA 114(50): 13108-13113 (2017) - [c13]Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei:
Fine-Grained Car Detection for Visual Census Estimation. AAAI 2017: 4502-4508 - [c12]Timnit Gebru, Jonathan Krause, Jia Deng, Li Fei-Fei:
Scalable Annotation of Fine-Grained Categories Without Experts. CHI 2017: 1877-1881 - [c11]Jonathan Krause, Justin Johnson, Ranjay Krishna, Li Fei-Fei:
A Hierarchical Approach for Generating Descriptive Image Paragraphs. CVPR 2017: 3337-3345 - [i7]Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Erez Aiden Lieberman, Li Fei-Fei:
Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US. CoRR abs/1702.06683 (2017) - [i6]Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei:
Fine-Grained Car Detection for Visual Census Estimation. CoRR abs/1709.02480 (2017) - [i5]Timnit Gebru, Jonathan Krause, Jia Deng, Li Fei-Fei:
Scalable Annotation of Fine-Grained Categories Without Experts. CoRR abs/1709.02482 (2017) - [i4]Jonathan Krause, Varun Gulshan, Ehsan Rahimy, Peter Karth, Kasumi Widner, Gregory S. Corrado, Lily Peng, Dale R. Webster:
Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy. CoRR abs/1710.01711 (2017) - 2016
- [b1]Jonathan Krause:
Fine-grained recognition: data, recognition, and application. Stanford University, USA, 2016 - [j2]Jia Deng, Jonathan Krause, Michael Stark, Li Fei-Fei:
Leveraging the Wisdom of the Crowd for Fine-Grained Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 38(4): 666-676 (2016) - [c10]Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei:
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition. ECCV (3) 2016: 301-320 - [i3]Jonathan Krause, Justin Johnson, Ranjay Krishna, Li Fei-Fei:
A Hierarchical Approach for Generating Descriptive Image Paragraphs. CoRR abs/1611.06607 (2016) - 2015
- [j1]Olga Russakovsky
ImageNet Large Scale Visual Recognition Challenge. Int. J. Comput. Vis. 115(3): 211-252 (2015) - [c9]Jonathan Krause, Hailin Jin, Jianchao Yang, Li Fei-Fei:
Fine-grained recognition without part annotations. CVPR 2015: 5546-5555 - [i2]Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition. CoRR abs/1511.06789 (2015) - 2014
- [c8]Jia Deng, Olga Russakovsky
Scalable multi-label annotation. CHI 2014: 3099-3102 - [c7]Jonathan Krause, Timnit Gebru, Jia Deng, Li-Jia Li
Learning Features and Parts for Fine-Grained Recognition. ICPR 2014: 26-33 - [i1]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:
ImageNet Large Scale Visual Recognition Challenge. CoRR abs/1409.0575 (2014) - 2013
- [c6]Jia Deng, Jonathan Krause, Li Fei-Fei:
Fine-Grained Crowdsourcing for Fine-Grained Recognition. CVPR 2013: 580-587 - [c5]Jonathan Krause, Michael Stark, Jia Deng, Li Fei-Fei:
3D Object Representations for Fine-Grained Categorization. ICCV Workshops 2013: 554-561 - 2012
- [c4]Michael Stark, Jonathan Krause, Bojan Pepik, David Meger
Fine-Grained Categorization for 3D Scene Understanding. BMVC 2012: 1-12 - [c3]Jia Deng, Jonathan Krause, Alexander C. Berg, Li Fei-Fei:
Hedging your bets: Optimizing accuracy-specificity trade-offs in large scale visual recognition. CVPR 2012: 3450-3457 - 2011
- [c2]Matthew Faulkner, Michael Olson, Rishi Chandy, Jonathan Krause, K. Mani Chandy, Andreas Krause:
The next big one: Detecting earthquakes and other rare events from community-based sensors. IPSN 2011: 13-24 - [c1]Matthew Faulkner, Michael Olson, Rishi Chandy, Jonathan Krause, K. Mani Chandy, Andreas Krause:
Demo abstract, the next big one: Detecting earthquakes and other rare events from community-based sensors. IPSN 2011: 121-122
Coauthor Index
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