| Wide-Area Image Geolocalization with Aerial Reference Imagery S Workman, R Souvenir, N Jacobs IEEE International Conference on Computer Vision (ICCV), 2015 | 491 | 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 | 331 | 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 | 235 | 2007 |
| Revisiting IM2GPS in the Deep Learning Era N Vo, N Jacobs, J Hays IEEE International Conference on Computer Vision, 2017 | 203 | 2017 |
| 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 | 177 | 2020 |
| 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 | 160 | 2016 |
| 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 | 159 | 2018 |
| 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 | 158 | 2015 |
| 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 | 155 | 2009 |
| Geolocating static cameras N Jacobs, S Satkin, N Roman, R Speyer, R Pless IEEE International Conference on Computer Vision, 1-6, 2007 | 149 | 2007 |
| 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 | 148 | 2015 |
| Horizon Lines in the Wild S Workman, M Zhai, N Jacobs British Machine Vision Conference, 2016 | 133 | 2016 |
| 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 | 132 | 2019 |
| 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 | 117 | 2020 |
| 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 | 103 | 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 | 100 | 2021 |
| 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 | 100 | 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 | 99 | 2018 |
| Enhancing global estimation of fine particulate matter concentrations by including geophysical a priori information in deep learning S Shen, C Li, A van Donkelaar, N Jacobs, C Wang, RV Martin ACS ES&T Air, 2024 | 97 | 2024 |
| A Unified Model for Near and Remote Sensing S Workman, M Zhai, DJ Crandall, N Jacobs IEEE International Conference on Computer Vision, 2017 | 72 | 2017 |
Scott WorkmanCV/ML ResearcherVerified email at uky.edu
![Adeel Ahmad [Ph.D.]](https://scholar.googleusercontent.com/citations?view_op=small_photo&user=_Ryh8ywAAAAJ&citpid=8)
