Goecke, R.[Roland]
* 2006: Iterative Error Bound Minimisation for AAM Alignment
* 2006: Wavelet-Based Approach to Image Feature Stability Assessment, A
* 2007: Automatic Parametrisation for an Image Completion Method Based on Markov Random Fields
* 2007: Monocular and Stereo Methods for AAM Learning from Video
* 2007: Nonlinear Discriminative Approach to AAM Fitting, A
* 2008: Image Reconstruction from Contrast Information
* 2008: Optical flow estimation using Fourier Mellin Transform
* 2009: Automatic frontal face annotation and AAM building for arbitrary expressions from a single frontal image only
* 2009: Biologically Inspired Contrast Enhancement Using Asymmetric Gain Control
* 2009: Learning AAM fitting through simulation
* 2009: Learning based automatic face annotation for arbitrary poses and expressions from frontal images only
* 2009: Learning-based Face Synthesis for Pose-robust Recognition from Single Image
* 2009: Quadratic Deformation Model for Facial Expression Recognition, A
* 2010: Illumination and Expression Invariant Recognition Using SSIM Based Sparse Representation
* 2010: Linear Facial Expression Transfer with Active Appearance Models
* 2011: Emotion recognition using PHOG and LPQ features
* 2011: Pose Normalization via Learned 2D Warping for Fully Automatic Face Recognition
* 2011: Regression based automatic face annotation for deformable model building
* 2011: SSIM-based approach for finding similar facial expressions, A
* 2011: Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark
* 2012: Collecting Large, Richly Annotated Facial-Expression Databases from Movies
* 2012: Correcting pose estimation with implicit occlusion detection and rectification
* 2012: Finding Happiest Moments in a Social Context
* 2012: Group expression intensity estimation in videos via Gaussian Processes
* 2012: Neural-net classification for spatio-temporal descriptor based depression analysis
* 2013: Can body expressions contribute to automatic depression analysis?
* 2013: Eye movement analysis for depression detection
* 2013: Monocular Image 3D Human Pose Estimation under Self-Occlusion
* 2013: On the Effect of Human Body Parts in Large Scale Human Behaviour Recognition
* 2013: Ordered Trajectories for Large Scale Human Action Recognition
* 2013: Robust Visual Vocabulary Tracking Using Hierarchical Model Fusion
* 2013: Self-Stimulatory Behaviours in the Wild for Autism Diagnosis
* 2013: Visual Object Tracking VOT2013 Challenge Results, The
* 2014: Automatic Prediction of Perceived Traits Using Visual Cues under Varied Situational Context
* 2014: Dense body part trajectories for human action recognition
* 2014: Detecting self-stimulatory behaviours for autism diagnosis
* 2014: Detecting self-stimulatory behaviours for autism diagnosis
* 2014: Discriminative Multi-Task Sparse Learning for Robust Visual Tracking Using Conditional Random Field
* 2014: discriminative parts based model approach for fiducial points free and shape constrained head pose normalisation in the wild, A
* 2014: discriminative parts based model approach for fiducial points free and shape constrained head pose normalisation in the wild, A
* 2014: Enhanced Laplacian Group Sparse Learning with Lifespan Outlier Rejection for Visual Tracking
* 2014: Influence of Temporal Information on Human Action Recognition with Large Number of Classes, The
* 2014: Joint sparsity-based robust visual tracking
* 2014: Robust Visual Tracking via Rank-Constrained Sparse Learning
* 2014: Thermal spatio-temporal data for stress recognition
* 2015: Automatic Group Happiness Intensity Analysis
* 2015: Cross-cultural detection of depression from nonverbal behaviour
* 2015: Injury Mechanism Classification in Soccer Videos
* 2015: more the merrier: Analysing the affect of a group of people in images, The
* 2015: Multi-level action detection via learning latent structure
* 2015: Ordered trajectories for human action recognition with large number of classes
* 2015: Play with me: Measuring a child's engagement in a social interaction
* 2015: Riesz-based Volume Local Binary Pattern and A Novel Group Expression Model for Group Happiness Intensity Analysis
* 2016: Efficient multi-target tracking via discovering dense subgraphs
* 2016: Extending Long Short-Term Memory for Multi-View Structured Learning
* 2017: Human Postural Sway Estimation from Noisy Observations
* 2017: Joint Registration and Representation Learning for Unconstrained Face Identification
* 2017: Video-Based Facial Behaviour Analysis Approach to Melancholia, A
* 2018: MSMCT: Multi-State Multi-Camera Tracker
* 2018: Multimodal Depression Detection: Fusion Analysis of Paralinguistic, Head Pose and Eye Gaze Behaviors
* 2018: Multimodal Framework for Analyzing the Affect of a Group of People
* 2019: Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks
* 2020: Cnn Depression Severity Level Estimation from Upper Body vs. Face-only Images
* 2020: Feature Map Augmentation to Improve Rotation Invariance in Convolutional Neural Networks
* 2021: Deeply Supervised Discriminative Learning for Adversarial Defense
* 2021: Micro-Expression Recognition Based on Video Motion Magnification and Pre-Trained Neural Network
* 2022: Analyzing Group-Level Emotion with Global Alignment Kernel based Approach
* 2023: Examining Subject-Dependent and Subject-Independent Human Affect Inference from Limited Video Data
* 2023: Interpretation of Depression Detection Models via Feature Selection Methods
Includes: Goecke, R.[Roland] Goecke, R.
69 for Goecke, R.
Goecke, T.W.
* 2008: Quantification of Thyroid Volume Using 3-D Ultrasound Imaging