Cohn Sfetou, S.[Sorin]
* 1976: Topics on Generalized Convolution and Fourier Transforms: Theory and Applications in Digital Signal Processing and System Theory
Includes: Cohn Sfetou, S.[Sorin] Cohn-Sfetou, S.[Sorin]
Cohn, A.
* 2007: Knowledge-Based Recognition of Utility Map Sub-Diagrams
* 2014: Real-time Activity Recognition by Discerning Qualitative Relationships Between Randomly Chosen Visual Features
Includes: Cohn, A. Cohn, A.[Anthony]
Cohn, A.G.
* 1995: Challenge of Qualitative Spatial Reasoning, The
* 1995: Logical Approach to Representing and Reasoning about Space, A
* 1996: Generation of Semantic Regions from Image Sequences
* 1997: Qualitative Spatial Representation and Reasoning with the Region Connection Calculus
* 1998: Building Qualitative Event Models Automatically from Visual Input
* 2000: Constructing qualitative event models automatically from video input
* 2003: Cognitive Vision: Integrating Symbolic Qualitative Representations with Computer Vision
* 2007: Image Retrieval through Qualitative Representations over Semantic Features
* 2008: Enhanced tracking and recognition of moving objects by reasoning about spatio-temporal continuity
* 2008: Motion segmentation by consensus
* 2011: Temporal Structure Models for Event Recognition
* 2012: Building semantic scene models from unconstrained video
* 2012: Egocentric Activity Monitoring and Recovery
* 2012: Workflow Activity Monitoring Using Dynamics of Pair-Wise Qualitative Spatial Relations
* 2014: Context Aware Detection and Tracking
* 2014: Qualitative and Quantitative Spatio-temporal Relations in Daily Living Activity Recognition
* 2015: Airborne LiDAR for the Detection of Archaeological Vegetation Marks Using Biomass as a Proxy
* 2015: Joint Tracking and Event Analysis for Carried Object Detection
* 2017: Real-Time Hyperbola Recognition and Fitting in GPR Data
* 2018: Learning Hierarchical Models of Complex Daily Activities from Annotated Videos
* 2019: Unsupervised human activity analysis for intelligent mobile robots
* 2020: Pavement Crack Detection from Hyperspectral Images Using A Novel Asphalt Crack Index
* 2021: GPRInvNet: Deep Learning-Based Ground-Penetrating Radar Data Inversion for Tunnel Linings
* 2021: Scribble-Supervised Semantic Segmentation by Uncertainty Reduction on Neural Representation and Self-Supervision on Neural Eigenspace
* 2024: Extension of RCC*-9 to Complex and Three-Dimensional Features and Its Reasoning System
Includes: Cohn, A.G. Cohn, A.G.[Anthony G.]
25 for Cohn, A.G.
Cohn, D.
* 1994: Theory and practice of vector quantizers trained on small training sets
Cohn, D.L.[David L.]
* 1992: Parallel Hypothesis Verification
* 1993: Parallel Hypothesis Verification
Cohn, J.[John]
* 2021: Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition
* 2021: Goals, Tasks, and Bonds: Toward the Computational Assessment of Therapist Versus Client Perception of Working Alliance
* 2024: CryoRL: Reinforcement Learning Enables Efficient Cryo-EM Data Collection
Includes: Cohn, J.[John] Cohn, J.[Jeffrey]
Cohn, J.F.[Jeffrey F.]
* 1998: Automated Facial Expression Recognition Based on FACS Action Units
* 1998: Bimodal Expression of Emotion by Face and Voice
* 1998: Feature-Point Tracking by Optical Flow Discriminates Subtle Differences in Facial Expression
* 1998: Optical Flow Estimation Using Wavelet Motion Model
* 1998: Subtly Different Facial Expression Recognition and Expression Intensity Estimation
* 1999: Automated Face Analysis by Feature Point Tracking Has High Concurrent Validity with Manual FACS Coding
* 1999: Multi-State Based Facial Feature Tracking and Detection
* 1999: Recognizing Action Units for Facial Expression Analysis
* 2000: Comprehensive Database for Facial Expression Analysis
* 2000: Detection, Tracking, and Classification of Action Units in Facial Expression
* 2000: Dual-state Parametric Eye Tracking
* 2000: Image Registration Using Wavelet-Based Motion Model
* 2000: Recognizing Lower Face Action Units in Facial Expression
* 2000: Recognizing Upper Face Action Units for Facial Expression Analysis
* 2001: Comparative Study of Alternative FACS Coding Algorithms, A
* 2001: Facial Asymmetry: A New Biometric
* 2001: Quo Vidas Face Recognition?
* 2001: Recognizing Action Units for Facial Expression Analysis
* 2001: Recognizing Facial Actions by Combining Geometric Features and Regional Appearance Patterns
* 2002: Automatic recognition of eye blinking in spontaneously occurring behavior
* 2002: Evaluation of gabor-wavelet-based facial action unit recognition in image sequences of increasing complexity
* 2002: Facial asymmetry quantification for expression invariant human identification
* 2002: Robust full-motion recovery of head by dynamic templates and re-registration techniques
* 2003: Facial asymmetry quantification for expression invariant human identification
* 2003: Robust full-motion recovery of head by dynamic templates and re-registration techniques
* 2004: Fitting a Single Active Appearance Model Simultaneously to Multiple Images
* 2004: Learning 3D appearance models from video
* 2004: Multimodal coordination of facial action, head rotation, and eye motion during spontaneous smiles
* 2005: Multi-View AAM Fitting and Camera Calibration
* 2006: AAM Derived Face Representations for Robust Facial Action Recognition
* 2006: Meticulously Detailed Eye Region Model and Its Application to Analysis of Facial Images
* 2006: Observer-based measurement of facial expression with the Facial Action Coding System
* 2006: Use of automated facial image analysis for measurement of emotion expression
* 2007: Filtered Component Analysis to Increase Robustness to Local Minima in Appearance Models
* 2007: Non-Rigid Object Alignment with a Mismatch Template Based on Exhaustive Local Search
* 2007: Robust Biometric Person Identification Using Automatic Classifier Fusion of Speech, Mouth, and Face Experts
* 2007: Temporal Segmentation of Facial Behavior
* 2008: Deformable Face Fitting with Soft Correspondence Constraints
* 2008: Enforcing convexity for improved alignment with constrained local models
* 2008: Least squares congealing for unsupervised alignment of images
* 2008: Multi-PIE
* 2008: Multi-View AAM Fitting and Construction
* 2009: Automatically detecting action units from faces of pain: Comparing shape and appearance features
* 2009: Deformable model fitting with a mixture of local experts
* 2009: Efficient constrained local model fitting for non-rigid face alignment
* 2009: Face alignment through subspace constrained mean-shifts
* 2009: framework for automated measurement of the intensity of non-posed Facial Action Units, A
* 2009: Least-squares congealing for large numbers of images
* 2009: painful face: Pain expression recognition using active appearance models, The
* 2009: Probabilistic constrained adaptive local displacement experts
* 2009: Subspace Constrained Mean-Shift
* 2009: Use of Active Appearance Models for analysis and synthesis of naturally occurring behavior
* 2009: Visual and multimodal analysis of human spontaneous behaviour: Introduction to the Special Issue
* 2010: Action unit detection with segment-based SVMs
* 2010: Best of Automatic Face and Gesture Recognition 2008
* 2010: Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression, The
* 2010: Multi-PIE
* 2010: Non-rigid face tracking with enforced convexity and local appearance consistency constraint
* 2010: Registration Invariant Representations for Expression Detection
* 2010: Unsupervised discovery of facial events
* 2011: Automatically Detecting Pain in Video Through Facial Action Units
* 2011: Criteria and metrics for thresholded AU detection
* 2011: Deformable Model Fitting by Regularized Landmark Mean-Shift
* 2011: Dynamic Cascades with Bidirectional Bootstrapping for Action Unit Detection in Spontaneous Facial Behavior
* 2011: Facial action unit recognition with sparse representation
* 2011: Painful data: The UNBC-McMaster shoulder pain expression archive database
* 2011: Person-independent facial expression detection using Constrained Local Models
* 2011: Prediction-based classification for audiovisual discrimination between laughter and speech
* 2011: Real-time avatar animation from a single image
* 2011: Real-time avatar animation from a single image
* 2012: Improved facial expression recognition via uni-hyperplane classification
* 2012: In the Pursuit of Effective Affective Computing: The Relationship Between Features and Registration
* 2012: Painful monitoring: Automatic pain monitoring using the UNBC-McMaster shoulder pain expression archive database
* 2013: Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected In-the-Wild
* 2013: comparison of alternative classifiers for detecting occurrence and intensity in spontaneous facial expression of infants with their mothers, A
* 2013: Continuous AU intensity estimation using localized, sparse facial feature space
* 2013: Detecting Depression Severity from Vocal Prosody
* 2013: DISFA: A Spontaneous Facial Action Intensity Database
* 2013: Emotional Expression Classification Using Time-Series Kernels
* 2013: Eye movement analysis for depression detection
* 2013: Facial Action Unit Event Detection by Cascade of Tasks
* 2013: high-resolution spontaneous 3D dynamic facial expression database, A
* 2013: Selective Transfer Machine for Personalized Facial Action Unit Detection
* 2013: Social risk and depression: Evidence from manual and automatic facial expression analysis
* 2013: temporal connection between smiles and blinks, The
* 2013: Temporal coordination of head motion in couples with history of interpersonal violence
* 2014: BP4D-Spontaneous: a high-resolution spontaneous 3D dynamic facial expression database
* 2014: Interpersonal Coordination of Head Motion in Distressed Couples
* 2014: Jointly detecting infants' multiple facial action units expressed during spontaneous face-to-face communication
* 2014: lp-norm MTMKL framework for simultaneous detection of multiple facial action units, A
* 2014: Nonverbal social withdrawal in depression: Evidence from manual and automatic analyses
* 2014: Spatio-temporal Event Classification Using Time-Series Kernel Based Structured Sparsity
* 2015: Confidence Preserving Machine for Facial Action Unit Detection
* 2015: Cross-cultural detection of depression from nonverbal behaviour
* 2015: Dense 3D face alignment from 2D videos in real-time
* 2015: Estimating smile intensity: A better way
* 2015: Head Movement Dynamics during Play and Perturbed Mother-Infant Interaction
* 2015: How much training data for facial action unit detection?
* 2015: IntraFace
* 2015: Joint patch and multi-label learning for facial action unit detection
* 2015: Predicting Ad Liking and Purchase Intent: Large-Scale Analysis of Facial Responses to Ads
* 2015: Real-time dense 3D face alignment from 2D video with automatic facial action unit coding
* 2015: Three dimensional binary edge feature representation for pain expression analysis
* 2015: Unsupervised Synchrony Discovery in Human Interaction
* 2016: Cascade of Tasks for facial expression analysis
* 2016: Confidence Preserving Machine for Facial Action Unit Detection
* 2016: Continuous Supervised Descent Method for Facial Landmark Localisation
* 2016: Deep Learning for Facial Action Unit Detection Under Large Head Poses
* 2016: Editorial of special issue on spontaneous facial behaviour analysis
* 2016: First 3D Face Alignment in the Wild (3DFAW) Challenge, The
* 2016: Framework for Joint Estimation and Guided Annotation of Facial Action Unit Intensity, A
* 2016: Joint Patch and Multi-label Learning for Facial Action Unit and Holistic Expression Recognition
* 2016: Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis
* 2016: Person-Independent 3D Gaze Estimation Using Face Frontalization
* 2016: Self-Adaptive Matrix Completion for Heart Rate Estimation from Face Videos under Realistic Conditions
* 2016: Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-Related Applications
* 2017: Behavioral cues help predict impact of advertising on future sales
* 2017: Branch-and-Bound Framework for Unsupervised Common Event Discovery, A
* 2017: Dense 3D face alignment from 2D video for real-time use
* 2017: FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge
* 2017: Learning Spatial and Temporal Cues for Multi-Label Facial Action Unit Detection
* 2017: Sayette Group Formation Task (GFT) Spontaneous Facial Expression Database
* 2017: Selective Transfer Machine for Personalized Facial Expression Analysis
* 2018: FACSCaps: Pose-Independent Facial Action Coding with Capsules
* 2018: Guest Editorial: The Computational Face
* 2018: Viewpoint-Consistent 3D Face Alignment
* 2019: 2nd 3D Face Alignment in the Wild Challenge (3DFAW-Video): Dense Reconstruction From Video, The
* 2019: Automatic Measurement of Visual Attention to Video Content using Deep Learning
* 2019: Editorial of Special Issue on Human Behaviour Analysis In-the-Wild
* 2019: Learning facial action units with spatiotemporal cues and multi-label sampling
* 2021: Facial Action Units and Head Dynamics in Longitudinal Interviews Reveal OCD and Depression severity and DBS Energy
* 2021: Synthetic Expressions are Better Than Real for Learning to Detect Facial Actions
* 2023: Interpretation of Depression Detection Models via Feature Selection Methods
* 2023: Multimodal Feature Selection for Detecting Mothers' Depression in Dyadic Interactions with their Adolescent Offspring
Includes: Cohn, J.F.[Jeffrey F.] Cohn, J.F. Cohn, J.F.[Jeffery F.]
134 for Cohn, J.F.
Cohn, N.[Nicholas]
* 2021: Quantifying Optically Derived Two-Dimensional Wave-Averaged Currents in the Surf Zone
Cohn, P.
* 1988: Unsupervised Bayesian Estimation for Segmenting Textured Images
Cohn, T.E.
* 2004: Pseudoreal-time activity detection for railroad grade-crossing safety