Terrell Mundhenk
Terrell Mundhenk
Scientist, Lawrence Livermore National Lab
Verified email at mundhenk.com - Homepage
Cited by
Cited by
A large contextual dataset for classification, detection and counting of cars with deep learning
TN Mundhenk, G Konjevod, WA Sakla, K Boakye
European Conference on Computer Vision, 785-800, 2016
Schizophrenia and the mirror system: an essay
MA Arbib, TN Mundhenk
Neuropsychologia 43 (2), 268-280, 2005
Improvements to context based self-supervised learning
TN Mundhenk, D Ho, BY Chen
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
A bottom–up model of spatial attention predicts human error patterns in rapid scene recognition
W Einhäuser, TN Mundhenk, P Baldi, C Koch, L Itti
Journal of Vision 7 (10), 6-6, 2007
Computational modeling and exploration of contour integration for visual saliency
TN Mundhenk, L Itti
Biological cybernetics 93 (3), 188-212, 2005
Techniques for fisheye lens calibration using a minimal number of measurements
TN Mundhenk, MJ Rivett, X Liao, EL Hall
Intelligent Robots and Computer Vision XIX: Algorithms, Techniques, and …, 2000
Backfilling points in a point cloud
TN Mundhenk, Y Owechko, K Kim
US Patent 9,811,880, 2017
Deep multi-modal vehicle detection in aerial ISR imagery
W Sakla, G Konjevod, TN Mundhenk
2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 916-923, 2017
System for identifying regions of interest in visual imagery
D Khosla, R Bhattacharyya, TN Mundhenk, DJ Huber
US Patent 8,774,517, 2014
A new robotics platform for neuromorphic vision: Beobots
D Chung, R Hirata, TN Mundhenk, J Ng, RJ Peters, E Pichon, A Tsui, ...
International Workshop on Biologically Motivated Computer Vision, 558-566, 2002
Backfilling clouds of 3D coordinates
TN Mundhenk, Y Owechko, K Kim
US Patent 9,772,405, 2017
System and method to improve object tracking using tracking fingerprints
K Kim, C Jeong, TN Mundhenk, Y Owechko
US Patent 9,940,726, 2018
Method and system for using fingerprints to track moving objects in video
TN Mundhenk, K Kim, Y Owechko
US Patent 8,811,670, 2014
Ninety degree coupler for radio frequency degraded circuits
PP Chominski
US Patent 6,639,490, 2003
Stereo-motion method of three-dimensional (3-D) structure information extraction from a video for fusion with 3-D point cloud data
TN Mundhenk, HW Chen, Y Owechko, D Korchev, K Kim, Z Zhang
US Patent 9,761,002, 2017
Automatic computation of an image’s statistical surprise predicts performance of human observers on a natural image detection task
TN Mundhenk, W Einhäuser, L Itti
Vision Research 49 (13), 1620-1637, 2009
Efficient saliency maps for Explainable AI
TN Mundhenk, BY Chen, G Friedland
arXiv preprint arXiv:1911.11293, 2019
Predicting compressive strength of consolidated molecular solids using computer vision and deep learning
B Gallagher, M Rever, D Loveland, TN Mundhenk, B Beauchamp, ...
Materials & Design 190, 108541, 2020
A model of contour integration in early visual cortex
TN Mundhenk, L Itti
International Workshop on Biologically Motivated Computer Vision, 80-89, 2002
Visual surveillance coverage: strategies and metrics
J Everist, TN Mundhenk, C Landauer, K Bellman
Intelligent Robots and Computer Vision XXIII: Algorithms, Techniques, and …, 2005
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