Index for denm

Denman, H. Co Author Listing * Content-Based Analysis for Video from Snooker Broadcasts
* Gradient based dominant motion estimation with integral projections for real time video stabilisation
* Measuring noise correlation for improved video denoising
* Multipass encoding for reducing pulsing artifacts in cloud based video transcoding
Includes: Denman, H. Denman, H.[Hugh]

Denman, J. Co Author Listing * Two-Phase Method of Detecting Abnormalities in Aircraft Flight Data and Ranking Their Impact on Individual Flights, A

Denman, S.[Simon] Co Author Listing * 3D ellipsoid fitting for multi-view gait recognition
* 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
* adaptive optical flow technique for person tracking systems, An
* Anomalous Event Detection Using a Semi-Two Dimensional Hidden Markov Model
* Automated Detection of Koalas with Deep Learning Ensembles
* 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
* 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
* Complex Event Detection Using Joint Max Margin and Semantic Features
* Continuous Human Action Recognition for Human-Machine Interaction: A Review
* 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
* 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
* Determining operational measures from multi-camera surveillance systems using soft biometrics
* Discovery of facial motions using deep machine perception
* 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
* Exploration of Feature Detector Performance in the Thermal-Infrared Modality, An
* Feature-domain super-resolution for iris recognition
* Feature-domain super-resolution framework for Gabor-based face and iris recognition
* Fine-grained action segmentation using the semi-supervised action GAN
* Focus-score weighted super-resolution for uncooperative iris recognition at a distance and on the move
* From Affine Rank Minimization Solution to Sparse Modeling
* Fruit Detection in the Wild: the Impact of Varying Conditions and Cultivar
* GD-GAN: Generative Adversarial Networks for Trajectory Prediction and Group Detection in Crowds
* Going Deeper: Autonomous Steering with Neural Memory Networks
* Group Segmentation During Object Tracking Using Optical Flow Discontinuities
* Hierarchical Attention Network for Action Segmentation
* Histogram of Weighted Local Directions for Gait Recognition
* IGSSTRCF: Importance Guided Sparse Spatio-Temporal Regularized Correlation Filters For Tracking
* Improved Simultaneous Computation of Motion Detection and Optical Flow for Object Tracking
* 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 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
* LSTM guided ensemble correlation filter tracking with appearance model pool
* 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-level Sequence GAN for Group Activity Recognition
* Multi-Modal Object Tracking using Dynamic Performance Metrics
* 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
* Neighbourhood Context Embeddings in Deep Inverse Reinforcement Learning for Predicting Pedestrian Motion Over Long Time Horizons
* Pose-driven attention-guided image generation for person re-Identification
* Predicting the Future: A Jointly Learnt Model for Action Anticipation
* 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
* Recognising Team Activities from Noisy Data
* 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
* 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
* 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 Convolutions on Continuous Domains for Point Cloud and Event Stream Networks
* Spatio Temporal Feature Evaluation for Action Recognition
* Split n merge net: A dynamic masking network for multi-task attention
* 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
* 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
Includes: Denman, S.[Simon] Denman, S.
94 for Denman, S.

Denmon, S. Co Author Listing * Compressive Sensing for Gait Recognition

Index for "d"

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