Index for eken

Eken, S. * 2020: Activity Recognition for Ambient Sensing Data and Rule Based Anomaly Detection

Ekenel, H.[Hazim] * 2015: Rotation update on manifold in probabilistic NRSFM for robust 3D face modeling

Ekenel, H.K.[Hazim Kemal] * 2004: Feature selection in the independent component subspace for face recognition
* 2005: Generic Face Representation Approach for Local Appearance Based Face Verification, A
* 2005: Multiresolution face recognition
* 2006: Analysis of Local Appearance-Based Face Recognition: Effects of Feature Selection and Feature Normalization
* 2006: Block Selection in the Local Appearance-based Face Recognition Scheme
* 2006: Video-Based Face Recognition Evaluation in the CHIL Project: Run 1
* 2007: ISL Person Identification Systems in the CLEAR 2007 Evaluations
* 2007: Multi-modal Person Identification in a Smart Environment
* 2007: Video-based Face Recognition on Real-World Data
* 2008: Face recognition for smart interactions
* 2008: Tracking identities and attention in smart environments: Contributions and progress in the CHIL project
* 2009: Face alignment by minimizing the closest classification distance
* 2009: Generic versus Salient Region-Based Partitioning for Local Appearance Face Recognition
* 2009: Open-Set Face Recognition-Based Visitor Interface System
* 2009: Pose Normalization for Local Appearance-Based Face Recognition
* 2009: Why Is Facial Occlusion a Challenging Problem?
* 2010: Automatic Frequency Band Selection for Illumination Robust Face Recognition
* 2010: Multi-pose Face Recognition for Person Retrieval in Camera Networks
* 2010: Multi-resolution Local Appearance-Based Face Verification
* 2010: Multi-view Based Estimation of Human Upper-Body Orientation
* 2010: Robust Open-Set Face Recognition for Small-Scale Convenience Applications
* 2010: video-based door monitoring system using local appearance-based face models, A
* 2011: Boosting Pseudo Census Transform Features for Face Alignment
* 2011: common framework for real-time emotion recognition and facial action unit detection, A
* 2011: Effective discretization of Gabor features for real-time face detection
* 2011: Facial action unit detection using kernel partial least squares
* 2012: Benchmarking Facial Image Analysis Technologies (BeFIT)
* 2012: Efficient and robust integration of face detection and head pose estimation
* 2012: Face Alignment Using a Ranking Model based on Regression Trees
* 2012: Facial expression classification on web images
* 2012: Fusion of Speech, Faces and Text for Person Identification in TV Broadcast
* 2012: Multi-view facial expression recognition using local appearance features
* 2012: ranking model for face alignment with Pseudo Census Transform, A
* 2013: Combining texture and stereo disparity cues for real-time face detection
* 2013: Cross-pose facial expression recognition
* 2014: Automatic analysis of facial attractiveness from video
* 2014: Cleaning up after a face tracker: False positive removal
* 2014: Extending explicit shape regression with mixed feature channels and pose priors
* 2015: Action unit intensity estimation using hierarchical partial least squares
* 2016: Apparent Age Estimation Using Ensemble of Deep Learning Models
* 2016: Comprehensive Analysis of Deep Learning Based Representation for Face Recognition, A
* 2016: Visual Speech Recognition Using PCA Networks and LSTMs in a Tandem GMM-HMM System
* 2017: Combining LiDAR space clustering and convolutional neural networks for pedestrian detection
* 2017: Computer Vision System to Localize and Classify Wastes on the Streets, A
* 2017: Exploiting Convolution Filter Patterns for Transfer Learning
* 2018: Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing
* 2018: Domain adaptation for ear recognition using deep convolutional neural networks
* 2018: Strengths and weaknesses of deep learning models for face recognition against image degradations
* 2018: Vision-based game design and assessment for physical exercise in a robot-assisted rehabilitation system
* 2019: Learn to synthesize and synthesize to learn
* 2019: SROBB: Targeted Perceptual Loss for Single Image Super-Resolution
* 2020: Offline Signature Verification on Real-World Documents
* 2021: Benefiting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution
Includes: Ekenel, H.K.[Hazim Kemal] Ekenel, H.K. Ekenel, H.K.[Hazem Kemal] Ekenel, H.K.[Hazim K.]
53 for Ekenel, H.K.

Ekenna, C.[Chinwe] * 2020: Biologically Inspired Sleep Algorithm for Variational Auto-encoders

Index for "e"


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