Sergey Karayev
Sergey Karayev
Working on AI for education at Turnitin (formerly at Gradescope). CS PhD from Berkeley.
Vahvistettu sähköpostiosoite verkkotunnuksessa gradescope.com - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Caffe: Convolutional architecture for fast feature embedding
Y Jia, E Shelhamer, J Donahue, S Karayev, J Long, R Girshick, ...
Proceedings of the 22nd ACM international conference on Multimedia, 675-678, 2014
153722014
A category-level 3d object dataset: Putting the kinect to work
A Janoch, S Karayev, Y Jia, JT Barron, M Fritz, K Saenko, T Darrell
Consumer depth cameras for computer vision, 141-165, 2013
4482013
Recognizing image style
S Karayev, M Trentacoste, H Han, A Agarwala, T Darrell, A Hertzmann, ...
arXiv preprint arXiv:1311.3715, 2013
4042013
Densenet: Implementing efficient convnet descriptor pyramids
F Iandola, M Moskewicz, S Karayev, R Girshick, T Darrell, K Keutzer
arXiv preprint arXiv:1404.1869, 2014
3482014
An additive latent feature model for transparent object recognition
M Fritz, G Bradski, S Karayev, T Darrell, M Black
Advances in Neural Information Processing Systems 22, 558-566, 2009
692009
Timely object recognition
S Karayev, T Baumgartner, M Fritz, T Darrell
Advances in Neural Information Processing Systems 25, 890-898, 2012
602012
Anytime recognition of objects and scenes
S Karayev, M Fritz, T Darrell
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
542014
Gradescope: a fast, flexible, and fair system for scalable assessment of handwritten work
A Singh, S Karayev, K Gutowski, P Abbeel
Proceedings of the fourth (2017) acm conference on learning@ scale, 81-88, 2017
532017
Caffe: Convolutional architecture for fast feature embedding. arXiv 2014
Y Jia, E Shelhamer, J Donahue, S Karayev, J Long, R Girshick, ...
arXiv preprint arXiv:1408.5093, 2019
502019
& Darrell, T.(2014, November). Caffe: Convolutional architecture for fast feature embedding
Y Jia, E Shelhamer, J Donahue, S Karayev, J Long, R Girshick
Proceedings of the ACM International Conference on Multimedia, 675-678, 0
38
Practical 3-d object detection using category and instance-level appearance models
K Saenko, S Karayev, Y Jia, A Shyr, A Janoch, J Long, M Fritz, T Darrell
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011
252011
Dynamic feature selection for classification on a budget
S Karayev, MJ Fritz, T Darrell
International Conference on Machine Learning (ICML): Workshop on Prediction …, 2013
242013
Caffe: convolutional architecture for fast feature embedding (2014). arXiv preprint
Y Jia, E Shelhamer, J Donahue, S Karayev, J Long, R Girshick, ...
arXiv preprint arXiv:1408.5093, 0
10
A probabilistic model for recursive factorized image features
S Karayev, M Fritz, S Fidler, T Darrell
CVPR 2011, 401-408, 2011
92011
Virtual Zoom: Augmented Reality on a Mobile Device
S Karayev
University of Washington, Honors Thesis in Computer Science, 1-18, 2009
42009
Grades Are Not Normal: Improving Exam Score Models Using the Logit-Normal Distribution.
N Arthurs, B Stenhaug, S Karayev, C Piech
International Educational Data Mining Society, 2019
22019
How do professors format exams? an analysis of question variety at scale
P Laskowski, S Karayev, MA Hearst
Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 1-10, 2018
22018
CabFriendly: A Cloud-based Mobile Web App
A Roberts, H Pimentel, S Karayevm
Amazon’s EC2, 2011
22011
Self-Organizing Sparse Codes
Y Jia, S Karayev
12010
Grounded Parsing of Object Attributes and Prepositions CS 288 Final Project
Y Jia, T Owens, S Karayev
Media, 2010
12010
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Artikkelit 1–20