Követés
Aditya Khosla
Aditya Khosla
CTO, Iterative Health
E-mail megerősítve itt: iterative.health - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
496012015
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
130732016
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
73562015
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
50952017
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
43152011
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
33842017
Novel dataset for fine-grained image categorization
A Khosla, N Jayadevaprakash, B Yao, FF Li
First Workshop on Fine-Grained Visual Categorization, CVPR, 2011
1876*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
18752017
Object detectors emerge in Deep Scene CNNs
B Zhou, A Khosla, A Lapedriza, A Oliva, A Torralba
International Conference on Learning Representations, 2015
15552015
Deep learning for identifying metastatic breast cancer
D Wang, A Khosla, R Gargeya, H Irshad, AH Beck
arXiv preprint arXiv:1606.05718, 2016
13162016
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
12252016
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
878*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
7942011
Undoing the Damage of Dataset Bias
A Khosla, T Zhou, T Malisiewicz, AA Efros, A Torralba
European Conference on Computer Vision, 2012
6232012
Places: An image database for deep scene understanding
B Zhou, A Khosla, A Lapedriza, A Torralba, A Oliva
arXiv preprint arXiv:1610.02055, 2016
5102016
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
4392014
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
4252015
HOGgles: Visualizing Object Detection Features
C Vondrick, A Khosla, T Malisiewicz, A Torralba
International Conference on Computer Vision (ICCV), 2013, 2013
3972013
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
3922011
Large-Scale Video Summarization Using Web-Image Priors
A Khosla, R Hamid, CJ Lin, N Sundaresan
Computer Vision and Pattern Recognition (CVPR), 2013
3692013
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Cikkek 1–20