David C. Hogg

ORCID

Publication Activity (10 Years)

Years Active: 1977-2024
Publications (10 Years): 45

Top Venues

Publications

Fangjun Li, David C. Hogg, Anthony G. Cohn
Advancing Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark. CoRR (2024)
Fangjun Li, David C. Hogg, Anthony G. Cohn
Reframing Spatial Reasoning Evaluation in Language Models: A Real-World Simulation Benchmark for Qualitative Reasoning. CoRR (2024)
Fangjun Li, David C. Hogg, Anthony G. Cohn
Advancing Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark. AAAI (2024)
Yunfeng Diao, He Wang, Tianjia Shao, Yongliang Yang, Kun Zhou, David C. Hogg, Meng Wang
Understanding the vulnerability of skeleton-based Human Activity Recognition via black-box attack. Pattern Recognit. 153 (2024)
Thomas P. Ilett, Omer Yuval, Thomas Ranner, Netta Cohen, David C. Hogg
3D shape reconstruction of semi-transparent worms. CoRR (2023)
Rebecca S. Stone, Nishant Ravikumar, Andrew J. Bulpitt, David C. Hogg
Implicit Visual Bias Mitigation by Posterior Estimate Sharpening of a Bayesian Neural Network. CoRR (2023)
Thomas P. Ilett, Omer Yuval, Thomas Ranner, Netta Cohen, David C. Hogg
3D Shape Reconstruction of Semi-Transparent Worms. CVPR (2023)
Rebecca S. Stone, Pedro Esteban Chavarrias-Solano, Andrew J. Bulpitt, David C. Hogg, Sharib Ali
Bayesian Uncertainty-Weighted Loss for Improved Generalisability on Polyp Segmentation Task. CLIP/FAIMI/EPIMI@MICCAI (2023)
Jose Sosa, David C. Hogg
Self-supervised 3D Human Pose Estimation from a Single Image. CVPR Workshops (2023)
Jose Sosa, David C. Hogg
A Horse with no Labels: Self-Supervised Horse Pose Estimation from Unlabelled Images and Synthetic Prior. ICCV (Workshops) (2023)
Jose Sosa, Sharn Perry, Jane E. Alty, David C. Hogg
Of Mice and Pose: 2D Mouse Pose Estimation from Unlabelled Data and Synthetic Prior. CoRR (2023)
Rebecca S. Stone, Pedro Esteban Chavarrias-Solano, Andrew J. Bulpitt, David C. Hogg, Sharib Ali
Bayesian uncertainty-weighted loss for improved generalisability on polyp segmentation task. CoRR (2023)
Jose Sosa, David C. Hogg
A Horse with no Labels: Self-Supervised Horse Pose Estimation from Unlabelled Images and Synthetic Prior. CoRR (2023)
Mohammed M. Alghamdi, He Wang, Andrew J. Bulpitt, David C. Hogg
Talking Head from Speech Audio using a Pre-trained Image Generator. ACM Multimedia (2022)
Rebecca S. Stone, Nishant Ravikumar, Andrew J. Bulpitt, David C. Hogg
Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation. CVPR Workshops (2022)
Fangjun Li, David C. Hogg, Anthony G. Cohn
Exploring the GLIDE model for Human Action-effect Prediction. CoRR (2022)
Mohammed M. Alghamdi, He Wang, Andrew J. Bulpitt, David C. Hogg
Talking Head from Speech Audio using a Pre-trained Image Generator. CoRR (2022)
Rebecca S. Stone, Nishant Ravikumar, Andrew J. Bulpitt, David C. Hogg
Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation. CoRR (2022)
Muhannad Al-Omari, Fangjun Li, David C. Hogg, Anthony G. Cohn
Online perceptual learning and natural language acquisition for autonomous robots. Artif. Intell. 303 (2022)
Leo Pauly, Wisdom C. Agboh, David C. Hogg, Raul Fuentes
A: One-Shot Observational Learning with Action Vectors. Frontiers Robotics AI 8 (2021)
Angelina Prima Kurniati, Eric Rojas, Kieran Zucker, Geoff Hall, David C. Hogg, Owen A. Johnson
Process Mining to Explore Variations in Endometrial Cancer Pathways from GP Referral to First Treatment. MIE (2021)
Angelina Prima Kurniati, Geoff Hall, David C. Hogg, Owen A. Johnson
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 (2020)
Paul Duckworth, David C. Hogg, Anthony G. Cohn
Unsupervised human activity analysis for intelligent mobile robots. Artif. Intell. 270 (2019)
Alison McKay, Hau Hing Chau, Christopher F. Earl, Amar Kumar Behera, Alan de Pennington, David C. Hogg
A lattice-based approach for navigating design configuration spaces. Adv. Eng. Informatics 42 (2019)
Angelina Prima Kurniati, Eric Rojas, David C. Hogg, Geoff Hall, Owen A. Johnson
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. 25 (4) (2019)
Angelina Prima Kurniati, Ciarán McInerney, Kieran Zucker, Geoff Hall, David C. Hogg, Owen A. Johnson
A Multi-level Approach for Identifying Process Change in Cancer Pathways. Business Process Management Workshops (2019)
Jawad Tayyub, Majd Hawasly, David C. Hogg, Anthony G. Cohn
Learning Hierarchical Models of Complex Daily Activities from Annotated Videos. WACV (2018)
Leo Pauly, Wisdom C. Agboh, Mohamed Abdellatif, David C. Hogg, Raul Fuentes
One-Shot Observation Learning. CoRR (2018)
Muhannad Al-Omari, Paul Duckworth, David C. Hogg, Anthony G. Cohn
Learning of Object Properties, Spatial Relations, and Actions for Embodied Agents from Language and Vision. AAAI Spring Symposia (2017)
Jawad Tayyub, Majd Hawasly, David C. Hogg, Anthony G. Cohn
CLAD: A Complex and Long Activities Dataset with Rich Crowdsourced Annotations. CoRR (2017)
Muhannad Al-Omari, Paul Duckworth, David C. Hogg, Anthony G. Cohn
Natural Language Acquisition and Grounding for Embodied Robotic Systems. AAAI (2017)
Muhannad Al-Omari, Paul Duckworth, Nils Bore, Majd Hawasly, David C. Hogg, Anthony G. Cohn
Grounding of Human Environments and Activities for Autonomous Robots. IJCAI (2017)
Hanh Tran, David C. Hogg
Anomaly Detection using a Convolutional Winner-Take-All Autoencoder. BMVC (2017)
Muhannad Al-Omari, Paul Duckworth, Majd Hawasly, David C. Hogg, Anthony G. Cohn
Natural Language Grounding and Grammar Induction for Robotic Manipulation Commands. RoboNLP@ACL (2017)
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
The STRANDS Project: Long-Term Autonomy in Everyday Environments. IEEE Robotics Autom. Mag. 24 (3) (2017)
Paul Duckworth, Muhannad Al-Omari, James Charles, David C. Hogg, Anthony G. Cohn
Latent Dirichlet Allocation for Unsupervised Activity Analysis on an Autonomous Mobile Robot. AAAI (2017)
James Charles, Derek R. Magee, David C. Hogg
Virtual Immortality: Reanimating Characters from TV Shows. ECCV Workshops (3) (2016)
Muhannad Al-Omari, Eris Chinellato, Yiannis Gatsoulis, David C. Hogg, Anthony G. Cohn
Unsupervised Grounding of Textual Descriptions of Object Features and Actions in Video. KR (2016)
Feng Gu, Muralikrishna Sridhar, Anthony G. Cohn, David C. Hogg, Francisco Flórez-Revuelta, Dorothy Monekosso, Paolo Remagnino
Weakly supervised activity analysis with spatio-temporal localisation. Neurocomputing 216 (2016)
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
The STRANDS Project: Long-Term Autonomy in Everyday Environments. CoRR (2016)
Paul Duckworth, Muhannad Al-Omari, Yiannis Gatsoulis, David C. Hogg, Anthony G. Cohn
Unsupervised Activity Recognition Using Latent Semantic Analysis on a Mobile Robot. ECAI (2016)
James Charles, Tomas Pfister, Derek R. Magee, David C. Hogg, Andrew Zisserman
Personalizing Human Video Pose Estimation. CVPR (2016)
Eris Chinellato, David C. Hogg, Anthony G. Cohn
Feature Space Analysis for Human Activity Recognition in Smart Environments. Intelligent Environments (2016)
Kyaw Kyaw Htike, David C. Hogg
Adapting pedestrian detectors to new domains: A comprehensive review. Eng. Appl. Artif. Intell. 50 (2016)
Paul Duckworth, Yiannis Gatsoulis, Ferdian Jovan, Nick Hawes, David C. Hogg, Anthony G. Cohn
Unsupervised Learning of Qualitative Motion Behaviours by a Mobile Robot. AAMAS (2016)
Krishna Sandeep Reddy Dubba, Anthony G. Cohn, David C. Hogg, Mehul Bhatt, Frank Dylla
Learning Relational Event Models from Video. J. Artif. Intell. Res. 53 (2015)
James Charles, Tomas Pfister, Derek R. Magee, David C. Hogg, Andrew Zisserman
Personalizing Human Video Pose Estimation. CoRR (2015)
Aryana Tavanai, Muralikrishna Sridhar, Eris Chinellato, Anthony G. Cohn, David C. Hogg
Joint Tracking and Event Analysis for Carried Object Detection. BMVC (2015)
James Charles, Tomas Pfister, Derek R. Magee, David C. Hogg, Andrew Zisserman
Upper Body Pose Estimation with Temporal Sequential Forests. BMVC (2014)
Ardhendu Behera, Matthew Chapman, Anthony G. Cohn, David C. Hogg
Egocentric Activity Recognition using Histograms of Oriented Pairwise Relations. VISAPP (2) (2014)
Ardhendu Behera, Anthony G. Cohn, David C. Hogg
Real-time Activity Recognition by Discerning Qualitative Relationships Between Randomly Chosen Visual Features. BMVC (2014)
Kyaw Kyaw Htike, David C. Hogg
Efficient Non-iterative Domain Adaptation of Pedestrian Detectors to Video Scenes. ICPR (2014)
Kyaw Kyaw Htike, David C. Hogg
Weakly supervised pedestrian detector training by unsupervised prior learning and cue fusion in videos. ICIP (2014)
Aryana Tavanai, Muralikrishna Sridhar, Feng Gu, Anthony G. Cohn, David C. Hogg
Context Aware Detection and Tracking. ICPR (2014)
Jawad Tayyub, Aryana Tavanai, Yiannis Gatsoulis, Anthony G. Cohn, David C. Hogg
Qualitative and Quantitative Spatio-temporal Relations in Daily Living Activity Recognition. ACCV (5) (2014)
Kyaw Kyaw Htike, David C. Hogg
Unsupervised Detector Adaptation by Joint Dataset Feature Learning. ICCVG (2014)
Aryana Tavanai, Muralikrishna Sridhar, Feng Gu, Anthony G. Cohn, David C. Hogg
Carried Object Detection and Tracking Using Geometric Shape Models and Spatio-temporal Consistency. ICVS (2013)
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
Robust abandoned object detection integrating wide area visual surveillance and social context. Pattern Recognit. Lett. 34 (7) (2013)
James Charles, Tomas Pfister, Derek R. Magee, David C. Hogg, Andrew Zisserman
Domain Adaptation for Upper Body Pose Tracking in Signed TV Broadcasts. BMVC (2013)
Ian Hales, David C. Hogg, Kia Ng, Roger Boyle
Automated Ground-Plane Estimation for Trajectory Rectification. CAIP (2) (2013)
Dima Damen, David C. Hogg
Detecting Carried Objects from Sequences of Walking Pedestrians. IEEE Trans. Pattern Anal. Mach. Intell. 34 (6) (2012)
Ardhendu Behera, Anthony G. Cohn, David C. Hogg
Workflow Activity Monitoring Using Dynamics of Pair-Wise Qualitative Spatial Relations. MMM (2012)
Ardhendu Behera, David C. Hogg, Anthony G. Cohn
Egocentric Activity Monitoring and Recovery. ACCV (3) (2012)
Dima Damen, David C. Hogg
Explaining Activities as Consistent Groups of Events - A Bayesian Framework Using Attribute Multiset Grammars. Int. J. Comput. Vis. 98 (1) (2012)
Hannah M. Dee, Anthony G. Cohn, David C. Hogg
Building semantic scene models from unconstrained video. Comput. Vis. Image Underst. 116 (3) (2012)
Andrew Zisserman, John M. Winn, Andrew W. Fitzgibbon, Luc Van Gool, Josef Sivic, Christopher K. I. Williams, David C. Hogg
In Memoriam: Mark Everingham. IEEE Trans. Pattern Anal. Mach. Intell. 34 (11) (2012)
Simon F. Worgan, Ardhendu Behera, Anthony G. Cohn, David C. Hogg
Exploiting petri-net structure for activity classification and user instruction within an industrial setting. ICMI (2011)
Krishna Sandeep Reddy Dubba, Mehul Bhatt, Frank Dylla, David C. Hogg, Anthony G. Cohn
Interleaved Inductive-Abductive Reasoning for Learning Complex Event Models. ILP (2011)
John Greenall, David C. Hogg, Anthony G. Cohn
Temporal Structure Models for Event Recognition. BMVC (2011)
Jan Sochman, David C. Hogg
Who knows who - Inverting the Social Force Model for finding groups. ICCV Workshops (2011)
Muralikrishna Sridhar, Anthony G. Cohn, David C. Hogg
From Video to RCC8: Exploiting a Distance Based Semantics to Stabilise the Interpretation of Mereotopological Relations. COSIT (2011)
Basela Hasan, David C. Hogg
Segmentation using Deformable Spatial Priors with Application to Clothing. BMVC (2010)
Muralikrishna Sridhar, Anthony G. Cohn, David C. Hogg
Discovering an Event Taxonomy from Video using Qualitative Spatio-temporal Graphs. ECAI (2010)
Muralikrishna Sridhar, Anthony G. Cohn, David C. Hogg
Relational Graph Mining for Learning Events from Video. STAIRS (2010)
Muralikrishna Sridhar, Anthony G. Cohn, David C. Hogg
Unsupervised Learning of Event Classes from Video. AAAI (2010)
Krishna Sandeep Reddy Dubba, Anthony G. Cohn, David C. Hogg
Event Model Learning from Complex Videos using ILP. ECAI (2010)
Hannah M. Dee, David C. Hogg, Anthony G. Cohn
Scene Modelling and Classification Using Learned Spatial Relations. COSIT (2009)
Dima Damen, David C. Hogg
Recognizing linked events: Searching the space of feasible explanations. CVPR (2009)
David C. Hogg
Motion and Object Class Discovery from Video. VISAPP (1) (2009)
Hannah M. Dee, David C. Hogg
Navigational strategies in behaviour modelling. Artif. Intell. 173 (2) (2009)
Dima Damen, David C. Hogg
Attribute Multiset Grammars for Global Explanations of Activities. BMVC (2009)
Moaath Al-Rajab, David C. Hogg, Kia Ng
A Comparative Study on Using Zernike Velocity Moments and Hidden Markov Models for Hand Gesture Recognition. AMDO (2008)
Hannah M. Dee, Roberto Fraile, David C. Hogg, Anthony G. Cohn
Modelling Scenes Using the Activity within Them. Spatial Cognition (2008)
Brandon Bennett, Derek R. Magee, Anthony G. Cohn, David C. Hogg
Enhanced tracking and recognition of moving objects by reasoning about spatio-temporal continuity. Image Vis. Comput. 26 (1) (2008)
Muralikrishna Sridhar, Anthony G. Cohn, David C. Hogg
Learning Functional Object-Categories from a Relational Spatio-Temporal Representation. ECAI (2008)
Bernd Neumann, Anthony G. Cohn, David C. Hogg, Ralf Möller
08091 Abstracts Collection - Logic and Probability for Scene Interpretation. Logic and Probability for Scene Interpretation (2008)
Dima Damen, David C. Hogg
Detecting Carried Objects in Short Video Sequences. ECCV (3) (2008)
Roberto Fraile, David C. Hogg, Anthony G. Cohn
Motion segmentation by consensus. ICPR (2008)
John Bryden, David C. Hogg, Sita Popat, Mick Wallis
Building artificial personalities - expressive communication channels based on an interlingua for a human-robot dance. ALIFE (2008)
Mick Wallis, Sita Popat, Alice Bayliss, Joslin McKinney, John Bryden, David C. Hogg, Matthew Godden, Rich Walker
and the emergent object: designing for the twenty-first century. DUX (2007)
Dima Damen, David C. Hogg
Associating People Dropping off and Picking up Objects. BMVC (2007)
Anthony G. Cohn, David C. Hogg, Brandon Bennett, Vincent E. Devin, Aphrodite Galata, Derek R. Magee, Chris J. Needham, Paulo E. Santos
Cognitive Vision: Integrating Symbolic Qualitative Representations with Computer Vision. Cognitive Vision Systems (2006)
Hannah M. Dee, David C. Hogg
On the feasibility of using a cognitive model to filter surveillance data. AVSS (2005)
Chris J. Needham, Paulo E. Santos, Derek R. Magee, Vincent E. Devin, David C. Hogg, Anthony G. Cohn
Protocols from perceptual observations. Artif. Intell. 167 (1-2) (2005)
Brandon Bennett, Derek R. Magee, Anthony G. Cohn, David C. Hogg
Using Spatio-Temporal Continuity Constraints to Enhance Visual Tracking of Moving Objects. ECAI (2004)
Paulo E. Santos, Derek R. Magee, Anthony G. Cohn, David C. Hogg
Combining Multiple Answers for Learning Mathematical Structures from Visual Observation. ECAI (2004)
Hannah M. Dee, David C. Hogg
Detecting inexplicable behaviour. BMVC (2004)
Anthony G. Cohn, Derek R. Magee, Aphrodite Galata, David C. Hogg, Shyamanta M. Hazarika
Towards an Architecture for Cognitive Vision Using Qualitative Spatio-temporal Representations and Abduction. Spatial Cognition (2003)
Vincent E. Devin, David C. Hogg
Reactive memories: an interactive talking-head. Image Vis. Comput. 21 (13-14) (2003)
Neil Johnson, David C. Hogg
Representation and synthesis of behaviour using Gaussian mixtures. Image Vis. Comput. 20 (12) (2002)

David C. Hogg.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

David C. Hogg