Andreas E. Savakis

发表

SIAMESE NETWORK WITH MULTI-LEVEL FEATURES FOR PATCH-BASED CHANGE DETECTION IN SATELLITE IMAGERY

Faiz Ur Rahman, Bhavan Vasu, Jared Van Cor, 2018, 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Guest Editorial Special Issue on Extreme Imaging

Wolfgang Heidrich, Andreas E. Savakis, William T. Freeman, 2017, IEEE Trans. Computational Imaging.

LGE-KSVD: Flexible Dictionary Learning for Optimized Sparse Representation Classification

Andreas E. Savakis, Raymond W. Ptucha, A. Savakis, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops.

Crowdpainting with Light: Participatory Imaging at the Big Shot

Andreas E. Savakis, Michael Peres, A. Savakis, 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).

Lean histogram of oriented gradients features for effective eye detection

Andreas E. Savakis, Riti Sharma, A. Savakis, 2015, J. Electronic Imaging.

Fusion of static and temporal predictors for unconstrained facial expression recognition

Andreas E. Savakis, Raymond W. Ptucha, A. Savakis, 2012, 2012 19th IEEE International Conference on Image Processing.

Multilevel color form dropout: algorithms and media processor implementation

Andreas E. Savakis, Josephine A. Smith, A. Savakis, 2005, J. Electronic Imaging.

Manifold based Sparse Representation for robust expression recognition without neutral subtraction

Andreas E. Savakis, Raymond W. Ptucha, Grigorios Tsagkatakis, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

Manifold Guided Label Transfer for Deep Domain Adaptation

Andreas E. Savakis, Breton Minnehan, A. Savakis, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Facial Expression Recognition Using Facial Features and Manifold Learning

Andreas E. Savakis, Raymond W. Ptucha, A. Savakis, 2010, ISVC.

A neural network approach to key frame extraction

Andreas E. Savakis, Ricardo L. de Queiroz, Raghuveer M. Rao, 2003, IS&T/SPIE Electronic Imaging.

Grassmannian Sparse Representations and Motion Depth Surfaces for 3D Action Recognition

Andreas E. Savakis, Sherif Azary, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops.

Towards the Usage of Optical Flow Temporal Features for Facial Expression Classification

Andreas E. Savakis, Raymond W. Ptucha, A. Savakis, 2012, ISVC.

Improved scene classification using efficient low-level features and semantic cues

Jiebo Luo, Andreas E. Savakis, Navid Serrano, 2004, Pattern Recognit..

Facial pose estimation for image retrieval

Andreas E. Savakis, James Schimmel, A. Savakis, 2007, VISAPP.

Two-stage texture segmentation using complementary features

Jiebo Luo, Andreas E. Savakis, Jiebo Luo, 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

Face Detection in Resource Constrained Wireless Systems

Andreas E. Savakis, Grigorios Tsagkatakis, A. Savakis, 2008, WMMP.

Online Distance Metric Learning for Object Tracking

Andreas E. Savakis, Grigorios Tsagkatakis, A. Savakis, 2011, IEEE Transactions on Circuits and Systems for Video Technology.

A flexible hardware architecture for 2-D discrete wavelet transform

Andreas E. Savakis, Richard Carbone, A. Savakis, 2004, FPGA '04.

Adaptive multilevel median filtering of image sequences

Andreas E. Savakis, Shawn Jackson, 2005, IEEE International Conference on Image Processing 2005.

LGE-KSVD: Robust Sparse Representation Classification

Andreas E. Savakis, Raymond W. Ptucha, A. Savakis, 2014, IEEE Transactions on Image Processing.

Evaluation of lossless compression methods for gray scale document images

Andreas E. Savakis, A. Savakis, 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

Semantically Invariant Text-to-Image Generation

Andreas E. Savakis, Chi Zhang, Dheeraj Peri, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Evaluation of algorithms for lossless compression of continuous-tone images

Andreas E. Savakis, A. Savakis, 2002, J. Electronic Imaging.

Human Activity Recognition Using the 4D Spatiotemporal Shape Context Descriptor

Andreas E. Savakis, Natasha Kholgade, 2009, ISVC.

Fusion of depth and color for an improved active shape model

Andreas E. Savakis, Raymond W. Ptucha, Colin P. Bellmore, 2013, 2013 IEEE International Conference on Image Processing.

Resilience and Self-Healing of Deep Convolutional Object Detectors

Faiz Ur Rahman, Bhavan Vasu, Andreas E. Savakis, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Learning Robust Feature Representations in Deep Networks for Image Classification

Andreas E. Savakis, Breton Minnehan, A. Savakis, 2018, 2018 25th International Conference "Mixed Design of Integrated Circuits and System" (MIXDES).

Indirect camera calibration for surgery tracking

Andreas E. Savakis, Bennet Tillapaugh, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Adaptive document image thresholding using foreground and background clustering

Andreas E. Savakis, A. Savakis, 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

A computationally efficient approach to indoor/outdoor scene classification

Jiebo Luo, Andreas E. Savakis, Navid Serrano, 2002, Object recognition supported by user interaction for service robots.

Joint optimization of manifold learning and sparse representations

Andreas E. Savakis, Raymond W. Ptucha, A. Savakis, 2013, 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).

Keypoint matching and image registration using sparse representations

Andreas E. Savakis, Raymond W. Ptucha, Sherif Azary, 2013, 2013 IEEE International Conference on Image Processing.

Anomaly Detection in Video Using Predictive Convolutional Long Short-Term Memory Networks pdf

Andreas E. Savakis, Jefferson Ryan Medel, A. Savakis, 2016, ArXiv.

L1-Grassmann manifolds for robust face recognition

Andreas E. Savakis, Matthew Johnson, A. Savakis, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Aerial-CAM: Salient Structures and Textures in Network Class Activation Maps of Aerial Imagery

Faiz Ur Rahman, Bhavan Vasu, Andreas E. Savakis, 2018, 2018 IEEE 13th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP).

A random projections model for object tracking under variable pose and multi-camera views

Andreas E. Savakis, Grigorios Tsagkatakis, 2009, 2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC).

Evaluation of image appeal in consumer photography

Andreas E. Savakis, Alexander C. Loui, Stephen P. Etz, 2000, Electronic Imaging.

Random Projections for face detection under resource constraints

Andreas E. Savakis, Grigorios Tsagkatakis, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Parts-based face detection at multiple views

Andreas E. Savakis, David Higgs, 2007, VISAPP.

View Invariant Activity Recognition with Manifold Learning

Andreas E. Savakis, Sherif Azary, 2010, ISVC.

Grassmannian Spectral Regression for Action Recognition

Andreas E. Savakis, Sherif Azary, A. Savakis, 2013, ISVC.

3D Action Classification Using Sparse Spatio-temporal Feature Representations

Andreas E. Savakis, Sherif Azary, 2012, ISVC.

Robust and Efficient Tracker Using Dictionary of Binary Descriptors and Locality Constraints

Andreas E. Savakis, Breton Minnehan, Henry Spang, 2014, ISVC.

Operator decomposition using the wavelet transform: fundamental properties and image restoration applications

Michalis E. Zervakis, Andreas E. Savakis, Taek Mu Kwon, 1994, Proceedings of 1st International Conference on Image Processing.

Pose estimation using facial feature points and manifold learning

Andreas E. Savakis, Raymond W. Ptucha, 2010, 2010 IEEE International Conference on Image Processing.

Cascaded Projection: End-To-End Network Compression and Acceleration

Andreas E. Savakis, Breton Minnehan, Breton L. Minnehan, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Statistical Estimation of Fluid Flow: An Image Restoration Approach

Michalis E. Zervakis, Andreas E. Savakis, Konstantia Moirogiorgou, 2014, ISVC.

Grassmannian Spectral Regression for Learning and Classification

Andreas E. Savakis, Sherif Azary, A. Savakis, 2015, Int. J. Artif. Intell. Tools.

A novel time-frequency feature extraction algorithm based on dictionary learning

Andreas E. Savakis, Behnaz Ghoraani, Jefferson Medel, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Robust Domain Adaptation on the L1-Grassmannian Manifold

Andreas E. Savakis, Sriram Kumar, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Unsupervised automated panorama creation for realistic surveillance scenes through weighted mutual information registration

Andreas E. Savakis, Eli Saber, Harvey E. Rhody, 2011, Electronic Imaging.

Learning a perceptual manifold for image set classification

Andreas E. Savakis, Sriram Kumar, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Automatic image event segmentation and quality screening for albuming applications

Andreas E. Savakis, Alexander C. Loui, A. Loui, 2000, 2000 IEEE International Conference on Multimedia and Expo. ICME2000. Proceedings. Latest Advances in the Fast Changing World of Multimedia (Cat. No.00TH8532).

Face Recognition Using Sparse Representations and Manifold Learning

Andreas E. Savakis, Grigorios Tsagkatakis, 2010, ISVC.

Blur identification by residual spectral matching

Andreas E. Savakis, H. Joel Trussell, H. Trussell, 1993, IEEE Trans. Image Process..

A two phase approach to Bayesian network model selection and comparison between the MDL and DGM scoring heuristics

Andreas E. Savakis, Ferat Sahin, Michael J. Kane, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

A Bayesian network-based framework for semantic image understanding

Jiebo Luo, Andreas E. Savakis, Amit Singhal, 2005, Pattern Recognit..

Introduction of New Associate Editors

Arun Ross, Zhou Wang, Weisi Lin, 2016, IEEE Trans. Circuits Syst. Video Technol..

On the application of Bayes networks to semantic understanding of consumer photographs

Jiebo Luo, Andreas E. Savakis, Amit Singhal, 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

Multimodal Reconstruction Using Vector Representation

Andreas E. Savakis, John Hamilton, Dheeraj Peri, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Multiple description based image transmission with Low Density Parity Check codes

Michalis E. Zervakis, Andreas E. Savakis, Grigorios Tsagkatakis, 2008, 2008 15th IEEE International Conference on Image Processing.

Gesture Control Using Active Difference Signatures and Sparse Learning

Andreas E. Savakis, Raymond W. Ptucha, Raviteja Rudra, 2014, 2014 22nd International Conference on Pattern Recognition.

Bayesian network structure learning and inference in indoor vs. outdoor image classification

Andreas E. Savakis, Michael J. Kane, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

On the accuracy of PSF representation in image restoration

Andreas E. Savakis, H. Joel Trussell, 1993, IEEE Trans. Image Process..

Efficient Mobile Imaging Using Emphasis Image Selection

Jiebo Luo, Andreas E. Savakis, Amit Singhal, 2003, PICS.

Manifold Modeling with Learned Distance in Random Projection Space for Face Recognition

Andreas E. Savakis, Grigorios Tsagkatakis, A. Savakis, 2010, 2010 20th International Conference on Pattern Recognition.

Benchmarking and hardware implementation of JPEG-LS

Andreas E. Savakis, Michael D. Piorun, 2002, Proceedings. International Conference on Image Processing.

A spatiotemporal descriptor based on radial distances and 3D joint tracking for action classification

Andreas E. Savakis, Sherif Azary, 2012, 2012 19th IEEE International Conference on Image Processing.

A VHDL MPEG-7 shape descriptor extractor

Andreas E. Savakis, Bret Woz, 2004, FPGA '04.

Flowdometry: An Optical Flow and Deep Learning Based Approach to Visual Odometry

Andreas E. Savakis, Peter Muller, A. Savakis, 2017, 2017 IEEE Winter Conference on Applications of Computer Vision (WACV).

Manifold learning for simultaneous pose and facial expression recognition

Andreas E. Savakis, Raymond W. Ptucha, Grigorios Tsagkatakis, 2011, 2011 18th IEEE International Conference on Image Processing.

Deep domain adaptation with manifold aligned label transfer

Andreas E. Savakis, Breton Minnehan, Breton L. Minnehan, 2019, Machine Vision and Applications.

DEFRAG: Deep Euclidean Feature Representations through Adaptation on the Grassmann Manifold pdf

Andreas E. Savakis, Breton Minnehan, A. Savakis, 2018, ArXiv.

Practical image registration concerns overcome by the weighted and filtered mutual information metric

Andreas E. Savakis, Eli Saber, Harvey E. Rhody, 2012, J. Electronic Imaging.

Sparse Representations and Distance Learning for Attribute Based Category Recognition

Andreas E. Savakis, Grigorios Tsagkatakis, 2010, ECCV Workshops.

Grassmannian sparse representations

Andreas E. Savakis, Sherif Azary, A. Savakis, 2015, J. Electronic Imaging.

Indoor vs outdoor classification of consumer photographs using low-level and semantic features

Jiebo Luo, Andreas E. Savakis, Jiebo Luo, 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

Automated event clustering and quality screening of consumer pictures for digital albuming

Andreas E. Savakis, Alexander C. Loui, A. Loui, 2003, IEEE Trans. Multim..

Self-supervised texture segmentation using complementary types of features

Jiebo Luo, Andreas E. Savakis, Jiebo Luo, 2001, Pattern Recognit..

SVM with OpenCL: High performance implementation of support vector machines on heterogeneous systems

Andreas E. Savakis, Ethan Peters, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Facial pose estimation using a symmetrical feature model

Andreas E. Savakis, Raymond W. Ptucha, 2009, 2009 IEEE International Conference on Multimedia and Expo.

GILDA++: Grassmann Incremental Linear Discriminant Analysis

Andreas E. Savakis, Navya Nagananda, A. Savakis, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Color characteristics for the evaluation of suspended sediments

Euripides G. M. Petrakis, Andreas E. Savakis, Michalis Zervakis, 2015, 2015 IEEE International Conference on Imaging Systems and Techniques (IST).