Aditya Khosla

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Antonio TorralbaProfessor of Computer Science, MITEmail yang diverifikasi di csail.mit.edu
Li Fei-FeiProfessor of Computer Science, Stanford UniversityEmail yang diverifikasi di cs.stanford.edu
Aude OlivaSenior Research Scientist, CSAIL, MIT Director MIT-IBM Lab, MIT College Director IndustryEmail yang diverifikasi di mit.edu
Hao SuUCSD CSEEmail yang diverifikasi di ucsd.edu
Jia DengPrinceton UniversityEmail yang diverifikasi di cs.princeton.edu
Bolei ZhouAssistant Professor at UCLAEmail yang diverifikasi di ucla.edu
Jonathan KrauseGoogleEmail yang diverifikasi di google.com
Michael S. BernsteinAssociate Professor, Stanford UniversityEmail yang diverifikasi di cs.stanford.edu
Àgata LapedrizaUniversitat Oberta de Catalunya, Northeastern UniversityEmail yang diverifikasi di uoc.edu
Andrew H. BeckCo-Founder and CEO at PathAIEmail yang diverifikasi di PathAI.com
Alexander C BergProfessor of Computer Science, University of California IrvineEmail yang diverifikasi di uci.edu
Olga RussakovskyAssociate Professor, Princeton UniversityEmail yang diverifikasi di cs.princeton.edu
Andrej KarpathyComputer Science PhD student, Stanford UniversityEmail yang diverifikasi di cs.stanford.edu
Bangpeng YaoPhD of Computer Science, Stanford UniversityEmail yang diverifikasi di cs.stanford.edu
Ilan WapinskiSanofiEmail yang diverifikasi di sanofi.com
Ben GlassPathAIEmail yang diverifikasi di pathai.com
Dayong WangMeta Inc.Email yang diverifikasi di meta.com
Xiaoou TangThe Chinese University of Hong KongEmail yang diverifikasi di ie.cuhk.edu.hk
Shuran SongStanford UniversityEmail yang diverifikasi di stanford.edu
Zhirong WuMicrosoft ResearchEmail yang diverifikasi di microsoft.com

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Aditya Khosla

CTO, Iterative Health

Email yang diverifikasi di iterative.health - Beranda

Computer Vision Machine Learning Medical Imaging


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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, 211-252, 2015	49363	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	13049	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	7300	2015
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	4988	2017
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	4300	2011
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	3317	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	1858*	2011
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	1854	2017
Object detectors emerge in Deep Scene CNNs B Zhou, A Khosla, A Lapedriza, A Oliva, A Torralba International Conference on Learning Representations, 2015	1545	2015
Deep learning for identifying metastatic breast cancer D Wang, A Khosla, R Gargeya, H Irshad, AH Beck arXiv preprint arXiv:1606.05718, 2016	1314	2016
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	1214	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), 27755, 2016	872*	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	799	2011
Undoing the Damage of Dataset Bias A Khosla, T Zhou, T Malisiewicz, AA Efros, A Torralba European Conference on Computer Vision, 2012	623	2012
Places: An image database for deep scene understanding B Zhou, A Khosla, A Lapedriza, A Torralba, A Oliva arXiv preprint arXiv:1610.02055, 2016	508	2016
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	439	2014
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	424	2015
HOGgles: Visualizing Object Detection Features C Vondrick, A Khosla, T Malisiewicz, A Torralba International Conference on Computer Vision (ICCV), 2013, 2013	399	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	387	2011
Large-Scale Video Summarization Using Web-Image Priors A Khosla, R Hamid, CJ Lin, N Sundaresan Computer Vision and Pattern Recognition (CVPR), 2013	366	2013

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