Jonathan Krause
TitleCited byYear
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
135552015
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
6442013
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
2952015
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
2742013
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
1982016
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
1702011
Hedging Your Bets: Optimizing Accuracy-Specificity Trade-offs in Large Scale Visual Recognition
J Deng, J Krause, AC Berg, L Fei-Fei
1412012
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
1332017
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
1092017
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
962014
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
952014
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
762018
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
702012
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
342018
Collecting a large-scale dataset of fine-grained cars
J Krause, J Deng, M Stark, L Fei-Fei
342013
Leveraging the wisdom of the crowd for fine-grained recognition
J Deng, J Krause, M Stark, L Fei-Fei
IEEE transactions on pattern analysis and machine intelligence 38 (4), 666-676, 2015
322015
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
292019
Fine-grained car detection for visual census estimation
T Gebru, J Krause, Y Wang, D Chen, J Deng, L Fei-Fei
Thirty-First AAAI Conference on Artificial Intelligence, 2017
182017
Scalable annotation of fine-grained categories without experts
T Gebru, J Krause, J Deng, L Fei-Fei
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems …, 2017
142017
Method and system for optimizing accuracy-specificity trade-offs in large scale visual recognition
FF Li, J Deng, J Krause, AC Berg
US Patent 9,158,965, 2015
82015
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