Philippe Burlina

117 papers A* 9A 3B 8C 8Misc 3Journal 41Unranked 45

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Classification Utility, Fairness, and Compactness via Tunable Information Bottleneck and Rényi Measures. IEEE Trans. Inf. Forensics Secur. Adam Gronowski, William Paul, Fady Alajaji, Bahman Gharesifard, Philippe Burlina
2024	—	`conf`	PFEDEDIT: Personalized Federated Learning via Automated Model Editing. ECCV (79) Haolin Yuan, William Paul, John N. Aucott, Philippe Burlina, Yinzhi Cao
2024	A*	`conf`	PLeak: Prompt Leaking Attacks against Large Language Model Applications. CCS Bo Hui, Haolin Yuan, Neil Gong, Philippe Burlina, Yinzhi Cao
2024	J	`jnl`	PLeak: Prompt Leaking Attacks against Large Language Model Applications. CoRR Bo Hui, Haolin Yuan, Neil Zhenqiang Gong, Philippe Burlina, Yinzhi Cao
2023	A	`conf`	Do Adaptive Active Attacks Pose Greater Risk Than Static Attacks? WACV Nathan Drenkow, Max Lennon, I-Jeng Wang, Philippe Burlina
2023	—	`conf`	EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness. MICCAI (4) Haolin Yuan, John N. Aucott, Armin Hadzic, William Paul, Marcia Villegas de Flores, Philip Mathew, Philippe Burlina, Yinzhi Cao
2023	J	`jnl`	Evaluating Trade-offs in Computer Vision Between Attribute Privacy, Fairness and Utility. CoRR William Paul, Philip Mathew, Fady Alajaji, Philippe Burlina
2023	A	`conf`	Fortifying Federated Learning against Membership Inference Attacks via Client-level Input Perturbation. DSN Yuchen Yang, Haolin Yuan, Bo Hui, Neil Zhenqiang Gong, Neil Fendley, Philippe Burlina, Yinzhi Cao
2022	J	`jnl`	Achieving Utility, Fairness, and Compactness via Tunable Information Bottleneck Measures. CoRR Adam Gronowski, William Paul, Fady Alajaji, Bahman Gharesifard, Philippe Burlina
2022	—	`conf`	Addressing Heterogeneity in Federated Learning via Distributional Transformation. ECCV (38) Haolin Yuan, Bo Hui, Yuchen Yang, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao
2022	J	`jnl`	Addressing Heterogeneity in Federated Learning via Distributional Transformation. CoRR Haolin Yuan, Bo Hui, Yuchen Yang, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao
2022	A	`conf`	Attack Agnostic Detection of Adversarial Examples via Random Subspace Analysis. WACV Nathan Drenkow, Neil Fendley, Philippe Burlina
2022	J	`jnl`	EdgeMixup: Improving Fairness for Skin Disease Classification and Segmentation. CoRR Haolin Yuan, Armin Hadzic, William Paul, Daniella Villegas de Flores, Philip Mathew, John N. Aucott, Yinzhi Cao, Philippe Burlina
2022	J	`jnl`	Renyi Fair Information Bottleneck for Image Classification. CoRR Adam Gronowski, William Paul, Fady Alajaji, Bahman Gharesifard, Philippe Burlina
2022	—	`conf`	Robustness and Adaptation to Hidden Factors of Variation. CVPR Workshops William Paul, Philippe Burlina
2022	J	`jnl`	Robustness and Adaptation to Hidden Factors of Variation. CoRR William Paul, Philippe Burlina
2022	—	`conf`	Rényi Fair Information Bottleneck for Image Classification. CWIT Adam Gronowski, William Paul, Fady Alajaji, Bahman Gharesifard, Philippe Burlina
2022	J	`jnl`	TARA: Training and Representation Alteration for AI Fairness and Domain Generalization. Neural Comput. William Paul, Armin Hadzic, Neil Joshi, Fady Alajaji, Philippe Burlina
2021	—	`conf`	Addressing Visual Search in Open and Closed Set Settings. CVPR Workshops Nathan Drenkow, Philippe Burlina, Neil Fendley, Onyekachi Odoemene, Jared Markowitz
2021	—	`conf`	Defending Medical Image Diagnostics Against Privacy Attacks Using Generative Methods: Application to Retinal Diagnostics. CLIP/DCL/LL-COVID19/PPML@MICCAI William Paul, Yinzhi Cao, Miaomiao Zhang, Philippe Burlina
2021	J	`jnl`	Defending Medical Image Diagnostics against Privacy Attacks using Generative Methods. CoRR William Paul, Yinzhi Cao, Miaomiao Zhang, Philippe Burlina
2021	J	`jnl`	Generalizing Fairness: Discovery and Mitigation of Unknown Sensitive Attributes. CoRR William Paul, Philippe Burlina
2021	J	`jnl`	Least kth-Order and Rényi Generative Adversarial Networks. Neural Comput. Himesh Bhatia, William Paul, Fady Alajaji, Bahman Gharesifard, Philippe Burlina
2021	—	`conf`	Patch Attack Invariance: How Sensitive are Patch Attacks to 3D Pose? ICCVW Max Lennon, Nathan Drenkow, Philippe Burlina
2021	J	`jnl`	Patch Attack Invariance: How Sensitive are Patch Attacks to 3D Pose? CoRR Max Lennon, Nathan Drenkow, Philippe Burlina
2021	A*	`conf`	Practical Blind Membership Inference Attack via Differential Comparisons. NDSS Bo Hui, Yuchen Yang, Haolin Yuan, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao
2021	J	`jnl`	Practical Blind Membership Inference Attack via Differential Comparisons. CoRR Bo Hui, Yuchen Yang, Haolin Yuan, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao
2021	J	`jnl`	Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes With Applications to Anomaly Detection. Neural Comput. William Paul, I-Jeng Wang, Fady Alajaji, Philippe Burlina
2020	J	`jnl`	Addressing Artificial Intelligence Bias in Retinal Disease Diagnostics. CoRR Philippe Burlina, Neil Joshi, William Paul, Katia D. Pacheco, Neil M. Bressler
2020	J	`jnl`	Jacks of All Trades, Masters Of None: Addressing Distributional Shift and Obtrusiveness via Transparent Patch Attacks. CoRR Neil Fendley, Max Lennon, I-Jeng Wang, Philippe Burlina, Nathan Drenkow
2020	—	`conf`	Jacks of All Trades, Masters of None: Addressing Distributional Shift and Obtrusiveness via Transparent Patch Attacks. ECCV Workshops (1) Neil Fendley, Max Lennon, I-Jeng Wang, Philippe Burlina, Nathan Drenkow
2020	J	`jnl`	Objectness-Guided Open Set Visual Search and Closed Set Detection. CoRR Nathan Drenkow, Philippe Burlina, Neil Fendley, Kachi Odoemene, Jared Markowitz
2020	J	`jnl`	RENATA: REpreseNtation And Training Alteration for Bias Mitigation. CoRR William Paul, Armin Hadzic, Neil Joshi, Philippe Burlina
2020	J	`jnl`	Random Projections for Adversarial Attack Detection. CoRR Nathan Drenkow, Neil Fendley, Philippe Burlina
2020	J	`jnl`	Rényi Generative Adversarial Networks. CoRR Himesh Bhatia, William Paul, Fady Alajaji, Bahman Gharesifard, Philippe Burlina
2020	J	`jnl`	Unsupervised Semantic Attribute Discovery and Control in Generative Models. CoRR William Paul, I-Jeng Wang, Fady Alajaji, Philippe Burlina
2019	J	`jnl`	Deep embeddings for novelty detection in myopathy. Comput. Biol. Medicine Philippe Burlina, Neil Joshi, Seth Billings, I-Jeng Wang, Jemima Albayda
2019	J	`jnl`	Deep learning based retinal OCT segmentation. Comput. Biol. Medicine Michael J. Pekala, Neil Joshi, T. Y. Alvin Liu, Neil M. Bressler, Delia Cabrera DeBuc, Philippe Burlina
2019	A*	`conf`	Uncertainty-Aware Occupancy Map Prediction Using Generative Networks for Robot Navigation. ICRA Kapil D. Katyal, Katie M. Popek, Chris Paxton, Philippe Burlina, Gregory D. Hager
2019	—	`conf`	Unsupervised Deep Novelty Detection: Application To Muscle Ultrasound And Myositis Screening. ISBI Philippe Burlina, Neil J. Joshi, Seth Billings, I-Jeng Wang, Jemima Albayda
2019	A*	`conf`	Where's Wally Now? Deep Generative and Discriminative Embeddings for Novelty Detection. CVPR Philippe Burlina, Neil Joshi, I-Jeng Wang
2018	—	`conf`	AI-based AMD Analysis: A Review of Recent Progress. ACCV Workshops Philippe Burlina, Neil Joshi, Neil M. Bressler
2018	B	`conf`	DRL Based Intelligent Joint Manipulator and Viewing Camera Control for Reaching Tasks and Environments with Obstacles and Occluders. IJCNN Edward W. Staley, Kapil D. Katyal, Philippe Burlina
2018	—	`conf`	Generative Adversarial Networks (GANs) for Retinal Fundus Image Synthesis. ACCV Workshops Valentina Bellemo, Philippe Burlina, Yong Liu, Tien Yin Wong, Daniel Shu Wei Ting
2018	—	`conf`	OCT Segmentation via Deep Learning: A Review of Recent Work. ACCV Workshops Michael J. Pekala, Neil Joshi, T. Y. Alvin Liu, Neil M. Bressler, Delia Cabrera DeBuc, Philippe Burlina
2018	J	`jnl`	Occupancy Map Prediction Using Generative and Fully Convolutional Networks for Vehicle Navigation. CoRR Kapil D. Katyal, Katie M. Popek, Chris Paxton, Joseph L. Moore, Kevin C. Wolfe, Philippe Burlina, Gregory D. Hager
2018	—	`conf`	Skin Image Analysis for Erythema Migrans Detection and Automated Lyme Disease Referral. OR 2.0/CARE/CLIP/ISIC@MICCAI Philippe Burlina, Neil Joshi, Elise Ng, Seth Billings, Alison W. Rebman, John N. Aucott
2017	C	`conf`	A Hybrid Approach for Incorporating Deep Visual Features and Side Channel Information with Applications to AMD Detection. ICMLA Arnaldo Horta, Neil Joshi, Michael J. Pekala, Katia D. Pacheco, Jun Kong, Neil M. Bressler, David E. Freund, Philippe Burlina
2017	J	`jnl`	Comparing humans and deep learning performance for grading AMD: A study in using universal deep features and transfer learning for automated AMD analysis. Comput. Biol. Medicine Philippe Burlina, Katia D. Pacheco, Neil Joshi, David E. Freund, Neil M. Bressler
2017	—	`conf`	Leveraging Deep Reinforcement Learning for Reaching Robotic Tasks. CVPR Workshops Kapil D. Katyal, I-Jeng Wang, Philippe Burlina
2017	C	`conf`	Machine Learning Methods for 1D Ultrasound Breast Cancer Screening. ICMLA Neil Joshi, Seth Billings, Erika Schwartz, Susan C. Harvey, Philippe Burlina
2016	—	`conf`	Detection of age-related macular degeneration via deep learning. ISBI Philippe Burlina, David E. Freund, Neil Joshi, Y. Wolfson, Neil M. Bressler
2016	—	`conf`	Face Detection and Object Recognition for a Retinal Prosthesis. ACCV Workshops (1) Derek M. Rollend, Paul E. Rosendall, Seth Billings, Philippe Burlina, Kevin C. Wolfe, Kapil D. Katyal
2016	B	`conf`	MRCNN: A stateful Fast R-CNN. ICPR Philippe Burlina
2016	B	`conf`	Ultrasound image analysis for myopathy detection. ICPR Seth Billings, Jemima Albayda, Philippe Burlina
2015	J	`jnl`	Automated segmentation of geographic atrophy of the retinal epithelium via random forests in AREDS color fundus images. Comput. Biol. Medicine Albert K. Feeny, Mongkol Tadarati, David E. Freund, Neil M. Bressler, Philippe Burlina
2015	—	`conf`	Autonomous on-board Near Earth Object detection. AIPR Purnima Rajan, Philippe Burlina, M. Chen, D. Edell, Bruno Jedynak, N. Mehta, Ayushi Sinha, Gregory D. Hager
2015	J	`jnl`	Non-invasive estimation of skin thickness from hyperspectral imaging and validation using echography. Comput. Biol. Medicine Saurabh Vyas, Jon Meyerle, Philippe Burlina
2014	B	`conf`	Computing Cardiac Strain from Variational Optical Flow in Four-Dimensional Echocardiography. CBMS Saurabh Vyas, James S. Gammie, Philippe Burlina
2014	—	`conf`	Cross validating hyperspectral with Ultrasound-based skin thickness estimation. WHISPERS Saurabh Vyas, Jon Meyerle, Philippe Burlina
2013	—	`conf`	A practical test set bound for rank learning. MLSP Nathan Drenkow, Philippe Burlina, I-Jeng Wang, Daniel DeMenthon, Craig Carmen
2013	—	`conf`	Endocardium segmentation in 3D Transesophageal Echocardiography. ISBI Saurabh Vyas, Ryan Mukherjee, Federico Sosa, Philippe Burlina
2013	—	`conf`	Hyperspectral signature analysis of skin parameters. Computer-Aided Diagnosis Saurabh Vyas, Amit Banerjee, Luis Garza, Sewon Kang, Philippe Burlina
2013	B	`conf`	Machine learning methods for in vivo skin parameter estimation. CBMS Saurabh Vyas, Amit Banerjee, Philippe Burlina
2013	J	`jnl`	Mitral Valve Closure Prediction With 3-D Personalized Anatomical Models and Anisotropic Hyperelastic Tissue Assumptions. IEEE Trans. Biomed. Eng. Chad Sprouse, Ryan Mukherjee, Philippe Burlina
2012	—	`conf`	A personalized mitral valve closure simulator. EMBC Philippe Burlina, Ryan Mukherjee, Chad Sprouse
2012	—	`conf`	Dense myocardial motion from 4D ultrasound: Comparative performance evaluation. ISBI Ryan Mukherjee, Aurelio Pinheiro, James S. Gammie, David D. Yuh, Theodore Abraham, Elliot R. McVeigh, Philippe Burlina
2012	—	`conf`	Valvular closure prediction using anisotropic and hyperelastic tissue models and individualized anatomy derived from RT3DE. EMBC Chad Sprouse, Ryan Mukherjee, Philippe Burlina
2011	—	`conf`	Automatic screening of age-related macular degeneration and retinal abnormalities. EMBC Philippe Burlina, David E. Freund, B. Dupas, Neil M. Bressler
2011	—	`conf`	Automatic segmentation of the left-ventricular cavity and atrium in 3D ultrasound using graph cuts and the radial symmetry transform. ISBI Radford Juang, Elliot R. McVeigh, Beatrice Hoffmann, David D. Yuh, Philippe Burlina
2011	—	`conf`	Myocardial motion computation in 4D ultrasound. ISBI Ryan Mukherjee, Chad Sprouse, Theodore Abraham, Beatrice Hoffmann, Elliot R. McVeigh, David D. Yuh, Philippe Burlina
2011	—	`conf`	Patient-specific modeling of stress/strain for surgical planning and guidance. EMBC Chad Sprouse, Daniel DeMenthon, James S. Gammie, Philippe Burlina
2011	—	`conf`	Recovering Endocardial Walls from 3D TEE. FIMH Philippe Burlina, Ryan Mukherjee, Radford Juang, Chad Sprouse
2010	J	`jnl`	Distributed Consensus on Camera Pose. IEEE Trans. Image Process. Anne Jorstad, Daniel DeMenthon, I-Jeng Wang, Philippe Burlina
2010	J	`jnl`	Efficient Particle Filtering via Sparse Kernel Density Estimation. IEEE Trans. Image Process. Amit Banerjee, Philippe Burlina
2010	—	`conf`	Increasing temporal resolution of 3D transesophageal ultrasound by rigid body registration of sequential, temporally offset sequences. ISBI 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
2010	—	`conf`	Patient-Specific Modeling and Analysis of the Mitral Valve Using 3D-TEE. IPCAI Philippe Burlina, Chad Sprouse, Daniel DeMenthon, Anne Jorstad, Radford Juang, Francisco Contijoch, Theodore Abraham, David D. Yuh, Elliot R. McVeigh
2010	C	`conf`	Sparse feature extraction for Support Vector Data Description applications. IGARSS Amit Banerjee, Radford Juang, Joshua B. Broadwater, Philippe Burlina
2009	—	`conf`	Automated Detection of Drusen in the Macula. ISBI David E. Freund, Neil M. Bressler, Philippe Burlina
2009	C	`conf`	Comparative performance evaluation of GM-PHD filter in clutter. FUSION Radford Juang, Philippe Burlina
2009	—	`conf`	Hyperspectral video for illumination-invariant tracking. WHISPERS Amit Banerjee, Philippe Burlina, Joshua B. Broadwater
2009	—	`conf`	Tracking Cell Motion Using GM-PHD. ISBI Radford Juang, Andre Levchenko, Philippe Burlina
2008	—	`conf`	Characterization of spatial ordering of corneal stroma fibrils. ISBI David E. Freund, Philippe Burlina, Amit Banerjee
2008	C	`conf`	Level set segmentation of hyperspectral images using joint spectral edge and signature information. FUSION Radford Juang, Philippe Burlina, Amit Banerjee
2007	C	`conf`	A machine learning approach for finding hyperspectral endmembers. IGARSS Amit Banerjee, Philippe Burlina, Joshua B. Broadwater
2007	—	`conf`	Fast Hyperspectral Anomaly Detection via SVDD. ICIP (4) Amit Banerjee, Philippe Burlina, Reuven Meth
2007	C	`conf`	Kernel fully constrained least squares abundance estimates. IGARSS Joshua B. Broadwater, Rama Chellappa, Amit Banerjee, Philippe Burlina
2006	J	`jnl`	A support vector method for anomaly detection in hyperspectral imagery. IEEE Trans. Geosci. Remote. Sens. Amit Banerjee, Philippe Burlina, Chris Diehl
1999	J	`jnl`	Adaptive target detection in foliage-penetrating SAR images using alpha-stable models. IEEE Trans. Image Process. Amit Banerjee, Philippe Burlina, Rama Chellappa
1999	B	`conf`	Detection of people in images. IJCNN A. N. Rajagopalan, Philippe Burlina, Rama Chellappa
1999	A*	`conf`	Higher Order Statistical Learning for Vehicle Detection in Images. ICCV A. N. Rajagopalan, Philippe Burlina, Rama Chellappa
1999	J	`jnl`	Image segmentation and labeling using the Polya urn model. IEEE Trans. Image Process. Amit Banerjee, Philippe Burlina, Fady Alajaji
1999	J	`jnl`	Knowledge-based control of vision systems. Image Vis. Comput. Chandra Shekhar, Sabine Moisan, Régis Vincent, Philippe Burlina, Rama Chellappa
1999	Misc	`conf`	Single Camera Multiplexing for Multi-Target Tracking. ICIAP Chiraz BenAbdelkader, Philippe Burlina, Larry S. Davis
1999	J	`jnl`	Visual communication via trellis coding and transmission energy allocation. IEEE Trans. Commun. Fady Alajaji, Saud A. Al-Semari, Philippe Burlina
1998	J	`jnl`	An error resilient scheme for image transmission over noisy channels with memory. IEEE Trans. Image Process. Philippe Burlina, Fady Alajaji
1998	A*	`conf`	Contagion-Based Image Segmentation and Labeling. ICCV Amit Banerjee, Philippe Burlina, Fady Alajaji
1998	—	`conf`	Frequency Dependence of ATD Performance in Foliage-Penetrating SAR Images. ICIP (1) Amit Banerjee, Philippe Burlina, Rama Chellappa, Rohit Kapoor
1998	—	`conf`	On-the-Fly Snake Construction from Video. ICIP (3) Gamze D. Cetintemel, Philippe Burlina
1998	J	`jnl`	Temporal Analysis of Motion in Video Sequences through Predictive Operators. Int. J. Comput. Vis. Philippe Burlina, Rama Chellappa
1998	—	`conf`	Use of Knowledge-Based Control for Vision Systems. IEA/AIE (Vol. 2) Chandra Shekhar, Sabine Moisan, Régis Vincent, Philippe Burlina, Rama Chellappa
1997	J	`jnl`	A spectral attentional mechanism tuned to object configurations. IEEE Trans. Image Process. Philippe Burlina, Rama Chellappa
1997	C	`conf`	Adaptive source-channel subband video coding for wireless channels. MMSP Murari Srinivasan, Rama Chellappa, Philippe Burlina
1997	J	`jnl`	On the positioning of multisensor imagery for exploitation and target recognition. Proc. IEEE Rama Chellappa, Qinfen Zheng, Philippe Burlina, Chandra Shekhar, Kie B. Eom
1997	Misc	`conf`	Performance analysis and learning approaches for vehicle detection and counting in aerial images. ICASSP Vasu Parameswaran, Philippe Burlina, Rama Chellappa
1997	—	`conf`	Video Coding Using Hybrid Motion Compensation. ICIP (1) Carlos Morimoto, Philippe Burlina, Rama Chellappa
1996	J	`jnl`	Analyzing Looming Motion Components From Their Spatiotemporal Spectral Signature. IEEE Trans. Pattern Anal. Mach. Intell. Philippe Burlina, Rama Chellappa
1996	Misc	`conf`	Automatic image-to-site model registration. ICASSP Xiaopeng Zhang, Philippe Burlina, Qinfen Zheng, Ramalingam Chellappa
1996	—	`conf`	MAP decoding of gray-level images over binary channels with memory. ICIP (2) Fady Alajaji, Philippe Burlina, Rama Chellappa
1996	A*	`conf`	On a spectral attentional mechanism. CVPR Philippe Burlina, Bruce Lin, Rama Chellappa
1996	—	`conf`	Performance analysis of model-based video coding. ICIP (3) Carlos Morimoto, Philippe Burlina, Rama Chellappa, Yi-Sheng Yao
1995	B	`conf`	Electronic image stabilization using multiple visual cues. ICIP Yi-Sheng Yao, Philippe Burlina, Rama Chellappa, Ting-Hu Wu
1995	B	`conf`	Image modeling and restoration through contagion urn schemes. ICIP Fady Alajaji, Philippe Burlina
1994	—	`conf`	Spatio-temporal Moments and Generalized Spectral Analysis of Divergent Images for Motion Estimation. ICIP (1) Philippe Burlina, Rama Chellappa
1994	A*	`conf`	Time-to-X: analysis of motion through temporal parameters. CVPR Philippe Burlina, Rama Chellappa
1992	A*	`conf`	Navigation with uncertainty: reaching a goal in a high collision risk region. ICRA Philippe Burlina, Daniel DeMenthon, Larry S. Davis
1992	—	`conf`	Probabilistic navigation methods for uncertain and dynamic environments. ICPR (1) Philippe Burlina, Daniel DeMenthon, Larry S. Davis