Seuraa
Aditya Khosla
Aditya Khosla
CTO, Iterative Health
Vahvistettu sähköpostiosoite verkkotunnuksessa iterative.health - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
489442015
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
129062016
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
72122015
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
49172017
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
42712011
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
32882017
Novel dataset for fine-grained image categorization
A Khosla, N Jayadevaprakash, B Yao, FF Li
First Workshop on Fine-Grained Visual Categorization, CVPR, 2011
1841*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
18342017
Object detectors emerge in Deep Scene CNNs
B Zhou, A Khosla, A Lapedriza, A Oliva, A Torralba
International Conference on Learning Representations, 2015
15402015
Deep learning for identifying metastatic breast cancer
D Wang, A Khosla, R Gargeya, H Irshad, AH Beck
arXiv preprint arXiv:1606.05718, 2016
13102016
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
11982016
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
862*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
7952011
Undoing the Damage of Dataset Bias
A Khosla, T Zhou, T Malisiewicz, AA Efros, A Torralba
European Conference on Computer Vision, 2012
6222012
Places: An image database for deep scene understanding
B Zhou, A Khosla, A Lapedriza, A Torralba, A Oliva
arXiv preprint arXiv:1610.02055, 2016
5052016
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
4362014
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
4192015
HOGgles: Visualizing Object Detection Features
C Vondrick, A Khosla, T Malisiewicz, A Torralba
International Conference on Computer Vision (ICCV), 2013, 2013
3982013
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
3872011
Large-Scale Video Summarization Using Web-Image Priors
A Khosla, R Hamid, CJ Lin, N Sundaresan
Computer Vision and Pattern Recognition (CVPR), 2013
3662013
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Artikkelit 1–20