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- Christopher Kanan, Mathew H. Tong, Lingyun Zhang, Garrison W. Cottrell
- Visual cognition
- 2009
When people try to find particular objects in natural scenes they make extensive use of knowledge about how and where objects tend to appear in a scene. Although many forms of such "top-down"… (More)
- Christopher Kanan, Garrison W. Cottrell
- 2010 IEEE Computer Society Conference on Computer…
- 2010
Classification of images in many category datasbets has rapidly improved in recent years. However, systems that perform well on particular datasets typically have one or more limitations such as a… (More)
- Christopher Kanan, Garrison W. Cottrell
- PloS one
- 2012
In image recognition it is often assumed the method used to convert color images to grayscale has little impact on recognition performance. We compare thirteen different grayscale algorithms with… (More)
- Sulabh Kumra, Christopher Kanan
- 2017 IEEE/RSJ International Conference on…
- 2017
Deep learning has significantly advanced computer vision and natural language processing. While there have been some successes in robotics using deep learning, it has not been widely adopted. In this… (More)
- Ronald Kemker, Christopher Kanan
- IEEE Transactions on Geoscience and Remote…
- 2017
In this paper, we study self-taught learning for hyperspectral image (HSI) classification. Supervised deep learning methods are currently state of the art for many machine learning problems, but… (More)
- Kushal Kafle, Christopher Kanan
- 2017 IEEE International Conference on Computer…
- 2017
In visual question answering (VQA), an algorithm must answer text-based questions about images. While multiple datasets for VQA have been created since late 2014, they all have flaws in both their… (More)
- Kushal Kafle, Christopher Kanan
- 2016 IEEE Conference on Computer Vision and…
- 2016
Recently, algorithms for object recognition and related tasks have become sufficiently proficient that new vision tasks can now be pursued. In this paper, we build a system capable of answering… (More)
Since Yarbus's seminal work in 1965, vision scientists have argued that people's eye movement patterns differ depending upon their task. This suggests that we may be able to infer a person's task (or… (More)
Deep multi-layer perceptron neural networks are used in many state-of-the-art systems for machine perception (e.g., speech-to-text, image classification, and object detection). Once a network is… (More)
- Mabel M. Zhang, Jean Choi, Kostas Daniilidis, Michael T. Wolf, Christopher Kanan
- 2015 IEEE Conference on Computer Vision and…
- 2015
The development of fully autonomous seafaring vessels has enormous implications to the world's global supply chain and militaries. To obey international marine traffic regulations, these vessels must… (More)