Aditya Khosla

According to our database1, Aditya Khosla authored at least 38 papers between 2010 and 2018.

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Bibliography

2018
Places: A 10 Million Image Database for Scene Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

2017
Dynamics of scene representations in the human brain revealed by magnetoencephalography and deep neural networks.
NeuroImage, 2017

Network Dissection: Quantifying Interpretability of Deep Visual Representations.
CoRR, 2017

Following Gaze in Video.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Network Dissection: Quantifying Interpretability of Deep Visual Representations.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Visualizing Object Detection Features.
International Journal of Computer Vision, 2016

Places: An Image Database for Deep Scene Understanding.
CoRR, 2016

Deep Learning for Identifying Metastatic Breast Cancer.
CoRR, 2016

Following Gaze Across Views.
CoRR, 2016

Eye Tracking for Everyone.
CoRR, 2016

Deep Neural Networks predict Hierarchical Spatio-temporal Cortical Dynamics of Human Visual Object Recognition.
CoRR, 2016

Learning Deep Features for Discriminative Localization.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Eye Tracking for Everyone.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
ImageNet Large Scale Visual Recognition Challenge.
International Journal of Computer Vision, 2015

Guest Editorial: Scene Understanding.
International Journal of Computer Vision, 2015

Learning Deep Features for Discriminative Localization.
CoRR, 2015

Visualizing Object Detection Features.
CoRR, 2015

Where are they looking?
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Understanding and Predicting Image Memorability at a Large Scale.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

What Makes an Object Memorable?
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

3D ShapeNets: A deep representation for volumetric shapes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Object Detectors Emerge in Deep Scene CNNs.
CoRR, 2014

3D ShapeNets for 2.5D Object Recognition and Next-Best-View Prediction.
CoRR, 2014

ImageNet Large Scale Visual Recognition Challenge.
CoRR, 2014

What makes an image popular?
Proceedings of the 23rd International World Wide Web Conference, 2014

FPM: Fine Pose Parts-Based Model with 3D CAD Models.
Proceedings of the Computer Vision - ECCV 2014, 2014

Looking Beyond the Visible Scene.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Integrating Randomization and Discrimination for Classifying Human-Object Interaction Activities.
Proceedings of the Human-Centered Social Media Analytics, 2014

2013
HOGgles: Visualizing Object Detection Features.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Modifying the Memorability of Face Photographs.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Large-Scale Video Summarization Using Web-Image Priors.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Inverting and Visualizing Features for Object Detection
CoRR, 2012

Memorability of Image Regions.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Undoing the Damage of Dataset Bias.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Multimodal Deep Learning.
Proceedings of the 28th International Conference on Machine Learning, 2011

Human action recognition by learning bases of action attributes and parts.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Combining randomization and discrimination for fine-grained image categorization.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
An integrated machine learning approach to stroke prediction.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010


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