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
Yu ZhangMachine Learning Engineer @ Bastian Solutions, a Toyota Advanced Logistics companyVerified email at uky.edu
Menghua ZhaiUniversity of KentuckyVerified email at cs.uky.edu
Xin XingUniversity of Nebraska OmahaVerified email at unomaha.edu
Hunter BlantonYemboVerified email at yembo.ai
Richard SouvenirProfessor of Computer & Information Sciences, Temple UniversityVerified email at temple.edu
Connor GreenwellSenior Research Scientist, Kitware Inc.Verified email at kitware.com
Ai-Ling LinProfessor and Vice Chair for Research of Radiology, University of Missouri-ColumbiaVerified email at health.missouri.edu
Muhammad Usman RafiqueResearch Scientist (Computer Vision), Bastian SolutionsVerified email at uky.edu
Zachary BessingerSenior Applied Scientist, Zillow GroupVerified email at zillowgroup.com
Tawfiq SalemPurdue UniversityVerified email at purdue.edu
Radu Paul MihailValdosta State UniversityVerified email at valdosta.edu
Subash KhanalWashington University in St. LouisVerified email at wustl.edu
Mohammad Tariqul IslamAssociate Professor, Southern Connecticut State UniversityVerified email at southernct.edu
Aayush DhakalPhD Student, Washington University in St. LouisVerified email at wustl.edu
Srikumar SastryStudent, Washington University in St. LouisVerified email at wustl.edu
liangliang liuHenan Agricultural UniversityVerified email at henau.edu.cn
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


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Wide-Area Image Geolocalization with Aerial Reference Imagery S Workman, R Souvenir, N Jacobs IEEE International Conference on Computer Vision (ICCV), 2015	340	2015
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	234	2017
Consistent temporal variations in many outdoor scenes N Jacobs, N Roman, R Pless IEEE Conference on Computer Vision and Pattern Recognition, 1-6, 2007	225	2007
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	149	2020
Revisiting IM2GPS in the Deep Learning Era N Vo, N Jacobs, J Hays IEEE International Conference on Computer Vision, 2017	146	2017
Geolocating static cameras N Jacobs, S Satkin, N Roman, R Speyer, R Pless IEEE International Conference on Computer Vision, 1-6, 2007	145	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	143	2009
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	133	2018
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	125	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	121	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	113	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	109	2019
Horizon Lines in the Wild S Workman, M Zhai, N Jacobs British Machine Vision Conference, 2016	105	2016
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	96	2020
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	93	2018
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	71	2020
Toward a collective agenda on ai for earth science data analysis D Tuia, R Roscher, JD Wegner, N Jacobs, X Zhu, G Camps-Valls IEEE Geoscience and Remote Sensing Magazine 9 (2), 88-104, 2021	68	2021
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	64	2020
A Unified Model for Near and Remote Sensing S Workman, M Zhai, DJ Crandall, N Jacobs IEEE International Conference on Computer Vision, 2017	62	2017
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	58	2017

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