A Methodology for Real Time Scene Analysis. - David C. Hogg (IJCAI, 1977)

Model-based vision: a program to see a walking person. - David C. Hogg (Image Vis. Comput., 1983)

Knowledge-based interpretation of remotely sensed images. - Anita Tailor; Alan Cross; David C. Hogg; David C. Mason (Image Vis. Comput., 1986)

Knowledge-Based Segmentation for Remote-Sensing. - Anita Tailor; D. G. Corr; Alan Cross; David C. Hogg; D. H. Lawrence; David C. Mason; Maria Petrou (Alvey Vision Conference, 1987)

The use of digital map data in the segmentation and classification of remotely-sensed images. - David C. Mason; D. G. Corr; Alan Cross; David C. Hogg; D. H. Lawrence; Maria Petrou; Anita Tailor (Int. J. Geogr. Inf. Sci., 1988)

Building a Model of a Road Junction Using Moving Vehicle Information. - Li-Qun Xu; David S. Young; David C. Hogg (BMVC, 1992)

Special issue: British Machine Vision Conference 1992. - David C. Hogg (Image Vis. Comput., 1993)

Shape in machine vision. - David C. Hogg (Image Vis. Comput., 1993)

3-D Shape Recovery Using A Deformable Model. - Xinquan Shen; David C. Hogg (BMVC, 1994)

Learning Flexible Models from Image Sequences. - Adam Baumberg; David C. Hogg (ECCV (1), 1994)

Shape Models from Image Sequences. - Xinquan Shen; David C. Hogg (ECCV (1), 1994)

An Adaptive Eigenshape Model. - Adam Baumberg; David C. Hogg (BMVC, 1995)

Automated Pivot Location for the Cartesian-Polar Hybrid Point Distribution Model. - Tony Heap; David C. Hogg (BMVC, 1995)

Generic 3-D Shape Model: Acquisitions and Applications. - Xinquan Shen; David C. Hogg (CAIP, 1995)

3D shape recovery using a deformable model. - Xinquan Shen; David C. Hogg (Image Vis. Comput., 1995)

Machine Vision. - David C. Hogg (Artificial Intelligence, 1996)

Generation of Semantic Regions from Image Sequences. - Jonathan H. Fernyhough; Anthony G. Cohn 001; David C. Hogg (ECCV (2), 1996)

Global Alignment of MR Images Using a Scale Based Hierarchical Model. - S. Fletcher; Andrew J. Bulpitt; David C. Hogg (ECCV (2), 1996)

Towards 3D hand tracking using a deformable model. - Tony Heap; David C. Hogg (FG, 1996)

Real Time Hand Tracking and Gesture Recognition as a 3D Input Device for Graphical Applications. - Richard Bowden; Tony Heap; David C. Hogg (Gesture Workshop, 1996)

3D Deformable Hand Models. - Tony Heap; David C. Hogg (Gesture Workshop, 1996)

Generating spatiotemporal models from examples. - Adam Baumberg; David C. Hogg (Image Vis. Comput., 1996)

Extending the Point Distribution Model using polar coordinates. - Tony Heap; David C. Hogg (Image Vis. Comput., 1996)

Learning the distribution of object trajectories for event recognition. - Neil Johnson 001; David C. Hogg (Image Vis. Comput., 1996)

Improving Specificity in PDMs using a Hierarchical Approach. - Tony Heap; David C. Hogg (BMVC, 1997)

An Integrated Traffic and Pedestrian Model-Based Vision System. - Paolo Remagnino; Adam Baumberg; T. Grove; David C. Hogg; T. N. Tan; Anthony D. Worrall; Keith D. Baker (BMVC, 1997)

Neural networks in human motion tracking - An experimental study. - Li-Qun Xu; David C. Hogg (Image Vis. Comput., 1997)

3D Textured Models of Indoor Scenes from Composite Range and Video Images. - Vítor Sequeira; Kia Ng; Stuart Butterfield; João G. M. Gonçalves; David C. Hogg (Three-Dimensional Image Capture and Applications, 1998)

The Acquisition and Use of Interaction Behavior Models. - Neil Johnson 001; Aphrodite Galata; David C. Hogg (CVPR, 1998)

An Autonomous Sensor for 3D Reconstruction. - 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; et al. (ECMAST, 1998)

Building Qualitative Event Models Automatically from Visual Input. - Jonathan H. Fernyhough; Anthony G. Cohn 001; David C. Hogg (ICCV, 1998)

Wormholes in Shape Space: Tracking Through Discontinuous Changes in Shape. - Tony Heap; David C. Hogg (ICCV, 1998)

Learning Behaviour Models of Human Activities. - Aphrodite Galata; Neil Johnson 001; David C. Hogg (BMVC, 1999)

Hybrid Approach to the Construction of Triangulated 3D Models of Building Interiors. - Erik Wolfart; Vítor Sequeira; Kia Ng; Stuart Butterfield; João G. M. Gonçalves; David C. Hogg (ICVS, 1999)

Playing on a holo-stage: towards the interaction between real and virtual performers. - Kia Ng; Vítor Sequeira; Emanuele Bovisio; Neil Johnson 001; David Cooper; João G. M. Gonçalves; David C. Hogg (Digit. Creativity, 2000)

Statistical Models of Object Interaction. - Richard J. Morris; David C. Hogg (Int. J. Comput. Vis., 2000)

Constructing qualitative event models automatically from video input. - Jonathan H. Fernyhough; Anthony G. Cohn 001; David C. Hogg (Image Vis. Comput., 2000)

Learning Variable-Length Markov Models of Behavior. - Aphrodite Galata; Neil Johnson 001; David C. Hogg (Comput. Vis. Image Underst., 2001)

Modeling Interaction Using Learnt Qualitative Spatio-Temporal Relations and Variable Length Markov Models. - Aphrodite Galata; Anthony G. Cohn 001; Derek R. Magee; David C. Hogg (ECAI, 2002)

Representation and synthesis of behaviour using Gaussian mixtures. - Neil Johnson 001; David C. Hogg (Image Vis. Comput., 2002)

Towards an Architecture for Cognitive Vision Using Qualitative Spatio-temporal Representations and Abduction. - Anthony G. Cohn 001; Derek R. Magee; Aphrodite Galata; David C. Hogg; Shyamanta M. Hazarika (Spatial Cognition, 2003)

Reactive memories: an interactive talking-head. - Vincent E. Devin; David C. Hogg (Image Vis. Comput., 2003)

Detecting inexplicable behaviour. - Hannah M. Dee; David C. Hogg (BMVC, 2004)

Using Spatio-Temporal Continuity Constraints to Enhance Visual Tracking of Moving Objects. - Brandon Bennett; Derek R. Magee; Anthony G. Cohn 001; David C. Hogg (ECAI, 2004)

Combining Multiple Answers for Learning Mathematical Structures from Visual Observation. - Paulo E. Santos; Derek R. Magee; Anthony G. Cohn 001; David C. Hogg (ECAI, 2004)

On the feasibility of using a cognitive model to filter surveillance data. - Hannah M. Dee; David C. Hogg (AVSS, 2005)

Protocols from perceptual observations. - Chris J. Needham; Paulo E. Santos; Derek R. Magee; Vincent E. Devin; David C. Hogg; Anthony G. Cohn 001 (Artif. Intell., 2005)

Cognitive Vision: Integrating Symbolic Qualitative Representations with Computer Vision. - Anthony G. Cohn 001; David C. Hogg; Brandon Bennett; Vincent E. Devin; Aphrodite Galata; Derek R. Magee; Chris J. Needham; Paulo E. Santos (Cognitive Vision Systems, 2006)

Associating People Dropping off and Picking up Objects. - Dima Damen; David C. Hogg (BMVC, 2007)

SpiderCrab and the emergent object: designing for the twenty-first century. - Mick Wallis; Sita Popat; Alice Bayliss; Joslin McKinney; John Bryden; David C. Hogg; Matthew Godden; Rich Walker (DUX, 2007)

Building artificial personalities - expressive communication channels based on an interlingua for a human-robot dance. - John Bryden; David C. Hogg; Sita Popat; Mick Wallis (ALIFE, 2008)

A Comparative Study on Using Zernike Velocity Moments and Hidden Markov Models for Hand Gesture Recognition. - Moaath Al-Rajab; David C. Hogg; Kia Ng (AMDO, 2008)

08091 Abstracts Collection - Logic and Probability for Scene Interpretation. - Bernd Neumann; Anthony G. Cohn 001; David C. Hogg; Ralf Möller 001 (Logic and Probability for Scene Interpretation, 2008)

Learning Functional Object-Categories from a Relational Spatio-Temporal Representation. - Muralikrishna Sridhar; Anthony G. Cohn 001; David C. Hogg (ECAI, 2008)

Detecting Carried Objects in Short Video Sequences. - Dima Damen; David C. Hogg (ECCV (3), 2008)

Motion segmentation by consensus. - Roberto Fraile; David C. Hogg; Anthony G. Cohn 001 (ICPR, 2008)

Modelling Scenes Using the Activity within Them. - Hannah M. Dee; Roberto Fraile; David C. Hogg; Anthony G. Cohn 001 (Spatial Cognition, 2008)

Enhanced tracking and recognition of moving objects by reasoning about spatio-temporal continuity. - Brandon Bennett; Derek R. Magee; Anthony G. Cohn 001; David C. Hogg (Image Vis. Comput., 2008)

Attribute Multiset Grammars for Global Explanations of Activities. - Dima Damen; David C. Hogg (BMVC, 2009)

Scene Modelling and Classification Using Learned Spatial Relations. - Hannah M. Dee; David C. Hogg; Anthony G. Cohn 001 (COSIT, 2009)

Recognizing linked events: Searching the space of feasible explanations. - Dima Damen; David C. Hogg (CVPR, 2009)

Motion and Object Class Discovery from Video. - David C. Hogg (VISAPP (1), 2009)

Navigational strategies in behaviour modelling. - Hannah M. Dee; David C. Hogg (Artif. Intell., 2009)

Unsupervised Learning of Event Classes from Video. - Muralikrishna Sridhar; Anthony G. Cohn 001; David C. Hogg (AAAI, 2010)

Segmentation using Deformable Spatial Priors with Application to Clothing. - Basela Hasan; David C. Hogg (BMVC, 2010)

Event Model Learning from Complex Videos using ILP. - Krishna Sandeep Reddy Dubba; Anthony G. Cohn 001; David C. Hogg (ECAI, 2010)

Discovering an Event Taxonomy from Video using Qualitative Spatio-temporal Graphs. - Muralikrishna Sridhar; Anthony G. Cohn 001; David C. Hogg (ECAI, 2010)

Relational Graph Mining for Learning Events from Video. - Muralikrishna Sridhar; Anthony G. Cohn 001; David C. Hogg (STAIRS, 2010)

Temporal Structure Models for Event Recognition. - John Greenall; David C. Hogg; Anthony G. Cohn 001 (BMVC, 2011)

From Video to RCC8: Exploiting a Distance Based Semantics to Stabilise the Interpretation of Mereotopological Relations. - Muralikrishna Sridhar; Anthony G. Cohn 001; David C. Hogg (COSIT, 2011)

Who knows who - Inverting the Social Force Model for finding groups. - Jan Sochman; David C. Hogg (ICCV Workshops, 2011)

Exploiting petri-net structure for activity classification and user instruction within an industrial setting. - Simon F. Worgan; Ardhendu Behera; Anthony G. Cohn 001; David C. Hogg (ICMI, 2011)

Interleaved Inductive-Abductive Reasoning for Learning Complex Event Models. - Krishna Sandeep Reddy Dubba; Mehul Bhatt; Frank Dylla; David C. Hogg; Anthony G. Cohn 001 (ILP, 2011)

Egocentric Activity Monitoring and Recovery. - Ardhendu Behera; David C. Hogg; Anthony G. Cohn 001 (ACCV (3), 2012)

Workflow Activity Monitoring Using Dynamics of Pair-Wise Qualitative Spatial Relations. - Ardhendu Behera; Anthony G. Cohn 001; David C. Hogg (MMM, 2012)

Building semantic scene models from unconstrained video. - Hannah M. Dee; Anthony G. Cohn 001; David C. Hogg (Comput. Vis. Image Underst., 2012)

Explaining Activities as Consistent Groups of Events - A Bayesian Framework Using Attribute Multiset Grammars. - Dima Damen; David C. Hogg (Int. J. Comput. Vis., 2012)

Detecting Carried Objects from Sequences of Walking Pedestrians. - Dima Damen; David C. Hogg (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

In Memoriam: Mark Everingham. - Andrew Zisserman; John M. Winn; Andrew W. Fitzgibbon; Luc Van Gool; Josef Sivic; Christopher K. I. Williams; David C. Hogg (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Domain Adaptation for Upper Body Pose Tracking in Signed TV Broadcasts. - James Charles; Tomas Pfister; Derek R. Magee; David C. Hogg; Andrew Zisserman (BMVC, 2013)

Automated Ground-Plane Estimation for Trajectory Rectification. - Ian Hales; David C. Hogg; Kia Ng; Roger Boyle (CAIP (2), 2013)

Carried Object Detection and Tracking Using Geometric Shape Models and Spatio-temporal Consistency. - Aryana Tavanai; Muralikrishna Sridhar; Feng Gu 006; Anthony G. Cohn 001; David C. Hogg (ICVS, 2013)

Robust abandoned object detection integrating wide area visual surveillance and social context. - 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; et al. (Pattern Recognit. Lett., 2013)

Qualitative and Quantitative Spatio-temporal Relations in Daily Living Activity Recognition. - Jawad Tayyub; Aryana Tavanai; Yiannis Gatsoulis; Anthony G. Cohn 001; David C. Hogg (ACCV (5), 2014)

Real-time Activity Recognition by Discerning Qualitative Relationships Between Randomly Chosen Visual Features. - Ardhendu Behera; Anthony G. Cohn 001; David C. Hogg (BMVC, 2014)

Upper Body Pose Estimation with Temporal Sequential Forests. - James Charles; Tomas Pfister; Derek R. Magee; David C. Hogg; Andrew Zisserman (BMVC, 2014)

Unsupervised Detector Adaptation by Joint Dataset Feature Learning. - Kyaw Kyaw Htike; David C. Hogg (ICCVG, 2014)

Weakly supervised pedestrian detector training by unsupervised prior learning and cue fusion in videos. - Kyaw Kyaw Htike; David C. Hogg (ICIP, 2014)

Efficient Non-iterative Domain Adaptation of Pedestrian Detectors to Video Scenes. - Kyaw Kyaw Htike; David C. Hogg (ICPR, 2014)

Context Aware Detection and Tracking. - Aryana Tavanai; Muralikrishna Sridhar; Feng Gu 006; Anthony G. Cohn 001; David C. Hogg (ICPR, 2014)

Egocentric Activity Recognition using Histograms of Oriented Pairwise Relations. - Ardhendu Behera; Matthew Chapman; Anthony G. Cohn 001; David C. Hogg (VISAPP (2), 2014)

Joint Tracking and Event Analysis for Carried Object Detection. - Aryana Tavanai; Muralikrishna Sridhar; Eris Chinellato; Anthony G. Cohn 001; David C. Hogg (BMVC, 2015)

Learning Relational Event Models from Video. - Krishna Sandeep Reddy Dubba; Anthony G. Cohn 001; David C. Hogg; Mehul Bhatt; Frank Dylla (J. Artif. Intell. Res., 2015)

Unsupervised Learning of Qualitative Motion Behaviours by a Mobile Robot. - Paul Duckworth; Yiannis Gatsoulis; Ferdian Jovan; Nick Hawes; David C. Hogg; Anthony G. Cohn 001 (AAMAS, 2016)

Personalizing Human Video Pose Estimation. - James Charles; Tomas Pfister; Derek R. Magee; David C. Hogg; Andrew Zisserman (CVPR, 2016)

Unsupervised Activity Recognition Using Latent Semantic Analysis on a Mobile Robot. - Paul Duckworth; Muhannad Al-Omari; Yiannis Gatsoulis; David C. Hogg; Anthony G. Cohn 001 (ECAI, 2016)

Virtual Immortality: Reanimating Characters from TV Shows. - James Charles; Derek R. Magee; David C. Hogg (ECCV Workshops (3), 2016)

Feature Space Analysis for Human Activity Recognition in Smart Environments. - Eris Chinellato; David C. Hogg; Anthony G. Cohn 001 (Intelligent Environments, 2016)

Unsupervised Grounding of Textual Descriptions of Object Features and Actions in Video. - Muhannad Al-Omari; Eris Chinellato; Yiannis Gatsoulis; David C. Hogg; Anthony G. Cohn 001 (KR, 2016)

Adapting pedestrian detectors to new domains: A comprehensive review. - Kyaw Kyaw Htike; David C. Hogg (Eng. Appl. Artif. Intell., 2016)

Weakly supervised activity analysis with spatio-temporal localisation. - Feng Gu 006; Muralikrishna Sridhar; Anthony G. Cohn 001; David C. Hogg; Francisco Flórez-Revuelta; Dorothy Monekosso; Paolo Remagnino (Neurocomputing, 2016)

Natural Language Acquisition and Grounding for Embodied Robotic Systems. - Muhannad Al-Omari; Paul Duckworth; David C. Hogg; Anthony G. Cohn 001 (AAAI, 2017)

Latent Dirichlet Allocation for Unsupervised Activity Analysis on an Autonomous Mobile Robot. - Paul Duckworth; Muhannad Al-Omari; James Charles; David C. Hogg; Anthony G. Cohn 001 (AAAI, 2017)

Learning of Object Properties, Spatial Relations, and Actions for Embodied Agents from Language and Vision. - Muhannad Al-Omari; Paul Duckworth; David C. Hogg; Anthony G. Cohn 001 (AAAI Spring Symposia, 2017)

Natural Language Grounding and Grammar Induction for Robotic Manipulation Commands. - Muhannad Al-Omari; Paul Duckworth; Majd Hawasly; David C. Hogg; Anthony G. Cohn 001 (RoboNLP@ACL, 2017)

Anomaly Detection using a Convolutional Winner-Take-All Autoencoder. - Hanh Tran; David C. Hogg (BMVC, 2017)

Grounding of Human Environments and Activities for Autonomous Robots. - Muhannad Al-Omari; Paul Duckworth; Nils Bore; Majd Hawasly; David C. Hogg; Anthony G. Cohn 001 (IJCAI, 2017)

CLAD: A Complex and Long Activities Dataset with Rich Crowdsourced Annotations. - Jawad Tayyub; Majd Hawasly; David C. Hogg; Anthony G. Cohn 001 (CoRR, 2017)

The STRANDS Project: Long-Term Autonomy in Everyday Environments. - 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; et al. (IEEE Robotics Autom. Mag., 2017)

Learning Hierarchical Models of Complex Daily Activities from Annotated Videos. - Jawad Tayyub; Majd Hawasly; David C. Hogg; Anthony G. Cohn 001 (WACV, 2018)

One-Shot Observation Learning. - Leo Pauly; Wisdom C. Agboh; Mohamed Abdellatif; David C. Hogg; Raul Fuentes (CoRR, 2018)

A Multi-level Approach for Identifying Process Change in Cancer Pathways. - Angelina Prima Kurniati; Ciarán McInerney; Kieran Zucker; Geoff Hall; David C. Hogg; Owen A. Johnson (Business Process Management Workshops, 2019)

A lattice-based approach for navigating design configuration spaces. - Alison McKay; Hau Hing Chau; Christopher F. Earl; Amar Kumar Behera; Alan de Pennington; David C. Hogg (Adv. Eng. Informatics, 2019)

Unsupervised human activity analysis for intelligent mobile robots. - Paul Duckworth; David C. Hogg; Anthony G. Cohn 001 (Artif. Intell., 2019)

SMART: Skeletal Motion Action Recognition aTtack. - He Wang 002; Feixiang He; Zhexi Peng; Yongliang Yang; Tianjia Shao; Kun Zhou 001; David Hogg 001 (CoRR, 2019)

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. - Angelina Prima Kurniati; Eric Rojas 001; David C. Hogg; Geoff Hall; Owen A. Johnson (Health Informatics J., 2019)

Process Mining on the Extended Event Log to Analyse the System Usage During Healthcare Processes (Case Study: The GP Tab Usage During Chemotherapy Treatments). - Angelina Prima Kurniati; Geoff Hall; David C. Hogg; Owen A. Johnson (ICPM Workshops, 2020)

Understanding the Robustness of Skeleton-Based Action Recognition Under Adversarial Attack. - He Wang 002; Feixiang He; Zhexi Peng; Tianjia Shao; Yong-Liang Yang; Kun Zhou 001; David Hogg 001 (CVPR, 2021)

Process Mining to Explore Variations in Endometrial Cancer Pathways from GP Referral to First Treatment. - Angelina Prima Kurniati; Eric Rojas 001; Kieran Zucker; Geoff Hall; David C. Hogg; Owen A. Johnson (MIE, 2021)

O2A: One-Shot Observational Learning with Action Vectors. - Leo Pauly; Wisdom C. Agboh; David C. Hogg; Raul Fuentes (Frontiers Robotics AI, 2021)

Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation. - Rebecca S. Stone; Nishant Ravikumar; Andrew J. Bulpitt; David C. Hogg (CVPR Workshops, 2022)

Using Graph Representation Learning with Schema Encoders to Measure the Severity of Depressive Symptoms. - Simin Hong; Anthony G. Cohn 001; David Crossland Hogg (ICLR, 2022)

Talking Head from Speech Audio using a Pre-trained Image Generator. - Mohammed M. Alghamdi; He Wang 002; Andrew J. Bulpitt; David C. Hogg (ACM Multimedia, 2022)

Online perceptual learning and natural language acquisition for autonomous robots. - Muhannad Al-Omari; Fangjun Li; David C. Hogg; Anthony G. Cohn 001 (Artif. Intell., 2022)

Moving towards intelligent telemedicine: Computer vision measurement of human movement. - Renjie Li 001; Rebecca J. St George; Xinyi Wang 009; Katherine Lawler; Edward Hill; Saurabh Garg 001; Stefan Williams; Samuel D. Relton; David Hogg 001; Quan Bai 001; Jane E. Alty (Comput. Biol. Medicine, 2022)

Anomaly detection using prediction error with Spatio-Temporal Convolutional LSTM. - Hanh Thi Minh Tran; David Hogg 001 (CoRR, 2022)

Exploring the GLIDE model for Human Action-effect Prediction. - Fangjun Li; David C. Hogg; Anthony G. Cohn 001 (CoRR, 2022)

Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box Attack. - Yunfeng Diao; He Wang 002; Tianjia Shao; Yong-Liang Yang; Kun Zhou 001; David Hogg 001 (CoRR, 2022)

Bayesian Uncertainty-Weighted Loss for Improved Generalisability on Polyp Segmentation Task. - Rebecca S. Stone; Pedro Esteban Chavarrias-Solano; Andrew J. Bulpitt; David C. Hogg; Sharib Ali (CLIP/FAIMI/EPIMI@MICCAI, 2023)

3D Shape Reconstruction of Semi-Transparent Worms. - Thomas P. Ilett; Omer Yuval; Thomas Ranner; Netta Cohen; David C. Hogg (CVPR, 2023)

Self-supervised 3D Human Pose Estimation from a Single Image. - Jose Sosa; David C. Hogg (CVPR Workshops, 2023)

A Horse with no Labels: Self-Supervised Horse Pose Estimation from Unlabelled Images and Synthetic Prior. - Jose Sosa; David C. Hogg (ICCV (Workshops), 2023)

Of Mice and Pose: 2D Mouse Pose Estimation from Unlabelled Data and Synthetic Prior. - Jose Sosa; Sharn Perry; Jane E. Alty; David C. Hogg (ICVS, 2023)

Advancing Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark. - Fangjun Li; David C. Hogg; Anthony G. Cohn 001 (AAAI, 2024)

Reframing Spatial Reasoning Evaluation in Language Models: A Real-World Simulation Benchmark for Qualitative Reasoning. - Fangjun Li; David C. Hogg; Anthony G. Cohn 001 (IJCAI, 2024)

Understanding the vulnerability of skeleton-based Human Activity Recognition via black-box attack. - Yunfeng Diao; He Wang 002; Tianjia Shao; Yongliang Yang; Kun Zhou 001; David C. Hogg; Meng Wang 001 (Pattern Recognit., 2024)

Learning to sculpt neural cityscapes. - Jialin Zhu; He Wang 002; David Hogg 001; Tom Kelly (Vis. Comput., 2025)

Score Before You Speak: Improving Persona Consistency in Dialogue Generation using Response Quality Scores. - Arpita Saggar; Jonathan C. Darling; Vania Dimitrova; Duygu Sarikaya; David C. Hogg (CoRR, 2025)