T. Nathan Mundhenk - researchr alias

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Viewing Publication 1 - 16 from 16

2025

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

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]

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