Fook, C.K.
Co Author Listing * Geospatial Analysis of Urban Land Use Pattern Analysis for Hemorrhagic Fever Risk: A Review
Fookes, C.[Clinton]
Co Author Listing * 3D ellipsoid fitting for multi-view gait recognition
* 3D Face Recognition using Log-Gabor Templates
* 3D face verification using a free-parts approach
* Accurate Silhouettes for Surveillance: Improved Motion Segmentation Using Graph Cuts
* Activity Analysis in Complicated Scenes Using DFT Coefficients of Particle Trajectories
* Activity Modelling in Crowded Environments: A Soft-Decision Approach
* Affine Adaptation of Local Image Features Using the Hessian Matrix
* Anomalous Event Detection Using a Semi-Two Dimensional Hidden Markov Model
* Automatic UAV Forced Landing Site Detection Using Machine Learning
* Backfilled GEI: A Cross-Capture Modality Gait Feature for Frontal and Side-View Gait Recognition, The
* Can You Describe Him for Me? A Technique for Semantic Person Search in Video
* cascaded long short-term memory (LSTM) driven generic visual question answering (VQA), A
* Channel Graph Regularized Correlation Filters for Visual Object Tracking
* Class-specific sparse codes for representing activities
* Closed-Form Solutions for Low-Rank Non-Rigid Reconstruction
* Combat sports analytics: Boxing punch classification using overhead depth imagery
* Comparison of Saliency Methods for Deep Learning Explainability, A
* Complex Event Detection Using Joint Max Margin and Semantic Features
* Complex-Valued Iris Recognition Network
* Compressive Sensing for Gait Recognition
* Constrained Design of Deep Iris Networks
* Context from within: Hierarchical context modeling for semantic segmentation
* Continuous Human Action Recognition for Human-Machine Interaction: A Review
* Correlation-aware adversarial domain adaptation and generalization
* Coupled Generative Adversarial Network for Continuous Fine-Grained Action Segmentation
* Crowd Counting Using Group Tracking and Local Features
* Crowd Counting Using Multiple Local Features
* Database for Person Re-Identification in Multi-Camera Surveillance Networks, A
* DBCE: A Saliency Method for Medical Deep Learning Through Anatomically-Consistent Free-Form Deformations
* Deep Auto-Encoders With Sequential Learning for Multimodal Dimensional Emotion Recognition
* Deep Context Modeling for Semantic Segmentation
* Deep Decision Trees for Discriminative Dictionary Learning with Adversarial Multi-agent Trajectories
* Deep discovery of facial motions using a shallow embedding layer
* Deep Four-Stream Siamese Convolutional Neural Network with Joint Verification and Identification Loss for Person Re-Detection, A
* Deep Inverse Reinforcement Learning for Behavior Prediction in Autonomous Driving: Accurate Forecasts of Vehicle Motion
* Deep Match Tracker: Classifying when Dissimilar, Similarity Matching when Not
* Deep spatio-temporal feature fusion with compact bilinear pooling for multimodal emotion recognition
* Deep Spatio-Temporal Features for Multimodal Emotion Recognition
* DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction
* Deeper and wider fully convolutional network coupled with conditional random fields for scene labeling
* Deformable face ensemble alignment with robust grouped-L1 anchors
* Dense Correspondence Extraction in Difficult Uncalibrated Scenarios
* Determining operational measures from multi-camera surveillance systems using soft biometrics
* Discovery of facial motions using deep machine perception
* Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion
* Does Interference Exist When Training a Once-For-All Network?
* Dynamic Performance Measures for Object Tracking Systems
* Efficient and Robust System for Multiperson Event Detection in Real-World Indoor Surveillance Scenes, An
* efficient framework for zero-shot sketch-based image retrieval, An
* Evaluating Automatic Road Detection across a Large Aerial Imagery Collection
* evaluation of crowd counting methods, features and regression models, An
* Evaluation of Different Features and Learning Models for Anomalous Event Detection, An
* Evaluation of image resolution and super-resolution on face recognition performance
* Evaluation of two-view geometry methods with automatic ground-truth generation
* Exploration of Feature Detector Performance in the Thermal-Infrared Modality, An
* Face recognition from 3d data using iterative closest point algorithm and gaussian mixture models
* Facial analysis in the wild with LSTM networks
* Feature-domain super-resolution for iris recognition
* Feature-domain super-resolution framework for Gabor-based face and iris recognition
* Fine-grained action recognition of boxing punches from depth imagery
* Fine-grained action segmentation using the semi-supervised action GAN
* flexible hierarchical approach for facial age estimation based on multiple features, A
* Focus-score weighted super-resolution for uncooperative iris recognition at a distance and on the move
* Frequency Decomposition Techniques for Increased Discriminative 3D Facial Information Capture
* From Affine Rank Minimization Solution to Sparse Modeling
* Fruit Detection in the Wild: the Impact of Varying Conditions and Cultivar
* Gate connected convolutional neural network for object tracking
* GD-GAN: Generative Adversarial Networks for Trajectory Prediction and Group Detection in Crowds
* Global 3D Rigid Registration of Medical Images
* Going Deeper: Autonomous Steering with Neural Memory Networks
* Group Segmentation During Object Tracking Using Optical Flow Discontinuities
* Hessian-Based Affine Adaptation of Salient Local Image Features
* Hierarchical Attention Network for Action Segmentation
* Hierarchical Relational Attention for Video Question Answering
* Histogram of Weighted Local Directions for Gait Recognition
* Human Face Reconstruction Using Bayesian Deformable Models
* Human-level face verification with intra-personal factor analysis and deep face representation
* IGSSTRCF: Importance Guided Sparse Spatio-Temporal Regularized Correlation Filters For Tracking
* Image2Mesh: A Learning Framework for Single Image 3D Reconstruction
* Improved GrabCut Segmentation via GMM Optimisation
* Improved Simultaneous Computation of Motion Detection and Optical Flow for Object Tracking
* Improved stereo image matching using mutual information and hierarchical prior probabilities
* Improving deep convolutional neural networks with unsupervised feature learning
* Joint identification-verification for person re-identification: A four stream deep learning approach with improved quartet loss function
* Large scale monitoring of crowds and building utilisation: A new database and distributed approach
* Learning Free-Form Deformations for 3D Object Reconstruction
* Learning Regional Attention Over Multi-Resolution Deep Convolutional Features for Trademark Retrieval
* Learning Temporal Alignment Uncertainty for Efficient Event Detection
* Learning test-time augmentation for content-based image retrieval
* Local inter-session variability modelling for object classification
* Locating People in Video from Semantic Descriptions: A New Database and Approach
* Long range iris recognition: A survey
* LSTM guided ensemble correlation filter tracking with appearance model pool
* Meta Transfer Learning for Facial Emotion Recognition
* MongeNet: Efficient Sampler for Geometric Deep Learning
* MRF based abnormal event detection approach using motion and appearance features, An
* MTRNet++: One-stage mask-based scene text eraser
* Multi-Class Tracker Using a Scalable Condensation Filter, A
* Multi-Component Image Translation for Deep Domain Generalization
* Multi-level Sequence GAN for Group Activity Recognition
* Multi-Modal Object Tracking using Dynamic Performance Metrics
* Multi-modal semantic image segmentation
* Multi-spectral stereo image matching using mutual information
* Multi-stage stacked temporal convolution neural networks (MS-S-TCNs) for biosignal segmentation and anomaly localization
* Multi-view Intelligent Vehicle Surveillance System
* Multimodal clothing recognition for semantic search in unconstrained surveillance imagery
* Multiple Instance Dictionary Learning for Activity Representation
* Negative Determinant of Hessian Features
* Neighbourhood Context Embeddings in Deep Inverse Reinforcement Learning for Predicting Pedestrian Motion Over Long Time Horizons
* Non-rigid Reconstruction with a Single Moving RGB-D Camera
* Normalisation and Recognition of 3D Face Data Using Robust Hausdorff Metric
* On the Statistical Determination of Optimal Camera Configurations in Large Scale Surveillance Networks
* Optimal Camera Planning Under Versatile User Constraints in Multi-Camera Image Processing Systems
* Pose-driven attention-guided image generation for person re-Identification
* Practical Improvements to Simultaneous Computation of Multi-view Geometry and Radial Lens Distortion
* Predicting the Future: A Jointly Learnt Model for Action Anticipation
* Probabilistic Surfel Fusion for Dense LiDAR Mapping
* Quality Based Frame Selection for Face Clustering in News Video
* Real-time video event detection in crowded scenes using MPEG derived features: A multiple instance learning approach
* Recent Advances in Camera Planning for Large Area Surveillance: A Comprehensive Review
* Reduction of Feature Contamination for Hyper Spectral Image Classification
* Rethinking Planar Homography Estimation Using Perspective Fields
* Robust Automatic Face Clustering in News Video
* robust UAV landing site detection system using mid-level discriminative patches, A
* Role of Motion Models in Super-Resolving Surveillance Video for Face Recognition, The
* Scene Invariant Crowd Counting
* Scene invariant multi camera crowd counting
* Scene Invariant Virtual Gates Using DNNs
* Score-Level Multibiometric Fusion Based on Dempster-Shafer Theory Incorporating Uncertainty Factors
* Searching for people using semantic soft biometric descriptions
* Semantic Consistency and Identity Mapping Multi-Component Generative Adversarial Network for Person Re-Identification
* Semantic Correspondence in the Wild
* Semi-Binary Based Video Features for Activity Representation
* SESS: Saliency Enhancing with Scaling and Sliding
* Single image depth prediction using super-column super-pixel features
* Soft-Biometrics: Unconstrained Authentication in a Surveillance Environment
* Sparse over-complete patch matching
* Spatio Temporal Feature Evaluation for Action Recognition
* Split n merge net: A dynamic masking network for multi-task attention
* Super-resolution for biometrics: A comprehensive survey
* Super-Resolved Faces for Improved Face Recognition from Surveillance Video
* Supervised Latent Dirichlet Allocation Models for Efficient Activity Representation
* Task Specific Visual Saliency Prediction with Memory Augmented Conditional Generative Adversarial Networks
* Textures of optical flow for real-time anomaly detection in crowds
* TMMF: Temporal Multi-Modal Fusion for Single-Stage Continuous Gesture Recognition
* Tracking by Prediction: A Deep Generative Model for Mutli-person Localisation and Tracking
* Two Stream LSTM: A Deep Fusion Framework for Human Action Recognition
* Uncertainty in Real-Time Semantic Segmentation on Embedded Systems
* Unusual Event Detection in Crowded Scenes Using Bag of LBPs in Spatio-Temporal Patches
* Unusual Scene Detection Using Distributed Behaviour Model and Sparse Representation
* Using Synthetic Data to Improve Facial Expression Analysis with 3D Convolutional Networks
* Vertical Axis Detection for Sport Video Analytics
* Visual Voice Activity Detection Using Frontal versus Profile Views
* What Is the Average Human Face?
* Wide baseline correspondence extraction beyond local features
Includes: Fookes, C.[Clinton] Fookes, C.
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