Aditya Khosla

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Antonio TorralbaProfessor of Computer Science, MITVerified email at csail.mit.edu
Li Fei-FeiProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Aude OlivaSenior Research Scientist, MIT; MIT Director MIT-IBM Watson AI Lab; Director MIT Quest CorporateVerified email at mit.edu
Hao SuProfessor of Computer Science, UCSDVerified email at ucsd.edu
Bolei ZhouAssistant Professor at The Chinese University of Hong KongVerified email at ie.cuhk.edu.hk
Jia DengPrinceton UniversityVerified email at cs.princeton.edu
Àgata LapedrizaUniversitat Oberta de CatalunyaVerified email at uoc.edu
Andrew H. BeckCo-Founder and CEO at PathAIVerified email at PathAI.com
Olga RussakovskyAssistant Professor, Princeton UniversityVerified email at cs.princeton.edu
Jonathan KrauseGoogleVerified email at google.com
Michael S. BernsteinAssociate Professor, Stanford UniversityVerified email at cs.stanford.edu
Alexander C BergProfessor of Computer Science, University of North Carolina at Chapel HillVerified email at cs.unc.edu
Jianxiong XiaoAutoX, Inc.Verified email at autox.ai
Andrej KarpathyComputer Science PhD student, Stanford UniversityVerified email at cs.stanford.edu
Bangpeng YaoPhD of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Xiaoou TangThe Chinese University of Hong KongVerified email at ie.cuhk.edu.hk
Shuran SongColumbia UniversityVerified email at cs.columbia.edu
Honglak LeeLG AI Research / U. MichiganVerified email at umich.edu
Dimitrios PantazisMcGovern Institute for Brain Research, MITVerified email at mit.edu
Carl VondrickAssistant Professor, Columbia UniversityVerified email at columbia.edu

Aditya Khosla

Co-founder and CTO, PathAI

Verified email at pathai.com - Homepage

Computer Vision Machine Learning Medical Imaging


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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	26237	2015
Learning deep features for discriminative localization B Zhou, A Khosla, A Lapedriza, A Oliva, A Torralba Proceedings of the IEEE conference on computer vision and pattern …, 2016	4723	2016
3d shapenets: A deep representation for volumetric shapes Z Wu, S Song, A Khosla, F Yu, L Zhang, X Tang, J Xiao Proceedings of the IEEE conference on computer vision and pattern …, 2015	3157	2015
Multimodal deep learning J Ngiam, A Khosla, M Kim, J Nam, H Lee, AY Ng Proceedings of the 28th International Conference on Machine Learning (ICML), 2011	2821	2011
Places: A 10 million image database for scene recognition B Zhou, A Lapedriza, A Khosla, A Oliva, A Torralba IEEE transactions on pattern analysis and machine intelligence 40 (6), 1452-1464, 2017	1839	2017
Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer BE Bejnordi, M Veta, PJ Van Diest, B Van Ginneken, N Karssemeijer, ... Jama 318 (22), 2199-2210, 2017	1424	2017
Object detectors emerge in Deep Scene CNNs B Zhou, A Khosla, A Lapedriza, A Oliva, A Torralba International Conference on Learning Representations, 2015	1042	2015
Network dissection: Quantifying interpretability of deep visual representations D Bau, B Zhou, A Khosla, A Oliva, A Torralba Proceedings of the IEEE conference on computer vision and pattern …, 2017	854	2017
Novel dataset for fine-grained image categorization A Khosla, N Jayadevaprakash, B Yao, FF Li First Workshop on Fine-Grained Visual Categorization, CVPR, 2011	852*	2011
Deep learning for identifying metastatic breast cancer D Wang, A Khosla, R Gargeya, H Irshad, AH Beck arXiv preprint arXiv:1606.05718, 2016	705	2016
Human Action Recognition by Learning Bases of Action Attributes and Parts B Yao, X Jiang, A Khosla, AL Lin, L Guibas, L Fei-Fei International Conference on Computer Vision, 2011	621	2011
Eye tracking for everyone K Krafka, A Khosla, P Kellnhofer, H Kannan, S Bhandarkar, W Matusik, ... Proceedings of the IEEE conference on computer vision and pattern …, 2016	578	2016
Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence RM Cichy, A Khosla, D Pantazis, A Torralba, A Oliva Scientific reports 6 (1), 1-13, 2016	477*	2016
Undoing the Damage of Dataset Bias A Khosla, T Zhou, T Malisiewicz, AA Efros, A Torralba European Conference on Computer Vision, 2012	420	2012
HOGgles: Visualizing Object Detection Features C Vondrick, A Khosla, T Malisiewicz, A Torralba International Conference on Computer Vision (ICCV), 2013, 2013	358	2013
Combining randomization and discrimination for fine-grained image categorization B Yao, A Khosla, L Fei-Fei Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on …, 2011	354	2011
What makes an image popular? A Khosla, A Das Sarma, R Hamid Proceedings of the 23rd international conference on World wide web, 867-876, 2014	323	2014
Places: An image database for deep scene understanding B Zhou, A Khosla, A Lapedriza, A Torralba, A Oliva arXiv preprint arXiv:1610.02055, 2016	320	2016
Large-Scale Video Summarization Using Web-Image Priors A Khosla, R Hamid, CJ Lin, N Sundaresan Computer Vision and Pattern Recognition (CVPR), 2013	293	2013
Understanding and predicting image memorability at a large scale A Khosla, AS Raju, A Torralba, A Oliva International Conference on Computer Vision (ICCV), 2015, 2015	238	2015

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