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ORCIDSergey Karayev
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2020 – today
- 2021
[c13]Sumeet S. Singh
, Sergey Karayev:
Full Page Handwriting Recognition via Image to Sequence Extraction. ICDAR (3) 2021: 55-69- [i4]Sumeet S. Singh, Sergey Karayev:
Full Page Handwriting Recognition via Image to Sequence Extraction. CoRR abs/2103.06450 (2021) - 2020
- [c12]Michael Yen, Sergey Karayev, Eric Wang:
Analysis of Grading Times of Short Answer Questions. L@S 2020: 365-368
2010 – 2019
- 2019
- [c11]Noah Arthurs, Ben Stenhaug, Sergey Karayev, Chris Piech:
Grades are not Normal: Improving Exam Score Models Using the Logit-Normal Distribution. EDM 2019 - 2018
- [c10]Paul Laskowski, Sergey Karayev, Marti A. Hearst:
How do professors format exams?: an analysis of question variety at scale. L@S 2018: 54:1-54:10 - 2017
- [c9]Arjun Singh, Sergey Karayev, Kevin Gutowski, Pieter Abbeel:
Gradescope: A Fast, Flexible, and Fair System for Scalable Assessment of Handwritten Work. L@S 2017: 81-88 - 2014
- [b1]Sergey Karayev:
Anytime Recognition of Objects and Scenes. University of California, Berkeley, USA, 2014 - [c8]Sergey Karayev, Matthew Trentacoste, Helen Han, Aseem Agarwala, Trevor Darrell, Aaron Hertzmann, Holger Winnemoeller:
Recognizing Image Style. BMVC 2014 - [c7]Sergey Karayev, Mario Fritz, Trevor Darrell:
Anytime Recognition of Objects and Scenes. CVPR 2014: 572-579 - [c6]Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross B. Girshick, Sergio Guadarrama, Trevor Darrell:
Caffe: Convolutional Architecture for Fast Feature Embedding. ACM Multimedia 2014: 675-678 - [i3]Forrest N. Iandola, Matthew W. Moskewicz, Sergey Karayev, Ross B. Girshick, Trevor Darrell, Kurt Keutzer:
DenseNet: Implementing Efficient ConvNet Descriptor Pyramids. CoRR abs/1404.1869 (2014) - [i2]Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross B. Girshick, Sergio Guadarrama, Trevor Darrell:
Caffe: Convolutional Architecture for Fast Feature Embedding. CoRR abs/1408.5093 (2014) - 2013
- [p1]Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, Trevor Darrell:
A Category-Level 3D Object Dataset: Putting the Kinect to Work. Consumer Depth Cameras for Computer Vision 2013: 141-165 - [i1]Sergey Karayev, Aaron Hertzmann, Holger Winnemoeller, Aseem Agarwala, Trevor Darrell:
Recognizing Image Style. CoRR abs/1311.3715 (2013) - 2012
- [c5]Sergey Karayev, Tobias Baumgartner, Mario Fritz, Trevor Darrell:
Timely Object Recognition. NIPS 2012: 899-907 - 2011
- [c4]Sergey Karayev, Mario Fritz, Sanja Fidler, Trevor Darrell:
A probabilistic model for recursive factorized image features. CVPR 2011: 401-408 - [c3]Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, Trevor Darrell:
A category-level 3-D object dataset: Putting the Kinect to work. ICCV Workshops 2011: 1168-1174 - [c2]Kate Saenko, Sergey Karayev, Yangqing Jia, Alex Shyr, Allison Janoch, Jonathan Long, Mario Fritz, Trevor Darrell:
Practical 3-D object detection using category and instance-level appearance models. IROS 2011: 793-800
2000 – 2009
- 2009
- [c1]Mario Fritz, Michael J. Black, Gary R. Bradski, Sergey Karayev, Trevor Darrell:
An Additive Latent Feature Model for Transparent Object Recognition. NIPS 2009: 558-566
Coauthor Index
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