引用次数
引用: 88,287
H-指数: 40
I10-指数 : 51
出版物: 84
Object Detectors Emerge in Deep Scene CNNs
Agata Lapedriza , Aditya Khosla , Bolei Zhou , Antonio Torralba
arXiv: Computer Vision and Pattern Recognition
663
2014
Memorability of Image Regions
Aditya Khosla , Jianxiong Xiao , Antonio Torralba , Aude Oliva
neural information processing systems 25 296 -304
94
2012
Where are they looking
Adria Recasens Continente , Aditya Khosla , Carl Vondrick , Antonio Torralba
neural information processing systems 28 199 -207
104
2015
Multimodal Deep Learning
Aditya Khosla , Andrew Y. Ng , Honglak Lee , Jiquan Ngiam
international conference on machine learning 689 -696
3,423
2011
Deep Learning for Identifying Metastatic Breast Cancer
Aditya Khosla , Andrew H. Beck , Humayun Irshad , Rishab Gargeya
arXiv: Quantitative Methods
990
2016
ImageNet Large Scale Visual Recognition Challenge
Andrej Karpathy , Olga Russakovsky , Michael Bernstein , Li Fei-Fei
Springer US
35,613
2015
Learning Deep Features for Discriminative Localization
Agata Lapedriza , Aditya Khosla , Bolei Zhou , Antonio Torralba
arXiv: Computer Vision and Pattern Recognition
7,888
2015
3D ShapeNets: A Deep Representation for Volumetric Shapes
Aditya Khosla , Shuran Song , Fisher Yu , Zhirong Wu
arXiv: Computer Vision and Pattern Recognition
4,592
2014
A Machine Learning Approach Enables Quantitative Measurement of Liver Histology and Disease Monitoring in NASH.
Quentin M. Anstee , Oscar Carrasco‐Zevallos , Urmila Khettry , Zobair M. Younossi
Hepatology
1
2021
Abstract PD6-04: Deep-learning based prediction of homologous recombination deficiency (hrd) status from histological features in breast cancer; a research study
Amaro Taylor-Weiner , Aditya Khosla , Hunter Elliott , Andrew H. Beck
Cancer Research
1
2021
Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypes.
Amaro Taylor-Weiner , Aditya Khosla , Hunter L. Elliott , Ramprakash Srinivasan
Nature Communications 12 ( 1) 1613 -1613
79
2021
The Combined Effect of FGFR Inhibition and PD-1 Blockade Promotes Tumor-Intrinsic Induction of Antitumor Immunity.
Sangeetha Palakurthi , Mari Kuraguchi , Sima J Zacharek , Enrique Zudaire
Cancer immunology research 7 ( 9) 1457 -1471
31
2019
Guest Editorial: Scene Understanding
Derek Hoiem , James Hays , Jianxiong Xiao , Aditya Khosla
International Journal of Computer Vision 112 ( 2) 131 -132
13
2015
Visualizing Object Detection Features
Carl Vondrick , Aditya Khosla , Hamed Pirsiavash , Tomasz Malisiewicz
International Journal of Computer Vision 119 ( 2) 145 -158
23
2016
Dynamics of scene representations in the human brain revealed by magnetoencephalography and deep neural networks.
Radoslaw Martin Cichy , Aditya Khosla , Dimitrios Pantazis , Aude Oliva
NeuroImage 153 346 -358
108
2017
Image memorability and visual inception
Aditya Khosla , Jianxiong Xiao , Phillip Isola , Antonio Torralba
international conference on computer graphics and interactive techniques 35
36
2012
Integrating Randomization and Discrimination for Classifying Human-Object Interaction Activities
Aditya Khosla , Bangpeng Yao , Li Fei-Fei
Human-Centered Social Media Analytics 95 -114
5
2014
An integrated machine learning approach to stroke prediction
Aditya Khosla , Yu Cao , Cliff Chiung-Yu Lin , Hsu-Kuang Chiu
knowledge discovery and data mining 183 -192
167
2010
On combining information-theoretic and cryptographic approaches to network coding security against the pollution attack
Svitlana Vyetrenko , Aditya Khosla , Tracey Ho
asilomar conference on signals, systems and computers 788 -792
10
2009
Network Dissection: Quantifying Interpretability of Deep Visual Representations
David Bau , Bolei Zhou , Aditya Khosla , Aude Oliva
computer vision and pattern recognition 3319 -3327
1,251
2017