Nathan Jacobs - RankMe

215 papers A* 23A 27B 8C 17Misc 1Journal 91Unranked 48

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Beta Distribution Learning for Reliable Roadway Crash Risk Assessment. AAAI Ahmad Elallaf, Nathan Jacobs, Xinyue Ye, Mei Chen, Gongbo Liang
2026	J	`jnl`	GenOpticalFlow: A Generative Approach to Unsupervised Optical Flow Learning. CoRR YiXuan Luo, Feng Qiao, Zhexiao Xiong, Yanjing Li, Nathan Jacobs
2026	J	`jnl`	GeoDiT: Point-Conditioned Diffusion Transformer for Satellite Image Synthesis. CoRR Srikumar Sastry, Dan Cher, Brian Wei, Aayush Dhakal, Subash Khanal, Dev Gupta, Nathan Jacobs
2026	J	`jnl`	GroundingBooth: Grounding Text-to-Image Customization. Trans. Mach. Learn. Res. Zhexiao Xiong, Wei Xiong, Jing Shi, He Zhang, Yizhi Song, Nathan Jacobs
2026	J	`jnl`	PRUE: A Practical Recipe for Field Boundary Segmentation at Scale. CoRR Gedeon Muhawenayo, Caleb Robinson, Subash Khanal, Zhanpei Fang, Isaac Corley, Alexander Wollam, Tianyi Gao, Leonard Strnad, Ryan B. Avery, Lyndon D. Estes, Ana María Tárano, Nathan Jacobs, Hannah Kerner
2026	J	`jnl`	PhysAlign: Physics-Coherent Image-to-Video Generation through Feature and 3D Representation Alignment. CoRR Zhexiao Xiong, Yizhi Song, Liu He, Wei Xiong, Yu Yuan, Feng Qiao, Nathan Jacobs
2026	J	`jnl`	SimLBR: Learning to Detect Fake Images by Learning to Detect Real Images. CoRR Aayush Dhakal, Subash Khanal, Srikumar Sastry, Jacob Arndt, Philipe Ambrozio Dias, Dalton D. Lunga, Nathan Jacobs
2026	J	`jnl`	UniDrive-WM: Unified Understanding, Planning and Generation World Model For Autonomous Driving. CoRR Zhexiao Xiong, Xin Ye, Burhaneddin Yaman, Sheng Cheng, Yiren Lu, Jingru Luo, Nathan Jacobs, Liu Ren
2025	A*	`conf`	Active Geospatial Search for Efficient Tenant Eviction Outreach. AAAI Anindya Sarkar, Alex DiChristofano, Sanmay Das, Patrick J. Fowler, Nathan Jacobs, Yevgeniy Vorobeychik
2025	J	`jnl`	Beta Distribution Learning for Reliable Roadway Crash Risk Assessment. CoRR Ahmad Elallaf, Nathan Jacobs, Xinyue Ye, Mei Chen, Gongbo Liang
2025	A*	`conf`	ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval. CVPR Eric Xing, Pranavi Kolouju, Robert Pless, Abby Stylianou, Nathan Jacobs
2025	J	`jnl`	ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval. CoRR Eric Xing, Pranavi Kolouju, Robert Pless, Abby Stylianou, Nathan Jacobs
2025	—	`conf`	DeclutterNeRF: Generative-Free 3D Scene Recovery for Occlusion Removal. CVPR Workshops Wanzhou Liu, Zhexiao Xiong, Xinyu Li, Nathan Jacobs
2025	J	`jnl`	DeclutterNeRF: Generative-Free 3D Scene Recovery for Occlusion Removal. CoRR Wanzhou Liu, Zhexiao Xiong, Xinyu Li, Nathan Jacobs
2025	A*	`conf`	Fields of The World: A Machine Learning Benchmark Dataset for Global Agricultural Field Boundary Segmentation. AAAI Hannah Kerner, Snehal Chaudhari, Aninda Ghosh, Caleb Robinson, Adeel Ahmad, Eddie Choi, Nathan Jacobs, Chris Holmes, Matthias Mohr, Rahul Dodhia, Juan M. Lavista Ferres, Jennifer Marcus
2025	J	`jnl`	GenStereo: Towards Open-World Generation of Stereo Images and Unsupervised Matching. CoRR Feng Qiao, Zhexiao Xiong, Eric Xing, Nathan Jacobs
2025	J	`jnl`	Global and Local Entailment Learning for Natural World Imagery. CoRR Srikumar Sastry, Aayush Dhakal, Eric Xing, Subash Khanal, Nathan Jacobs
2025	J	`jnl`	Mixed-View Panorama Synthesis using Geospatially Guided Diffusion. Trans. Mach. Learn. Res. Zhexiao Xiong, Xin Xing, Scott Workman, Subash Khanal, Nathan Jacobs
2025	—	`conf`	PanoDreamer: Consistent Text to 360-Degree Scene Generation. CVPR Workshops Zhexiao Xiong, Zhang Chen, Zhong Li, Yi Xu, Nathan Jacobs
2025	J	`jnl`	PanoDreamer: Consistent Text to 360-Degree Scene Generation. CoRR Zhexiao Xiong, Zhang Chen, Zhong Li, Yi Xu, Nathan Jacobs
2025	J	`jnl`	ProM3E: Probabilistic Masked MultiModal Embedding Model for Ecology. CoRR Srikumar Sastry, Subash Khanal, Aayush Dhakal, Jiayu Lin, Dan Cher, Phoenix Jarosz, Nathan Jacobs
2025	J	`jnl`	QuARI: Query Adaptive Retrieval Improvement. CoRR Eric Xing, Abby Stylianou, Robert Pless, Nathan Jacobs
2025	A*	`conf`	RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings. CVPR Aayush Dhakal, Srikumar Sastry, Subash Khanal, Adeel Ahmad, Eric Xing, Nathan Jacobs
2025	J	`jnl`	RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings. CoRR Aayush Dhakal, Srikumar Sastry, Subash Khanal, Adeel Ahmad, Eric Xing, Nathan Jacobs
2025	J	`jnl`	Sat2Sound: A Unified Framework for Zero-Shot Soundscape Mapping. CoRR Subash Khanal, Srikumar Sastry, Aayush Dhakal, Adeel Ahmad, Nathan Jacobs
2025	A	`conf`	TaxaBind: A Unified Embedding Space for Ecological Applications. WACV Srikumar Sastry, Subash Khanal, Aayush Dhakal, Adeel Ahmad, Nathan Jacobs
2025	J	`jnl`	VectorSynth: Fine-Grained Satellite Image Synthesis with Structured Semantics. CoRR Daniel Cher, Brian Wei, Srikumar Sastry, Nathan Jacobs
2025	—	`conf`	good4cir: Generating Detailed Synthetic Captions for Composed Image Retrieval. CVPR Workshops Pranavi Kolouju, Eric Xing, Robert Pless, Nathan Jacobs, Abby Stylianou
2025	J	`jnl`	good4cir: Generating Detailed Synthetic Captions for Composed Image Retrieval. CoRR Pranavi Kolouju, Eric Xing, Robert Pless, Nathan Jacobs, Abby Stylianou
2024	A	`conf`	A Visual Active Search Framework for Geospatial Exploration. WACV Anindya Sarkar, Michael Lanier, Scott Alfeld, Jiarui Feng, Roman Garnett, Nathan Jacobs, Yevgeniy Vorobeychik
2024	J	`jnl`	Active Geospatial Search for Efficient Tenant Eviction Outreach. CoRR Anindya Sarkar, Alex DiChristofano, Sanmay Das, Patrick J. Fowler, Nathan Jacobs, Yevgeniy Vorobeychik
2024	C	`conf`	Aligning Geo-Tagged Clip Representations and Satellite Imagery for Few-Shot Land Use Classification. IGARSS Pallavi Jain, Diego Marcos, Dino Ienco, Roberto Interdonato, Aayush Dhakal, Nathan Jacobs, Tristan Berchoux
2024	A	`conf`	ArcGeo: Localizing Limited Field-of-View Images using Cross-view Matching. WACV Maxim Shugaev, Ilya Semenov, Kyle Ashley, Michael Klaczynski, Naresh P. Cuntoor, Mun Wai Lee, Nathan Jacobs
2024	A	`conf`	BirdSAT: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and Mapping. WACV Srikumar Sastry, Subash Khanal, Aayush Dhakal, Di Huang, Nathan Jacobs
2024	J	`jnl`	Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation. CoRR Hannah Kerner, Snehal Chaudhari, Aninda Ghosh, Caleb Robinson, Adeel Ahmad, Eddie Choi, Nathan Jacobs, Chris Holmes, Matthias Mohr, Rahul Dodhia, Juan M. Lavista Ferres, Jennifer Marcus
2024	—	`conf`	FroSSL: Frobenius Norm Minimization for Efficient Multiview Self-supervised Learning. ECCV (89) Oscar Skean, Aayush Dhakal, Nathan Jacobs, Luis Gonzalo Sánchez Giraldo
2024	J	`jnl`	GEOBIND: Binding Text, Image, and Audio through Satellite Images. CoRR Aayush Dhakal, Subash Khanal, Srikumar Sastry, Adeel Ahmad, Nathan Jacobs
2024	A*	`conf`	GOMAA-Geo: GOal Modality Agnostic Active Geo-localization. NeurIPS Anindya Sarkar, Srikumar Sastry, Aleksis Pirinen, Chongjie Zhang, Nathan Jacobs, Yevgeniy Vorobeychik
2024	J	`jnl`	GOMAA-Geo: GOal Modality Agnostic Active Geo-localization. CoRR Anindya Sarkar, Srikumar Sastry, Aleksis Pirinen, Chongjie Zhang, Nathan Jacobs, Yevgeniy Vorobeychik
2024	C	`conf`	GeoBind: Binding Text, Image, and Audio through Satellite Images. IGARSS Aayush Dhakal, Subash Khanal, Srikumar Sastry, Adeel Ahmad, Nathan Jacobs
2024	—	`conf`	GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis. CVPR Workshops Srikumar Sastry, Subash Khanal, Aayush Dhakal, Nathan Jacobs
2024	J	`jnl`	GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis. CoRR Srikumar Sastry, Subash Khanal, Aayush Dhakal, Nathan Jacobs
2024	A	`conf`	Geospatial Active Search for Preventing Evictions. AAMAS Anindya Sarkar, Alex DiChristofano, Sanmay Das, Patrick J. Fowler, Nathan Jacobs, Yevgeniy Vorobeychik
2024	J	`jnl`	GroundingBooth: Grounding Text-to-Image Customization. CoRR Zhexiao Xiong, Wei Xiong, Jing Shi, He Zhang, Yizhi Song, Nathan Jacobs
2024	—	`conf`	Interactive Event Sifting using Bayesian Graph Neural Networks. WIFS José Nascimento, Nathan Jacobs, Anderson Rocha
2024	J	`jnl`	Interactive Event Sifting using Bayesian Graph Neural Networks. CoRR José Nascimento, Nathan Jacobs, Anderson Rocha
2024	C	`conf`	Learning Interpretable Policies in Hindsight-Observable POMDPs Through Partially Supervised Reinforcement Learning. ICMLA Michael Lanier, Ying Xu, Nathan Jacobs, Chongjie Zhang, Yevgeniy Vorobeychik
2024	J	`jnl`	Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learning. CoRR Michael Lanier, Ying Xu, Nathan Jacobs, Chongjie Zhang, Yevgeniy Vorobeychik
2024	J	`jnl`	MCPDepth: Omnidirectional Depth Estimation via Stereo Matching from Multi-Cylindrical Panoramas. CoRR Feng Qiao, Zhexiao Xiong, Xinge Zhu, Yuexin Ma, Qiumeng He, Nathan Jacobs
2024	J	`jnl`	Mixed-View Panorama Synthesis using Geospatially Guided Diffusion. CoRR Zhexiao Xiong, Xin Xing, Scott Workman, Subash Khanal, Nathan Jacobs
2024	A*	`conf`	PSM: Learning Probabilistic Embeddings for Multi-scale Zero-Shot Soundscape Mapping. ACM Multimedia Subash Khanal, Eric Xing, Srikumar Sastry, Aayush Dhakal, Zhexiao Xiong, Adeel Ahmad, Nathan Jacobs
2024	J	`jnl`	PSM: Learning Probabilistic Embeddings for Multi-scale Zero-Shot Soundscape Mapping. CoRR Subash Khanal, Eric Xing, Srikumar Sastry, Aayush Dhakal, Zhexiao Xiong, Adeel Ahmad, Nathan Jacobs
2024	—	`conf`	Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images. CVPR Workshops Aayush Dhakal, Adeel Ahmad, Subash Khanal, Srikumar Sastry, Hannah Kerner, Nathan Jacobs
2024	J	`jnl`	TaxaBind: A Unified Embedding Space for Ecological Applications. CoRR Srikumar Sastry, Subash Khanal, Aayush Dhakal, Adeel Ahmad, Nathan Jacobs
2024	J	`jnl`	Unveiling Roadway Hazards: Enhancing Fatal Crash Risk Estimation Through Multiscale Satellite Imagery and Self-Supervised Cross-Matching. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Gongbo Liang, Janet Zulu, Xin Xing, Nathan Jacobs
2024	—	`conf`	Vision-Language Pseudo-Labels for Single-Positive Multi-Label Learning. CVPR Workshops Xin Xing, Zhexiao Xiong, Abby Stylianou, Srikumar Sastry, Liyu Gong, Nathan Jacobs
2024	A	`conf`	WATCH: Wide-Area Terrestrial Change Hypercube. WACV Connor Greenwell, Jon Crall, Matthew Purri, Kristin J. Dana, Nathan Jacobs, Armin Hadzic, Scott Workman, Matthew J. Leotta
2023	J	`jnl`	A Partially Supervised Reinforcement Learning Framework for Visual Active Search. CoRR Anindya Sarkar, Nathan Jacobs, Yevgeniy Vorobeychik
2023	A*	`conf`	A Partially-Supervised Reinforcement Learning Framework for Visual Active Search. NeurIPS Anindya Sarkar, Nathan Jacobs, Yevgeniy Vorobeychik
2023	J	`jnl`	BirdSAT: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and Mapping. CoRR Srikumar Sastry, Subash Khanal, Aayush Dhakal, Di Huang, Nathan Jacobs
2023	C	`conf`	CrossAdapt: Cross-Scene Adaptation for Multi-Domain Depth Estimation. IGARSS Yu Zhang, Muhammad Usman Rafique, Gordon A. Christie, Nathan Jacobs
2023	C	`conf`	Crossseg: Cross-Scene Few-Shot Aerial Segmentation Using Probabilistic Prototypes. IGARSS Yu Zhang, Muhammad Usman Rafique, Nathan Jacobs
2023	J	`jnl`	Eroding Trust In Aerial Imagery: Comprehensive Analysis and Evaluation Of Adversarial Attacks In Geospatial Systems. CoRR Michael Lanier, Aayush Dhakal, Zhexiao Xiong, Arthur Li, Nathan Jacobs, Yevgeniy Vorobeychik
2023	—	`conf`	Eroding Trust in Aerial Imagery: Comprehensive Analysis and Evaluation of Adversarial Attacks in Geospatial Systems. AIPR Michael Lanier, Aayush Dhakal, Zhexiao Xiong, Arthur Li, Nathan Jacobs, Yevgeniy Vorobeychik
2023	C	`conf`	Fine-Grained Property Value Assessment Using Probabilistic Disaggregation. IGARSS Cohen Archbold, Benjamin Brodie, Aram Ansary Ogholbake, Nathan Jacobs
2023	J	`jnl`	Fine-Grained Property Value Assessment using Probabilistic Disaggregation. CoRR Cohen Archbold, Benjamin Brodie, Aram Ansary Ogholbake, Nathan Jacobs
2023	J	`jnl`	FroSSL: Frobenius Norm Minimization for Self-Supervised Learning. CoRR Oscar Skean, Aayush Dhakal, Nathan Jacobs, Luis Gonzalo Sánchez Giraldo
2023	J	`jnl`	LD-SDM: Language-Driven Hierarchical Species Distribution Modeling. CoRR Srikumar Sastry, Xin Xing, Aayush Dhakal, Subash Khanal, Adeel Ahmad, Nathan Jacobs
2023	A	`conf`	Learning Tri-modal Embeddings for Zero-Shot Soundscape Mapping. BMVC Subash Khanal, Srikumar Sastry, Aayush Dhakal, Nathan Jacobs
2023	J	`jnl`	Learning Tri-modal Embeddings for Zero-Shot Soundscape Mapping. CoRR Subash Khanal, Srikumar Sastry, Aayush Dhakal, Nathan Jacobs
2023	J	`jnl`	Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images. CoRR Aayush Dhakal, Adeel Ahmad, Subash Khanal, Srikumar Sastry, Nathan Jacobs
2023	A	`conf`	StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation. BMVC Zhexiao Xiong, Feng Qiao, Yu Zhang, Nathan Jacobs
2023	J	`jnl`	StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation. CoRR Zhexiao Xiong, Feng Qiao, Yu Zhang, Nathan Jacobs
2023	C	`conf`	Task Agnostic Cost Prediction Module for Semantic Labeling in Active Learning. IGARSS Srikumar Sastry, Nathan Jacobs, Mariana Belgiu, Raian Vargas Maretto
2023	J	`jnl`	Vision-Language Pseudo-Labels for Single-Positive Multi-Label Learning. CoRR Xin Xing, Zhexiao Xiong, Abby Stylianou, Srikumar Sastry, Liyu Gong, Nathan Jacobs
2022	A	`conf`	A Structure-Aware Method for Direct Pose Estimation. WACV Hunter Blanton, Scott Workman, Nathan Jacobs
2022	J	`jnl`	A Visual Active Search Framework for Geospatial Exploration. CoRR Anindya Sarkar, Michael Lanier, Scott Alfeld, Roman Garnett, Nathan Jacobs, Yevgeniy Vorobeychik
2022	—	`conf`	Advit: Vision Transformer On Multi-Modality Pet Images For Alzheimer Disease Diagnosis. ISBI Xin Xing, Gongbo Liang, Yu Zhang, Subash Khanal, Ai-Ling Lin, Nathan Jacobs
2022	A	`conf`	AssocFormer: Association Transformer for Multi-label Classification. BMVC Xin Xing, Chong Peng, Yu Zhang, Ai-Ling Lin, Nathan Jacobs
2022	J	`jnl`	Causality for Inherently Explainable Transformers: CAT-XPLAIN. CoRR Subash Khanal, Benjamin Brodie, Xin Xing, Ai-Ling Lin, Nathan Jacobs
2022	J	`jnl`	Content-Aware Detection of Temporal Metadata Manipulation. IEEE Trans. Inf. Forensics Secur. Rafael Padilha, Tawfiq Salem, Scott Workman, Fernanda A. Andaló, Anderson Rocha, Nathan Jacobs
2022	J	`jnl`	Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging. IEEE J. Biomed. Health Informatics Gongbo Liang, Connor Greenwell, Yu Zhang, Xin Xing, Xiaoqin Wang, Ramakanth Kavuluru, Nathan Jacobs
2022	J	`jnl`	Development of CNN models for the enteral feeding tube positioning assessment on a small scale data set. BMC Medical Imaging Gongbo Liang, Halemane Ganesh, Dylan Steffe, Liangliang Liu, Nathan Jacobs, Jie Zhang
2022	J	`jnl`	Geo-Information Harvesting from Social Media Data. CoRR 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
2022	B	`conf`	Neural Network Decision-Making Criteria Consistency Analysis via Inputs Sensitivity. ICPR Eric Xing, Liangliang Liu, Xin Xing, Yunni Qu, Nathan Jacobs, Gongbo Liang
2022	A*	`conf`	Revisiting Near/Remote Sensing with Geospatial Attention. CVPR Scott Workman, Muhammad Usman Rafique, Hunter Blanton, Nathan Jacobs
2022	J	`jnl`	Revisiting Near/Remote Sensing with Geospatial Attention. CoRR Scott Workman, Muhammad Usman Rafique, Hunter Blanton, Nathan Jacobs
2021	—	`conf`	Alzheimer's Disease Classification Using 2D Convolutional Neural Networks. EMBC Gongbo Liang, Xin Xing, Liangliang Liu, Yu Zhang, Qi Ying, Ai-Ling Lin, Nathan Jacobs
2021	—	`conf`	Alzheimer's Disease Classification Using Genetic Data. BIBM Subash Khanal, Jin Chen, Nathan Jacobs, Ai-Ling Lin
2021	J	`jnl`	Content-Based Detection of Temporal Metadata Manipulation. CoRR Rafael Padilha, Tawfiq Salem, Scott Workman, Fernanda A. Andaló, Anderson Rocha, Nathan Jacobs
2021	A	`conf`	Dynamic Feature Alignment for Semi-supervised Domain Adaptation. BMVC Yu Zhang, Gongbo Liang, Nathan Jacobs
2021	J	`jnl`	Dynamic Feature Alignment for Semi-supervised Domain Adaptation. CoRR Yu Zhang, Gongbo Liang, Nathan Jacobs
2021	C	`conf`	Hierarchical Probabilistic Embeddings for Multi-View Image Classification. IGARSS Benjamin Brodie, Subash Khanal, Muhammad Usman Rafique, Connor Greenwell, Nathan Jacobs
2021	C	`conf`	Intensity Harmonization for Airborne LiDAR. IGARSS David Jones, Nathan Jacobs
2021	J	`jnl`	Intensity Harmonization for Airborne LiDAR. CoRR David Jones, Nathan Jacobs
2021	—	`conf`	Multi-Modal Data Analysis for Alzheimer's Disease Diagnosis: An Ensemble Model Using Imagery and Genetic Features. EMBC Qi Ying, Xin Xing, Liangliang Liu, Ai-Ling Lin, Nathan Jacobs, Gongbo Liang
2021	J	`jnl`	Spatio-Temporal Deep Learning Approach to Map Deforestation in Amazon Rainforest. IEEE Geosci. Remote. Sens. Lett. Raian Vargas Maretto, Leila M. G. Fonseca, Nathan Jacobs, Thales Sehn Körting, Hugo N. Bendini, Leandro Parente
2021	J	`jnl`	Towards a Collective Agenda on AI for Earth Science Data Analysis. CoRR Devis Tuia, Ribana Roscher, Jan Dirk Wegner, Nathan Jacobs, Xiao Xiang Zhu, Gustau Camps-Valls
2021	—	`conf`	Unifying Guided and Unguided Outdoor Image Synthesis. CVPR Workshops Muhammad Usman Rafique, Yu Zhang, Benjamin Brodie, Nathan Jacobs
2020	J	`jnl`	2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification. CoRR Yu Zhang, Xiaoqin Wang, Hunter Blanton, Gongbo Liang, Xin Xing, Nathan Jacobs
2020	J	`jnl`	A Structure-Aware Method for Direct Pose Estimation. CoRR Hunter Blanton, Scott Workman, Nathan Jacobs
2020	J	`jnl`	Defense-PointNet: Protecting PointNet Against Adversarial Attacks. CoRR Yu Zhang, Gongbo Liang, Tawfiq Salem, Nathan Jacobs
2020	—	`conf`	Dynamic Image for 3D MRI Image Alzheimer's Disease Classification. ECCV Workshops (1) Xin Xing, Gongbo Liang, Hunter Blanton, Muhammad Usman Rafique, Chris Wang, Ai-Ling Lin, Nathan Jacobs
2020	J	`jnl`	Dynamic Image for 3D MRI Image Alzheimer's Disease Classification. CoRR Xin Xing, Gongbo Liang, Hunter Blanton, Muhammad Usman Rafique, Chris Wang, Ai-Ling Lin, Nathan Jacobs
2020	A*	`conf`	Dynamic Traffic Modeling From Overhead Imagery. CVPR Scott Workman, Nathan Jacobs
2020	J	`jnl`	Dynamic Traffic Modeling From Overhead Imagery. CoRR Scott Workman, Nathan Jacobs
2020	C	`conf`	Estimating Displaced Populations from Overhead. IGARSS Armin Hadzic, Gordon A. Christie, Jeffrey Freeman, Amber Dismer, Stevan Bullard, Ashley Greiner, Nathan Jacobs, Ryan Mukherjee
2020	J	`jnl`	Estimating Displaced Populations from Overhead. CoRR Armin Hadzic, Gordon A. Christie, Jeffrey Freeman, Amber Dismer, Stevan Bullard, Ashley Greiner, Nathan Jacobs, Ryan Mukherjee
2020	—	`conf`	Extending Absolute Pose Regression to Multiple Scenes. CVPR Workshops Hunter Blanton, Connor Greenwell, Scott Workman, Nathan Jacobs
2020	A	`conf`	Generative Appearance Flow: A Hybrid Approach for Outdoor View Synthesis. BMVC Muhammad Usman Rafique, Hunter Blanton, Noah Snavely, Nathan Jacobs
2020	J	`jnl`	Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification. CoRR Gongbo Liang, Yu Zhang, Xiaoqin Wang, Nathan Jacobs
2020	A	`conf`	Improved Trainable Calibration Method for Neural Networks. BMVC Gongbo Liang, Yu Zhang, Xiaoqin Wang, Nathan Jacobs
2020	J	`jnl`	Joint 2D-3D Breast Cancer Classification. CoRR Gongbo Liang, Xiaoqin Wang, Yu Zhang, Xin Xing, Hunter Blanton, Tawfiq Salem, Nathan Jacobs
2020	A*	`conf`	Learning a Dynamic Map of Visual Appearance. CVPR Tawfiq Salem, Scott Workman, Nathan Jacobs
2020	J	`jnl`	Learning a Dynamic Map of Visual Appearance. CoRR Tawfiq Salem, Scott Workman, Nathan Jacobs
2020	B	`conf`	Multi-Branch Attention Networks for Classifying Galaxy Clusters. ICPR Yu Zhang, Gongbo Liang, Yuanyuan Su, Nathan Jacobs
2020	J	`jnl`	Optical Wavelength Guided Self-Supervised Feature Learning For Galaxy Cluster Richness Estimate. CoRR Gongbo Liang, Yuanyuan Su, Sheng-Chieh Lin, Yu Zhang, Yuanyuan Zhang, Nathan Jacobs
2020	—	`conf`	RasterNet: Modeling Free-Flow Speed using LiDAR and Overhead Imagery. CVPR Workshops Armin Hadzic, Hunter Blanton, Weilian Song, Mei Chen, Scott Workman, Nathan Jacobs
2020	J	`jnl`	RasterNet: Modeling Free-Flow Speed using LiDAR and Overhead Imagery. CoRR Armin Hadzic, Hunter Blanton, Weilian Song, Mei Chen, Scott Workman, Nathan Jacobs
2020	C	`conf`	Single Image Cloud Detection via Multi-Image Fusion. IGARSS Scott Workman, Muhammad Usman Rafique, Hunter Blanton, Connor Greenwell, Nathan Jacobs
2020	J	`jnl`	Single Image Cloud Detection via Multi-Image Fusion. CoRR Scott Workman, Muhammad Usman Rafique, Hunter Blanton, Connor Greenwell, Nathan Jacobs
2020	C	`conf`	Surface Modeling for Airborne Lidar. IGARSS Hunter Blanton, Sean Grate, Nathan Jacobs
2020	J	`jnl`	Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization. CoRR Yu Zhang, Gongbo Liang, Nathan Jacobs, Xiaoqin Wang
2020	J	`jnl`	Weakly-Supervised Feature Learning via Text and Image Matching. CoRR Gongbo Liang, Connor Greenwell, Yu Zhang, Xiaoqin Wang, Ramakanth Kavuluru, Nathan Jacobs
2020	—	`conf`	Weakly-Supervised Self-Training for Breast Cancer Localization EMBC Gongbo Liang, Xiaoqin Wang, Yu Zhang, Nathan Jacobs
2019	—	`conf`	2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification. BIBM Yu Zhang, Xiaoqin Wang, Hunter Blanton, Gongbo Liang, Xin Xing, Nathan Jacobs
2019	A	`conf`	A Generative Model of Worldwide Facial Appearance. WACV Zachary Bessinger, Nathan Jacobs
2019	—	`conf`	Defense-PointNet: Protecting PointNet Against Adversarial Attacks. IEEE BigData Yu Zhang, Gongbo Liang, Tawfiq Salem, Nathan Jacobs
2019	J	`jnl`	FARSA: Fully Automated Roadway Safety Assessment. CoRR Weilian Song, Scott Workman, Armin Hadzic, Xu Zhang, Eric Green, Mei Chen, Reginald R. Souleyrette, Nathan Jacobs
2019	—	`conf`	GANai: Standardizing CT Images using Generative Adversarial Network with Alternative Improvement. ICHI Gongbo Liang, Sajjad Fouladvand, Jie Zhang, Michael A. Brooks, Nathan Jacobs, Jin Chen
2019	—	`conf`	Implicit Land Use Mapping Using Social Media Imagery. AIPR Connor Greenwell, Scott Workman, Nathan Jacobs
2019	—	`conf`	Joint 2D-3D Breast Cancer Classification. BIBM Gongbo Liang, Xiaoqin Wang, Yu Zhang, Xin Xing, Hunter Blanton, Tawfiq Salem, Nathan Jacobs
2019	J	`jnl`	Learning Geo-Temporal Image Features. CoRR Menghua Zhai, Tawfiq Salem, Connor Greenwell, Scott Workman, Robert Pless, Nathan Jacobs
2019	C	`conf`	Learning to Map Nearly Anything. IGARSS Tawfiq Salem, Connor Greenwell, Hunter Blanton, Nathan Jacobs
2019	J	`jnl`	Learning to Map Nearly Anything. CoRR Tawfiq Salem, Connor Greenwell, Hunter Blanton, Nathan Jacobs
2019	J	`jnl`	Motion and appearance based background subtraction for freely moving cameras. Signal Process. Image Commun. Hasan Sajid, Sen-Ching S. Cheung, Nathan Jacobs
2019	C	`conf`	Remote Estimation of Free-Flow Speeds. IGARSS Weilian Song, Tawfiq Salem, Hunter Blanton, Nathan Jacobs
2019	J	`jnl`	Remote Estimation of Free-Flow Speeds. CoRR Weilian Song, Tawfiq Salem, Hunter Blanton, Nathan Jacobs
2019	C	`conf`	Weakly Supervised Building Segmentation from Aerial Images. IGARSS Muhammad Usman Rafique, Nathan Jacobs
2019	—	`conf`	Weakly Supervised Fusion of Multiple Overhead Images. CVPR Workshops Muhammad Usman Rafique, Hunter Blanton, Nathan Jacobs
2018	—	`conf`	A Multimodal Approach to Mapping Soundscapes. CVPR Workshops Tawfiq Salem, Menghua Zhai, Scott Workman, Nathan Jacobs
2018	C	`conf`	A Multimodal Approach to Mapping Soundscapes. IGARSS Tawfiq Salem, Menghua Zhai, Scott Workman, Nathan Jacobs
2018	J	`jnl`	A Weakly Supervised Approach for Estimating Spatial Density Functions from High-Resolution Satellite Imagery. CoRR Nathan Jacobs, Adam Kraft, Muhammad Usman Rafique, Ranti Dev Sharma
2018	—	`conf`	A weakly supervised approach for estimating spatial density functions from high-resolution satellite imagery. SIGSPATIAL/GIS Nathan Jacobs, Adam Kraft, Muhammad Usman Rafique, Ranti Dev Sharma
2018	—	`conf`	Automatic Hand Skeletal Shape Estimation from Radiographs. BIBM Radu Paul Mihail, Nathan Jacobs
2018	A	`conf`	FARSA: Fully Automated Roadway Safety Assessment. WACV Weilian Song, Scott Workman, Armin Hadzic, Xu Zhang, Eric Green, Mei Chen, Reginald R. Souleyrette, Nathan Jacobs
2018	A	`conf`	Learning Geo-Temporal Image Features. BMVC Menghua Zhai, Tawfiq Salem, Connor Greenwell, Scott Workman, Robert Pless, Nathan Jacobs
2018	—	`conf`	Learning to Look around Objects for Top-View Representations of Outdoor Scenes. ECCV (15) Samuel Schulter, Menghua Zhai, Nathan Jacobs, Manmohan Chandraker
2018	J	`jnl`	Learning to Look around Objects for Top-View Representations of Outdoor Scenes. CoRR Samuel Schulter, Menghua Zhai, Nathan Jacobs, Manmohan Chandraker
2018	C	`conf`	What Goes Where: Predicting Object Distributions from Above. IGARSS Connor Greenwell, Scott Workman, Nathan Jacobs
2018	J	`jnl`	What Goes Where: Predicting Object Distributions from Above. CoRR Connor Greenwell, Scott Workman, Nathan Jacobs
2017	A*	`conf`	A Unified Model for Near and Remote Sensing. ICCV Scott Workman, Menghua Zhai, David J. Crandall, Nathan Jacobs
2017	J	`jnl`	A Unified Model for Near and Remote Sensing. CoRR Scott Workman, Menghua Zhai, David J. Crandall, Nathan Jacobs
2017	A*	`conf`	Predicting Ground-Level Scene Layout from Aerial Imagery. CVPR Menghua Zhai, Zachary Bessinger, Scott Workman, Nathan Jacobs
2017	A*	`conf`	Revisiting IM2GPS in the Deep Learning Era. ICCV Nam N. Vo, Nathan Jacobs, James Hays
2017	J	`jnl`	Revisiting IM2GPS in the Deep Learning Era. CoRR Nam N. Vo, Nathan Jacobs, James Hays
2017	A*	`conf`	Understanding and Mapping Natural Beauty. ICCV Scott Workman, Richard Souvenir, Nathan Jacobs
2017	—	`conf`	Whole mammogram image classification with convolutional neural networks. BIBM Xiaofei Zhang, Yi Zhang, Erik Y. Han, Nathan Jacobs, Qiong Han, Xiaoqin Wang, Jinze Liu
2016	A	`conf`	A fast method for estimating transient scene attributes. WACV Ryan Baltenberger, Menghua Zhai, Connor Greenwell, Scott Workman, Nathan Jacobs
2016	A	`conf`	Analyzing human appearance as a cue for dating images. WACV Tawfiq Salem, Scott Workman, Menghua Zhai, Nathan Jacobs
2016	J	`jnl`	Appearance based background subtraction for PTZ cameras. Signal Process. Image Commun. Hasan Sajid, Sen-Ching S. Cheung, Nathan Jacobs
2016	B	`conf`	Camera geo-calibration using an MCMC approach. ICIP Menghua Zhai, Scott Workman, Nathan Jacobs
2016	J	`jnl`	Cloudmaps from static ground-view video. Image Vis. Comput. Nathan Jacobs, Scott Workman, Richard Souvenir
2016	—	`conf`	Cross-view convolutional networks. AIPR Nathan Jacobs, Scott Workman, Menghua Zhai
2016	A*	`conf`	Detecting Vanishing Points Using Global Image Context in a Non-ManhattanWorld. CVPR Menghua Zhai, Scott Workman, Nathan Jacobs
2016	J	`jnl`	Detecting Vanishing Points using Global Image Context in a Non-Manhattan World. CoRR Menghua Zhai, Scott Workman, Nathan Jacobs
2016	A	`conf`	Horizon Lines in the Wild. BMVC Scott Workman, Menghua Zhai, Nathan Jacobs
2016	J	`jnl`	Horizon Lines in the Wild. CoRR Scott Workman, Menghua Zhai, Nathan Jacobs
2016	J	`jnl`	Predicting Ground-Level Scene Layout from Aerial Imagery. CoRR Menghua Zhai, Zachary Bessinger, Scott Workman, Nathan Jacobs
2016	J	`jnl`	Quantifying and Predicting Image Scenicness. CoRR Scott Workman, Richard Souvenir, Nathan Jacobs
2016	B	`conf`	Quantifying curb appeal. ICIP Zachary Bessinger, Nathan Jacobs
2016	A	`conf`	Sky segmentation in the wild: An empirical study. WACV Radu Paul Mihail, Scott Workman, Zach Bessinger, Nathan Jacobs
2016	—	`conf`	Who goes there?: approaches to mapping facial appearance diversity. SIGSPATIAL/GIS Zachary Bessinger, Chris Stauffer, Nathan Jacobs
2015	A*	`conf`	Building Dynamic Cloud Maps from the Ground Up. ICCV Calvin Murdock, Nathan Jacobs, Robert Pless
2015	B	`conf`	DEEPFOCAL: A method for direct focal length estimation. ICIP Scott Workman, Connor Greenwell, Menghua Zhai, Ryan Baltenberger, Nathan Jacobs
2015	B	`conf`	FACE2GPS: Estimating geographic location from facial features. ICIP Mohammad T. Islam, Scott Workman, Nathan Jacobs
2015	J	`jnl`	Large-scale geo-facial image analysis. EURASIP J. Image Video Process. Mohammad T. Islam, Connor Greenwell, Richard Souvenir, Nathan Jacobs
2015	—	`conf`	On the location dependence of convolutional neural network features. CVPR Workshops Scott Workman, Nathan Jacobs
2015	J	`jnl`	Scene shape estimation from multiple partly cloudy days. Comput. Vis. Image Underst. Scott Workman, Richard Souvenir, Nathan Jacobs
2015	A*	`conf`	Wide-Area Image Geolocalization with Aerial Reference Imagery. ICCV Scott Workman, Richard Souvenir, Nathan Jacobs
2015	J	`jnl`	Wide-Area Image Geolocalization with Aerial Reference Imagery. CoRR Scott Workman, Richard Souvenir, Nathan Jacobs
2014	A	`conf`	A CRF approach to fitting a generalized hand skeleton model. WACV Radu Paul Mihail, Gustav Blomquist, Nathan Jacobs
2014	—	`conf`	A Pot of Gold: Rainbows as a Calibration Cue. ECCV (5) Scott Workman, Radu Paul Mihail, Nathan Jacobs
2014	B	`conf`	Covariance-Based PCA for Multi-size Data. ICPR Menghua Zhai, Feiyu Shi, Drew Duncan, Nathan Jacobs
2014	A	`conf`	Estimating cloudmaps from outdoor image sequences. WACV Nathan Jacobs, Joshua King, Daniel Bowers, Richard Souvenir
2014	A	`conf`	Exploring the geo-dependence of human face appearance. WACV Mohammad T. Islam, Scott Workman, Hui Wu, Nathan Jacobs, Richard Souvenir
2014	—	`conf`	GeoFaceExplorer: exploring the geo-dependence of facial attributes. GEOGROWD Connor Greenwell, Scott Spurlock, Richard Souvenir, Nathan Jacobs
2014	B	`conf`	MPCA: EM-based PCA for mixed-size image datasets. ICIP Feiyu Shi, Menghua Zhai, Drew Duncan, Nathan Jacobs
2014	—	`conf`	Received signal strength indication signature for passive UHF tags. AIM Ann Whitney, John Fessler, Johné M. Parker, Nathan Jacobs
2013	A*	`conf`	Cloud Motion as a Calibration Cue. CVPR Nathan Jacobs, Mohammad T. Islam, Scott Workman
2013	—	`conf`	Scene geometry from several partly cloudy days. ICDSC Nathan Jacobs, Scott Workman, Richard Souvenir
2013	J	`jnl`	Shadow Estimation Method for "The Episolar Constraint: Monocular Shape from Shadow Correspondence" CoRR Austin Abrams, Christopher Hawley, Kylia Miskell, Adina Stoica, Nathan Jacobs, Robert Pless
2013	—	`conf`	Teaching graphics for games using Microsoft XNA. CGAMES Radu Paul Mihail, Judy Goldsmith, Nathan Jacobs, Jerzy W. Jaromczyk
2013	J	`jnl`	Two Cloud-Based Cues for Estimating Scene Structure and Camera Calibration. IEEE Trans. Pattern Anal. Mach. Intell. Nathan Jacobs, Austin Abrams, Robert Pless
2013	A	`conf`	Webcam2Satellite: Estimating cloud maps from webcam imagery. WACV Calvin Murdock, Nathan Jacobs, Robert Pless
2012	A	`conf`	LOST: Longterm Observation of Scenes (with Tracks). WACV Austin Abrams, Jim Tucek, Joshua Little, Nathan Jacobs, Robert Pless
2011	A*	`conf`	On analyzing video with very small motions. CVPR Michael Dixon, Austin Abrams, Nathan Jacobs, Robert Pless
2011	A	`conf`	Webcam geo-localization using aggregate light levels. WACV Nathan Jacobs, Kylia Miskell, Robert Pless
2010	Misc	`conf`	Compressive sensing and differential image-motion estimation. ICASSP Nathan Jacobs, S. Schuh, Robert Pless
2010	—	`conf`	Participatory integration of live webcams into GIS. COM.Geo Austin Abrams, Nick Fridrich, Nathan Jacobs, Robert Pless
2010	A*	`conf`	Using cloud shadows to infer scene structure and camera calibration. CVPR Nathan Jacobs, Brian Bies, Robert Pless
2009	—	`conf`	Adventures in archiving and using three years of webcam images. CVPR Workshops Nathan Jacobs, Walker Burgin, Robert Speyer, D. Ross, Robert Pless
2009	—	`conf`	An efficient system for vehicle tracking in multi-camera networks. ICDSC Michael Dixon, Nathan Jacobs, Robert Pless
2009	—	`conf`	Efficient tracking of many objects in structured environments. ICCV Workshops Nathan Jacobs, Michael Dixon, Scott Satkin, Robert Pless
2009	—	`conf`	Passive vision: The global webcam imaging network. AIPR Nathan Jacobs, Richard Souvenir, Robert Pless
2009	—	`conf`	Persistence and tracking: Putting vehicles and trajectories in context. AIPR Robert Pless, Michael Dixon, Nathan Jacobs, Patrick Baker, Nicholas L. Cassimatis, Derek P. Brock, Ralph Hartley, Dennis Perzanowski
2009	—	`conf`	PhD forum: Calibrating and using the global network of outdoor webcams. ICDSC Nathan Jacobs, Robert Pless
2009	—	`conf`	The global network of outdoor webcams: properties and applications. GIS Nathan Jacobs, Walker Burgin, Nick Fridrich, Austin Abrams, Kylia Miskell, Bobby H. Braswell, Andrew D. Richardson, Robert Pless
2008	J	`jnl`	Time Scales in Video Surveillance. IEEE Trans. Circuits Syst. Video Technol. Nathan Jacobs, Robert Pless
2008	A	`conf`	Toward Fully Automatic Geo-Location and Geo-Orientation of Static Outdoor Cameras. WACV Nathan Jacobs, Nathaniel Roman, Robert Pless
2007	A*	`conf`	Consistent Temporal Variations in Many Outdoor Scenes. CVPR Nathan Jacobs, Nathaniel Roman, Robert Pless
2007	A*	`conf`	Geolocating Static Cameras. ICCV Nathan Jacobs, Scott Satkin, Nathaniel Roman, Robert Speyer, Robert Pless
2006	—	`conf`	Finding Minimal Parameterizations of Cylindrical Image Manifolds. CVPR Workshops Michael Dixon, Nathan Jacobs, Robert Pless
2006	—	`conf`	Real-time constant memory visual summaries for surveillance. VSSN@MM Nathan Jacobs, Robert Pless
2002	—	`conf`	Pie Charts for Visualizing Query Term Frequency in Search Results. ICADL Terry J. Anderson, Ali Hussam, Bill Plummer, Nathan Jacobs