T. Nathan Mundhenk - researchr alias

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Viewing Publication 1 - 15 from 15

2021

Symbolic Regression via Deep Reinforcement Learning Enhanced Genetic Programming SeedingT. Nathan Mundhenk, Mikel Landajuela, Ruben Glatt, Cláudio P. Santiago, Daniel M. Faissol, Brenden K. Petersen. nips 2021: 24912-24923 [doi]

2018

Improvements to Context Based Self-Supervised LearningT. Nathan Mundhenk, Daniel Ho, Barry Y. Chen. cvpr 2018: 9339-9348 [doi]

2017

Deep learning for evaluating difficult-to-detect incomplete repairs of high fluence laser optics at the National Ignition FacilityT. Nathan Mundhenk, Laura M. Kegelmeyer, Scott K. Trummer. qcav 2017: [doi]

Deep Multi-modal Vehicle Detection in Aerial ISR ImageryWesam A. Sakla, Goran Konjevod, T. Nathan Mundhenk. wacv 2017: 916-923 [doi]

2016

A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep LearningT. Nathan Mundhenk, Goran Konjevod, Wesam A. Sakla, Kofi Boakye. eccv 2016: 785-800 [doi]

2015

PanDAR: a wide-area, frame-rate, and full color lidar with foveated region using backfilling interpolation upsamplingT. Nathan Mundhenk, Kyungnam Kim, Yuri Owechko. ei-iriacv 2015: [doi]

2014

Frame Rate Fusion and Upsampling of EO/LIDAR Data for Multiple PlatformsT. Nathan Mundhenk, Kyungnam Kim, Yuri Owechko. cvpr 2014: 762-769 [doi]

Classification and segmentation of orbital space based objects against terrestrial distractors for the purpose of finding holes in shape from motion 3D reconstructionT. Nathan Mundhenk, Arturo Flores, Heiko Hoffman. ei-iriacv 2014: [doi]

2012

Detection of unknown targets from aerial camera and extraction of simple object fingerprints for the purpose of target reacquisitionT. Nathan Mundhenk, Kang-Yu Ni, Yang Chen, Kyungnam Kim, Yuri Owechko. ei-iriacv 2012: [doi]

2011

High precision object segmentation and tracking for use in super resolution video reconstructionT. Nathan Mundhenk, Rashmi Sundareswara, David R. Gerwe, Yang Chen. ei-iriacv 2011: [doi]

2005

Computational modeling and exploration of contour integration for visual saliencyT. Nathan Mundhenk, Laurent Itti. bc, 93(3):188-212, 2005. [doi]

2004

Biologically inspired feature-based categorization of objectsT. Nathan Mundhenk, Vidhya Navalpakkam, Hendrik Makaliwe, Shrihari Vasudevan, Laurent Itti. hvei 2004: 330-341 [doi]

2003

CINNIC, a new computational algorithm for the modeling of early visual contour integration in humansT. Nathan Mundhenk, Laurent Itti. ijon, 52-54:599-604, 2003. [doi]

2002

A New Robotics Platform for Neuromorphic Vision: BeobotsDaesu Chung, Reid Hirata, T. Nathan Mundhenk, Jen Ng, Robert J. Peters, Eric Pichon, April Tsui, Tong Ventrice, Dirk Walther, Philip Williams, Laurent Itti. bmcv 2002: 558-566 [doi]

A Model of Contour Integration in Early Visual CortexT. Nathan Mundhenk, Laurent Itti. bmcv 2002: 80-89 [doi]

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