Jonathan Krause
Cited by
Cited by
Imagenet large scale visual recognition challenge
O Russakovsky, J Deng, H Su, J Krause, S Satheesh, S Ma, Z Huang, ...
International journal of computer vision 115 (3), 211-252, 2015
3d object representations for fine-grained categorization
J Krause, M Stark, J Deng, L Fei-Fei
Proceedings of the IEEE international conference on computer vision …, 2013
Fine-grained recognition without part annotations
J Krause, H Jin, J Yang, L Fei-Fei
Proceedings of the IEEE conference on computer vision and pattern …, 2015
Fine-grained crowdsourcing for fine-grained recognition
J Deng, J Krause, L Fei-Fei
Proceedings of the IEEE conference on computer vision and pattern …, 2013
The unreasonable effectiveness of noisy data for fine-grained recognition
J Krause, B Sapp, A Howard, H Zhou, A Toshev, T Duerig, J Philbin, ...
European Conference on Computer Vision, 301-320, 2016
Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States
T Gebru, J Krause, Y Wang, D Chen, J Deng, EL Aiden, L Fei-Fei
Proceedings of the National Academy of Sciences 114 (50), 13108-13113, 2017
Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy
J Krause, V Gulshan, E Rahimy, P Karth, K Widner, GS Corrado, L Peng, ...
Ophthalmology 125 (8), 1264-1272, 2018
A hierarchical approach for generating descriptive image paragraphs
J Krause, J Johnson, R Krishna, L Fei-Fei
Proceedings of the IEEE conference on computer vision and pattern …, 2017
How to read articles that use machine learning: users’ guides to the medical literature
Y Liu, PHC Chen, J Krause, L Peng
Jama 322 (18), 1806-1816, 2019
Hedging Your Bets: Optimizing Accuracy-Specificity Trade-offs in Large Scale Visual Recognition
J Deng, J Krause, AC Berg, L Fei-Fei
Using a deep learning algorithm and integrated gradients explanation to assist grading for diabetic retinopathy
R Sayres, A Taly, E Rahimy, K Blumer, D Coz, N Hammel, J Krause, ...
Ophthalmology 126 (4), 552-564, 2019
The next big one: Detecting earthquakes and other rare events from community-based sensors
M Faulkner, M Olson, R Chandy, J Krause, KM Chandy, A Krause
Proceedings of the 10th ACM/IEEE International Conference on Information …, 2011
Tool detection and operative skill assessment in surgical videos using region-based convolutional neural networks
A Jin, S Yeung, J Jopling, J Krause, D Azagury, A Milstein, L Fei-Fei
2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 691-699, 2018
Scalable multi-label annotation
J Deng, O Russakovsky, J Krause, MS Bernstein, A Berg, L Fei-Fei
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems …, 2014
Learning features and parts for fine-grained recognition
J Krause, T Gebru, J Deng, LJ Li, L Fei-Fei
2014 22nd International Conference on Pattern Recognition, 26-33, 2014
Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program
P Ruamviboonsuk, J Krause, P Chotcomwongse, R Sayres, R Raman, ...
NPJ digital medicine 2 (1), 1-9, 2019
Fine-Grained Categorization for 3D Scene Understanding
M Stark, J Krause, B Pepik, D Meger, JJ Little, B Schiele, D Koller
British Machine Vision Conference (BMVC), 2012
Deep learning and glaucoma specialists: the relative importance of optic disc features to predict glaucoma referral in fundus photographs
S Phene, RC Dunn, N Hammel, Y Liu, J Krause, N Kitade, ...
Ophthalmology 126 (12), 1627-1639, 2019
Collecting a large-scale dataset of fine-grained cars
J Krause, J Deng, M Stark, L Fei-Fei
Fine-grained car detection for visual census estimation
T Gebru, J Krause, Y Wang, D Chen, J Deng, L Fei-Fei
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
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