Nathan Jacobs

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Scott WorkmanDZYNE TechnologiesVerified email at uky.edu
Robert PlessGeorge Washington UniversityVerified email at gwu.edu
Gongbo (Tony) LiangAssistant Professor of Computer Science, Texas A&M University-San AntonioVerified email at tamusa.edu
Menghua ZhaiUniversity of KentuckyVerified email at cs.uky.edu
Yu ZhangMachine Learning Engineer @ Bastian Solutions, a Toyota Advanced Logistics companyVerified email at uky.edu
Hunter BlantonUniversity of KentuckyVerified email at uky.edu
Richard SouvenirProfessor of Computer & Information Sciences, Temple UniversityVerified email at temple.edu
Connor GreenwellSenior Research Scientist, Kitware Inc.Verified email at kitware.com
Xin XingPhD Candidate in Computer Science, University of KentuckyVerified email at g.uky.edu
Zachary BessingerSenior Applied Scientist, Zillow GroupVerified email at zillowgroup.com
Tawfiq SalemPurdue UniversityVerified email at purdue.edu
Ai-Ling LinProfessor and Vice Chair for Research of Radiology, University of Missouri-ColumbiaVerified email at health.missouri.edu
Radu Paul MihailValdosta State UniversityVerified email at valdosta.edu
Muhammad Usman RafiquePhD Candidate, University of KentuckyVerified email at uky.edu
Mohammad Tariqul IslamAssociate Professor, Southern Connecticut State UniversityVerified email at southernct.edu
Xiao Xiang ZhuTechnical University of MunichVerified email at tum.de
Devis TuiaEcole Polytechnique Fédérale de Lausanne (EPFL)Verified email at epfl.ch
James HaysGeorgia TechVerified email at gatech.edu
Nam VoGoogleVerified email at gatech.edu
David ZieglerAssistant Professor of Neurology and Director of Multimodal Biosensing, Neuroscape, UCSFVerified email at ucsf.edu

Nathan Jacobs

Professor, Computer Science & Engineering, Washington University in St. Louis

Verified email at wustl.edu - Homepage

computer vision remote sensing medical imaging


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Wide-Area Image Geolocalization with Aerial Reference Imagery S Workman, R Souvenir, N Jacobs IEEE International Conference on Computer Vision (ICCV), 2015	247	2015
Consistent temporal variations in many outdoor scenes N Jacobs, N Roman, R Pless IEEE Conference on Computer Vision and Pattern Recognition, 1-6, 2007	216	2007
Predicting Ground-Level Scene Layout from Aerial Imagery M Zhai, Z Bessinger, S Workman, N Jacobs IEEE Conference on Computer Vision and Pattern Recognition, 2017	165	2017
Geolocating static cameras N Jacobs, S Satkin, N Roman, R Speyer, R Pless IEEE International Conference on Computer Vision, 1-6, 2007	142	2007
The global network of outdoor webcams: properties and applications N Jacobs, W Burgin, N Fridrich, A Abrams, K Miskell, BH Braswell, ... ACM SIGSPATIAL International Conference on Advances in Geographic …, 2009	137	2009
Revisiting IM2GPS in the Deep Learning Era N Vo, N Jacobs, J Hays IEEE International Conference on Computer Vision, 2017	120	2017
Detecting Vanishing Points Using Global Image Context in a Non-Manhattan World M Zhai, S Workman, N Jacobs IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5657-5665, 2016	110	2016
Inconsistent performance of deep learning models on mammogram classification X Wang, G Liang, Y Zhang, H Blanton, Z Bessinger, N Jacobs Journal of the American College of Radiology 17 (6), 796-803, 2020	107	2020
Classification of whole mammogram and tomosynthesis images using deep convolutional neural networks X Zhang, Y Zhang, E Han, N Jacobs, Q Han, X Wang, J Liu IEEE Transactions on NanoBioscience, 2018	95	2018
Horizon Lines in the Wild S Workman, M Zhai, N Jacobs British Machine Vision Conference, 2016	90	2016
On the Location Dependence of Convolutional Neural Network Features S Workman, N & Jacobs IEEE/ISPRS Workshop: Looking from above: When Earth observation meets vision …, 2015	89	2015
DeepFocal: A Method for Direct Focal Length Estimation S Workman, C Greenwell, M Zhai, R Baltenberger, N Jacobs International Conference on Image Processing (ICIP), 2015	84	2015
Deep learning for conifer/deciduous classification of airborne LiDAR 3D point clouds representing individual trees H Hamraz, NB Jacobs, MA Contreras, CH Clark ISPRS Journal of Photogrammetry and Remote Sensing, 2019	82	2019
Learning to Look around Objects for Top-View Representations of Outdoor Scenes S Schulter, M Zhai, N Jacobs, M Chandraker European Conference on Computer Vision (arXiv preprint arXiv:1803.10870), 2018	70	2018
A Unified Model for Near and Remote Sensing S Workman, M Zhai, DJ Crandall, N Jacobs IEEE International Conference on Computer Vision, 2017	61	2017
Beta-amyloid and tau drive early Alzheimer's disease decline while glucose hypometabolism drives late decline TC Hammond, X Xing, C Wang, D Ma, K Nho, PK Crane, F Elahi, ... Communications Biology, 2020	51	2020
Whole Mammogram Image Classification With Convolutional Neural Networks X Zhang, Y Zhang, E Han, N Jacobs, Q Han, X Wang, J Liu IEEE International Conference on Bioinformatics and Biomedicine, 2017	49	2017
Spatio-temporal deep learning approach to map deforestation in amazon rainforest RV Maretto, LMG Fonseca, N Jacobs, TS Körting, HN Bendini, LL Parente IEEE Geoscience and Remote Sensing Letters 18 (5), 771-775, 2020	43	2020
Toward fully automatic geo-location and geo-orientation of static outdoor cameras N Jacobs, N Roman, R Pless IEEE Workshop on Applications of Computer Vision, 1-6, 2008	43	2008
Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification G Liang, Y Zhang, X Wang, N Jacobs British Machine Vision Conference (BMVC), 2020	40	2020

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