Attentive gesture recognition. - Samuel Fuller Dodge; Lina J. Karam (ICIP, 2012)

Is Bottom-Up Attention Useful for Scene Recognition? - Samuel Fuller Dodge; Lina J. Karam (CoRR, 2013)

An evaluation of attention models for use in SLAM. - Samuel Fuller Dodge; Lina J. Karam (Intelligent Robots and Computer Vision: Algorithms and Techniques, 2014)

Visual attention quality database for benchmarking performance evaluation metrics. - Milind S. Gide; Samuel Fuller Dodge; Lina J. Karam (ICIP, 2016)

Understanding how image quality affects deep neural networks. - Samuel Fuller Dodge; Lina J. Karam (QoMEX, 2016)

The Effect of Distortions on the Prediction of Visual Attention. - Milind S. Gide; Samuel Fuller Dodge; Lina J. Karam (CoRR, 2016)

A Study and Comparison of Human and Deep Learning Recognition Performance under Visual Distortions. - Samuel Fuller Dodge; Lina J. Karam (ICCCN, 2017)

Can the Early Human Visual System Compete with Deep Neural Networks? - Samuel Fuller Dodge; Lina J. Karam (ICCV Workshops, 2017)

Parsing floor plan images. - Samuel Fuller Dodge; Jiu Xu; Björn Stenger (MVA, 2017)

Quality Resilient Deep Neural Networks. - Samuel Fuller Dodge; Lina J. Karam (CoRR, 2017)

Unconstrained ear recognition using deep neural networks. - Samuel Fuller Dodge; Jinane Mounsef; Lina J. Karam (IET Biom., 2018)

Visual Saliency Prediction Using a Mixture of Deep Neural Networks. - Samuel Fuller Dodge; Lina J. Karam (IEEE Trans. Image Process., 2018)

Quality Robust Mixtures of Deep Neural Networks. - Samuel Fuller Dodge; Lina J. Karam (IEEE Trans. Image Process., 2018)

Tree-Based Deep Mixture of Experts with Applications to Visual Saliency Prediction and Quality Robust Visual Recognition. - Samuel Fuller Dodge (2018)

Human and DNN Classification Performance on Images With Quality Distortions: A Comparative Study. - Samuel Fuller Dodge; Lina J. Karam (ACM Trans. Appl. Percept., 2019)