Sergey Karayev

According to our database, Sergey Karayev authored at least 17 papers between 2009 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Full Page Handwriting Recognition via Image to Sequence Extraction.

Sumeet S. Singh, Sergey Karayev

Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

2020

Analysis of Grading Times of Short Answer Questions.

Michael Yen, Sergey Karayev, Eric Wang

Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

2019

Grades are not Normal: Improving Exam Score Models Using the Logit-Normal Distribution.

Noah Arthurs, Ben Stenhaug, Sergey Karayev, Chris Piech

Proceedings of the 12th International Conference on Educational Data Mining, 2019

2018

How do professors format exams?: an analysis of question variety at scale.

Paul Laskowski, Sergey Karayev, Marti A. Hearst

Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 2018

2017

Gradescope: A Fast, Flexible, and Fair System for Scalable Assessment of Handwritten Work.

Arjun Singh, Sergey Karayev, Kevin Gutowski, Pieter Abbeel

Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

2014

Anytime Recognition of Objects and Scenes.

Sergey Karayev

PhD thesis, 2014

DenseNet: Implementing Efficient ConvNet Descriptor Pyramids.

Forrest N. Iandola, Matthew W. Moskewicz, Sergey Karayev, Ross B. Girshick, Trevor Darrell, Kurt Keutzer

CoRR, 2014

Caffe: Convolutional Architecture for Fast Feature Embedding.

Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross B. Girshick, Sergio Guadarrama, Trevor Darrell

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Anytime Recognition of Objects and Scenes.

Sergey Karayev, Mario Fritz, Trevor Darrell

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Recognizing Image Style.

Sergey Karayev, Matthew Trentacoste, Helen Han, Aseem Agarwala, Trevor Darrell, Aaron Hertzmann, Holger Winnemoeller

Proceedings of the British Machine Vision Conference, 2014

2013

A Category-Level 3D Object Dataset: Putting the Kinect to Work.

Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, Trevor Darrell

Proceedings of the Consumer Depth Cameras for Computer Vision, 2013

Recognizing Image Style.

Sergey Karayev, Aaron Hertzmann, Holger Winnemoeller, Aseem Agarwala, Trevor Darrell

CoRR, 2013

2012

Timely Object Recognition.

Sergey Karayev, Tobias Baumgartner, Mario Fritz, Trevor Darrell

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Practical 3-D object detection using category and instance-level appearance models.

Kate Saenko, Sergey Karayev, Yangqing Jia, Alex Shyr, Allison Janoch, Jonathan Long, Mario Fritz, Trevor Darrell

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

A category-level 3-D object dataset: Putting the Kinect to work.

Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, Trevor Darrell

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

A probabilistic model for recursive factorized image features.

Sergey Karayev, Mario Fritz, Sanja Fidler, Trevor Darrell

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2009

An Additive Latent Feature Model for Transparent Object Recognition.

Mario Fritz, Michael J. Black, Gary R. Bradski, Sergey Karayev, Trevor Darrell

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009