Christopher Kanan

According to our database1, Christopher Kanan authored at least 20 papers between 2010 and 2018.

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Bibliography

2018
Low-Shot Learning for the Semantic Segmentation of Remote Sensing Imagery.
IEEE Trans. Geoscience and Remote Sensing, 2018

DVQA: Understanding Data Visualizations via Question Answering.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

New Metrics and Experimental Paradigms for Continual Learning.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Measuring Catastrophic Forgetting in Neural Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Self-Taught Feature Learning for Hyperspectral Image Classification.
IEEE Trans. Geoscience and Remote Sensing, 2017

Predicting Top-of-Atmosphere Thermal Radiance Using MERRA-2 Atmospheric Data with Deep Learning.
Remote Sensing, 2017

Visual question answering: Datasets, algorithms, and future challenges.
Computer Vision and Image Understanding, 2017

Robotic grasp detection using deep convolutional neural networks.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Data Augmentation for Visual Question Answering.
Proceedings of the 10th International Conference on Natural Language Generation, 2017

Convolutional Drift Networks for Video Classification.
Proceedings of the IEEE International Conference on Rebooting Computing, 2017

An Analysis of Visual Question Answering Algorithms.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Online tracking using saliency.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Answer-Type Prediction for Visual Question Answering.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
VAIS: A dataset for recognizing maritime imagery in the visible and infrared spectrums.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

Modeling the Object Recognition Pathway: A Deep Hierarchical Model Using Gnostic Fields.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014
Fine-grained object recognition with Gnostic Fields.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Predicting an observer's task using multi-fixation pattern analysis.
Proceedings of the Eye Tracking Research and Applications, 2014

2012
Turing: Beyond the original concept.
Nature, 2012

2010
Color Constancy Algorithms for Object and Face Recognition.
Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010

Robust classification of objects, faces, and flowers using natural image statistics.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010


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