| 2026 | WACV | Gradient-Based Active Learning for Geospatial Semantic Segmentation with Large Vision Models. | Ryan Faulkenberry, Saurabh Prasad |
| 2026 | WACV | UniDiff: Parameter-Efficient Adaptation of Diffusion Models for Land Cover Classification with Multi-Modal Remotely Sensed Imagery and Sparse Annotations. | Yuzhen Hu, Saurabh Prasad |
| 2025 | CVPR | A Sensor Agnostic Domain Generalization Framework for Leveraging Geospatial Foundation Models: Enhancing Semantic Segmentation via Synergistic Pseudo-Labeling and Generative Learning. | Anan Yaghmour, Melba M. Crawford, Saurabh Prasad |
| 2025 | ICML | Label-Efficient Hyperspectral Image Classification via Spectral FiLM Modulation of Low-Level Pretrained Diffusion Features. | Yuzhen Hu, Biplab Banerjee, Saurabh Prasad |
| 2025 | WACV | Layer Optimized Spatial Spectral Masked Autoencoder for Semantic Segmentation of Hyperspectral Imagery. | Aaron Perez, Saurabh Prasad |
| 2025 | WACV | Foundation Models and Adaptive Feature Selection: A Synergistic Approach to Video Question Answering. | Sai Bhargav Rongali, Mohamad Hassan N C, Ankit Jha, Neha Bhargava, Saurabh Prasad, Biplab Banerjee |
| 2024 | MMSP | Anomaly Detection in Satellite Videos Using Diffusion Models. | Akash Awasthi, Son T. Ly, Jaer Nizam, Videet Mehta, Safwan Ahmad, Ramakrishna Nemani, Saurabh Prasad, Hien Van Nguyen |
| 2023 | IGARSS | Adversarial Discriminative Knowledge Transfer with a Multi-Class Discriminator for Robust Geoai. | Anan Yaghmour, Saurabh Prasad, Melba M. Crawford |
| 2023 | IGARSS | CNN-Mixer Hierarchical Spectral Transformer for Hyperspectral Image Classification. | Wei Li, Saurabh Prasad, Melba M. Crawford |
| 2023 | NDSS | Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems. | Hadi Abdullah, Aditya Karlekar, Saurabh Prasad, Muhammad Sajidur Rahman, Logan Blue, Luke A. Bauer, Vincent Bindschaedler, Patrick Traynor |
| 2020 | IGARSS | Joint Spatial and Graph Convolutional Neural Networks - A Hybrid Model for Spatial-Spectral Geospatial Image Analysis. | Farideh Foroozandeh Shahraki, Saurabh Prasad |
| 2017 | ICASSP | Rotation invariance through structured sparsity for robust hyperspectral image classification. | Saurabh Prasad, Demetrio Labate, Minshan Cui, Yuhang Zhang |
| 2017 | IGARSS | Transformation learning based domain adaptation for robust classification of disparate hyperspectral data. | Xiong Zhou, Saurabh Prasad |
| 2015 | ICIP | Hyperspectral classification using a composite kernel driven by nearest-neighbor spatial features. | Vineetha Menon, Saurabh Prasad, James E. Fowler |
| 2014 | ICIP | Image classification in natural scenes: Are a few selective spectral channels sufficient? | Jason Holloway, Tanu Priya, Ashok Veeraraghavan, Saurabh Prasad |
| 2014 | ICIP | Compressive data fusion for multi-sensor image analysis. | Saurabh Prasad, Hao Wu, James E. Fowler |
| 2014 | ICIP | Detecting new classes via infinite warped mixture models for hyperspectral image analysis. | Hao Wu, Saurabh Prasad, Tanu Priya |
| 2014 | IGARSS | Wavelet domain active learning for robust classification of full-waveform LiDAR data. | Xiong Zhou, Saurabh Prasad, Melba M. Crawford |
| 2013 | ACSSC | Sparse representations for classification of high dimensional multi-sensor geospatial data. | Saurabh Prasad, Minshan Cui |
| 2013 | ICASSP | Sparsity promoting dimensionality reduction for classification of high dimensional hyperspectral images. | Minshan Cui, Saurabh Prasad |
| 2013 | IGARSS | Voxelization of full waveform LiDAR data for fusion with Hyperspectral Imagery. | Hongzhou Wang, Craig L. Glennie, Saurabh Prasad |
| 2013 | IGARSS | Hyperspectral image classification based on Dirichlet Process mixture models. | Hao Wu, Saurabh Prasad, Minshan Cui, Nam Tuan Nguyen, Zhu Han |
| 2013 | IGARSS | Multiple kernel active learning for robust geo-spatial image analysis. | Hsiuhan Lexie Yang, Yuhang Zhang, Saurabh Prasad, Melba M. Crawford |
| 2012 | IGARSS | Robust spatial-spectral hyperspectral image classification for vegetation stress detection. | Minshan Cui, Saurabh Prasad, Lori M. Bruce, Ramesh L. Shrestha |
| 2012 | IGARSS | Application of omni-directional texture analysis to SAR images for levee landslide detection. | Matthew A. Lee, James V. Aanstoos, Lori Mann Bruce, Saurabh Prasad |
| 2012 | IGARSS | Locality-preserving nonnegative matrix factorization for hyperspectral image classification. | Wei Li, Saurabh Prasad, James E. Fowler, Minshan Cui |
| 2012 | IGARSS | Locality-preserving discriminant analysis for hyperspectral image classification using local spatial information. | Wei Li, Saurabh Prasad, Zhen Ye, James E. Fowler, Minshan Cui |
| 2011 | IGARSS | Automated hyperspectral imagery analysis via support vector machines based multi-classifier system with non-uniform random feature selection. | Sathishkumar Samiappan, Saurabh Prasad, Lori M. Bruce |
| 2011 | IGARSS | Branch and bound based feature elimination for support vector machine based classification of hyperspectral images. | Sathishkumar Samiappan, Saurabh Prasad, Lori M. Bruce, Eric A. Hansen |
| 2011 | IGARSS | Genetic algorithms and Linear Discriminant Analysis based dimensionality reduction for remotely sensed image analysis. | Minshan Cui, Saurabh Prasad, Majid Mahrooghy, Lori M. Bruce, James V. Aanstoos |
| 2010 | IGARSS | Data dependent adaptation for improved classification of hyperspectral imagery. | Saurabh Prasad, Hemanth Kalluri, Lori M. Bruce, Sathishkumar Samiappan |
| 2010 | IGARSS | NASA's upcoming HyspIRI mission - precision vegetation mapping with limited ground truth. | Sathishkumar Samiappan, Saurabh Prasad, Lori M. Bruce, Wilfredo Robles |
| 2009 | IGARSS | Data Exploitation of HyspIRI Observations for Precision Vegetation Mapping. | Saurabh Prasad, Lori M. Bruce, Hemanth Kalluri |
| 2009 | IGARSS | Utilization of Local and Global Hyperspectral Features via Wavelet Packets and Multiclassifiers for Robust Target Recognition. | Terrance West, Lori M. Bruce, Saurabh Prasad, Daniel Reynolds |
| 2009 | IGARSS | Rapid Detection of Agricultural Food Crop Contamination via Hyperspectral Remote Sensing. | Terrance West, Lori M. Bruce, Saurabh Prasad, Daniel Reynolds, Trent Irby |
| 2008 | IGARSS | Overcoming the Small Sample Size Problem in Hyperspectral Classification and Detection Tasks. | Saurabh Prasad, Lori M. Bruce |
| 2008 | IGARSS | Multiple Kernel Discriminant Analysis and Decision Fusion for Robust Sub-Pixel Hyperspectral Target Recognition. | Saurabh Prasad, Lori M. Bruce |
| 2008 | IGARSS | A Robust Multi-Classifier Decision Fusion Framework for Hyperspectral, Multi-Temporal Classification. | Saurabh Prasad, Lori M. Bruce, Hemanth Kalluri |
| 2008 | IGARSS | Wavelet Packet Tree Pruning Metrics for Hyperspectral Feature Extraction. | Terrance West, Saurabh Prasad, Lori M. Bruce |
| 2007 | IGARSS | Limitations of subspace LDA in hyperspectral target recognition applications. | Saurabh Prasad, Lori Mann Bruce |
| 2007 | IGARSS | Hyperspectral feature space partitioning via mutual information for data fusion. | Saurabh Prasad, Lori Mann Bruce |
| 2007 | IGARSS | Multiclassifiers and decision fusion in the wavelet domain for exploitation of hyperspectral data. | Terrance West, Saurabh Prasad, Lori Mann Bruce |
| 2007 | IGARSS | Level set hyperspectral image segmentation using spectral information divergence-based best band selection. | John E. Ball, Terrance West, Saurabh Prasad, Lori Mann Bruce |
| 2005 | Interspeech | Nonlinear and linear transformations of speech features to compensate for channel and noise effects. | Saurabh Prasad, Stephen A. Zahorian |