Aditya Khosla

Citado por

	Todos	Desde 2019
Citações	92695	74549
Índice h	38	34
Índice i10	45	42

15000

7500

3750

11250

201320142015201620172018201920202021202220232024266 467 1209 2616 4770 7702 10047 11648 13700 14385 14324 10441

Acesso público

Ver tudo

8 artigos

0 artigos

disponível

não disponível

Com base em autorizações de financiamento

Coautores

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

Seguir

Aditya Khosla

CTO, Iterative Health

Email confirmado em iterative.health - Página inicial

Computer Vision Machine Learning Medical Imaging


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	46942	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	12215	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	6819	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	4600	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	4119	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	3128	2017
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	1754	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	1736*	2011
Object detectors emerge in Deep Scene CNNs B Zhou, A Khosla, A Lapedriza, A Oliva, A Torralba International Conference on Learning Representations, 2015	1512	2015
Deep learning for identifying metastatic breast cancer D Wang, A Khosla, R Gargeya, H Irshad, AH Beck arXiv preprint arXiv:1606.05718, 2016	1263	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	1139	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	828*	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	781	2011
Undoing the Damage of Dataset Bias A Khosla, T Zhou, T Malisiewicz, AA Efros, A Torralba European Conference on Computer Vision, 2012	607	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	489	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	426	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	409	2015
HOGgles: Visualizing Object Detection Features C Vondrick, A Khosla, T Malisiewicz, A Torralba International Conference on Computer Vision (ICCV), 2013, 2013	396	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	389	2011
Large-Scale Video Summarization Using Web-Image Priors A Khosla, R Hamid, CJ Lin, N Sundaresan Computer Vision and Pattern Recognition (CVPR), 2013	359	2013

O sistema não pode efectuar a operação agora. Tente mais tarde.

Artigos 1–20

Citações por ano

Citações duplicadas

Citações unidas

Adicionar coautoresCoautores

Seguir

Citado por

Coautores