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Philippe Burlina
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- affiliation: Johns Hopkins University
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2020 – today
- 2024
- [j24]Adam Gronowski
, William Paul
, Fady Alajaji
, Bahman Gharesifard
, Philippe Burlina:
Classification Utility, Fairness, and Compactness via Tunable Information Bottleneck and Rényi Measures. IEEE Trans. Inf. Forensics Secur. 19: 1630-1645 (2024) - [i23]Bo Hui, Haolin Yuan, Neil Zhenqiang Gong, Philippe Burlina, Yinzhi Cao:
PLeak: Prompt Leaking Attacks against Large Language Model Applications. CoRR abs/2405.06823 (2024) - 2023
- [c77]Yuchen Yang, Haolin Yuan, Bo Hui, Neil Zhenqiang Gong, Neil Fendley, Philippe Burlina, Yinzhi Cao:
Fortifying Federated Learning against Membership Inference Attacks via Client-level Input Perturbation. DSN 2023: 288-301 - [c76]Haolin Yuan, John N. Aucott, Armin Hadzic, William Paul, Marcia Villegas de Flores, Philip Mathew, Philippe Burlina, Yinzhi Cao:
EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness. MICCAI (4) 2023: 374-384 - [c75]Nathan Drenkow, Max Lennon, I-Jeng Wang, Philippe Burlina:
Do Adaptive Active Attacks Pose Greater Risk Than Static Attacks? WACV 2023: 1380-1389 - [i22]William Paul, Philip Mathew, Fady Alajaji, Philippe Burlina:
Evaluating Trade-offs in Computer Vision Between Attribute Privacy, Fairness and Utility. CoRR abs/2302.07917 (2023) - 2022
- [j23]William Paul, Armin Hadzic, Neil Joshi, Fady Alajaji, Philippe Burlina:
TARA: Training and Representation Alteration for AI Fairness and Domain Generalization. Neural Comput. 34(3): 716-753 (2022) - [c74]William Paul, Philippe Burlina:
Robustness and Adaptation to Hidden Factors of Variation. CVPR Workshops 2022: 122-129 - [c73]Adam Gronowski, William Paul, Fady Alajaji, Bahman Gharesifard, Philippe Burlina:
Rényi Fair Information Bottleneck for Image Classification. CWIT 2022: 11-15 - [c72]Haolin Yuan, Bo Hui, Yuchen Yang, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao:
Addressing Heterogeneity in Federated Learning via Distributional Transformation. ECCV (38) 2022: 179-195 - [c71]Nathan Drenkow, Neil Fendley, Philippe Burlina:
Attack Agnostic Detection of Adversarial Examples via Random Subspace Analysis. WACV 2022: 2815-2825 - [i21]Haolin Yuan, Armin Hadzic, William Paul, Daniella Villegas de Flores, Philip Mathew, John N. Aucott, Yinzhi Cao, Philippe Burlina:
EdgeMixup: Improving Fairness for Skin Disease Classification and Segmentation. CoRR abs/2202.13883 (2022) - [i20]William Paul, Philippe Burlina:
Robustness and Adaptation to Hidden Factors of Variation. CoRR abs/2203.01864 (2022) - [i19]Adam Gronowski, William Paul, Fady Alajaji, Bahman Gharesifard, Philippe Burlina:
Renyi Fair Information Bottleneck for Image Classification. CoRR abs/2203.04950 (2022) - [i18]Adam Gronowski, William Paul, Fady Alajaji, Bahman Gharesifard, Philippe Burlina:
Achieving Utility, Fairness, and Compactness via Tunable Information Bottleneck Measures. CoRR abs/2206.10043 (2022) - [i17]Haolin Yuan, Bo Hui, Yuchen Yang, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao:
Addressing Heterogeneity in Federated Learning via Distributional Transformation. CoRR abs/2210.15025 (2022) - 2021
- [j22]William Paul, I-Jeng Wang, Fady Alajaji, Philippe Burlina:
Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes With Applications to Anomaly Detection. Neural Comput. 33(3): 802-826 (2021) - [j21]Himesh Bhatia, William Paul, Fady Alajaji, Bahman Gharesifard, Philippe Burlina:
Least kth-Order and Rényi Generative Adversarial Networks. Neural Comput. 33(9): 2473-2510 (2021) - [c70]William Paul, Yinzhi Cao, Miaomiao Zhang, Philippe Burlina:
Defending Medical Image Diagnostics Against Privacy Attacks Using Generative Methods: Application to Retinal Diagnostics. CLIP/DCL/LL-COVID19/PPML@MICCAI 2021: 174-187 - [c69]Nathan Drenkow, Philippe Burlina, Neil Fendley, Onyekachi Odoemene, Jared Markowitz:
Addressing Visual Search in Open and Closed Set Settings. CVPR Workshops 2021: 1143-1151 - [c68]Max Lennon, Nathan Drenkow, Philippe Burlina:
Patch Attack Invariance: How Sensitive are Patch Attacks to 3D Pose? ICCVW 2021: 112-121 - [c67]Bo Hui, Yuchen Yang, Haolin Yuan, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao:
Practical Blind Membership Inference Attack via Differential Comparisons. NDSS 2021 - [i16]Bo Hui, Yuchen Yang, Haolin Yuan, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao:
Practical Blind Membership Inference Attack via Differential Comparisons. CoRR abs/2101.01341 (2021) - [i15]William Paul, Yinzhi Cao, Miaomiao Zhang, Philippe Burlina:
Defending Medical Image Diagnostics against Privacy Attacks using Generative Methods. CoRR abs/2103.03078 (2021) - [i14]Neil Joshi, Philippe M. Burlina:
AI Fairness via Domain Adaptation. CoRR abs/2104.01109 (2021) - [i13]William Paul, Philippe Burlina:
Generalizing Fairness: Discovery and Mitigation of Unknown Sensitive Attributes. CoRR abs/2107.13625 (2021) - [i12]Max Lennon, Nathan Drenkow, Philippe Burlina:
Patch Attack Invariance: How Sensitive are Patch Attacks to 3D Pose? CoRR abs/2108.07229 (2021) - 2020
- [j20]Philippe M. Burlina, Neil J. Joshi, Phil A. Mathew
, William Paul, Alison W. Rebman, John N. Aucott:
AI-based detection of erythema migrans and disambiguation against other skin lesions. Comput. Biol. Medicine 125: 103977 (2020) - [c66]Neil Fendley, Max Lennon, I-Jeng Wang, Philippe Burlina, Nathan Drenkow:
Jacks of All Trades, Masters of None: Addressing Distributional Shift and Obtrusiveness via Transparent Patch Attacks. ECCV Workshops (1) 2020: 105-119 - [i11]William Paul, I-Jeng Wang, Fady Alajaji, Philippe Burlina:
Unsupervised Semantic Attribute Discovery and Control in Generative Models. CoRR abs/2002.11169 (2020) - [i10]Philippe Burlina, Neil Joshi, William Paul, Katia D. Pacheco, Neil M. Bressler:
Addressing Artificial Intelligence Bias in Retinal Disease Diagnostics. CoRR abs/2004.13515 (2020) - [i9]Neil Fendley, Max Lennon, I-Jeng Wang, Philippe Burlina, Nathan Drenkow:
Jacks of All Trades, Masters Of None: Addressing Distributional Shift and Obtrusiveness via Transparent Patch Attacks. CoRR abs/2005.00656 (2020) - [i8]Himesh Bhatia, William Paul, Fady Alajaji, Bahman Gharesifard, Philippe Burlina:
Rényi Generative Adversarial Networks. CoRR abs/2006.02479 (2020) - [i7]Philippe M. Burlina, William Paul, Phil A. Mathew, Neil J. Joshi, Alison W. Rebman, John N. Aucott:
AI Progress in Skin Lesion Analysis. CoRR abs/2009.13323 (2020) - [i6]William Paul, Armin Hadzic, Neil Joshi, Philippe Burlina:
RENATA: REpreseNtation And Training Alteration for Bias Mitigation. CoRR abs/2012.06387 (2020) - [i5]Nathan Drenkow, Neil Fendley, Philippe Burlina:
Random Projections for Adversarial Attack Detection. CoRR abs/2012.06405 (2020) - [i4]Nathan Drenkow, Philippe Burlina, Neil Fendley, Kachi Odoemene, Jared Markowitz:
Objectness-Guided Open Set Visual Search and Closed Set Detection. CoRR abs/2012.06509 (2020)
2010 – 2019
- 2019
- [j19]Philippe Burlina, Neil Joshi, Seth Billings, I-Jeng Wang, Jemima Albayda:
Deep embeddings for novelty detection in myopathy. Comput. Biol. Medicine 105: 46-53 (2019) - [j18]Philippe M. Burlina, Neil Joshi, Elise Ng, Seth D. Billings, Alison W. Rebman, John N. Aucott:
Automated detection of erythema migrans and other confounding skin lesions via deep learning. Comput. Biol. Medicine 105: 151-156 (2019) - [j17]Michael J. Pekala, Neil Joshi, T. Y. Alvin Liu, Neil M. Bressler, Delia Cabrera DeBuc
, Philippe Burlina:
Deep learning based retinal OCT segmentation. Comput. Biol. Medicine 114 (2019) - [c65]Philippe Burlina, Neil Joshi, I-Jeng Wang:
Where's Wally Now? Deep Generative and Discriminative Embeddings for Novelty Detection. CVPR 2019: 11507-11516 - [c64]Kapil D. Katyal, Katie M. Popek, Chris Paxton, Philippe Burlina, Gregory D. Hager:
Uncertainty-Aware Occupancy Map Prediction Using Generative Networks for Robot Navigation. ICRA 2019: 5453-5459 - [c63]Philippe Burlina, Neil J. Joshi, Seth Billings, I-Jeng Wang, Jemima Albayda:
Unsupervised Deep Novelty Detection: Application To Muscle Ultrasound And Myositis Screening. ISBI 2019: 1910-1914 - 2018
- [c62]Valentina Bellemo, Philippe Burlina, Liu Yong, Tien Yin Wong
, Daniel Shu Wei Ting:
Generative Adversarial Networks (GANs) for Retinal Fundus Image Synthesis. ACCV Workshops 2018: 289-302 - [c61]Philippe Burlina, Neil Joshi, Neil M. Bressler:
AI-based AMD Analysis: A Review of Recent Progress. ACCV Workshops 2018: 303-308 - [c60]Michael J. Pekala, Neil Joshi, T. Y. Alvin Liu, Neil M. Bressler, Delia Cabrera DeBuc
, Philippe Burlina:
OCT Segmentation via Deep Learning: A Review of Recent Work. ACCV Workshops 2018: 316-322 - [c59]Edward W. Staley, Kapil D. Katyal, Philippe Burlina:
DRL Based Intelligent Joint Manipulator and Viewing Camera Control for Reaching Tasks and Environments with Obstacles and Occluders. IJCNN 2018: 1-7 - [c58]Philippe Burlina, Neil Joshi, Elise Ng, Seth Billings, Alison W. Rebman, John N. Aucott:
Skin Image Analysis for Erythema Migrans Detection and Automated Lyme Disease Referral. OR 2.0/CARE/CLIP/ISIC@MICCAI 2018: 244-251 - [i3]Michael J. Pekala, Neil Joshi, David E. Freund, Neil M. Bressler, Delia Cabrera DeBuc, Philippe M. Burlina:
Deep Learning based Retinal OCT Segmentation. CoRR abs/1801.09749 (2018) - [i2]Kapil D. Katyal, Katie M. Popek, Chris Paxton, Joseph L. Moore, Kevin C. Wolfe, Philippe Burlina, Gregory D. Hager:
Occupancy Map Prediction Using Generative and Fully Convolutional Networks for Vehicle Navigation. CoRR abs/1803.02007 (2018) - 2017
- [j16]Philippe Burlina, Katia D. Pacheco, Neil Joshi, David E. Freund, Neil M. Bressler:
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 82: 80-86 (2017) - [c57]Kapil D. Katyal, I-Jeng Wang, Philippe Burlina:
Leveraging Deep Reinforcement Learning for Reaching Robotic Tasks. CVPR Workshops 2017: 490-491 - [c56]Neil Joshi, Seth Billings, Erika Schwartz, Susan C. Harvey, Philippe Burlina:
Machine Learning Methods for 1D Ultrasound Breast Cancer Screening. ICMLA 2017: 711-715 - [c55]Arnaldo Horta, Neil Joshi, Michael J. Pekala, Katia D. Pacheco, Jun Kong, Neil M. Bressler, David E. Freund, Philippe Burlina:
A Hybrid Approach for Incorporating Deep Visual Features and Side Channel Information with Applications to AMD Detection. ICMLA 2017: 716-720 - [c54]Jared Markowitz, Aurora C. Schmidt, Philippe M. Burlina, I-Jeng Wang:
Hierarchical zero-shot classification with convolutional neural network features and semantic attribute learning. MVA 2017: 194-197 - [i1]Jared Markowitz, Aurora C. Schmidt, Philippe M. Burlina, I-Jeng Wang:
Combining Deep Universal Features, Semantic Attributes, and Hierarchical Classification for Zero-Shot Learning. CoRR abs/1712.03151 (2017) - 2016
- [c53]Derek M. Rollend, Paul E. Rosendall, Seth Billings, Philippe Burlina, Kevin C. Wolfe, Kapil D. Katyal:
Face Detection and Object Recognition for a Retinal Prosthesis. ACCV Workshops (1) 2016: 303-313 - [c52]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:
Embedded clutter reduction and face detection algorithms for a visual prosthesis. EMBC 2016: 411-414 - [c51]Seth Billings, Jemima Albayda, Philippe Burlina:
Ultrasound image analysis for myopathy detection. ICPR 2016: 1461-1465 - [c50]Philippe Burlina:
MRCNN: A stateful Fast R-CNN. ICPR 2016: 3518-3523 - [c49]Philippe Burlina, David E. Freund, Neil Joshi, Y. Wolfson, Neil M. Bressler:
Detection of age-related macular degeneration via deep learning. ISBI 2016: 184-188 - 2015
- [j15]Saurabh Vyas, Jon Meyerle, Philippe Burlina:
Non-invasive estimation of skin thickness from hyperspectral imaging and validation using echography. Comput. Biol. Medicine 57: 173-181 (2015) - [j14]Albert K. Feeny
, Mongkol Tadarati, David E. Freund, Neil M. Bressler, Philippe Burlina:
Automated segmentation of geographic atrophy of the retinal epithelium via random forests in AREDS color fundus images. Comput. Biol. Medicine 65: 124-136 (2015) - [c48]Purnima Rajan, Philippe Burlina, M. Chen, D. Edell, Bruno Jedynak, N. Mehta, Ayushi Sinha, Gregory D. Hager:
Autonomous on-board Near Earth Object detection. AIPR 2015: 1-10 - [c47]Philippe M. Burlina, Aurora C. Schmidt, I-Jeng Wang:
Zero Shot Deep Learning from Semantic Attributes. ICMLA 2015: 871-876 - 2014
- [c46]Saurabh Vyas, James S. Gammie, Philippe Burlina:
Computing Cardiac Strain from Variational Optical Flow in Four-Dimensional Echocardiography. CBMS 2014: 149-152 - [c45]Saurabh Vyas, Jon Meyerle, Philippe Burlina:
Cross validating hyperspectral with Ultrasound-based skin thickness estimation. WHISPERS 2014: 1-4 - 2013
- [j13]Chad Sprouse, Ryan Mukherjee, Philippe Burlina:
Mitral Valve Closure Prediction With 3-D Personalized Anatomical Models and Anisotropic Hyperelastic Tissue Assumptions. IEEE Trans. Biomed. Eng. 60(11): 3238-3247 (2013) - [c44]Saurabh Vyas, Amit Banerjee, Philippe Burlina:
Machine learning methods for in vivo skin parameter estimation. CBMS 2013: 524-525 - [c43]Saurabh Vyas, Ryan Mukherjee, Federico Sosa, Philippe Burlina:
Endocardium segmentation in 3D Transesophageal Echocardiography. ISBI 2013: 57-60 - [c42]Saurabh Vyas, Amit Banerjee, Luis Garza
, Sewon Kang, Philippe Burlina:
Hyperspectral signature analysis of skin parameters. Medical Imaging: Computer-Aided Diagnosis 2013: 867002 - [c41]Nathan Drenkow, Philippe Burlina, I-Jeng Wang, Daniel DeMenthon, Craig Carmen:
A practical test set bound for rank learning. MLSP 2013: 1-6 - 2012
- [c40]Chad Sprouse, Ryan Mukherjee, Philippe Burlina:
Valvular closure prediction using anisotropic and hyperelastic tissue models and individualized anatomy derived from RT3DE. EMBC 2012: 6632-6635 - [c39]Philippe Burlina, Ryan Mukherjee, Chad Sprouse:
A personalized mitral valve closure simulator. EMBC 2012: 6636-6640 - [c38]Ryan Mukherjee, Aurelio Pinheiro, James S. Gammie, David D. Yuh, Theodore Abraham, Elliot R. McVeigh, Philippe Burlina:
Dense myocardial motion from 4D ultrasound: Comparative performance evaluation. ISBI 2012: 278-281 - 2011
- [c37]Philippe Burlina, David E. Freund, B. Dupas, Neil M. Bressler:
Automatic screening of age-related macular degeneration and retinal abnormalities. EMBC 2011: 3962-3966 - [c36]Chad Sprouse, Daniel DeMenthon, James S. Gammie, Philippe Burlina:
Patient-specific modeling of stress/strain for surgical planning and guidance. EMBC 2011: 4309-4313 - [c35]Philippe Burlina, Ryan Mukherjee, Radford Juang, Chad Sprouse:
Recovering Endocardial Walls from 3D TEE. FIMH 2011: 284-293 - [c34]Radford Juang, Elliot R. McVeigh, Beatrice Hoffmann
, David D. Yuh, Philippe Burlina:
Automatic segmentation of the left-ventricular cavity and atrium in 3D ultrasound using graph cuts and the radial symmetry transform. ISBI 2011: 606-609 - [c33]Ryan Mukherjee, Chad Sprouse, Theodore Abraham, Beatrice Hoffmann
, Elliot R. McVeigh, David D. Yuh, Philippe Burlina:
Myocardial motion computation in 4D ultrasound. ISBI 2011: 1070-1073 - 2010
- [j12]Anne Jorstad
, Daniel DeMenthon, I-Jeng Wang, Philippe Burlina:
Distributed Consensus on Camera Pose. IEEE Trans. Image Process. 19(9): 2396-2407 (2010) - [j11]Amit Banerjee, Philippe Burlina:
Efficient Particle Filtering via Sparse Kernel Density Estimation. IEEE Trans. Image Process. 19(9): 2480-2490 (2010) - [c32]Amit Banerjee, Radford Juang, Joshua B. Broadwater, Philippe Burlina:
Sparse feature extraction for Support Vector Data Description applications. IGARSS 2010: 4236-4239 - [c31]Philippe Burlina, Chad Sprouse, Daniel DeMenthon, Anne Jorstad
, Radford Juang, Francisco Contijoch
, Theodore Abraham, David D. Yuh, Elliot R. McVeigh:
Patient-Specific Modeling and Analysis of the Mitral Valve Using 3D-TEE. IPCAI 2010: 135-146 - [c30]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:
Increasing temporal resolution of 3D transesophageal ultrasound by rigid body registration of sequential, temporally offset sequences. ISBI 2010: 328-331
2000 – 2009
- 2009
- [c29]Radford Juang, Philippe Burlina:
Comparative performance evaluation of GM-PHD filter in clutter. FUSION 2009: 1195-1202 - [c28]David E. Freund, Neil M. Bressler, Philippe Burlina:
Automated Detection of Drusen in the Macula. ISBI 2009: 61-64 - [c27]Radford Juang, Andre Levchenko, Philippe Burlina:
Tracking Cell Motion Using GM-PHD. ISBI 2009: 1154-1157 - [c26]Amit Banerjee, Philippe Burlina, Joshua B. Broadwater:
Hyperspectral video for illumination-invariant tracking. WHISPERS 2009: 1-4 - 2008
- [c25]Radford Juang, Philippe Burlina, Amit Banerjee:
Level set segmentation of hyperspectral images using joint spectral edge and signature information. FUSION 2008: 1-7 - [c24]David E. Freund, Philippe Burlina, Amit Banerjee:
Characterization of spatial ordering of corneal stroma fibrils. ISBI 2008: 963-966 - 2007
- [c23]Amit Banerjee, Philippe Burlina, Reuven Meth:
Fast Hyperspectral Anomaly Detection via SVDD. ICIP (4) 2007: 101-104 - [c22]Amit Banerjee, Philippe Burlina, Joshua B. Broadwater:
A machine learning approach for finding hyperspectral endmembers. IGARSS 2007: 3817-3820 - [c21]Joshua B. Broadwater, Rama Chellappa, Amit Banerjee, Philippe Burlina:
Kernel fully constrained least squares abundance estimates. IGARSS 2007: 4041-4044 - 2006
- [j10]Amit Banerjee, Philippe Burlina, Chris Diehl:
A support vector method for anomaly detection in hyperspectral imagery. IEEE Trans. Geosci. Remote. Sens. 44(8): 2282-2291 (2006)
1990 – 1999
- 1999
- [j9]Chandra Shekhar, Sabine Moisan, Régis Vincent, Philippe Burlina, Rama Chellappa:
Knowledge-based control of vision systems. Image Vis. Comput. 17(9): 667-683 (1999) - [j8]Fady Alajaji, Saud A. Al-Semari, Philippe Burlina:
Visual communication via trellis coding and transmission energy allocation. IEEE Trans. Commun. 47(11): 1722-1728 (1999) - [j7]Amit Banerjee, Philippe Burlina, Fady Alajaji:
Image segmentation and labeling using the Polya urn model. IEEE Trans. Image Process. 8(9): 1243-1253 (1999) - [j6]Amit Banerjee, Philippe Burlina, Rama Chellappa:
Adaptive target detection in foliage-penetrating SAR images using alpha-stable models. IEEE Trans. Image Process. 8(12): 1823-1831 (1999) - [c20]A. N. Rajagopalan, Philippe Burlina, Rama Chellappa:
Higher Order Statistical Learning for Vehicle Detection in Images. ICCV 1999: 1204-1209 - [c19]Chiraz BenAbdelkader, Philippe Burlina, Larry S. Davis:
Single Camera Multiplexing for Multi-Target Tracking. ICIAP 1999: 1140-1143 - [c18]A. N. Rajagopalan, Philippe Burlina, Rama Chellappa:
Detection of people in images. IJCNN 1999: 2747-2752 - 1998
- [j5]Philippe Burlina, Rama Chellappa:
Temporal Analysis of Motion in Video Sequences through Predictive Operators. Int. J. Comput. Vis. 28(2): 175-192 (1998) - [j4]Philippe Burlina, Fady Alajaji:
An error resilient scheme for image transmission over noisy channels with memory. IEEE Trans. Image Process. 7(4): 593-600 (1998) - [c17]Amit Banerjee, Philippe Burlina, Fady Alajaji:
Contagion-Based Image Segmentation and Labeling. ICCV 1998: 255-260 - [c16]Amit Banerjee, Philippe Burlina, Rama Chellappa, Rohit Kapoor:
Frequency Dependence of ATD Performance in Foliage-Penetrating SAR Images. ICIP (1) 1998: 578-582 - [c15]Gamze D. Cetintemel, Philippe Burlina:
On-the-Fly Snake Construction from Video. ICIP (3) 1998: 638-642 - [c14]Chandra Shekhar, Sabine Moisan, Régis Vincent, Philippe Burlina, Rama Chellappa:
Use of Knowledge-Based Control for Vision Systems. IEA/AIE (Vol. 2) 1998: 427-436 - 1997
- [j3]Rama Chellappa, Qinfen Zheng, Philippe Burlina, Chandra Shekhar, Kie B. Eom:
On the positioning of multisensor imagery for exploitation and target recognition. Proc. IEEE 85(1): 120-138 (1997) - [j2]Philippe Burlina, Rama Chellappa:
A spectral attentional mechanism tuned to object configurations. IEEE Trans. Image Process. 6(8): 1117-1128 (1997) - [c13]Vasu Parameswaran, Philippe Burlina, Rama Chellappa:
Performance analysis and learning approaches for vehicle detection and counting in aerial images. ICASSP 1997: 2753-2756 - [c12]Carlos Morimoto, Philippe Burlina, Rama Chellappa:
Video Coding Using Hybrid Motion Compensation. ICIP (1) 1997: 89-92 - [c11]Murari Srinivasan, Rama Chellappa, Philippe Burlina:
Adaptive source-channel subband video coding for wireless channels. MMSP 1997: 407-412 - 1996
- [j1]Philippe Burlina, Rama Chellappa:
Analyzing Looming Motion Components From Their Spatiotemporal Spectral Signature. IEEE Trans. Pattern Anal. Mach. Intell. 18(10): 1029-1033 (1996) - [c10]Philippe Burlina, Bruce Lin, Rama Chellappa:
On a spectral attentional mechanism. CVPR 1996: 120-127 - [c9]Xiaopeng Zhang, Philippe Burlina, Qinfen Zheng, Ramalingam Chellappa:
Automatic image-to-site model registration. ICASSP 1996: 2164-2167 - [c8]Fady Alajaji, Philippe Burlina, Rama Chellappa:
MAP decoding of gray-level images over binary channels with memory. ICIP (2) 1996: 29-32 - [c7]Carlos Morimoto, Philippe Burlina, Rama Chellappa, Yi-Sheng Yao:
Performance analysis of model-based video coding. ICIP (3) 1996: 279-282 - 1995
- [c6]Fady Alajaji, Philippe Burlina:
Image modeling and restoration through contagion urn schemes. ICIP 1995: 53-56 - [c5]Yi-Sheng Yao, Philippe Burlina, Rama Chellappa, Ting-Hu Wu:
Electronic image stabilization using multiple visual cues. ICIP 1995: 191-194 - 1994
- [c4]Philippe Burlina, Rama Chellappa:
Time-to-X: analysis of motion through temporal parameters. CVPR 1994: 461-468 - [c3]Philippe Burlina, Rama Chellappa:
Spatio-temporal Moments and Generalized Spectral Analysis of Divergent Images for Motion Estimation. ICIP (1) 1994: 328-332 - 1992
- [c2]Philippe Burlina, Daniel DeMenthon, Larry S. Davis:
Probabilistic navigation methods for uncertain and dynamic environments. ICPR (1) 1992: 312-315 - [c1]Philippe Burlina, Daniel DeMenthon, Larry S. Davis:
Navigation with uncertainty: reaching a goal in a high collision risk region. ICRA 1992: 2440-2445
Coauthor Index
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