Probabilistic navigation methods for uncertain and dynamic environments. - Philippe Burlina; Daniel DeMenthon; Larry S. Davis (ICPR (1), 1992)

Navigation with uncertainty: reaching a goal in a high collision risk region. - Philippe Burlina; Daniel DeMenthon; Larry S. Davis (ICRA, 1992)

Time-to-X: analysis of motion through temporal parameters. - Philippe Burlina; Rama Chellappa (CVPR, 1994)

Spatio-temporal Moments and Generalized Spectral Analysis of Divergent Images for Motion Estimation. - Philippe Burlina; Rama Chellappa (ICIP (1), 1994)

Image modeling and restoration through contagion urn schemes. - Fady Alajaji; Philippe Burlina (ICIP, 1995)

Electronic image stabilization using multiple visual cues. - Yi-Sheng Yao; Philippe Burlina; Rama Chellappa; Ting-Hu Wu (ICIP, 1995)

On a spectral attentional mechanism. - Philippe Burlina; Bruce Lin; Rama Chellappa (CVPR, 1996)

Automatic image-to-site model registration. - Xiaopeng Zhang 006; Philippe Burlina; Qinfen Zheng; Ramalingam Chellappa (ICASSP, 1996)

MAP decoding of gray-level images over binary channels with memory. - Fady Alajaji; Philippe Burlina; Rama Chellappa (ICIP (2), 1996)

Performance analysis of model-based video coding. - Carlos Morimoto; Philippe Burlina; Rama Chellappa; Yi-Sheng Yao (ICIP (3), 1996)

Analyzing Looming Motion Components From Their Spatiotemporal Spectral Signature. - Philippe Burlina; Rama Chellappa (IEEE Trans. Pattern Anal. Mach. Intell., 1996)

Performance analysis and learning approaches for vehicle detection and counting in aerial images. - Vasu Parameswaran; Philippe Burlina; Rama Chellappa (ICASSP, 1997)

Video Coding Using Hybrid Motion Compensation. - Carlos Morimoto; Philippe Burlina; Rama Chellappa (ICIP (1), 1997)

Adaptive source-channel subband video coding for wireless channels. - Murari Srinivasan; Rama Chellappa; Philippe Burlina (MMSP, 1997)

On the positioning of multisensor imagery for exploitation and target recognition. - Rama Chellappa; Qinfen Zheng; Philippe Burlina; Chandra Shekhar 002; Kie B. Eom (Proc. IEEE, 1997)

A spectral attentional mechanism tuned to object configurations. - Philippe Burlina; Rama Chellappa (IEEE Trans. Image Process., 1997)

Contagion-Based Image Segmentation and Labeling. - Amit Banerjee; Philippe Burlina; Fady Alajaji (ICCV, 1998)

Frequency Dependence of ATD Performance in Foliage-Penetrating SAR Images. - Amit Banerjee; Philippe Burlina; Rama Chellappa; Rohit Kapoor (ICIP (1), 1998)

On-the-Fly Snake Construction from Video. - Gamze D. Cetintemel; Philippe Burlina (ICIP (3), 1998)

Use of Knowledge-Based Control for Vision Systems. - Chandra Shekhar 002; Sabine Moisan; Régis Vincent; Philippe Burlina; Rama Chellappa (IEA/AIE (Vol. 2), 1998)

Temporal Analysis of Motion in Video Sequences through Predictive Operators. - Philippe Burlina; Rama Chellappa (Int. J. Comput. Vis., 1998)

An error resilient scheme for image transmission over noisy channels with memory. - Philippe Burlina; Fady Alajaji (IEEE Trans. Image Process., 1998)

Higher Order Statistical Learning for Vehicle Detection in Images. - A. N. Rajagopalan 001; Philippe Burlina; Rama Chellappa (ICCV, 1999)

Single Camera Multiplexing for Multi-Target Tracking. - Chiraz BenAbdelkader; Philippe Burlina; Larry S. Davis (ICIAP, 1999)

Detection of people in images. - A. N. Rajagopalan 001; Philippe Burlina; Rama Chellappa (IJCNN, 1999)

Knowledge-based control of vision systems. - Chandra Shekhar 002; Sabine Moisan; Régis Vincent; Philippe Burlina; Rama Chellappa (Image Vis. Comput., 1999)

Visual communication via trellis coding and transmission energy allocation. - Fady Alajaji; Saud A. Al-Semari; Philippe Burlina (IEEE Trans. Commun., 1999)

Image segmentation and labeling using the Polya urn model. - Amit Banerjee; Philippe Burlina; Fady Alajaji (IEEE Trans. Image Process., 1999)

Adaptive target detection in foliage-penetrating SAR images using alpha-stable models. - Amit Banerjee; Philippe Burlina; Rama Chellappa (IEEE Trans. Image Process., 1999)

A support vector method for anomaly detection in hyperspectral imagery. - Amit Banerjee; Philippe Burlina; Chris Diehl (IEEE Trans. Geosci. Remote. Sens., 2006)

Fast Hyperspectral Anomaly Detection via SVDD. - Amit Banerjee; Philippe Burlina; Reuven Meth (ICIP (4), 2007)

A machine learning approach for finding hyperspectral endmembers. - Amit Banerjee; Philippe Burlina; Joshua B. Broadwater (IGARSS, 2007)

Kernel fully constrained least squares abundance estimates. - Joshua B. Broadwater; Rama Chellappa; Amit Banerjee; Philippe Burlina (IGARSS, 2007)

Level set segmentation of hyperspectral images using joint spectral edge and signature information. - Radford Juang; Philippe Burlina; Amit Banerjee (FUSION, 2008)

Characterization of spatial ordering of corneal stroma fibrils. - David E. Freund; Philippe Burlina; Amit Banerjee (ISBI, 2008)

Comparative performance evaluation of GM-PHD filter in clutter. - Radford Juang; Philippe Burlina (FUSION, 2009)

Automated Detection of Drusen in the Macula. - David E. Freund; Neil M. Bressler; Philippe Burlina (ISBI, 2009)

Tracking Cell Motion Using GM-PHD. - Radford Juang; Andre Levchenko; Philippe Burlina (ISBI, 2009)

Hyperspectral video for illumination-invariant tracking. - Amit Banerjee; Philippe Burlina; Joshua B. Broadwater (WHISPERS, 2009)

Sparse feature extraction for Support Vector Data Description applications. - Amit Banerjee; Radford Juang; Joshua B. Broadwater; Philippe Burlina (IGARSS, 2010)

Patient-Specific Modeling and Analysis of the Mitral Valve Using 3D-TEE. - Philippe Burlina; Chad Sprouse; Daniel DeMenthon; Anne Jorstad; Radford Juang; Francisco Contijoch; Theodore Abraham; David D. Yuh; Elliot R. McVeigh (IPCAI, 2010)

Increasing temporal resolution of 3D transesophageal ultrasound by rigid body registration of sequential, temporally offset sequences. - Francisco Contijoch; Laura Fernandez-de-Manuel; Tri Ngo; Joshua Stearns; Kelly L. Grogan; MaryBeth Brady; Philippe Burlina; Andrés Santos; David D. Yuh; Daniel A. Herzka; María J. Ledesma-Carbayo; Elliot R. McVeigh (ISBI, 2010)

Efficient Particle Filtering via Sparse Kernel Density Estimation. - Amit Banerjee; Philippe Burlina (IEEE Trans. Image Process., 2010)

Distributed Consensus on Camera Pose. - Anne Jorstad; Daniel DeMenthon; I-Jeng Wang; Philippe Burlina (IEEE Trans. Image Process., 2010)

Automatic screening of age-related macular degeneration and retinal abnormalities. - Philippe Burlina; David E. Freund; B. Dupas; Neil M. Bressler (EMBC, 2011)

Patient-specific modeling of stress/strain for surgical planning and guidance. - Chad Sprouse; Daniel DeMenthon; James S. Gammie; Philippe Burlina (EMBC, 2011)

Recovering Endocardial Walls from 3D TEE. - Philippe Burlina; Ryan Mukherjee; Radford Juang; Chad Sprouse (FIMH, 2011)

Automatic segmentation of the left-ventricular cavity and atrium in 3D ultrasound using graph cuts and the radial symmetry transform. - Radford Juang; Elliot R. McVeigh; Beatrice Hoffmann; David D. Yuh; Philippe Burlina (ISBI, 2011)

Myocardial motion computation in 4D ultrasound. - Ryan Mukherjee; Chad Sprouse; Theodore Abraham; Beatrice Hoffmann; Elliot R. McVeigh; David D. Yuh; Philippe Burlina (ISBI, 2011)

A personalized mitral valve closure simulator. - Philippe Burlina; Ryan Mukherjee; Chad Sprouse (EMBC, 2012)

Valvular closure prediction using anisotropic and hyperelastic tissue models and individualized anatomy derived from RT3DE. - Chad Sprouse; Ryan Mukherjee; Philippe Burlina (EMBC, 2012)

Dense myocardial motion from 4D ultrasound: Comparative performance evaluation. - Ryan Mukherjee; Aurelio Pinheiro; James S. Gammie; David D. Yuh; Theodore Abraham; Elliot R. McVeigh; Philippe Burlina (ISBI, 2012)

Machine learning methods for in vivo skin parameter estimation. - Saurabh Vyas; Amit Banerjee; Philippe Burlina (CBMS, 2013)

Endocardium segmentation in 3D Transesophageal Echocardiography. - Saurabh Vyas; Ryan Mukherjee; Federico Sosa; Philippe Burlina (ISBI, 2013)

Hyperspectral signature analysis of skin parameters. - Saurabh Vyas; Amit Banerjee; Luis Garza; Sewon Kang; Philippe Burlina (Computer-Aided Diagnosis, 2013)

A practical test set bound for rank learning. - Nathan Drenkow; Philippe Burlina; I-Jeng Wang; Daniel DeMenthon; Craig Carmen (MLSP, 2013)

Mitral Valve Closure Prediction With 3-D Personalized Anatomical Models and Anisotropic Hyperelastic Tissue Assumptions. - Chad Sprouse; Ryan Mukherjee; Philippe Burlina (IEEE Trans. Biomed. Eng., 2013)

Computing Cardiac Strain from Variational Optical Flow in Four-Dimensional Echocardiography. - Saurabh Vyas; James S. Gammie; Philippe Burlina (CBMS, 2014)

Cross validating hyperspectral with Ultrasound-based skin thickness estimation. - Saurabh Vyas; Jon Meyerle; Philippe Burlina (WHISPERS, 2014)

Autonomous on-board Near Earth Object detection. - Purnima Rajan; Philippe Burlina; M. Chen; D. Edell; Bruno Jedynak; N. Mehta; Ayushi Sinha; Gregory D. Hager (AIPR, 2015)

Zero Shot Deep Learning from Semantic Attributes. - Philippe M. Burlina; Aurora C. Schmidt; I-Jeng Wang (ICMLA, 2015)

Automated segmentation of geographic atrophy of the retinal epithelium via random forests in AREDS color fundus images. - Albert K. Feeny; Mongkol Tadarati; David E. Freund; Neil M. Bressler; Philippe Burlina (Comput. Biol. Medicine, 2015)

Non-invasive estimation of skin thickness from hyperspectral imaging and validation using echography. - Saurabh Vyas; Jon Meyerle; Philippe Burlina (Comput. Biol. Medicine, 2015)

Face Detection and Object Recognition for a Retinal Prosthesis. - Derek M. Rollend; Paul E. Rosendall; Seth Billings; Philippe Burlina; Kevin C. Wolfe; Kapil D. Katyal (ACCV Workshops (1), 2016)

Embedded clutter reduction and face detection algorithms for a visual prosthesis. - Derek M. Rollend; Paul E. Rosendall; Kevin C. Wolfe; Dean M. Kleissas; Seth Billings; Jonathan M. Oben; John B. Helder; Francesco Tenore; Philippe M. Burlina; Arup Roy; Robert J. Greenberg; Kapil D. Katyal (EMBC, 2016)

Ultrasound image analysis for myopathy detection. - Seth Billings; Jemima Albayda; Philippe Burlina (ICPR, 2016)

MRCNN: A stateful Fast R-CNN. - Philippe Burlina (ICPR, 2016)

Detection of age-related macular degeneration via deep learning. - Philippe Burlina; David E. Freund; Neil Joshi; Y. Wolfson; Neil M. Bressler (ISBI, 2016)

Leveraging Deep Reinforcement Learning for Reaching Robotic Tasks. - Kapil D. Katyal; I-Jeng Wang; Philippe Burlina (CVPR Workshops, 2017)

A Hybrid Approach for Incorporating Deep Visual Features and Side Channel Information with Applications to AMD Detection. - Arnaldo Horta; Neil Joshi; Michael J. Pekala; Katia D. Pacheco; Jun Kong; Neil M. Bressler; David E. Freund; Philippe Burlina (ICMLA, 2017)

Machine Learning Methods for 1D Ultrasound Breast Cancer Screening. - Neil Joshi; Seth Billings; Erika Schwartz; Susan C. Harvey; Philippe Burlina (ICMLA, 2017)

Hierarchical zero-shot classification with convolutional neural network features and semantic attribute learning. - Jared Markowitz; Aurora C. Schmidt; Philippe M. Burlina; I-Jeng Wang (MVA, 2017)

Comparing humans and deep learning performance for grading AMD: A study in using universal deep features and transfer learning for automated AMD analysis. - Philippe Burlina; Katia D. Pacheco; Neil Joshi; David E. Freund; Neil M. Bressler (Comput. Biol. Medicine, 2017)

Combining Deep Universal Features, Semantic Attributes, and Hierarchical Classification for Zero-Shot Learning. - Jared Markowitz; Aurora C. Schmidt; Philippe M. Burlina; I-Jeng Wang (CoRR, 2017)

Generative Adversarial Networks (GANs) for Retinal Fundus Image Synthesis. - Valentina Bellemo; Philippe Burlina; Yong Liu 026; Tien Yin Wong; Daniel Shu Wei Ting (ACCV Workshops, 2018)

AI-based AMD Analysis: A Review of Recent Progress. - Philippe Burlina; Neil Joshi; Neil M. Bressler (ACCV Workshops, 2018)

OCT Segmentation via Deep Learning: A Review of Recent Work. - Michael J. Pekala; Neil Joshi; T. Y. Alvin Liu; Neil M. Bressler; Delia Cabrera DeBuc; Philippe Burlina (ACCV Workshops, 2018)

DRL Based Intelligent Joint Manipulator and Viewing Camera Control for Reaching Tasks and Environments with Obstacles and Occluders. - Edward W. Staley; Kapil D. Katyal; Philippe Burlina (IJCNN, 2018)

Skin Image Analysis for Erythema Migrans Detection and Automated Lyme Disease Referral. - Philippe Burlina; Neil Joshi; Elise Ng; Seth Billings; Alison W. Rebman; John N. Aucott (OR 2.0/CARE/CLIP/ISIC@MICCAI, 2018)

Deep Learning based Retinal OCT Segmentation. - Michael J. Pekala; Neil Joshi; David E. Freund; Neil M. Bressler; Delia Cabrera DeBuc; Philippe M. Burlina (CoRR, 2018)

Occupancy Map Prediction Using Generative and Fully Convolutional Networks for Vehicle Navigation. - Kapil D. Katyal; Katie M. Popek; Chris Paxton 001; Joseph L. Moore; Kevin C. Wolfe; Philippe Burlina; Gregory D. Hager (CoRR, 2018)

Where's Wally Now? Deep Generative and Discriminative Embeddings for Novelty Detection. - Philippe Burlina; Neil Joshi; I-Jeng Wang (CVPR, 2019)

Uncertainty-Aware Occupancy Map Prediction Using Generative Networks for Robot Navigation. - Kapil D. Katyal; Katie M. Popek; Chris Paxton 001; Philippe Burlina; Gregory D. Hager (ICRA, 2019)

Unsupervised Deep Novelty Detection: Application To Muscle Ultrasound And Myositis Screening. - Philippe Burlina; Neil J. Joshi; Seth Billings; I-Jeng Wang; Jemima Albayda (ISBI, 2019)

Deep embeddings for novelty detection in myopathy. - Philippe Burlina; Neil Joshi; Seth Billings; I-Jeng Wang; Jemima Albayda (Comput. Biol. Medicine, 2019)

Automated detection of erythema migrans and other confounding skin lesions via deep learning. - Philippe M. Burlina; Neil Joshi; Elise Ng; Seth D. Billings; Alison W. Rebman; John N. Aucott (Comput. Biol. Medicine, 2019)

Deep learning based retinal OCT segmentation. - Michael J. Pekala; Neil Joshi; T. Y. Alvin Liu; Neil M. Bressler; Delia Cabrera DeBuc; Philippe Burlina (Comput. Biol. Medicine, 2019)

Jacks of All Trades, Masters of None: Addressing Distributional Shift and Obtrusiveness via Transparent Patch Attacks. - Neil Fendley; Max Lennon; I-Jeng Wang; Philippe Burlina; Nathan Drenkow (ECCV Workshops (1), 2020)

AI-based detection of erythema migrans and disambiguation against other skin lesions. - Philippe M. Burlina; Neil J. Joshi; Phil A. Mathew; William Paul; Alison W. Rebman; John N. Aucott (Comput. Biol. Medicine, 2020)

Unsupervised Semantic Attribute Discovery and Control in Generative Models. - William Paul; I-Jeng Wang; Fady Alajaji; Philippe Burlina (CoRR, 2020)

Addressing Artificial Intelligence Bias in Retinal Disease Diagnostics. - Philippe Burlina; Neil Joshi; William Paul; Katia D. Pacheco; Neil M. Bressler (CoRR, 2020)

Rényi Generative Adversarial Networks. - Himesh Bhatia; William Paul; Fady Alajaji; Bahman Gharesifard; Philippe Burlina (CoRR, 2020)

AI Progress in Skin Lesion Analysis. - Philippe M. Burlina; William Paul; Phil A. Mathew; Neil J. Joshi; Alison W. Rebman; John N. Aucott (CoRR, 2020)

RENATA: REpreseNtation And Training Alteration for Bias Mitigation. - William Paul; Armin Hadzic; Neil Joshi; Philippe Burlina (CoRR, 2020)

Random Projections for Adversarial Attack Detection. - Nathan Drenkow; Neil Fendley; Philippe Burlina (CoRR, 2020)

Objectness-Guided Open Set Visual Search and Closed Set Detection. - Nathan Drenkow; Philippe Burlina; Neil Fendley; Kachi Odoemene; Jared Markowitz (CoRR, 2020)

Defending Medical Image Diagnostics Against Privacy Attacks Using Generative Methods: Application to Retinal Diagnostics. - William Paul; Yinzhi Cao; Miaomiao Zhang; Philippe Burlina (CLIP/DCL/LL-COVID19/PPML@MICCAI, 2021)

Addressing Visual Search in Open and Closed Set Settings. - Nathan Drenkow; Philippe Burlina; Neil Fendley; Onyekachi Odoemene; Jared Markowitz (CVPR Workshops, 2021)

Patch Attack Invariance: How Sensitive are Patch Attacks to 3D Pose? - Max Lennon; Nathan Drenkow; Philippe Burlina (ICCVW, 2021)

Practical Blind Membership Inference Attack via Differential Comparisons. - Bo Hui 002; Yuchen Yang 001; Haolin Yuan; Philippe Burlina; Neil Zhenqiang Gong; Yinzhi Cao (NDSS, 2021)

Defending Medical Image Diagnostics against Privacy Attacks using Generative Methods. - William Paul; Yinzhi Cao; Miaomiao Zhang; Philippe Burlina (CoRR, 2021)

AI Fairness via Domain Adaptation. - Neil Joshi; Philippe M. Burlina (CoRR, 2021)

Generalizing Fairness: Discovery and Mitigation of Unknown Sensitive Attributes. - William Paul; Philippe Burlina (CoRR, 2021)

Least kth-Order and Rényi Generative Adversarial Networks. - Himesh Bhatia; William Paul; Fady Alajaji; Bahman Gharesifard; Philippe Burlina (Neural Comput., 2021)

Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes With Applications to Anomaly Detection. - William Paul; I-Jeng Wang; Fady Alajaji; Philippe Burlina (Neural Comput., 2021)

Robustness and Adaptation to Hidden Factors of Variation. - William Paul; Philippe Burlina (CVPR Workshops, 2022)

Rényi Fair Information Bottleneck for Image Classification. - Adam Gronowski; William Paul; Fady Alajaji; Bahman Gharesifard; Philippe Burlina (CWIT, 2022)

Addressing Heterogeneity in Federated Learning via Distributional Transformation. - Haolin Yuan; Bo Hui 002; Yuchen Yang 001; Philippe Burlina; Neil Zhenqiang Gong; Yinzhi Cao (ECCV (38), 2022)

Attack Agnostic Detection of Adversarial Examples via Random Subspace Analysis. - Nathan Drenkow; Neil Fendley; Philippe Burlina (WACV, 2022)

EdgeMixup: Improving Fairness for Skin Disease Classification and Segmentation. - Haolin Yuan; Armin Hadzic; William Paul; Daniella Villegas de Flores; Philip Mathew; John N. Aucott; Yinzhi Cao; Philippe Burlina (CoRR, 2022)

Achieving Utility, Fairness, and Compactness via Tunable Information Bottleneck Measures. - Adam Gronowski; William Paul; Fady Alajaji; Bahman Gharesifard; Philippe Burlina (CoRR, 2022)

TARA: Training and Representation Alteration for AI Fairness and Domain Generalization. - William Paul; Armin Hadzic; Neil Joshi; Fady Alajaji; Philippe Burlina (Neural Comput., 2022)

Fortifying Federated Learning against Membership Inference Attacks via Client-level Input Perturbation. - Yuchen Yang 001; Haolin Yuan; Bo Hui 002; Neil Zhenqiang Gong; Neil Fendley; Philippe Burlina; Yinzhi Cao (DSN, 2023)

EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness. - Haolin Yuan; John N. Aucott; Armin Hadzic; William Paul; Marcia Villegas de Flores; Philip Mathew; Philippe Burlina; Yinzhi Cao (MICCAI (4), 2023)

Do Adaptive Active Attacks Pose Greater Risk Than Static Attacks? - Nathan Drenkow; Max Lennon; I-Jeng Wang; Philippe Burlina (WACV, 2023)

Evaluating Trade-offs in Computer Vision Between Attribute Privacy, Fairness and Utility. - William Paul; Philip Mathew; Fady Alajaji; Philippe Burlina (CoRR, 2023)

PLeak: Prompt Leaking Attacks against Large Language Model Applications. - Bo Hui 002; Haolin Yuan; Neil Gong 001; Philippe Burlina; Yinzhi Cao (CCS, 2024)

PFEDEDIT: Personalized Federated Learning via Automated Model Editing. - Haolin Yuan; William Paul; John N. Aucott; Philippe Burlina; Yinzhi Cao (ECCV (79), 2024)

Classification Utility, Fairness, and Compactness via Tunable Information Bottleneck and Rényi Measures. - Adam Gronowski; William Paul; Fady Alajaji; Bahman Gharesifard; Philippe Burlina (IEEE Trans. Inf. Forensics Secur., 2024)