Worrall, A.D.
* 1989: Model Based Perspective Inversion
* 1990: Active contours in medical image processing using a networked SIMD array processor
* 1990: Roll Angle Consistency Constraint
* 1991: Model-based Tracking
* 1993: Advances in Model Based Traffic Vision
* 1994: Pose Refinement of Active Models Using Forces in 3D
* 1994: Simple, Intuitive Camera Calibration Tool for Natural Images, A
* 1995: Generic Deformable Model for Vehicle Recognition, A
* 1995: Interactive CAD-Based Vision System, An
* 1995: Pose and Structure Recovery using Active Models
* 1995: Visual Object Recognition Using Deformable Models of Vehicles
* 1996: Filter for Car Tracking Based on Acceleration and Steering Angle
* 1996: Filter for Visual Tracking Based on a Stochastic Model for Driver Behaviour, A
* 1996: Model-based Vehicle Detection and Classification using Orthographic Approximations
* 1997: Integrated Traffic and Pedestrian Model-Based Vision System, An
* 1997: Model-based Vehicle Detection and Classification using Orthographic Approximations
* 1997: Vehicle Tracking with Applications to Collision Alert
* 1998: Learning Enhanced 3d Models for Vehicle Tracking
* 1998: Statistically-Based Newton Method for Pose Refinement, A
* 1998: Visual Surveillance for Moving Vehicles
* 2000: Visual Surveillance for Moving Vehicles
* 2002: Tracking with the EM Contour Algorithm
* 2006: comparison between feature-based and EM-based contour tracking, A
Includes: Worrall, A.D. Worrall, A.D.[Anthony D.]
23 for Worrall, A.D.
Worrall, D.E.[Daniel E.]
* 2017: Harmonic Networks: Deep Translation and Rotation Equivariance
* 2017: Interpretable Transformations with Encoder-Decoder Networks
* 2018: CubeNet: Equivariance to 3D Rotation and Translation
* 2019: Reversible GANs for Memory-Efficient Image-To-Image Translation
Worrall, G.[George]
* 2021: Domain-Guided Machine Learning for Remotely Sensed In-Season Crop Growth Estimation
Worrall, S.[Stewart]
* 2011: Immersive 3D media networking: Challenges and solutions
* 2013: Probabilistic Long-Term Vehicle Motion Prediction and Tracking in Large Environments
* 2014: Using Delayed Observations for Long-Term Vehicle Tracking in Large Environments
* 2015: Unsupervised Approach for Inferring Driver Behavior From Naturalistic Driving Data, An
* 2016: Flexible System Architecture for Acquisition and Storage of Naturalistic Driving Data, A
* 2020: Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving
* 2020: Naturalistic Driver Intention and Path Prediction Using Recurrent Neural Networks
* 2022: Camera-LIDAR Integration: Probabilistic Sensor Fusion for Semantic Mapping
* 2022: Long-Term Map Maintenance Pipeline for Autonomous Vehicles
Includes: Worrall, S.[Stewart] Worrall, S.
9 for Worrall, S.
Worrall, S.T.
* 2004: Automatic scalable face model design for 2D model-based video coding
* 2008: Bit-Rate Adaptive Downsampling for the Coding of Multi-View Video with Depth Information
* 2008: Multi bearer channel resource allocation for optimised transmission of video objects
* 2008: Novel Frame Concealment Method for Depth Maps Using Corresponding Colour Motion Vectors, A
* 2009: Depth based object prioritisation for 3D video communication over Wireless LAN
* 2009: Efficient edge, motion and depth-range adaptive processing for enhancement of multi-view depth map sequences
* 2009: Temporal Subsampling Approach for Multiview Depth Map Compression, A
* 2009: Utilisation of edge adaptive upsampling in compression of depth map videos for enhanced free-viewpoint rendering
* 2010: 3D video assessment with Just Noticeable Difference in Depth evaluation
* 2010: 3D Video communication scheme for error prone environments based on motion vector sharing
* 2010: scalable multi-view audiovisual entertainment framework with content-aware distribution, A
* 2011: novel depth map quality metric and its usage in depth map coding, A
* 2011: Sensitivity Analysis of the Human Visual System for Depth Cues in Stereoscopic 3-D Displays
* 2012: Adaptive streaming of multi-view video over P2P networks
Includes: Worrall, S.T. Worrall, S.T.[Stewart T.]
14 for Worrall, S.T.
Worrell, G.A.
* 2010: On the Recording Reference Contribution to EEG Correlation, Phase Synchorony, and Coherence
Worring, M
* 2007: Semantic Image and Video Indexing in Broad Domains
Worring, M.
* 1992: accuracy and precision of curvature estimation methods, The
* 1992: Multi-Scale Analysis of Discrete Point Sets
* 1993: Digital Curvature Estimation
* 1994: Discrete circular arcs
* 1994: Measurement of 3D-Line Shaped Objects
* 1995: Digitized Circular Arcs: Characterization and Parameter-Estimation
* 1995: On Multi-Feature Integration for Deformable Boundary Finding
* 1996: Analysis of Complex Motion Patterns Using Region Based Curve Analysis
* 1996: Parameterized Feasible Boundaries in Gradient Vector-Fields
* 1997: From linear to non-linear reading: a case study to provide Internet access to paper documents
* 1999: Content based internet access to paper documents
* 2000: Content-Based Image Retrieval at the End of the Early Years
* 2000: Detection of Moving Objects in Video Using a Robust Motion Similarity Measure
* 2000: Multifeature Object Tracking using a Model-Free Approach
* 2000: Watersnakes: Energy-Driven Watershed Segmentation
* 2001: Fine-grained document genre classification using first order random graphs
* 2001: Interactive Retrieval Of Color Images
* 2001: Occlusion Robust Adaptive Template Tracking
* 2002: Data GroundTruth, Complexity, and Evaluation Measures for Color Document Analysis
* 2002: Document understanding for a broad class of documents
* 2002: Face detection by aggregated Bayesian network classifiers
* 2002: Genre-based search through biomedical images
* 2002: Granulometric analysis of document images
* 2002: Multimodal Person Identification in Movies
* 2002: Multiscale Document Description Using Rectangular Granulometries
* 2002: Regularized patch motion estimation
* 2002: Tracking nonparameterized object contours in video
* 2003: First order Gaussian graphs for efficient structure classification
* 2003: Watersnakes: Energy-Driven Watershed Segmentation
* 2004: Dense Motion Estimation Using Regularization Constraints on Local Parametric Models
* 2004: Multiscale Document Description Using Rectangular Granulometries
* 2004: User Strategies in Video Retrieval: A Case Study
* 2005: Assessing user behaviour in news video retrieval
* 2005: ICDAR 2003 robust reading competitions: Entries, results, and future directions
* 2005: UvA color document dataset, The
* 2006: Learned Lexicon-Driven Interactive Video Retrieval
* 2006: Lexicon-based Browsers for Searching in News Video Archives
* 2006: Mediamill: Advanced Browsing in News Video Archives
* 2006: Semantic Pathfinder: Using an Authoring Metaphor for Generic Multimedia Indexing, The
* 2007: Adding Semantics to Detectors for Video Retrieval
* 2007: Learned Lexicon-Driven Paradigm for Interactive Video Retrieval, A
* 2007: MediaMill: semantic video search using the RotorBrowser
* 2007: Multi-Camera Visual Surveillance System for Tracking of Reoccurrences of People, A
* 2008: Balancing thread based navigation for targeted video search
* 2008: MediaMill: fast and effective video search using the forkbrowser
* 2008: Semantic indexing and retrieval of video
* 2009: MediaMill: guiding the user to results using the ForkBrowser
* 2010: Browsing Video Along Multiple Threads
* 2010: Genre-specific semantic video indexing
* 2010: Unsupervised multi-feature tag relevance learning for social image retrieval
* 2011: Instant Bag-of-Words served on a laptop
* 2011: Learning Visual Contexts for Image Annotation From Flickr Groups
* 2011: semi-interactive panorama based 3D reconstruction framework for indoor scenes, A
* 2011: Social negative bootstrapping for visual categorization
* 2012: Backtracking: Retrospective multi-target tracking
* 2012: Efficient Genre-Specific Semantic Video Indexing
* 2012: Fusing concept detection and geo context for visual search
* 2012: Harvesting Social Images for Bi-Concept Search
* 2012: Learning Semantics From Multimedia Web Resources: An Introduction to the Special Issue
* 2012: Where Is the User in Multimedia Retrieval?
* 2013: Active Bucket Categorization for High Recall Video Retrieval
* 2013: Bootstrapping Visual Categorization With Relevant Negatives
* 2013: Track based relevance feedback for tracing persons in surveillance videos
* 2015: Interactive Multimodal Learning for Venue Recommendation
* 2016: Multimedia Pivot Tables for Multimedia Analytics on Image Collections
* 2016: Ten Research Questions for Scalable Multimedia Analytics
* 2017: Discovering Geographic Regions in the City Using Social Multimedia and Open Data
* 2018: Blackthorn: Large-Scale Interactive Multimodal Learning
* 2018: Category Specific Post Popularity Prediction
* 2019: 4-Connected Shift Residual Networks
* 2019: Deep Metric Learning for Cross-Domain Fashion Instance Retrieval
* 2019: Many Task Learning With Task Routing
* 2020: Detecting CNN-Generated Facial Images in Real-World Scenarios
* 2020: Exquisitor at the Video Browser Showdown 2020
* 2020: Interactive Search and Exploration in Discussion Forums Using Multimodal Embeddings
* 2020: Omnieyes: Analysis and Synthesis of Artistically Painted Eyes
* 2021: Deep Context-Encoding Network for Retinal Image Captioning
* 2021: DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation
* 2021: Exquisitor at the Video Browser Showdown 2021: Relationships Between Semantic Classifiers
* 2021: Search and Explore Strategies for Interactive Analysis of Real-life Image Collections with Unknown and Unique Categories
* 2022: Exquisitor at the Video Browser Showdown 2022
* 2022: Non-local Attention Improves Description Generation for Retinal Images
* 2023: Causalainer: Causal Explainer for Automatic Video Summarization
* 2023: Expert-defined Keywords Improve Interpretability of Retinal Image Captioning
* 2023: GIGO, Garbage In, Garbage Out: An Urban Garbage Classification Dataset
* 2023: MATTE: Multi-task multi-scale attention
* 2023: Probabilistic Integration of Object Level Annotations in Chest X-ray Classification
* 2023: Query-Based Video Summarization with Pseudo Label Supervision
* 2024: PanorAMS: Automatic Annotation for Detecting Objects in Urban Context
Includes: Worring, M. Worring, M.[Marcel]
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