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
115392015
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
5272013
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
2662015
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
2542013
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
1742016
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
1622011
Hedging Your Bets: Optimizing Accuracy-Specificity Trade-offs in Large Scale Visual Recognition
J Deng, J Krause, AC Berg, L Fei-Fei
1332012
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
992017
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
892014
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
872014
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
852017
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
662012
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
562018
Collecting a large-scale dataset of fine-grained cars
J Krause, J Deng, M Stark, L Fei-Fei
312013
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
302015
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
192018
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
162017
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
132017
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
112019
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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