By Professor Maurice Pagnucco

Conference Papers

Limarga R; Song Y; Pagnucco M; Rajaratnam D, 2024, 'Epistemic Reasoning in Computational Machine Ethics', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 82 - 94, http://dx.doi.org/10.1007/978-981-99-8391-9_7

Wang Y; Pagnucco M; Song Y, 2024, 'Self-training with Domain-Mixed Data for Few-Shot Domain Adaptation in Medical Image Segmentation Tasks', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 299 - 309, http://dx.doi.org/10.1007/978-3-031-45673-2_30

Xu Y; Guo R; Pagnucco M; Song Y, 2023, 'Draw2Edit: Mask-Free Sketch-Guided Image Manipulation', in MM 2023 - Proceedings of the 31st ACM International Conference on Multimedia, pp. 7205 - 7215, http://dx.doi.org/10.1145/3581783.3612398

Huang R; Tompkins A; Pagnucco M; Song Y, 2023, 'Towards Single Source Domain Generalisation in Trajectory Prediction: A Motion Prior based Approach', in Proceedings of Machine Learning Research, McGill University, Montréal, Québec, Canada, pp. 227 - 243, presented at Conference on Lifelong Learning Agents, 22-25 August 2023,, McGill University, Montréal, Québec, Canada, 22 August 2023 - 25 August 2023, https://proceedings.mlr.press/v232/huang23a.html

Gao J; Blair A; Pagnucco M, 2023, 'A Symbolic-Neural Reasoning Model for Visual Question Answering', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN54540.2023.10191538

Qian S; Pagnucco M; Song Y, 2023, 'Adaptive Local Prototype and Cycle Attention for Few-shot Medical Image Segmentation', in 2023 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2023, pp. 49 - 56, http://dx.doi.org/10.1109/DICTA60407.2023.00016

Wan F; Wang J; Duan H; Song Y; Pagnucco M; Long Y, 2023, 'Community-Aware Federated Video Summarization', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN54540.2023.10191101

Huang R; Pagnucco M; Song Y, 2023, 'HyperTraj: Towards Simple and Fast Scene-Compliant Endpoint Conditioned Trajectory Prediction', in IEEE International Conference on Intelligent Robots and Systems, pp. 3208 - 3213, http://dx.doi.org/10.1109/IROS55552.2023.10341647

Huang R; Pagnucco M; Song Y, 2022, 'Analysis of the Over-exposure Problem for Robust Scene Parsing', in 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA), IEEE, presented at 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 30 November 2022 - 02 December 2022, http://dx.doi.org/10.1109/dicta56598.2022.10034628

Xie K; Zhong H; Chang J; Pagnucco M; Song Y, 2022, 'D2E2-Net: Double Deep Edge Enhancement for Weakly-Supervised Cell Nuclei Segmentation with Incomplete Point Annotations', in 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA), IEEE, presented at 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 30 November 2022 - 02 December 2022, http://dx.doi.org/10.1109/dicta56598.2022.10034599

Xie K; Yang Y; Pagnucco M; Song Y, 2022, 'Electron Microscope Image Registration Using Laplacian Sharpening Transformer U-Net', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Singapore, pp. 310 - 319, presented at 25th International Conference, Medical Image Computing and Computer Assisted Intervention, MICCAI 2022, Singapore, 18 September 2022 - 22 September 2022, http://dx.doi.org/10.1007/978-3-031-16446-0_30

Foo G; Kara S; Pagnucco M, 2022, 'Challenges of robotic disassembly in practice', in Procedia CIRP, Leuven, Belgium, pp. 513 - 518, presented at 29th CIRP Life Cycle Engineering Conference, Leuven, Belgium, 04 April 2022, http://dx.doi.org/10.1016/j.procir.2022.02.085

Cong C; Yang Y; Liu S; Pagnucco M; Di Ieva A; Berkovsky S; Song Y, 2022, 'Adaptive Unified Contrastive Learning for Imbalanced Classification', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 348 - 357, http://dx.doi.org/10.1007/978-3-031-21014-3_36

Li P; Yang Y; Pagnucco M; Song Y, 2022, 'CoGNet: Cooperative Graph Neural Networks', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN55064.2022.9892241

Delgrande JP; Sack J; Lakemeyer G; Pagnucco M, 2022, 'Epistemic Logic of Likelihood and Belief', in IJCAI International Joint Conference on Artificial Intelligence, pp. 2599 - 2605

Fan L; Ding Y; Fan D; Di D; Pagnucco M; Song Y, 2022, 'GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 21084 - 21093, http://dx.doi.org/10.1109/CVPR52688.2022.02044

Li L; Pagnucco M; Song Y, 2022, 'Graph-based Spatial Transformer with Memory Replay for Multi-future Pedestrian Trajectory Prediction', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 2221 - 2231, http://dx.doi.org/10.1109/CVPR52688.2022.00227

Cong C; Yang Y; Liu S; Pagnucco M; Song Y, 2022, 'Imbalanced Histopathology Image Classification Using Deep Feature Graph Attention Network', in Proceedings - International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI52829.2022.9761619

Luo S; Heng Z; Pagnucco M; Song Y, 2022, 'Two-Stage Topological Refinement Network for Retinal Artery/Vein Classification', in Proceedings - International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI52829.2022.9761669

Bai Y; Wang J; Long Y; Hu B; Song Y; Pagnucco M; Guan Y, 2021, 'Discriminative Latent Semantic Graph for Video Captioning', in MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia, pp. 3556 - 3564, http://dx.doi.org/10.1145/3474085.3475519

Pagnucco M; Rajaratnam D; Limarga R; Nayak A; Song Y, 2021, 'Epistemic Reasoning for Machine Ethics with Situation Calculus', in AIES 2021 - Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, pp. 814 - 821, http://dx.doi.org/10.1145/3461702.3462586

Lin H; Pagnucco M; Song Y, 2021, 'Edge guided progressively generative image outpainting', in IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 806 - 815, http://dx.doi.org/10.1109/CVPRW53098.2021.00090

Cong C; Liu S; Ieva AD; Pagnucco M; Berkovsky S; Song Y, 2021, 'Texture enhanced generative adversarial network for stain normalisation in histopathology images', in Proceedings - International Symposium on Biomedical Imaging, pp. 1949 - 1952, http://dx.doi.org/10.1109/ISBI48211.2021.9433860

Foo G; Kara S; Pagnucco M, 2021, 'Screw detection for disassembly of electronic waste using reasoning and re-training of a deep learning model', in Procedia CIRP, pp. 666 - 671, http://dx.doi.org/10.1016/j.procir.2021.01.172

Cong C; Yang Z; Song Y; Pagnucco M, 2020, 'Towards Enforcing Social Distancing Regulations with Occlusion-Aware Crowd Detection', in 16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020, pp. 297 - 302, http://dx.doi.org/10.1109/ICARCV50220.2020.9305507

Xiao Y; Silvera D; Pagnucco M, 2020, 'Autonomous Behaviour Planning for Socially-Assistive Robots in Therapy and Education', Australia, presented at Australasian Conference on Robotics and Automation, Australia, 08 December 2020

Huang R; Song Y; Pagnucco M, 2020, 'An Improved Discriminator for GAN-Based Trajectory Prediction Models', in 2020 Digital Image Computing: Techniques and Applications, DICTA 2020, http://dx.doi.org/10.1109/DICTA51227.2020.9363414

Limarga R; Pagnucco M; Song Y; Nayak A, 2020, 'Non-monotonic Reasoning for Machine Ethics with Situation Calculus', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 203 - 215, http://dx.doi.org/10.1007/978-3-030-64984-5_16

Trofimova A; Wiley T; Pagnucco M; Velonaki M, 2019, 'Exploring human machine-mediated interaction for applications in social HRI', in ACM International Conference Proceeding Series, pp. 347 - 351, http://dx.doi.org/10.1145/3369457.3369492

Schwering C; Pagnucco M, 2019, 'A representation theorem for reasoning in first-order multi-agent knowledge bases', in Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, Montreal, Canada, pp. 926 - 934, presented at AAMAS, Montreal, Canada, 13 May 2019 - 17 May 2019

Rajaratnam D; Hengst B; Pagnucco M; Sammut C; Thielscher M, 2016, 'Composability in cognitive hierarchies', in Kang BH; Bai Q (ed.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Nature, Hobart, TAS, Australia, pp. 42 - 55, presented at 29th Australasian Joint Conference, Hobart, TAS, Australia, 05 December 2016 - 08 December 2016, http://dx.doi.org/10.1007/978-3-319-50127-7_4

hengst B; Marcus N; pagnucco M; Rajaratnam D; sammut C; Thielscher M, 2016, 'Towards Autonomous Adaptation and Trust.', Daejeon, Korea, presented at IEEE/RSJ International Conference on Intelligent Robots and Systems, Daejeon, Korea, 09 October 2016 - 14 October 2016

Hengst B; Keith C; Pagnucco M; Rajaratnam D; Robinson P; sammut C; Thielscher M, 2016, 'A Framework for Integrating Symbolic and Sub-symbolic Representations', in Kambhampati S (ed.), IJCAI International Joint Conference on Artificial Intelligence, IJCAI/AAAI Press, New York, New York, USA, pp. 2486 - 2492, presented at 25th International Joint Conference on Artificial Intelligence IJCAI-16, New York, New York, USA, 09 July 2016 - 15 July 2016, http://www.ijcai.org/Proceedings/2016

Rezvani M; Ignjatovic A; Pagnucco M; Jha S, 2016, 'Anomaly-free policy composition in software-defined networks', in 2016 IFIP Networking Conference (IFIP Networking) and Workshops, IFIP Networking 2016, vienna, pp. 28 - 36, presented at 2016 IFIP Networking Conference, vienna, 17 May 2016 - 19 May 2016, http://dx.doi.org/10.1109/IFIPNetworking.2016.7497226

Vongbunyong S; Kara S; Pagnucco M, 2015, 'General plans for removing main components in cognitive robotic disassembly automation', in ICARA 2015 - Proceedings of the 2015 6th International Conference on Automation, Robotics and Applications, pp. 501 - 506, http://dx.doi.org/10.1109/ICARA.2015.7081199

Harris S; Hengst B; Pagnucco M, 2015, 'Termination approximation: Continuous state decomposition for hierarchical reinforcement learning', in AAAI Workshop - Technical Report, Austin, Texas, pp. 16 - 22, presented at Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence, Austin, Texas, 25 January 2015 - 30 January 2015, http://www.aaai.org/ocs/index.php/WS/AAAIW15/paper/view/10114/10205

Schwering C; Lakemeyer G; Pagnucco M, 2015, 'Belief revision and progression of knowledge bases in the epistemic situation calculus', in IJCAI International Joint Conference on Artificial Intelligence, pp. 3214 - 3220

Ashar J; Ashmore J; Hall B; Harris S; Hengst B; Liu R; Mei Z; Pagnucco M; Roy R; Sammut C; Sushkov O; Teh B; Tsekouras L, 2015, 'RoboCup SPL 2014 champion team paper', in Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), pp. 70 - 81, http://dx.doi.org/10.1007/978-3-319-18615-3_6

Hall B; Harris S; Hengst B; Liu R; Ng K; Pagnucco M; Pearson L; Sammut C; Schmidt P, 2015, 'Robocup SPL 2015 champion team paper', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 72 - 82, http://dx.doi.org/10.1007/978-3-319-29339-4_6

Pagnucco M; Buehler J, 2014, 'Planning and Execution of Robot Tasks Based on a Platform-Independent Model of Robot Capabilities', in Schaub T; Friedrich G; O'Sullivan B (eds.), Proceedings of the the 21st European Conference on Artificial Intelligence, IOS Press, Amsterdam, The Netherlands, presented at European Conference on Artificial Intelligence, Amsterdam, The Netherlands, 18 August 2014 - 22 August 2014

Rajaratnam D; Levesque HJ; Pagnucco M; Thielscher M, 2014, 'Forgetting in Action', in Baral C; De Giacomo G (ed.), Principles of Knowledge Representation and Reasoning: Proceedings of the Fourteenth International Conference, AAAI Press, Vienna, Austria, presented at 14th International Conference on Principles of Knowledge Representation and Reasoning, Vienna, Austria, 20 July 2014 - 24 July 2014, http://www.aaai.org/Press/press.php

Buehler J; Pagnucco M, 2014, 'A framework for task planning in heterogeneous multi robot systems based on robot capabilities', in Proceedings of the National Conference on Artificial Intelligence, pp. 2527 - 2533

Heap B; Pagnucco M, 2014, 'Minimising undesired task costs in multi-robot task allocation problems with in-schedule dependencies', in Proceedings of the National Conference on Artificial Intelligence, pp. 2542 - 2548

Heap B; Pagnucco M, 2013, 'Repeated auctions for reallocation of tasks with pickup and delivery upon robot failure', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Dunedin, New Zealand, pp. 461 - 469, presented at 16th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA), Dunedin, New Zealand, 01 December 2013 - 06 December 2013, http://dx.doi.org/10.1007/978-3-642-44927-7_35

Zhuang Z; Pagnucco M; Zhang Y, 2013, 'Definability of Horn revision from Horn contraction', in IJCAI International Joint Conference on Artificial Intelligence, pp. 1205 - 1211

Heap B; Pagnucco M, 2013, 'Repeated sequential single-cluster auctions with dynamic tasks for multi-robot task allocation with pickup and delivery', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Koblenz, Germany, pp. 87 - 100, presented at 11th German Conference on Multiagent System Technologies (MATES), Koblenz, Germany, 16 September 2013 - 20 September 2013, http://dx.doi.org/10.1007/978-3-642-40776-5-10

Pagnucco M; Rajaratnam DP; Strass H; Thielscher M, 2013, 'Implementing Belief Change in the Situation Calculus and an Application', in Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence, Corunna, presented at 12th International Conference on Logic Programming and Nonmonotonic Reasoning, Corunna, 15 September 2013 - 19 September 2013, http://dx.doi.org/10.1007/978-3-642-40564-8_44

Rajaratnam ; Levesque HJ; Pagnucco ; Thielscher , 2013, 'Reasoning about Robot Epistemic Ability to Use the Cloud', in Ji, J ; Strass H; Wang X (eds.), Nonmontonic Reasoning, Action and Change, Proceedings of the Tenth International Workshop, International Workshop on Nonmonotonic, Reasoning, Action and Change, Beijing, China, pp. 37 - 44, presented at International Workshop on Nonmonotonic, Reasoning, Action and Change, Beijing, China, 05 August 2013 - 05 August 2013

Heap B; Pagnucco M, 2012, 'Analysis of Cluster Formation Techniques for Multi-Robot Task Allocation using Sequential Single-Cluster Auctions', in AI-2012: Advances in Artificial Intelligence. LNCS v. 7691, Springer-Verlag, Berlin Heidelberg, pp. 839 - 850, presented at 25th Australasian Joint Conference on Artificial Intelligence, Sydney, Australia, 04 December 2012 - 07 December 2012

Heap B; Pagnucco M, 2012, 'Repeated Sequential Auctions with Dynamic Task Clusters', in Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, AAAI Press, Toronto, Canada, pp. 1997 - 2002, presented at Twenty-Sixth Conference on Artificial Intelligence (AAAI-12), Toronto, Canada, 22 July 2012 - 26 July 2012

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