| 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 | 17873 | 2014 |
| Densenet: Implementing efficient convnet descriptor pyramids F Iandola, M Moskewicz, S Karayev, R Girshick, T Darrell, K Keutzer arXiv preprint arXiv:1404.1869, 2014 | 966 | 2014 |
| 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: Research Topics and Applications …, 2013 | 545 | 2013 |
| Recognizing image style S Karayev, M Trentacoste, H Han, A Agarwala, T Darrell, A Hertzmann, ... arXiv preprint arXiv:1311.3715, 2013 | 539 | 2013 |
| 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 | 110 | 2017 |
| Densenet: Implementing efficient convnet descriptor pyramids. arXiv 2014 F Iandola, M Moskewicz, S Karayev, R Girshick, T Darrell, K Keutzer arXiv preprint arXiv:1404.1869, 0 | 93 | |
| 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, 2009 | 89 | 2009 |
| Anytime recognition of objects and scenes S Karayev, M Fritz, T Darrell Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 72 | 2014 |
| Timely object recognition S Karayev, T Baumgartner, M Fritz, T Darrell Advances in Neural Information Processing Systems 25, 2012 | 65 | 2012 |
| Proceedings of the 22nd ACM international conference on Multimedia Y Jia, E Shelhamer, J Donahue, S Karayev, J Long, R Girshick, ... ACM, 2014 | 64 | 2014 |
| Long, and Jonathan,“ Y Jia, E Shelhamer, J Donahue, S Karayev Caffe: Convolutional architecture for fast feature embedding, 675-678, 2014 | 59 | 2014 |
| Full page handwriting recognition via image to sequence extraction SS Singh, S Karayev Document Analysis and Recognition–ICDAR 2021: 16th International Conference …, 2021 | 46 | 2021 |
| Dynamic feature selection for classification on a budget S Karayev, MJ Fritz, T Darrell International conference on machine learning (ICML): Workshop on prediction …, 2013 | 29 | 2013 |
| 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 | 25 | 2011 |
| 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 | 24 | 2019 |
| 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 | 9 | 2011 |
| Troubleshooting deep neural networks J Tobin, S Karayev, P Abbeel | 5 | 2021 |
| 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 | 4 | 2018 |
| Virtual Zoom: Augmented Reality on a Mobile Device S Karayev University of Washington, Honors Thesis in Computer Science, 1-18, 2009 | 4 | 2009 |
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyVerified email at eecs.berkeley.edu
