David C. Hogg

153 papers A* 15A 33B 10C 6Misc 1Journal 49Unranked 34
YearRankTypeTitle / Venue / Authors
2026 J jnl
EmbedTalk: Triplane-Free Talking Head Synthesis using Embedding-Driven Gaussian Deformation.
CoRR
Arpita Saggar, Jonathan C. Darling, Duygu Sarikaya, David C. Hogg
2026 — ed.
Medical Image Understanding and Analysis - 29th Annual Conference, MIUA 2025, Leeds, UK, July 15-17, 2025, Proceedings, Part I
MIUA (1)
Sharib Ali, David C. Hogg, Michelle Peckham
2026 — ed.
Medical Image Understanding and Analysis - 29th Annual Conference, MIUA 2025, Leeds, UK, July 15-17, 2025, Proceedings, Part II
MIUA (2)
Sharib Ali, David C. Hogg, Michelle Peckham
2026 — ed.
Medical Image Understanding and Analysis - 29th Annual Conference, MIUA 2025, Leeds, UK, July 15-17, 2025, Proceedings, Part III
MIUA (3)
Sharib Ali, David C. Hogg, Michelle Peckham
2025 A conf
Score Before You Speak: Improving Persona Consistency in Dialogue Generation Using Response Quality Scores.
ECAI
Arpita Saggar, Jonathan C. Darling, Vania Dimitrova, Duygu Sarikaya, David C. Hogg
2025 J jnl
Score Before You Speak: Improving Persona Consistency in Dialogue Generation using Response Quality Scores.
CoRR
Arpita Saggar, Jonathan C. Darling, Vania Dimitrova, Duygu Sarikaya, David C. Hogg
2024 A* conf
Advancing Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark.
AAAI
Fangjun Li, David C. Hogg, Anthony G. Cohn
2024 J jnl
Advancing Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark.
CoRR
Fangjun Li, David C. Hogg, Anthony G. Cohn
2024 A* conf
Reframing Spatial Reasoning Evaluation in Language Models: A Real-World Simulation Benchmark for Qualitative Reasoning.
IJCAI
Fangjun Li, David C. Hogg, Anthony G. Cohn
2024 J jnl
Reframing Spatial Reasoning Evaluation in Language Models: A Real-World Simulation Benchmark for Qualitative Reasoning.
CoRR
Fangjun Li, David C. Hogg, Anthony G. Cohn
2024 J jnl
Understanding the vulnerability of skeleton-based Human Activity Recognition via black-box attack.
Pattern Recognit.
Yunfeng Diao, He Wang, Tianjia Shao, Yongliang Yang, Kun Zhou, David C. Hogg, Meng Wang
2023 A* conf
3D Shape Reconstruction of Semi-Transparent Worms.
CVPR
Thomas P. Ilett, Omer Yuval, Thomas Ranner, Netta Cohen, David C. Hogg
2023 J jnl
3D shape reconstruction of semi-transparent worms.
CoRR
Thomas P. Ilett, Omer Yuval, Thomas Ranner, Netta Cohen, David C. Hogg
2023 — conf
A Horse with no Labels: Self-Supervised Horse Pose Estimation from Unlabelled Images and Synthetic Prior.
ICCV (Workshops)
Jose Sosa, David C. Hogg
2023 J jnl
A Horse with no Labels: Self-Supervised Horse Pose Estimation from Unlabelled Images and Synthetic Prior.
CoRR
Jose Sosa, David C. Hogg
2023 — conf
Bayesian Uncertainty-Weighted Loss for Improved Generalisability on Polyp Segmentation Task.
CLIP/FAIMI/EPIMI@MICCAI
Rebecca S. Stone, Pedro Esteban Chavarrias-Solano, Andrew J. Bulpitt, David C. Hogg, Sharib Ali
2023 J jnl
Bayesian uncertainty-weighted loss for improved generalisability on polyp segmentation task.
CoRR
Rebecca S. Stone, Pedro Esteban Chavarrias-Solano, Andrew J. Bulpitt, David C. Hogg, Sharib Ali
2023 C conf
Of Mice and Pose: 2D Mouse Pose Estimation from Unlabelled Data and Synthetic Prior.
ICVS
Jose Sosa, Sharn Perry, Jane E. Alty, David C. Hogg
2023 J jnl
Of Mice and Pose: 2D Mouse Pose Estimation from Unlabelled Data and Synthetic Prior.
CoRR
Jose Sosa, Sharn Perry, Jane E. Alty, David C. Hogg
2023 — conf
Self-supervised 3D Human Pose Estimation from a Single Image.
CVPR Workshops
Jose Sosa, David C. Hogg
2022 — conf
Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation.
CVPR Workshops
Rebecca S. Stone, Nishant Ravikumar, Andrew J. Bulpitt, David C. Hogg
2022 J jnl
Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation.
CoRR
Rebecca S. Stone, Nishant Ravikumar, Andrew J. Bulpitt, David C. Hogg
2022 J jnl
Exploring the GLIDE model for Human Action-effect Prediction.
CoRR
Fangjun Li, David C. Hogg, Anthony G. Cohn
2022 J jnl
Online perceptual learning and natural language acquisition for autonomous robots.
Artif. Intell.
Muhannad Al-Omari, Fangjun Li, David C. Hogg, Anthony G. Cohn
2022 A* conf
Talking Head from Speech Audio using a Pre-trained Image Generator.
ACM Multimedia
Mohammed M. Alghamdi, He Wang, Andrew J. Bulpitt, David C. Hogg
2022 J jnl
Talking Head from Speech Audio using a Pre-trained Image Generator.
CoRR
Mohammed M. Alghamdi, He Wang, Andrew J. Bulpitt, David C. Hogg
2021 J jnl
O
Frontiers Robotics AI
Leo Pauly, Wisdom C. Agboh, David C. Hogg, Raul Fuentes
2021 — conf
Process Mining to Explore Variations in Endometrial Cancer Pathways from GP Referral to First Treatment.
MIE
Angelina Prima Kurniati, Eric Rojas, Kieran Zucker, Geoff Hall, David C. Hogg, Owen A. Johnson
2020 — conf
Process Mining on the Extended Event Log to Analyse the System Usage During Healthcare Processes (Case Study: The GP Tab Usage During Chemotherapy Treatments).
ICPM Workshops
Angelina Prima Kurniati, Geoff Hall, David C. Hogg, Owen A. Johnson
2019 — conf
A Multi-level Approach for Identifying Process Change in Cancer Pathways.
Business Process Management Workshops
Angelina Prima Kurniati, Ciarán McInerney, Kieran Zucker, Geoff Hall, David C. Hogg, Owen A. Johnson
2019 J jnl
A lattice-based approach for navigating design configuration spaces.
Adv. Eng. Informatics
Alison McKay, Hau Hing Chau, Christopher F. Earl, Amar Kumar Behera, Alan de Pennington, David C. Hogg
2019 J jnl
The assessment of data quality issues for process mining in healthcare using Medical Information Mart for Intensive Care III, a freely available e-health record database.
Health Informatics J.
Angelina Prima Kurniati, Eric Rojas, David C. Hogg, Geoff Hall, Owen A. Johnson
2019 J jnl
Unsupervised human activity analysis for intelligent mobile robots.
Artif. Intell.
Paul Duckworth, David C. Hogg, Anthony G. Cohn
2018 A conf
Learning Hierarchical Models of Complex Daily Activities from Annotated Videos.
WACV
Jawad Tayyub, Majd Hawasly, David C. Hogg, Anthony G. Cohn
2018 J jnl
One-Shot Observation Learning.
CoRR
Leo Pauly, Wisdom C. Agboh, Mohamed Abdellatif, David C. Hogg, Raul Fuentes
2017 A conf
Anomaly Detection using a Convolutional Winner-Take-All Autoencoder.
BMVC
Hanh Tran, David C. Hogg
2017 J jnl
CLAD: A Complex and Long Activities Dataset with Rich Crowdsourced Annotations.
CoRR
Jawad Tayyub, Majd Hawasly, David C. Hogg, Anthony G. Cohn
2017 A* conf
Grounding of Human Environments and Activities for Autonomous Robots.
IJCAI
Muhannad Al-Omari, Paul Duckworth, Nils Bore, Majd Hawasly, David C. Hogg, Anthony G. Cohn
2017 A* conf
Latent Dirichlet Allocation for Unsupervised Activity Analysis on an Autonomous Mobile Robot.
AAAI
Paul Duckworth, Muhannad Al-Omari, James Charles, David C. Hogg, Anthony G. Cohn
2017 — conf
Learning of Object Properties, Spatial Relations, and Actions for Embodied Agents from Language and Vision.
AAAI Spring Symposia
Muhannad Al-Omari, Paul Duckworth, David C. Hogg, Anthony G. Cohn
2017 A* conf
Natural Language Acquisition and Grounding for Embodied Robotic Systems.
AAAI
Muhannad Al-Omari, Paul Duckworth, David C. Hogg, Anthony G. Cohn
2017 — conf
Natural Language Grounding and Grammar Induction for Robotic Manipulation Commands.
RoboNLP@ACL
Muhannad Al-Omari, Paul Duckworth, Majd Hawasly, David C. Hogg, Anthony G. Cohn
2017 J jnl
The STRANDS Project: Long-Term Autonomy in Everyday Environments.
IEEE Robotics Autom. Mag.
Nick Hawes, Christopher Burbridge, Ferdian Jovan, Lars Kunze, Bruno Lacerda, Lenka Mudrová, Jay Young, Jeremy L. Wyatt, Denise Hebesberger, Tobias Körtner, Rares Ambrus, Nils Bore, John Folkesson, Patric Jensfelt, Lucas Beyer, Alexander Hermans, Bastian Leibe, Aitor Aldoma, Thomas Faulhammer, Michael Zillich, Markus Vincze, Eris Chinellato, Muhannad Al-Omari, Paul Duckworth, Yiannis Gatsoulis, David C. Hogg, Anthony G. Cohn, Christian Dondrup, Jaime Pulido Fentanes, Tomás Krajník, João Machado Santos, Tom Duckett, Marc Hanheide
2016 J jnl
Adapting pedestrian detectors to new domains: A comprehensive review.
Eng. Appl. Artif. Intell.
Kyaw Kyaw Htike, David C. Hogg
2016 B conf
Feature Space Analysis for Human Activity Recognition in Smart Environments.
Intelligent Environments
Eris Chinellato, David C. Hogg, Anthony G. Cohn
2016 A* conf
Personalizing Human Video Pose Estimation.
CVPR
James Charles, Tomas Pfister, Derek R. Magee, David C. Hogg, Andrew Zisserman
2016 J jnl
The STRANDS Project: Long-Term Autonomy in Everyday Environments.
CoRR
Nick Hawes, Chris Burbridge, Ferdian Jovan, Lars Kunze, Bruno Lacerda, Lenka Mudrová, Jay Young, Jeremy L. Wyatt, Denise Hebesberger, Tobias Körtner, Rares Ambrus, Nils Bore, John Folkesson, Patric Jensfelt, Lucas Beyer, Alexander Hermans, Bastian Leibe, Aitor Aldoma, Thomas Faulhammer, Michael Zillich, Markus Vincze, Muhannad Al-Omari, Eris Chinellato, Paul Duckworth, Yiannis Gatsoulis, David C. Hogg, Anthony G. Cohn, Christian Dondrup, Jaime Pulido Fentanes, Tomás Krajník, João Machado Santos, Tom Duckett, Marc Hanheide
2016 A conf
Unsupervised Activity Recognition Using Latent Semantic Analysis on a Mobile Robot.
ECAI
Paul Duckworth, Muhannad Al-Omari, Yiannis Gatsoulis, David C. Hogg, Anthony G. Cohn
2016 A* conf
Unsupervised Grounding of Textual Descriptions of Object Features and Actions in Video.
KR
Muhannad Al-Omari, Eris Chinellato, Yiannis Gatsoulis, David C. Hogg, Anthony G. Cohn
2016 A conf
Unsupervised Learning of Qualitative Motion Behaviours by a Mobile Robot.
AAMAS
Paul Duckworth, Yiannis Gatsoulis, Ferdian Jovan, Nick Hawes, David C. Hogg, Anthony G. Cohn
2016 — conf
Virtual Immortality: Reanimating Characters from TV Shows.
ECCV Workshops (3)
James Charles, Derek R. Magee, David C. Hogg
2016 J jnl
Weakly supervised activity analysis with spatio-temporal localisation.
Neurocomputing
Feng Gu, Muralikrishna Sridhar, Anthony G. Cohn, David C. Hogg, Francisco Flórez-Revuelta, Dorothy Monekosso, Paolo Remagnino
2015 A conf
Joint Tracking and Event Analysis for Carried Object Detection.
BMVC
Aryana Tavanai, Muralikrishna Sridhar, Eris Chinellato, Anthony G. Cohn, David C. Hogg
2015 J jnl
Learning Relational Event Models from Video.
J. Artif. Intell. Res.
Krishna Sandeep Reddy Dubba, Anthony G. Cohn, David C. Hogg, Mehul Bhatt, Frank Dylla
2015 J jnl
Personalizing Human Video Pose Estimation.
CoRR
James Charles, Tomas Pfister, Derek R. Magee, David C. Hogg, Andrew Zisserman
2014 B conf
Context Aware Detection and Tracking.
ICPR
Aryana Tavanai, Muralikrishna Sridhar, Feng Gu, Anthony G. Cohn, David C. Hogg
2014 B conf
Efficient Non-iterative Domain Adaptation of Pedestrian Detectors to Video Scenes.
ICPR
Kyaw Kyaw Htike, David C. Hogg
2014 — conf
Egocentric Activity Recognition using Histograms of Oriented Pairwise Relations.
VISAPP (2)
Ardhendu Behera, Matthew Chapman, Anthony G. Cohn, David C. Hogg
2014 — conf
Qualitative and Quantitative Spatio-temporal Relations in Daily Living Activity Recognition.
ACCV (5)
Jawad Tayyub, Aryana Tavanai, Yiannis Gatsoulis, Anthony G. Cohn, David C. Hogg
2014 A conf
Real-time Activity Recognition by Discerning Qualitative Relationships Between Randomly Chosen Visual Features.
BMVC
Ardhendu Behera, Anthony G. Cohn, David C. Hogg
2014 Misc conf
Unsupervised Detector Adaptation by Joint Dataset Feature Learning.
ICCVG
Kyaw Kyaw Htike, David C. Hogg
2014 A conf
Upper Body Pose Estimation with Temporal Sequential Forests.
BMVC
James Charles, Tomas Pfister, Derek R. Magee, David C. Hogg, Andrew Zisserman
2014 B conf
Weakly supervised pedestrian detector training by unsupervised prior learning and cue fusion in videos.
ICIP
Kyaw Kyaw Htike, David C. Hogg
2013 — conf
Automated Ground-Plane Estimation for Trajectory Rectification.
CAIP (2)
Ian Hales, David C. Hogg, Kia Ng, Roger Boyle
2013 C conf
Carried Object Detection and Tracking Using Geometric Shape Models and Spatio-temporal Consistency.
ICVS
Aryana Tavanai, Muralikrishna Sridhar, Feng Gu, Anthony G. Cohn, David C. Hogg
2013 A conf
Domain Adaptation for Upper Body Pose Tracking in Signed TV Broadcasts.
BMVC
James Charles, Tomas Pfister, Derek R. Magee, David C. Hogg, Andrew Zisserman
2013 J jnl
Robust abandoned object detection integrating wide area visual surveillance and social context.
Pattern Recognit. Lett.
James M. Ferryman, David C. Hogg, Jan Sochman, Ardhendu Behera, José A. Rodríguez-Serrano, Simon F. Worgan, Longzhen Li, Valerie Leung, Murray Evans, Philippe Cornic, Stéphane Herbin, Stefan Schlenger, Michael Dose
2012 J jnl
Building semantic scene models from unconstrained video.
Comput. Vis. Image Underst.
Hannah M. Dee, Anthony G. Cohn, David C. Hogg
2012 J jnl
Detecting Carried Objects from Sequences of Walking Pedestrians.
IEEE Trans. Pattern Anal. Mach. Intell.
Dima Damen, David C. Hogg
2012 — conf
Egocentric Activity Monitoring and Recovery.
ACCV (3)
Ardhendu Behera, David C. Hogg, Anthony G. Cohn
2012 J jnl
Explaining Activities as Consistent Groups of Events - A Bayesian Framework Using Attribute Multiset Grammars.
Int. J. Comput. Vis.
Dima Damen, David C. Hogg
2012 J jnl
In Memoriam: Mark Everingham.
IEEE Trans. Pattern Anal. Mach. Intell.
Andrew Zisserman, John M. Winn, Andrew W. Fitzgibbon, Luc Van Gool, Josef Sivic, Christopher K. I. Williams, David C. Hogg
2012 B conf
Workflow Activity Monitoring Using Dynamics of Pair-Wise Qualitative Spatial Relations.
MMM
Ardhendu Behera, Anthony G. Cohn, David C. Hogg
2011 B conf
Exploiting petri-net structure for activity classification and user instruction within an industrial setting.
ICMI
Simon F. Worgan, Ardhendu Behera, Anthony G. Cohn, David C. Hogg
2011 — conf
From Video to RCC8: Exploiting a Distance Based Semantics to Stabilise the Interpretation of Mereotopological Relations.
COSIT
Muralikrishna Sridhar, Anthony G. Cohn, David C. Hogg
2011 B conf
Interleaved Inductive-Abductive Reasoning for Learning Complex Event Models.
ILP
Krishna Sandeep Reddy Dubba, Mehul Bhatt, Frank Dylla, David C. Hogg, Anthony G. Cohn
2011 A conf
Temporal Structure Models for Event Recognition.
BMVC
John Greenall, David C. Hogg, Anthony G. Cohn
2011 — conf
Who knows who - Inverting the Social Force Model for finding groups.
ICCV Workshops
Jan Sochman, David C. Hogg
2010 A conf
Discovering an Event Taxonomy from Video using Qualitative Spatio-temporal Graphs.
ECAI
Muralikrishna Sridhar, Anthony G. Cohn, David C. Hogg
2010 A conf
Event Model Learning from Complex Videos using ILP.
ECAI
Krishna Sandeep Reddy Dubba, Anthony G. Cohn, David C. Hogg
2010 — conf
Relational Graph Mining for Learning Events from Video.
STAIRS
Muralikrishna Sridhar, Anthony G. Cohn, David C. Hogg
2010 A conf
Segmentation using Deformable Spatial Priors with Application to Clothing.
BMVC
Basela Hasan, David C. Hogg
2010 A* conf
Unsupervised Learning of Event Classes from Video.
AAAI
Muralikrishna Sridhar, Anthony G. Cohn, David C. Hogg
2009 A conf
Attribute Multiset Grammars for Global Explanations of Activities.
BMVC
Dima Damen, David C. Hogg
2009 — conf
Motion and Object Class Discovery from Video.
VISAPP (1)
David C. Hogg
2009 J jnl
Navigational strategies in behaviour modelling.
Artif. Intell.
Hannah M. Dee, David C. Hogg
2009 A* conf
Recognizing linked events: Searching the space of feasible explanations.
CVPR
Dima Damen, David C. Hogg
2009 — conf
Scene Modelling and Classification Using Learned Spatial Relations.
COSIT
Hannah M. Dee, David C. Hogg, Anthony G. Cohn
2008 — conf
08091 Abstracts Collection - Logic and Probability for Scene Interpretation.
Logic and Probability for Scene Interpretation
Bernd Neumann, Anthony G. Cohn, David C. Hogg, Ralf Möller
2008 — conf
A Comparative Study on Using Zernike Velocity Moments and Hidden Markov Models for Hand Gesture Recognition.
AMDO
Moaath Al-Rajab, David C. Hogg, Kia Ng
2008 C conf
Building artificial personalities - expressive communication channels based on an interlingua for a human-robot dance.
ALIFE
John Bryden, David C. Hogg, Sita Popat, Mick Wallis
2008 — conf
Detecting Carried Objects in Short Video Sequences.
ECCV (3)
Dima Damen, David C. Hogg
2008 J jnl
Enhanced tracking and recognition of moving objects by reasoning about spatio-temporal continuity.
Image Vis. Comput.
Brandon Bennett, Derek R. Magee, Anthony G. Cohn, David C. Hogg
2008 A conf
Learning Functional Object-Categories from a Relational Spatio-Temporal Representation.
ECAI
Muralikrishna Sridhar, Anthony G. Cohn, David C. Hogg
2008 — ed.
Logic and Probability for Scene Interpretation, 24.02. - 29.02.2008
Logic and Probability for Scene Interpretation
Anthony G. Cohn, David C. Hogg, Ralf Möller, Bernd Neumann
2008 — conf
Modelling Scenes Using the Activity within Them.
Spatial Cognition
Hannah M. Dee, Roberto Fraile, David C. Hogg, Anthony G. Cohn
2008 B conf
Motion segmentation by consensus.
ICPR
Roberto Fraile, David C. Hogg, Anthony G. Cohn
2007 A conf
Associating People Dropping off and Picking up Objects.
BMVC
Dima Damen, David C. Hogg
2006 — conf
Cognitive Vision: Integrating Symbolic Qualitative Representations with Computer Vision.
Cognitive Vision Systems
Anthony G. Cohn, David C. Hogg, Brandon Bennett, Vincent E. Devin, Aphrodite Galata, Derek R. Magee, Chris J. Needham, Paulo E. Santos
2005 B conf
On the feasibility of using a cognitive model to filter surveillance data.
AVSS
Hannah M. Dee, David C. Hogg
2005 J jnl
Protocols from perceptual observations.
Artif. Intell.
Chris J. Needham, Paulo E. Santos, Derek R. Magee, Vincent E. Devin, David C. Hogg, Anthony G. Cohn
2004 A conf
Combining Multiple Answers for Learning Mathematical Structures from Visual Observation.
ECAI
Paulo E. Santos, Derek R. Magee, Anthony G. Cohn, David C. Hogg
2004 A conf
Detecting inexplicable behaviour.
BMVC
Hannah M. Dee, David C. Hogg
2004 A conf
Using Spatio-Temporal Continuity Constraints to Enhance Visual Tracking of Moving Objects.
ECAI
Brandon Bennett, Derek R. Magee, Anthony G. Cohn, David C. Hogg
2003 J jnl
Reactive memories: an interactive talking-head.
Image Vis. Comput.
Vincent E. Devin, David C. Hogg
2003 — conf
Towards an Architecture for Cognitive Vision Using Qualitative Spatio-temporal Representations and Abduction.
Spatial Cognition
Anthony G. Cohn, Derek R. Magee, Aphrodite Galata, David C. Hogg, Shyamanta M. Hazarika
2002 A conf
Modeling Interaction Using Learnt Qualitative Spatio-Temporal Relations and Variable Length Markov Models.
ECAI
Aphrodite Galata, Anthony G. Cohn, Derek R. Magee, David C. Hogg
2002 J jnl
Representation and synthesis of behaviour using Gaussian mixtures.
Image Vis. Comput.
Neil Johnson, David C. Hogg
2001 J jnl
Learning Variable-Length Markov Models of Behavior.
Comput. Vis. Image Underst.
Aphrodite Galata, Neil Johnson, David C. Hogg
2001 A conf
Reactive Memories: An Interactive Talking-Head.
BMVC
Vincent E. Devin, David C. Hogg
2000 J jnl
Constructing qualitative event models automatically from video input.
Image Vis. Comput.
Jonathan H. Fernyhough, Anthony G. Cohn, David C. Hogg
2000 J jnl
Playing on a holo-stage: towards the interaction between real and virtual performers.
Digit. Creativity
Kia Ng, Vítor Sequeira, Emanuele Bovisio, Neil Johnson, David Cooper, João G. M. Gonçalves, David C. Hogg
2000 J jnl
Statistical Models of Object Interaction.
Int. J. Comput. Vis.
Richard J. Morris, David C. Hogg
1999 C conf
Hybrid Approach to the Construction of Triangulated 3D Models of Building Interiors.
ICVS
Erik Wolfart, Vítor Sequeira, Kia Ng, Stuart Butterfield, João G. M. Gonçalves, David C. Hogg
1999 A conf
Learning Behaviour Models of Human Activities.
BMVC
Aphrodite Galata, Neil Johnson, David C. Hogg
1998 — conf
3D Textured Models of Indoor Scenes from Composite Range and Video Images.
Three-Dimensional Image Capture and Applications
Vítor Sequeira, Kia Ng, Stuart Butterfield, João G. M. Gonçalves, David C. Hogg
1998 — conf
An Autonomous Sensor for 3D Reconstruction.
ECMAST
David Leevers, Pedro Gil, Francisco Martinho Lopes, João Pereira, José Castro, João Gomes-Mota, M. Isabel Ribeiro, João G. M. Gonçalves, Vítor Sequeira, Erik Wolfart, Vincent Dupourqué, Vítor M. F. Santos, Stuart Butterfield, David C. Hogg, Kia Ng
1998 A* conf
Building Qualitative Event Models Automatically from Visual Input.
ICCV
Jonathan H. Fernyhough, Anthony G. Cohn, David C. Hogg
1998 A* conf
The Acquisition and Use of Interaction Behavior Models.
CVPR
Neil Johnson, Aphrodite Galata, David C. Hogg
1998 A* conf
Wormholes in Shape Space: Tracking Through Discontinuous Changes in Shape.
ICCV
Tony Heap, David C. Hogg
1997 A conf
An Integrated Traffic and Pedestrian Model-Based Vision System.
BMVC
Paolo Remagnino, Adam Baumberg, T. Grove, David C. Hogg, T. N. Tan, Anthony D. Worrall, Keith D. Baker
1997 A conf
Improving Specificity in PDMs using a Hierarchical Approach.
BMVC
Tony Heap, David C. Hogg
1997 J jnl
Neural networks in human motion tracking - An experimental study.
Image Vis. Comput.
Li-Qun Xu, David C. Hogg
1996 — conf
3D Deformable Hand Models.
Gesture Workshop
Tony Heap, David C. Hogg
1996 J jnl
Extending the Point Distribution Model using polar coordinates.
Image Vis. Comput.
Tony Heap, David C. Hogg
1996 J jnl
Generating spatiotemporal models from examples.
Image Vis. Comput.
Adam Baumberg, David C. Hogg
1996 — conf
Generation of Semantic Regions from Image Sequences.
ECCV (2)
Jonathan H. Fernyhough, Anthony G. Cohn, David C. Hogg
1996 — conf
Global Alignment of MR Images Using a Scale Based Hierarchical Model.
ECCV (2)
S. Fletcher, Andrew J. Bulpitt, David C. Hogg
1996 J jnl
Learning the distribution of object trajectories for event recognition.
Image Vis. Comput.
Neil Johnson, David C. Hogg
1996 — ch.
Machine Vision.
Artificial Intelligence
David C. Hogg
1996 A conf
Neural Networks in Human Motion Tracking - An Experimental Study.
BMVC
Li-Qun Xu, David C. Hogg
1996 — conf
Real Time Hand Tracking and Gesture Recognition as a 3D Input Device for Graphical Applications.
Gesture Workshop
Richard Bowden, Tony Heap, David C. Hogg
1996 B conf
Towards 3D hand tracking using a deformable model.
FG
Tony Heap, David C. Hogg
1995 J jnl
3D shape recovery using a deformable model.
Image Vis. Comput.
Xinquan Shen, David C. Hogg
1995 A conf
An Adaptive Eigenshape Model.
BMVC
Adam Baumberg, David C. Hogg
1995 A conf
Automated Pivot Location for the Cartesian-Polar Hybrid Point Distribution Model.
BMVC
Tony Heap, David C. Hogg
1995 C conf
Extending the Point Distribution Model Using Polar Coordinates.
CAIP
Tony Heap, David C. Hogg
1995 A conf
Generating Spatiotemporal Models from Examples.
BMVC
Adam Baumberg, David C. Hogg
1995 C conf
Generic 3-D Shape Model: Acquisitions and Applications.
CAIP
Xinquan Shen, David C. Hogg
1995 A conf
Learning the Distribution of Object Trajectories for Event Recognition.
BMVC
Neil Johnson, David C. Hogg
1994 A conf
3-D Shape Recovery Using A Deformable Model.
BMVC
Xinquan Shen, David C. Hogg
1994 — conf
Learning Flexible Models from Image Sequences.
ECCV (1)
Adam Baumberg, David C. Hogg
1994 — conf
Shape Models from Image Sequences.
ECCV (1)
Xinquan Shen, David C. Hogg
1993 J jnl
Shape in machine vision.
Image Vis. Comput.
David C. Hogg
1993 J jnl
Special issue: British Machine Vision Conference 1992.
Image Vis. Comput.
David C. Hogg
1992 A conf
Building a Model of a Road Junction Using Moving Vehicle Information.
BMVC
Li-Qun Xu, David S. Young, David C. Hogg
1992 A ed.
Proceedings of the British Machine Vision Conference, BMVC 1992, Leeds, UK, September, 1992
BMVC
David C. Hogg, Roger Boyle
1988 J jnl
The use of digital map data in the segmentation and classification of remotely-sensed images.
Int. J. Geogr. Inf. Sci.
David C. Mason, D. G. Corr, Alan Cross, David C. Hogg, D. H. Lawrence, Maria Petrou, Anita Tailor
1987 A ed.
Advances in Artificial Intelligence II, Seventh European Conference on Artificial Intelligence, ECAI 1986, Brighton, UK, July 20-25, 1986, Proceedings.
ECAI
Benedict du Boulay, David C. Hogg, Luc Steels
1987 — conf
Knowledge-Based Segmentation for Remote-Sensing.
Alvey Vision Conference
Anita Tailor, D. G. Corr, Alan Cross, David C. Hogg, D. H. Lawrence, David C. Mason, Maria Petrou
1986 J jnl
Knowledge-based interpretation of remotely sensed images.
Image Vis. Comput.
Anita Tailor, Alan Cross, David C. Hogg, David C. Mason
1983 J jnl
Model-based vision: a program to see a walking person.
Image Vis. Comput.
David C. Hogg
1977 A* conf
A Methodology for Real Time Scene Analysis.
IJCAI
David C. Hogg