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ORCIDNathan Jacobs
Nathan B. Jacobs
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- affiliation: University of Kentucky, Lexington, KY, USA
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2020 – today
- 2022
[j11]Gongbo Liang, Halemane Ganesh, Dylan Steffe, Liangliang Liu, Nathan Jacobs, Jie Zhang:
Development of CNN models for the enteral feeding tube positioning assessment on a small scale data set. BMC Medical Imaging 22(1): 52 (2022)- [j10]Rafael Padilha
, Tawfiq Salem, Scott Workman, Fernanda A. Andaló, Anderson Rocha, Nathan Jacobs:
Content-Aware Detection of Temporal Metadata Manipulation. IEEE Trans. Inf. Forensics Secur. 17: 1316-1327 (2022) - [j9]Gongbo Liang, Connor Greenwell, Yu Zhang, Xin Xing, Xiaoqin Wang, Ramakanth Kavuluru, Nathan Jacobs:
Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging. IEEE J. Biomed. Health Informatics 26(4): 1640-1649 (2022) - [c92]Xin Xing, Chong Peng, Yu Zhang, Ai-Ling Lin, Nathan Jacobs:
AssocFormer: Association Transformer for Multi-label Classification. BMVC 2022: 619 - [c91]Scott Workman, Muhammad Usman Rafique, Hunter Blanton, Nathan Jacobs:
Revisiting Near/Remote Sensing with Geospatial Attention. CVPR 2022: 1768-1777 - [c90]Eric Xing, Liangliang Liu, Xin Xing, Yunni Qu, Nathan Jacobs, Gongbo Liang:
Neural Network Decision-Making Criteria Consistency Analysis via Inputs Sensitivity. ICPR 2022: 2328-2334 - [c89]Xin Xing, Gongbo Liang, Yu Zhang, Subash Khanal, Ai-Ling Lin, Nathan Jacobs:
Advit: Vision Transformer On Multi-Modality Pet Images For Alzheimer Disease Diagnosis. ISBI 2022: 1-4 - [c88]Hunter Blanton, Scott Workman, Nathan Jacobs:
A Structure-Aware Method for Direct Pose Estimation. WACV 2022: 205-214 - [i38]Scott Workman, Muhammad Usman Rafique, Hunter Blanton, Nathan Jacobs:
Revisiting Near/Remote Sensing with Geospatial Attention. CoRR abs/2204.01807 (2022) - [i37]Subash Khanal, Benjamin Brodie, Xin Xing, Ai-Ling Lin, Nathan Jacobs:
Causality for Inherently Explainable Transformers: CAT-XPLAIN. CoRR abs/2206.14841 (2022) - [i36]Xiao Xiang Zhu, Yuanyuan Wang, Mrinalini Kochupillai, Martin Werner, Matthias Häberle, Eike Jens Hoffmann, Hannes Taubenböck, Devis Tuia, Alex Levering, Nathan Jacobs, Anna M. Kruspe, Karam Abdulahhad:
Geo-Information Harvesting from Social Media Data. CoRR abs/2211.00543 (2022) - [i35]Anindya Sarkar, Michael Lanier, Scott Alfeld, Roman Garnett, Nathan Jacobs, Yevgeniy Vorobeychik:
A Visual Active Search Framework for Geospatial Exploration. CoRR abs/2211.15788 (2022) - 2021
- [j8]Raian Vargas Maretto, Leila M. G. Fonseca, Nathan Jacobs, Thales Sehn Körting, Hugo N. Bendini, Leandro Parente:
Spatio-Temporal Deep Learning Approach to Map Deforestation in Amazon Rainforest. IEEE Geosci. Remote. Sens. Lett. 18(5): 771-775 (2021) - [c87]Subash Khanal, Jin Chen, Nathan Jacobs, Ai-Ling Lin:
Alzheimer's Disease Classification Using Genetic Data. BIBM 2021: 2245-2252 - [c86]Yu Zhang, Gongbo Liang, Nathan Jacobs:
Dynamic Feature Alignment for Semi-supervised Domain Adaptation. BMVC 2021: 211 - [c85]Muhammad Usman Rafique, Yu Zhang, Benjamin Brodie, Nathan Jacobs:
Unifying Guided and Unguided Outdoor Image Synthesis. CVPR Workshops 2021: 776-785 - [c84]Gongbo Liang, Xin Xing, Liangliang Liu, Yu Zhang, Qi Ying, Ai-Ling Lin, Nathan Jacobs:
Alzheimer's Disease Classification Using 2D Convolutional Neural Networks. EMBC 2021: 3008-3012 - [c83]Qi Ying, Xin Xing, Liangliang Liu, Ai-Ling Lin, Nathan Jacobs, Gongbo Liang:
Multi-Modal Data Analysis for Alzheimer's Disease Diagnosis: An Ensemble Model Using Imagery and Genetic Features. EMBC 2021: 3586-3591 - [c82]Benjamin Brodie, Subash Khanal, Muhammad Usman Rafique, Connor Greenwell, Nathan Jacobs:
Hierarchical Probabilistic Embeddings for Multi-View Image Classification. IGARSS 2021: 1011-1014 - [c81]David Jones, Nathan Jacobs:
Intensity Harmonization for Airborne LiDAR. IGARSS 2021: 4324-4327 - [i34]Rafael Padilha, Tawfiq Salem, Scott Workman, Fernanda A. Andaló, Anderson Rocha, Nathan Jacobs:
Content-Based Detection of Temporal Metadata Manipulation. CoRR abs/2103.04736 (2021) - [i33]Devis Tuia, Ribana Roscher, Jan Dirk Wegner, Nathan Jacobs, Xiao Xiang Zhu, Gustau Camps-Valls:
Towards a Collective Agenda on AI for Earth Science Data Analysis. CoRR abs/2104.05107 (2021) - [i32]David Jones, Nathan Jacobs:
Intensity Harmonization for Airborne LiDAR. CoRR abs/2105.01793 (2021) - [i31]Yu Zhang, Gongbo Liang, Nathan Jacobs:
Dynamic Feature Alignment for Semi-supervised Domain Adaptation. CoRR abs/2110.09641 (2021) - 2020
- [c80]Gongbo Liang, Yu Zhang, Xiaoqin Wang, Nathan Jacobs:
Improved Trainable Calibration Method for Neural Networks. BMVC 2020 - [c79]Muhammad Usman Rafique, Hunter Blanton, Noah Snavely, Nathan Jacobs:
Generative Appearance Flow: A Hybrid Approach for Outdoor View Synthesis. BMVC 2020 - [c78]Hunter Blanton, Connor Greenwell, Scott Workman, Nathan Jacobs:
Extending Absolute Pose Regression to Multiple Scenes. CVPR Workshops 2020: 170-178 - [c77]Armin Hadzic, Hunter Blanton, Weilian Song, Mei Chen, Scott Workman, Nathan Jacobs:
RasterNet: Modeling Free-Flow Speed using LiDAR and Overhead Imagery. CVPR Workshops 2020: 826-834 - [c76]Scott Workman, Nathan Jacobs:
Dynamic Traffic Modeling From Overhead Imagery. CVPR 2020: 12312-12321 - [c75]Tawfiq Salem, Scott Workman, Nathan Jacobs:
Learning a Dynamic Map of Visual Appearance. CVPR 2020: 12432-12441 - [c74]Xin Xing, Gongbo Liang, Hunter Blanton, Muhammad Usman Rafique, Chris Wang, Ai-Ling Lin, Nathan Jacobs:
Dynamic Image for 3D MRI Image Alzheimer's Disease Classification. ECCV Workshops (1) 2020: 355-364 - [c73]Gongbo Liang, Xiaoqin Wang, Yu Zhang, Nathan Jacobs:
Weakly-Supervised Self-Training for Breast Cancer Localization*. EMBC 2020: 1124-1127 - [c72]Yu Zhang, Gongbo Liang, Yuanyuan Su, Nathan Jacobs:
Multi-Branch Attention Networks for Classifying Galaxy Clusters. ICPR 2020: 9643-9649 - [c71]Hunter Blanton, Sean Grate, Nathan Jacobs:
Surface Modeling for Airborne Lidar. IGARSS 2020: 1110-1113 - [c70]Armin Hadzic, Gordon A. Christie, Jeffrey Freeman, Amber Dismer, Stevan Bullard, Ashley Greiner, Nathan Jacobs, Ryan Mukherjee:
Estimating Displaced Populations from Overhead. IGARSS 2020: 1121-1124 - [c69]Scott Workman, Muhammad Usman Rafique, Hunter Blanton, Connor Greenwell, Nathan Jacobs:
Single Image Cloud Detection via Multi-Image Fusion. IGARSS 2020: 1468-1471 - [i30]Yu Zhang, Gongbo Liang, Tawfiq Salem, Nathan Jacobs:
Defense-PointNet: Protecting PointNet Against Adversarial Attacks. CoRR abs/2002.11881 (2020) - [i29]Yu Zhang, Xiaoqin Wang, Hunter Blanton, Gongbo Liang, Xin Xing, Nathan Jacobs:
2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification. CoRR abs/2002.12314 (2020) - [i28]Gongbo Liang, Xiaoqin Wang, Yu Zhang, Xin Xing, Hunter Blanton, Tawfiq Salem, Nathan Jacobs:
Joint 2D-3D Breast Cancer Classification. CoRR abs/2002.12392 (2020) - [i27]Yu Zhang, Gongbo Liang, Nathan Jacobs, Xiaoqin Wang:
Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization. CoRR abs/2003.01111 (2020) - [i26]Armin Hadzic, Hunter Blanton, Weilian Song, Mei Chen, Scott Workman, Nathan Jacobs:
RasterNet: Modeling Free-Flow Speed using LiDAR and Overhead Imagery. CoRR abs/2006.08021 (2020) - [i25]Armin Hadzic, Gordon A. Christie, Jeffrey Freeman, Amber Dismer, Stevan Bullard, Ashley Greiner, Nathan Jacobs, Ryan Mukherjee:
Estimating Displaced Populations from Overhead. CoRR abs/2006.14547 (2020) - [i24]Scott Workman, Muhammad Usman Rafique, Hunter Blanton, Connor Greenwell, Nathan Jacobs:
Single Image Cloud Detection via Multi-Image Fusion. CoRR abs/2007.15144 (2020) - [i23]Gongbo Liang, Yu Zhang, Xiaoqin Wang, Nathan Jacobs:
Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification. CoRR abs/2009.04057 (2020) - [i22]Gongbo Liang, Connor Greenwell, Yu Zhang, Xiaoqin Wang, Ramakanth Kavuluru, Nathan Jacobs:
Weakly-Supervised Feature Learning via Text and Image Matching. CoRR abs/2010.03060 (2020) - [i21]Xin Xing, Gongbo Liang, Hunter Blanton, Muhammad Usman Rafique, Chris Wang, Ai-Ling Lin, Nathan Jacobs:
Dynamic Image for 3D MRI Image Alzheimer's Disease Classification. CoRR abs/2012.00119 (2020) - [i20]Gongbo Liang, Yuanyuan Su, Sheng-Chieh Lin, Yu Zhang, Yuanyuan Zhang, Nathan Jacobs:
Optical Wavelength Guided Self-Supervised Feature Learning For Galaxy Cluster Richness Estimate. CoRR abs/2012.02368 (2020) - [i19]Scott Workman, Nathan Jacobs:
Dynamic Traffic Modeling From Overhead Imagery. CoRR abs/2012.10530 (2020) - [i18]Hunter Blanton, Scott Workman, Nathan Jacobs:
A Structure-Aware Method for Direct Pose Estimation. CoRR abs/2012.12360 (2020) - [i17]Tawfiq Salem, Scott Workman, Nathan Jacobs:
Learning a Dynamic Map of Visual Appearance. CoRR abs/2012.14885 (2020)
2010 – 2019
- 2019
- [j7]Hasan Sajid, Sen-Ching S. Cheung, Nathan Jacobs:
Motion and appearance based background subtraction for freely moving cameras. Signal Process. Image Commun. 75: 11-21 (2019) - [c68]Connor Greenwell, Scott Workman, Nathan Jacobs:
Implicit Land Use Mapping Using Social Media Imagery. AIPR 2019: 1-4 - [c67]Gongbo Liang, Xiaoqin Wang, Yu Zhang, Xin Xing, Hunter Blanton, Tawfiq Salem, Nathan Jacobs:
Joint 2D-3D Breast Cancer Classification. BIBM 2019: 692-696 - [c66]Yu Zhang, Xiaoqin Wang, Hunter Blanton, Gongbo Liang, Xin Xing, Nathan Jacobs:
2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification. BIBM 2019: 1013-1017 - [c65]Yu Zhang, Gongbo Liang, Tawfiq Salem, Nathan Jacobs:
Defense-PointNet: Protecting PointNet Against Adversarial Attacks. IEEE BigData 2019: 5654-5660 - [c64]Muhammad Usman Rafique, Hunter Blanton, Nathan Jacobs:
Weakly Supervised Fusion of Multiple Overhead Images. CVPR Workshops 2019: 1479-1486 - [c63]Gongbo Liang, Sajjad Fouladvand, Jie Zhang, Michael A. Brooks, Nathan Jacobs, Jin Chen:
GANai: Standardizing CT Images using Generative Adversarial Network with Alternative Improvement. ICHI 2019: 1-11 - [c62]Weilian Song, Tawfiq Salem, Hunter Blanton, Nathan Jacobs:
Remote Estimation of Free-Flow Speeds. IGARSS 2019: 791-794 - [c61]Muhammad Usman Rafique, Nathan Jacobs:
Weakly Supervised Building Segmentation from Aerial Images. IGARSS 2019: 3955-3958 - [c60]Tawfiq Salem, Connor Greenwell, Hunter Blanton, Nathan Jacobs:
Learning to Map Nearly Anything. IGARSS 2019: 4803-4806 - [c59]Zachary Bessinger, Nathan Jacobs:
A Generative Model of Worldwide Facial Appearance. WACV 2019: 1569-1578 - [i16]Weilian Song, Scott Workman, Armin Hadzic, Xu Zhang, Eric Green, Mei Chen, Reginald R. Souleyrette, Nathan Jacobs:
FARSA: Fully Automated Roadway Safety Assessment. CoRR abs/1901.06013 (2019) - [i15]Weilian Song, Tawfiq Salem, Hunter Blanton, Nathan Jacobs:
Remote Estimation of Free-Flow Speeds. CoRR abs/1906.10104 (2019) - [i14]Tawfiq Salem, Connor Greenwell, Hunter Blanton, Nathan Jacobs:
Learning to Map Nearly Anything. CoRR abs/1909.06928 (2019) - [i13]Menghua Zhai, Tawfiq Salem, Connor Greenwell, Scott Workman, Robert Pless, Nathan Jacobs:
Learning Geo-Temporal Image Features. CoRR abs/1909.07499 (2019) - 2018
- [c58]Radu Paul Mihail, Nathan Jacobs:
Automatic Hand Skeletal Shape Estimation from Radiographs. BIBM 2018: 919-926 - [c57]Menghua Zhai, Tawfiq Salem, Connor Greenwell, Scott Workman, Robert Pless, Nathan Jacobs:
Learning Geo-Temporal Image Features. BMVC 2018: 144 - [c56]Tawfiq Salem, Menghua Zhai, Scott Workman, Nathan Jacobs:
A Multimodal Approach to Mapping Soundscapes. CVPR Workshops 2018: 2524-2527 - [c55]Samuel Schulter, Menghua Zhai, Nathan Jacobs, Manmohan Chandraker:
Learning to Look around Objects for Top-View Representations of Outdoor Scenes. ECCV (15) 2018: 815-831 - [c54]Nathan Jacobs, Adam Kraft, Muhammad Usman Rafique, Ranti Dev Sharma:
A weakly supervised approach for estimating spatial density functions from high-resolution satellite imagery. SIGSPATIAL/GIS 2018: 33-42 - [c53]Tawfiq Salem, Menghua Zhai, Scott Workman, Nathan Jacobs:
A Multimodal Approach to Mapping Soundscapes. IGARSS 2018: 3477-3480 - [c52]Connor Greenwell, Scott Workman, Nathan Jacobs:
What Goes Where: Predicting Object Distributions from Above. IGARSS 2018: 4375-4378 - [c51]Weilian Song, Scott Workman, Armin Hadzic, Xu Zhang, Eric Green, Mei Chen, Reginald R. Souleyrette, Nathan Jacobs:
FARSA: Fully Automated Roadway Safety Assessment. WACV 2018: 521-529 - [i12]Hamid Hamraz, Nathan B. Jacobs, Marco A. Contreras, Chase H. Clark:
Deep learning for conifer/deciduous classification of airborne LiDAR 3D point clouds representing individual trees. CoRR abs/1802.08872 (2018) - [i11]Samuel Schulter, Menghua Zhai, Nathan Jacobs, Manmohan Chandraker:
Learning to Look around Objects for Top-View Representations of Outdoor Scenes. CoRR abs/1803.10870 (2018) - [i10]Connor Greenwell, Scott Workman, Nathan Jacobs:
What Goes Where: Predicting Object Distributions from Above. CoRR abs/1808.00995 (2018) - [i9]Nathan Jacobs, Adam Kraft, Muhammad Usman Rafique, Ranti Dev Sharma:
A Weakly Supervised Approach for Estimating Spatial Density Functions from High-Resolution Satellite Imagery. CoRR abs/1810.09528 (2018) - 2017
- [c50]Xiaofei Zhang, Yi Zhang, Erik Y. Han, Nathan Jacobs, Qiong Han, Xiaoqin Wang, Jinze Liu:
Whole mammogram image classification with convolutional neural networks. BIBM 2017: 700-704 - [c49]Menghua Zhai, Zachary Bessinger, Scott Workman, Nathan Jacobs:
Predicting Ground-Level Scene Layout from Aerial Imagery. CVPR 2017: 4132-4140 - [c48]Nam N. Vo, Nathan Jacobs, James Hays:
Revisiting IM2GPS in the Deep Learning Era. ICCV 2017: 2640-2649 - [c47]Scott Workman, Menghua Zhai, David J. Crandall, Nathan Jacobs:
A Unified Model for Near and Remote Sensing. ICCV 2017: 2707-2716 - [c46]Scott Workman, Richard Souvenir, Nathan Jacobs:
Understanding and Mapping Natural Beauty. ICCV 2017: 5590-5599 - [i8]Nam N. Vo, Nathan Jacobs, James Hays:
Revisiting IM2GPS in the Deep Learning Era. CoRR abs/1705.04838 (2017) - [i7]Scott Workman, Menghua Zhai, David J. Crandall, Nathan Jacobs:
A Unified Model for Near and Remote Sensing. CoRR abs/1708.03035 (2017) - 2016
- [j6]Nathan Jacobs, Scott Workman, Richard Souvenir:
Cloudmaps from static ground-view video. Image Vis. Comput. 52: 154-166 (2016) - [j5]Hasan Sajid, Sen-Ching S. Cheung, Nathan Jacobs:
Appearance based background subtraction for PTZ cameras. Signal Process. Image Commun. 47: 417-425 (2016) - [c45]Nathan Jacobs, Scott Workman, Menghua Zhai:
Cross-view convolutional networks. AIPR 2016: 1-5 - [c44]Scott Workman, Menghua Zhai, Nathan Jacobs:
Horizon Lines in the Wild. BMVC 2016 - [c43]Menghua Zhai, Scott Workman, Nathan Jacobs:
Detecting Vanishing Points Using Global Image Context in a Non-ManhattanWorld. CVPR 2016: 5657-5665 - [c42]Zachary Bessinger, Chris Stauffer, Nathan Jacobs:
Who goes there?: approaches to mapping facial appearance diversity. SIGSPATIAL/GIS 2016: 49:1-49:4 - [c41]Menghua Zhai, Scott Workman, Nathan Jacobs:
Camera geo-calibration using an MCMC approach. ICIP 2016: 2976-2980 - [c40]Zachary Bessinger, Nathan Jacobs:
Quantifying curb appeal. ICIP 2016: 4388-4392 - [c39]Ryan Baltenberger, Menghua Zhai, Connor Greenwell, Scott Workman, Nathan Jacobs:
A fast method for estimating transient scene attributes. WACV 2016: 1-8 - [c38]Radu Paul Mihail, Scott Workman, Zach Bessinger, Nathan Jacobs:
Sky segmentation in the wild: An empirical study. WACV 2016: 1-6 - [c37]Tawfiq Salem, Scott Workman, Menghua Zhai, Nathan Jacobs:
Analyzing human appearance as a cue for dating images. WACV 2016: 1-8 - [i6]Scott Workman, Menghua Zhai, Nathan Jacobs:
Horizon Lines in the Wild. CoRR abs/1604.02129 (2016) - [i5]Menghua Zhai, Scott Workman, Nathan Jacobs:
Detecting Vanishing Points using Global Image Context in a Non-Manhattan World. CoRR abs/1608.05684 (2016) - [i4]Menghua Zhai, Zachary Bessinger, Scott Workman, Nathan Jacobs:
Predicting Ground-Level Scene Layout from Aerial Imagery. CoRR abs/1612.02709 (2016) - [i3]Scott Workman, Richard Souvenir, Nathan Jacobs:
Quantifying and Predicting Image Scenicness. CoRR abs/1612.03142 (2016) - 2015
- [j4]Scott Workman, Richard Souvenir, Nathan Jacobs:
Scene shape estimation from multiple partly cloudy days. Comput. Vis. Image Underst. 134: 116-129 (2015) - [j3]Mohammad T. Islam, Connor Greenwell, Richard Souvenir, Nathan Jacobs:
Large-scale geo-facial image analysis. EURASIP J. Image Video Process. 2015: 17 (2015) - [c36]Scott Workman, Nathan Jacobs:
On the location dependence of convolutional neural network features. CVPR Workshops 2015: 70-78 - [c35]Calvin Murdock, Nathan Jacobs, Robert Pless:
Building Dynamic Cloud Maps from the Ground Up. ICCV 2015: 684-692 - [c34]Scott Workman, Richard Souvenir, Nathan Jacobs:
Wide-Area Image Geolocalization with Aerial Reference Imagery. ICCV 2015: 3961-3969 - [c33]Scott Workman, Connor Greenwell, Menghua Zhai, Ryan Baltenberger, Nathan Jacobs:
DEEPFOCAL: A method for direct focal length estimation. ICIP 2015: 1369-1373 - [c32]Mohammad T. Islam, Scott Workman, Nathan Jacobs:
FACE2GPS: Estimating geographic location from facial features. ICIP 2015: 1608-1612 - [i2]Scott Workman, Richard Souvenir, Nathan Jacobs:
Wide-Area Image Geolocalization with Aerial Reference Imagery. CoRR abs/1510.03743 (2015) - 2014
- [c31]Ann Whitney, John Fessler, Johné M. Parker, Nathan Jacobs:
Received signal strength indication signature for passive UHF tags. AIM 2014: 1183-1187 - [c30]Scott Workman, Radu Paul Mihail, Nathan Jacobs:
A Pot of Gold: Rainbows as a Calibration Cue. ECCV (5) 2014: 820-835 - [c29]Connor Greenwell, Scott Spurlock, Richard Souvenir, Nathan Jacobs:
GeoFaceExplorer: exploring the geo-dependence of facial attributes. GEOGROWD 2014: 32-37 - [c28]Feiyu Shi, Menghua Zhai, Drew Duncan, Nathan Jacobs:
MPCA: EM-based PCA for mixed-size image datasets. ICIP 2014: 1807-1811 - [c27]Menghua Zhai, Feiyu Shi, Drew Duncan, Nathan Jacobs:
Covariance-Based PCA for Multi-size Data. ICPR 2014: 1603-1608 - [c26]Radu Paul Mihail, Gustav Blomquist, Nathan Jacobs:
A CRF approach to fitting a generalized hand skeleton model. WACV 2014: 409-416 - [c25]Nathan Jacobs, Joshua King, Daniel Bowers, Richard Souvenir:
Estimating cloudmaps from outdoor image sequences. WACV 2014: 961-968 - [c24]Mohammad T. Islam, Scott Workman, Hui Wu, Nathan Jacobs, Richard Souvenir:
Exploring the geo-dependence of human face appearance. WACV 2014: 1042-1049 - 2013
- [j2]Nathan Jacobs, Austin Abrams, Robert Pless:
Two Cloud-Based Cues for Estimating Scene Structure and Camera Calibration. IEEE Trans. Pattern Anal. Mach. Intell. 35(10): 2526-2538 (2013) - [c23]Radu Paul Mihail, Judy Goldsmith, Nathan Jacobs, Jerzy W. Jaromczyk:
Teaching graphics for games using Microsoft XNA. CGAMES 2013: 36-40 - [c22]Nathan Jacobs, Mohammad T. Islam, Scott Workman:
Cloud Motion as a Calibration Cue. CVPR 2013: 1344-1351 - [c21]