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ORCIDFabio Cuzzolin
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- affiliation: Oxford Brookes University, UK
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2020 – today
- 2025
[j33]Wojtek Buczynski, Felix Steffek, Mateja Jamnik, Fabio Cuzzolin, Barbara J. Sahakian:
Future themes in regulating artificial intelligence in investment management. Comput. Law Secur. Rev. 56: 106111 (2025)- [j32]Fabio Cuzzolin
:
Uncertainty measures: A critical survey. Inf. Fusion 114: 102609 (2025) - [j31]Kaizheng Wang, Keivan Shariatmadar, Shireen Kudukkil Manchingal, Fabio Cuzzolin, David Moens, Hans Hallez:
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks. Neural Networks 185: 107198 (2025) - [j30]Izzeddin Teeti, Aniket Thomas, Munish Monga, Sachin Kumar Giroh, Uddeshya Singh, Andrew Bradley, Biplab Banerjee, Fabio Cuzzolin:
ASTRA: A Scene-aware Transformer-based Model for Trajectory Prediction. Trans. Mach. Learn. Res. 2025 (2025) - [j29]Yanwei Pang, Fahad Shahbaz Khan, Xin Lu, Fabio Cuzzolin:
Guest Editorial Special Issue on Effective Feature Fusion in Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 36(3): 3886-3889 (2025) - [c64]Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang, Fabio Cuzzolin:
A Unified Evaluation Framework for Epistemic Predictions. AISTATS 2025: 2017-2025 - [c63]Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang, Keivan Shariatmadar, Fabio Cuzzolin:
Random-Set Neural Networks. ICLR 2025 - [c62]Kaizheng Wang, Fabio Cuzzolin, Keivan Shariatmadar, David Moens, Hans Hallez:
Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification. ICLR 2025 - [i56]Izzeddin Teeti, Aniket Thomas, Munish Monga, Sachin Kumar Giroh, Uddeshya Singh, Andrew Bradley, Biplab Banerjee, Fabio Cuzzolin:
ASTRA: A Scene-aware TRAnsformer-based model for trajectory prediction. CoRR abs/2501.09878 (2025) - [i55]Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang, Fabio Cuzzolin:
A Unified Evaluation Framework for Epistemic Predictions. CoRR abs/2501.16912 (2025) - [i54]Keivan Shariatmadar, Neil Yorke-Smith, Ahmad Osman, Fabio Cuzzolin, Hans Hallez, David Moens:
Generalized Decision Focused Learning under Imprecise Uncertainty-Theoretical Study. CoRR abs/2502.17984 (2025) - [i53]Muhammad Mubashar, Shireen Kudukkil Manchingal, Fabio Cuzzolin:
Random-Set Large Language Models. CoRR abs/2504.18085 (2025) - [i52]Maryam Sultana, Neil Yorke-Smith, Kaizheng Wang, Shireen Kudukkil Manchingal, Muhammad Mubashar, Fabio Cuzzolin:
Epistemic Wrapping for Uncertainty Quantification. CoRR abs/2505.02277 (2025) - [i51]Mouad Abrini, Omri Abend, Dina M. Acklin, Henny Admoni, Gregor Aichinger, Nitay Alon, Zahra Ashktorab, Ashish Atreja, Moises Auron, Alexander Aufreiter, Raghav Awasthi, Soumya Banerjee, Joseph M. Barnby, Rhea Basappa, Severin Bergsmann, Djallel Bouneffouf, Patrick Callaghan, Marc Cavazza, Thierry Chaminade, Sonia Chernova, Mohamed Chetouani, Moumita Choudhury, Axel Cleeremans, Jacek B. Cywinski, Fabio Cuzzolin, Hokin Deng, N'yoma Diamond, Camilla Di Pasquasio, Guillaume Dumas, Max J. van Duijn, Mahapatra Dwarikanath, Qingying Gao, Ashok K. Goel, Rebecca Goldstein, Matthew C. Gombolay, Gabriel Enrique Gonzalez, Amar Halilovic, Tobias Halmdienst, Mahimul Islam, Julian Jara-Ettinger, Natalie Kastel, Renana Keydar, Ashish K. Khanna, Mahdi Khoramshahi, JiHyun Kim, MiHyeon Kim, YoungBin Kim, Senka Krivic, Nikita Krasnytskyi, Arun Kumar, JuneHyoung Kwon, Eunju Lee, Shane Lee, Peter R. Lewis, Xue Li, Yijiang Li, Michal Lewandowski, Nathan Lloyd, Matthew B. Luebbers, Dezhi Luo, Haiyun Lyu, Dwarikanath Mahapatra, Kamal Maheshwari, Mallika Mainali, Piyush Mathur, Patrick Mederitsch, Shuwa Miura, Manuel Preston de Miranda, Reuth Mirsky, Shreya Mishra, Nina Moorman, Katelyn Morrison, John Muchovej, Bernhard Nessler, Felix Nessler, Hieu Minh Jord Nguyen, Abby Ortego, Francis A. Papay, Antoine Pasquali, Hamed Rahimi, Charumathi Raghu, Amanda L. Royka, Stefan Sarkadi, Jaelle Scheuerman, Simon Schmid, Paul Schrater, Anik Sen, Zahra Sheikhbahaee, Ke Shi, Reid G. Simmons, Nishant Singh, Mason O. Smith, Ramira van der Meulen, Anthia Solaki, Haoran Sun, Viktor Szolga, Matthew E. Taylor, Travis Taylor, Sanne van Waveren, Juan David Vargas:
Proceedings of 1st Workshop on Advancing Artificial Intelligence through Theory of Mind. CoRR abs/2505.03770 (2025) - [i50]Shireen Kudukkil Manchingal, Fabio Cuzzolin:
Position: Epistemic Artificial Intelligence is Essential for Machine Learning Models to Know When They Do Not Know. CoRR abs/2505.04950 (2025) - 2024
- [j28]Vivek Singh Bawa, Shailza Sharma, Fabio Cuzzolin:
Feature boosting with efficient attention for scene parsing. Neurocomputing 601: 128222 (2024) - [c61]Michele Caprio, Maryam Sultana, Eleni Elia, Fabio Cuzzolin:
Credal Learning Theory. NeurIPS 2024 - [c60]Kaizheng Wang, Fabio Cuzzolin, Shireen Kudukkil Manchingal, Keivan Shariatmadar, David Moens, Hans Hallez:
Credal Deep Ensembles for Uncertainty Quantification. NeurIPS 2024 - [c59]Salman Khan, Izzeddin Teeti, Andrew Bradley, Mohamed Elhoseiny, Fabio Cuzzolin:
A Hybrid Graph Network for Complex Activity Detection in Video. WACV 2024: 6748-6758 - [e4]Fabio Cuzzolin, Maryam Sultana:
Epistemic Uncertainty in Artificial Intelligence - First International Workshop, Epi UAI 2023, Pittsburgh, PA, USA, August 4, 2023, Revised Selected Papers. Lecture Notes in Computer Science 14523, Springer 2024, ISBN 978-3-031-57962-2 [contents] - [i49]Kaizheng Wang, Keivan Shariatmadar, Shireen Kudukkil Manchingal, Fabio Cuzzolin, David Moens, Hans Hallez:
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks. CoRR abs/2401.05043 (2024) - [i48]Fabio Cuzzolin:
Reasoning with random sets: An agenda for the future. CoRR abs/2401.09435 (2024) - [i47]Michele Caprio, Maryam Sultana, Eleni Elia, Fabio Cuzzolin:
Credal Learning Theory. CoRR abs/2402.00957 (2024) - [i46]Fabio Cuzzolin:
Generalising realisability in statistical learning theory under epistemic uncertainty. CoRR abs/2402.14759 (2024) - [i45]Vivek Singh Bawa, Shailza Sharma, Fabio Cuzzolin:
Feature boosting with efficient attention for scene parsing. CoRR abs/2402.19250 (2024) - [i44]Kaizheng Wang, Fabio Cuzzolin, Keivan Shariatmadar, David Moens, Hans Hallez:
Credal Wrapper of Model Averaging for Uncertainty Estimation on Out-Of-Distribution Detection. CoRR abs/2405.15047 (2024) - [i43]Salman Khan, Izzeddin Teeti, Reza Javanmard Alitappeh, Mihaela C. Stoian, Eleonora Giunchiglia, Gurkirt Singh, Andrew Bradley, Fabio Cuzzolin:
ROAD-Waymo: Action Awareness at Scale for Autonomous Driving. CoRR abs/2411.01683 (2024) - [i42]Jack Belham, Aryan Bhosale, Samrat Mukherjee, Biplab Banerjee, Fabio Cuzzolin:
Deep evolving semi-supervised anomaly detection. CoRR abs/2412.00860 (2024) - [i41]Aryan Bhosale, Samrat Mukherjee, Biplab Banerjee, Fabio Cuzzolin:
Anomaly detection using Diffusion-based methods. CoRR abs/2412.07539 (2024) - 2023
- [j27]Eleonora Giunchiglia, Mihaela Catalina Stoian, Salman Khan, Fabio Cuzzolin, Thomas Lukasiewicz:
ROAD-R: the autonomous driving dataset with logical requirements. Mach. Learn. 112(9): 3261-3291 (2023) - [j26]Gurkirt Singh, Stephen Akrigg, Manuele Di Maio, Valentina Fontana, Reza Javanmard Alitappeh, Salman Khan, Suman Saha, Kossar Jeddi Saravi, Farzad Yousefi, Jacob Culley, Tom Nicholson, Jordan Omokeowa, Stanislao Grazioso, Andrew Bradley, Giuseppe Di Gironimo, Fabio Cuzzolin:
ROAD: The Road Event Awareness Dataset for Autonomous Driving. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 1036-1054 (2023) - [c58]Izzeddin Teeti, Rongali Sai Bhargav, Vivek Singh, Andrew Bradley, Biplab Banerjee, Fabio Cuzzolin:
Temporal DINO: A Self-supervised Video Strategy to Enhance Action Prediction. ICCV (Workshops) 2023: 3273-3283 - [i40]Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang, Keivan Shariatmadar, Fabio Cuzzolin:
Random-Set Convolutional Neural Network (RS-CNN) for Epistemic Deep Learning. CoRR abs/2307.05772 (2023) - [i39]Izzeddin Teeti, Rongali Sai Bhargav, Vivek Singh, Andrew Bradley, Biplab Banerjee, Fabio Cuzzolin:
Temporal DINO: A Self-supervised Video Strategy to Enhance Action Prediction. CoRR abs/2308.04589 (2023) - [i38]Salman Khan, Izzeddin Teeti, Andrew Bradley, Mohamed Elhoseiny, Fabio Cuzzolin:
A Hybrid Graph Network for Complex Activity Detection in Video. CoRR abs/2310.17493 (2023) - 2022
- [j25]Christelle Langley, Bogdan-Ionut Cirstea, Fabio Cuzzolin, Barbara J. Sahakian:
Theory of Mind and Preference Learning at the Interface of Cognitive Science, Neuroscience, and AI: A Review. Frontiers Artif. Intell. 5: 778852 (2022) - [j24]Christelle Langley, Bogdan-Ionut Cirstea, Fabio Cuzzolin, Barbara J. Sahakian:
Editorial: Theory of Mind in Humans and in Machines. Frontiers Artif. Intell. 5: 917565 (2022) - [j23]Fath U Min Ullah, Mohammad S. Obaidat, Khan Muhammad, Amin Ullah, Sung Wook Baik, Fabio Cuzzolin, Joel J. P. C. Rodrigues, Victor Hugo C. de Albuquerque:
An intelligent system for complex violence pattern analysis and detection. Int. J. Intell. Syst. 37(12): 10400-10422 (2022) - [c57]Izzeddin Teeti, Salman Khan, Ajmal Shahbaz, Andrew Bradley, Fabio Cuzzolin:
Vision-based Intention and Trajectory Prediction in Autonomous Vehicles: A Survey. IJCAI 2022: 5630-5637 - [c56]Aishwarya Agarwal, Biplab Banerjee, Fabio Cuzzolin, Subhasis Chaudhuri:
Semantics-Driven Generative Replay for Few-Shot Class Incremental Learning. ACM Multimedia 2022: 5246-5254 - [e3]Fabio Cuzzolin, Kevin Cannons, Vincenzo Lomonaco:
Continual Semi-Supervised Learning - First International Workshop, CSSL 2021, Virtual Event, August 19-20, 2021, Revised Selected Papers. Lecture Notes in Computer Science 13418, Springer 2022, ISBN 978-3-031-17586-2 [contents] - [i37]Fabio Cuzzolin:
The intersection probability: betting with probability intervals. CoRR abs/2201.01729 (2022) - [i36]Izzeddin Teeti, Valentina Musat, Salman Khan, Alexander Rast, Fabio Cuzzolin, Andrew Bradley:
Vision in adverse weather: Augmentation using CycleGANs with various object detectors for robust perception in autonomous racing. CoRR abs/2201.03246 (2022) - [i35]Shireen Kudukkil Manchingal, Fabio Cuzzolin:
Epistemic Deep Learning. CoRR abs/2206.07609 (2022) - [i34]Tochukwu Onyeogulu, Salman Khan, Izzeddin Teeti, Amirul Islam, Kaizhe Jin, Adrian Rubio-Solis, Ravi Naik, George P. Mylonas, Fabio Cuzzolin:
Situation Awareness for Automated Surgical Check-listing in AI-Assisted Operating Room. CoRR abs/2209.05056 (2022) - [i33]Kaizhe Jin, Adrian Rubio-Solis, Ravi Naik, Tochukwu Onyeogulu, Amirul Islam, Salman Khan, Izzeddin Teeti, James Kinross, Daniel R. Leff, Fabio Cuzzolin, George P. Mylonas:
Identification of Cognitive Workload during Surgical Tasks with Multimodal Deep Learning. CoRR abs/2209.06208 (2022) - [i32]Eleonora Giunchiglia, Mihaela Catalina Stoian, Salman Khan, Fabio Cuzzolin, Thomas Lukasiewicz:
ROAD-R: The Autonomous Driving Dataset with Logical Requirements. CoRR abs/2210.01597 (2022) - 2021
- [b1]Fabio Cuzzolin:
The Geometry of Uncertainty - The Geometry of Imprecise Probabilities. Artificial Intelligence: Foundations, Theory, and Algorithms, Springer 2021, ISBN 978-3-030-63152-9, pp. 1-728 - [j22]Salman Khan, Khan Muhammad, Tanveer Hussain, Javier Del Ser, Fabio Cuzzolin, Siddhartha Bhattacharyya, Zahid Akhtar, Victor Hugo C. de Albuquerque:
DeepSmoke: Deep learning model for smoke detection and segmentation in outdoor environments. Expert Syst. Appl. 182: 115125 (2021) - [j21]Wojtek Buczynski, Fabio Cuzzolin, Barbara J. Sahakian:
A review of machine learning experiments in equity investment decision-making: why most published research findings do not live up to their promise in real life. Int. J. Data Sci. Anal. 11(3): 221-242 (2021) - [j20]R. Dinesh Jackson Samuel, Fabio Cuzzolin:
Unsupervised Anomaly Detection for a Smart Autonomous Robotic Assistant Surgeon (SARAS) Using a Deep Residual Autoencoder. IEEE Robotics Autom. Lett. 6(4): 7256-7261 (2021) - [c55]Salman Khan, Fabio Cuzzolin:
Spatiotemporal Deformable Scene Graphs for Complex Activity Detection. BMVC 2021: 278 - [c54]R. Dinesh Jackson Samuel, Fabio Cuzzolin:
SVD-GAN for Real-Time Unsupervised Video Anomaly Detection. BMVC 2021: 309 - [c53]Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Ahmad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni:
Avalanche: An End-to-End Library for Continual Learning. CVPR Workshops 2021: 3600-3610 - [c52]Valentina Musat, Ivan Fursa, Paul Newman, Fabio Cuzzolin, Andrew Bradley:
Multi-weather city: Adverse weather stacking for autonomous driving. ICCVW 2021: 2906-2915 - [c51]Ajmal Shahbaz, Salman Khan, Mohammad Asiful Hossain, Vincenzo Lomonaco, Kevin Cannons, Zhan Xu, Fabio Cuzzolin:
International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines. CSSL 2021: 1-14 - [i31]Gurkirt Singh, Stephen Akrigg, Manuele Di Maio, Valentina Fontana, Reza Javanmard Alitappeh, Suman Saha, Kossar Jeddi Saravi, Farzad Yousefi, Jacob Culley, Tom Nicholson, Jordan Omokeowa, Salman Khan, Stanislao Grazioso, Andrew Bradley, Giuseppe Di Gironimo, Fabio Cuzzolin:
ROAD: The ROad event Awareness Dataset for Autonomous Driving. CoRR abs/2102.11585 (2021) - [i30]Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni:
Avalanche: an End-to-End Library for Continual Learning. CoRR abs/2104.00405 (2021) - [i29]Vivek Singh Bawa, Gurkirt Singh, Francis Kaping'a, Inna Skarga-Bandurova, Elettra Oleari, Alice Leporini, Carmela Landolfo, Pengfei Zhao, Xi Xiang, Gongning Luo, Kuanquan Wang, Liangzhi Li, Bowen Wang, Shang Zhao, Li Li, Armando Stabile, Francesco Setti, Riccardo Muradore, Fabio Cuzzolin:
The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods. CoRR abs/2104.03178 (2021) - [i28]Fabio Cuzzolin:
Uncertainty measures: The big picture. CoRR abs/2104.06839 (2021) - [i27]Salman Khan, Fabio Cuzzolin:
Spatiotemporal Deformable Models for Long-Term Complex Activity Detection. CoRR abs/2104.08194 (2021) - [i26]Fabio Cuzzolin:
A geometric approach to conditioning belief functions. CoRR abs/2104.10651 (2021) - [i25]R. Dinesh Jackson Samuel, Fabio Cuzzolin:
Unsupervised anomaly detection for a Smart Autonomous Robotic Assistant Surgeon (SARAS)using a deep residual autoencoder. CoRR abs/2104.11008 (2021) - [i24]Ajmal Shahbaz, Salman Khan, Mohammad Asiful Hossain, Vincenzo Lomonaco, Kevin Cannons, Zhan Xu, Fabio Cuzzolin:
International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines. CoRR abs/2110.14613 (2021) - [i23]Aduen Benjumea, Izzeddin Teeti, Fabio Cuzzolin, Andrew Bradley:
YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehicles. CoRR abs/2112.11798 (2021) - 2020
- [j19]Zhun-ga Liu, Yu Liu, Jean Dezert, Fabio Cuzzolin:
Evidence Combination Based on Credal Belief Redistribution for Pattern Classification. IEEE Trans. Fuzzy Syst. 28(4): 618-631 (2020) - [c50]Mohammad Asiful Hossain, Kevin Cannons, Daesik Jang, Fabio Cuzzolin, Zhan Xu:
Video-Based Crowd Counting Using a Multi-scale Optical Flow Pyramid Network. ACCV (5) 2020: 3-20 - [c49]Omkar Gune, Biplab Banerjee, Subhasis Chaudhuri, Fabio Cuzzolin:
Generalized Zero-Shot Learning using Generated Proxy Unseen Samples and Entropy Separation. ACM Multimedia 2020: 4262-4270 - [c48]Inna Skarga-Bandurova, Rostyslav Siriak, Tetiana Biloborodova, Fabio Cuzzolin, Vivek Singh Bawa, Mohamed Ibrahim Mohamed, R. Dinesh Jackson Samuel:
Surgical Hand Gesture Prediction for the Operating Room. pHealth 2020: 97-103 - [i22]Suman Saha, Gurkirt Singh, Fabio Cuzzolin:
Two-Stream AMTnet for Action Detection. CoRR abs/2004.01494 (2020) - [i21]Neha Bhargava, Fabio Cuzzolin:
Challenges and Opportunities for Computer Vision in Real-life Soccer Analytics. CoRR abs/2004.06180 (2020) - [i20]Vivek Singh Bawa, Gurkirt Singh, Francis Kaping'a, Inna Skarga-Bandurova, Alice Leporini, Carmela Landolfo, Armando Stabile, Francesco Setti, Riccardo Muradore, Elettra Oleari, Fabio Cuzzolin:
ESAD: Endoscopic Surgeon Action Detection Dataset. CoRR abs/2006.07164 (2020) - [i19]Diana Mateus, Radu Horaud, David Knossow, Fabio Cuzzolin, Edmond Boyer:
Articulated Shape Matching Using Laplacian Eigenfunctions and Unsupervised Point Registration. CoRR abs/2012.07340 (2020)
2010 – 2019
- 2019
- [c47]Hong Zhu, Dongmei Liu, Ian Bayley, Rachel Harrison, Fabio Cuzzolin:
Datamorphic Testing: A Method for Testing Intelligent Applications. AITest 2019: 149-156 - [c46]Gurkirt Singh, Fabio Cuzzolin:
Recurrent Convolutions for Causal 3D CNNs. ICCV Workshops 2019: 1456-1465 - [c45]Silvio Olivastri, Gurkirt Singh, Fabio Cuzzolin:
End-to-End Video Captioning. ICCV Workshops 2019: 1474-1482 - [i18]Silvio Olivastri, Gurkirt Singh, Fabio Cuzzolin:
An End-to-End Baseline for Video Captioning. CoRR abs/1904.02628 (2019) - [i17]Kurt Degiorgio, Fabio Cuzzolin:
Spatio-Temporal Action Localization in a Weakly Supervised Setting. CoRR abs/1905.02171 (2019) - [i16]Hong Zhu, Dongmei Liu, Ian Bayley, Rachel Harrison, Fabio Cuzzolin:
Datamorphic Testing: A Methodology for Testing AI Applications. CoRR abs/1912.04900 (2019) - 2018
- [j18]Wenjuan Gong, Fabio Cuzzolin:
A Belief-Theoretical Approach to Example-Based Pose Estimation. IEEE Trans. Fuzzy Syst. 26(2): 598-611 (2018) - [c44]Gurkirt Singh, Suman Saha, Fabio Cuzzolin:
TraMNet - Transition Matrix Network for Efficient Action Tube Proposals. ACCV (6) 2018: 420-437 - [c43]Fabio Cuzzolin:
Generalised Max Entropy Classifiers. BELIEF 2018: 39-47 - [c42]Fabio Cuzzolin:
General Geometry of Belief Function Combination. BELIEF 2018: 48-56 - [c41]Harkirat S. Behl, Michael Sapienza, Gurkirt Singh, Suman Saha, Fabio Cuzzolin, Philip H. S. Torr:
Incremental Tube Construction for Human Action Detection. BMVC 2018: 60 - [c40]Gurkirt Singh, Suman Saha, Fabio Cuzzolin:
Predicting Action Tubes. ECCV Workshops (3) 2018: 106-123 - [e2]Sébastien Destercke, Thierry Denoeux, Fabio Cuzzolin, Arnaud Martin:
Belief Functions: Theory and Applications - 5th International Conference, BELIEF 2018, Compiègne, France, September 17-21, 2018, Proceedings. Lecture Notes in Computer Science 11069, Springer 2018, ISBN 978-3-319-99382-9 [contents] - [i15]Valentina Fontana, Gurkirt Singh, Stephen Akrigg, Manuele Di Maio, Suman Saha, Fabio Cuzzolin:
Action Detection from a Robot-Car Perspective. CoRR abs/1807.11332 (2018) - [i14]Gurkirt Singh, Suman Saha, Fabio Cuzzolin:
TraMNet - Transition Matrix Network for Efficient Action Tube Proposals. CoRR abs/1808.00297 (2018) - [i13]Fabio Cuzzolin:
Belief likelihood function for generalised logistic regression. CoRR abs/1808.02560 (2018) - [i12]Gurkirt Singh, Suman Saha, Fabio Cuzzolin:
Predicting Action Tubes. CoRR abs/1808.07712 (2018) - [i11]Fabio Cuzzolin:
Visions of a generalized probability theory. CoRR abs/1810.10341 (2018) - [i10]Gurkirt Singh, Fabio Cuzzolin:
Recurrence to the Rescue: Towards Causal Spatiotemporal Representations. CoRR abs/1811.07157 (2018) - 2017
- [j17]Rocco De Rosa, Ilaria Gori, Fabio Cuzzolin, Nicolò Cesa-Bianchi:
Active Incremental Recognition of Human Activities in a Streaming Context. Pattern Recognit. Lett. 99: 48-56 (2017) - [c39]Gurkirt Singh, Suman Saha, Michael Sapienza, Philip H. S. Torr, Fabio Cuzzolin:
Online Real-Time Multiple Spatiotemporal Action Localisation and Prediction. ICCV 2017: 3657-3666 - [c38]Suman Saha, Gurkirt Singh, Fabio Cuzzolin:
AMTnet: Action-Micro-Tube Regression by End-to-end Trainable Deep Architecture. ICCV 2017: 4424-4433 - [c37]Chunlai Zhou, Fabio Cuzzolin:
The Total Belief Theorem. UAI 2017 - [i9]Harkirat S. Behl, Michael Sapienza, Gurkirt Singh, Suman Saha, Fabio Cuzzolin, Philip H. S. Torr:
Incremental Tube Construction for Human Action Detection. CoRR abs/1704.01358 (2017) - [i8]Suman Saha, Gurkirt Singh, Fabio Cuzzolin:
AMTnet: Action-Micro-Tube regression by end-to-end trainable deep architecture. CoRR abs/1704.04952 (2017) - [i7]Suman Saha, Gurkirt Singh, Michael Sapienza, Philip H. S. Torr, Fabio Cuzzolin:
Spatio-temporal human action localisation and instance segmentation in temporally untrimmed videos. CoRR abs/1707.07213 (2017) - 2016
- [j16]Fabio Cuzzolin:
Belief functions: Theory and applications (BELIEF 2014). Int. J. Approx. Reason. 72: 1-3 (2016) - [c36]Suman Saha, Gurkirt Singh, Michael Sapienza, Philip H. S. Torr, Fabio Cuzzolin:
Deep Learning for Detecting Multiple Space-Time Action Tubes in Videos. BMVC 2016 - [c35]Cristian Roman, Michael Sapienza, Peter Ball, Shumao Ou, Fabio Cuzzolin, Philip H. S. Torr:
Heterogeneous wireless system testbed for remote image processing in automated vehicles. CSNDSP 2016: 1-5 - [i6]Rocco De Rosa, Ilaria Gori, Fabio Cuzzolin, Barbara Caputo, Nicolò Cesa-Bianchi:
Active Learning for Online Recognition of Human Activities from Streaming Videos. CoRR abs/1604.02855 (2016) - [i5]Gurkirt Singh, Fabio Cuzzolin:
Untrimmed Video Classification for Activity Detection: submission to ActivityNet Challenge. CoRR abs/1607.01979 (2016) - [i4]Suman Saha, Gurkirt Singh, Michael Sapienza, Philip H. S. Torr, Fabio Cuzzolin:
Deep Learning for Detecting Multiple Space-Time Action Tubes in Videos. CoRR abs/1608.01529 (2016) - 2015
- [j15]Alessandro Antonucci, Rocco De Rosa, Alessandro Giusti, Fabio Cuzzolin:
Robust classification of multivariate time series by imprecise hidden Markov models. Int. J. Approx. Reason. 56: 249-263 (2015) - [j14]Fabio Cuzzolin, Diana Mateus, Radu Horaud:
Robust Temporally Coherent Laplacian Protrusion Segmentation of 3D Articulated Bodies. Int. J. Comput. Vis. 112(1): 43-70 (2015) - 2014
- [j13]Michael Sapienza, Fabio Cuzzolin, Philip H. S. Torr:
Learning Discriminative Space-Time Action Parts from Weakly Labelled Videos. Int. J. Comput. Vis. 110(1): 30-47 (2014) - [j12]Fabio Cuzzolin, Michael Sapienza:
Learning Pullback HMM Distances. IEEE Trans. Pattern Anal. Mach. Intell. 36(7): 1483-1489 (2014) - [j11]Fabio Cuzzolin:
$L_{p}$ Consonant Approximations of Belief Functions. IEEE Trans. Fuzzy Syst. 22(2): 420-436 (2014) - [c34]Saumya Jetley, Fabio Cuzzolin:
3D Activity Recognition Using Motion History and Binary Shape Templates. ACCV Workshops (1) 2014: 129-144 - [c33]Rocco De Rosa, Nicolò Cesa-Bianchi, Ilaria Gori, Fabio Cuzzolin:
Online Action Recognition via Nonparametric Incremental Learning. BMVC 2014 - [e1]Fabio Cuzzolin:
Belief Functions: Theory and Applications - Third International Conference, BELIEF 2014, Oxford, UK, September 26-28, 2014. Proceedings. Lecture Notes in Computer Science 8764, Springer 2014, ISBN 978-3-319-11190-2 [contents] - [i3]Fabio Cuzzolin, Diana Mateus, Radu Horaud:
Robust Temporally Coherent Laplacian Protrusion Segmentation of 3D Articulated Bodies. CoRR abs/1405.6563 (2014) - [i2]Michael Sapienza, Fabio Cuzzolin, Philip H. S. Torr:
Feature sampling and partitioning for visual vocabulary generation on large action classification datasets. CoRR abs/1405.7545 (2014) - [i1]Fabio Cuzzolin:
Consistent transformations of belief functions. CoRR abs/1407.8151 (2014) - 2013
- [c32]Fabio Cuzzolin, Wenjuan Gong:
Belief modeling regression for pose estimation. FUSION 2013: 1398-1405 - 2012
- [j10]Fabio Cuzzolin:
On the relative belief transform. Int. J. Approx. Reason. 53(5): 786-804 (2012) - [j9]Al Ozonoff, Fabio Cuzzolin, Paul Snow:
Special Issue on Information Fusion Applications to Human Health and Safety. Inf. Fusion 13(2): 102-104 (2012) - [c31]Fabio Cuzzolin:
Game-Theoretical Semantics of Epistemic Probability Transformations. Belief Functions 2012: 101-108 - [c30]Fabio Cuzzolin:
Generalizations of the Relative Belief Transform. Belief Functions 2012: 109-116 - [c29]Fabio Cuzzolin:
Consonant Approximations in the Belief Space. Belief Functions 2012: 125-133 - [c28]Michael Sapienza, Fabio Cuzzolin, Philip H. S. Torr:
Learning discriminative space-time actions from weakly labelled videos. BMVC 2012: 1-12 - 2011
- [c27]Fabio Cuzzolin:
On Consistent Approximations of Belief Functions in the Mass Space. ECSQARU 2011: 287-298 - 2010
- [j8]Fabio Cuzzolin:
Geometry of relative plausibility and relative belief of singletons. Ann. Math. Artif. Intell. 59(1): 47-79 (2010) - [j7]Fabio Cuzzolin:
The geometry of consonant belief functions: Simplicial complexes of necessity measures. Fuzzy Sets Syst. 161(10): 1459-1479 (2010) - [j6]Fabio Cuzzolin:
Three alternative combinatorial formulations of the theory of evidence. Intell. Data Anal. 14(4): 439-464 (2010) - [j5]Fabio Cuzzolin:
Credal Semantics of Bayesian Transformations in Terms of Probability Intervals. IEEE Trans. Syst. Man Cybern. Part B 40(2): 421-432 (2010) - [c26]Alessandro Antonucci, Fabio Cuzzolin:
Credal Sets Approximation by Lower Probabilities: Application to Credal Networks. IPMU 2010: 716-725
2000 – 2009
- 2009
- [c25]Fabio Cuzzolin:
Complexes of Outer Consonant Approximations. ECSQARU 2009: 275-286 - [c24]Fabio Cuzzolin:
The Intersection Probability and Its Properties. ECSQARU 2009: 287-298 - 2008
- [j4]Fabio Cuzzolin:
A Geometric Approach to the Theory of Evidence. IEEE Trans. Syst. Man Cybern. Part C 38(4): 522-534 (2008) - [c23]Fabio Cuzzolin, Diana Mateus, David Knossow, Edmond Boyer, Radu Horaud:
Coherent Laplacian 3-D protrusion segmentation. CVPR 2008 - [c22]Diana Mateus, Radu Horaud, David Knossow, Fabio Cuzzolin, Edmond Boyer:
Articulated shape matching using Laplacian eigenfunctions and unsupervised point registration. CVPR 2008 - [c21]Fabio Cuzzolin:
An Interpretation of Consistent Belief Functions in Terms of Simplicial Complexes. ISAIM 2008 - [c20]Fabio Cuzzolin:
Boolean and Matroidal Independence in Uncertainty Theory. ISAIM 2008 - [c19]Fabio Cuzzolin:
On the Credal Structure of Consistent Probabilities. JELIA 2008: 126-139 - [c18]Fabio Cuzzolin:
Dual Properties of the Relative Belief of Singletons. PRICAI 2008: 78-90 - [c17]Fabio Cuzzolin:
Alternative Formulations of the Theory of Evidence Based on Basic Plausibility and Commonality Assignments. PRICAI 2008: 91-102 - [p2]Fabio Cuzzolin:
Semantics of the Relative Belief of Singletons. Interval / Probabilistic Uncertainty and Non-Classical Logics 2008: 201-213 - [p1]Fabio Cuzzolin:
A Lattice-Theoretic Interpretation of Independence of Frames. Interval / Probabilistic Uncertainty and Non-Classical Logics 2008: 214-227 - 2007
- [j3]Fabio Cuzzolin:
Two New Bayesian Approximations of Belief Functions Based on Convex Geometry. IEEE Trans. Syst. Man Cybern. Part B 37(4): 993-1008 (2007) - [c16]Fabio Cuzzolin:
On the Orthogonal Projection of a Belief Function. ECSQARU 2007: 356-367 - [c15]Fabio Cuzzolin, Diana Mateus, Edmond Boyer, Radu Horaud:
Robust Spectral 3D-Bodypart Segmentation Along Time. Workshop on Human Motion 2007: 196-211 - [c14]Diana Mateus, Fabio Cuzzolin, Radu Horaud, Edmond Boyer:
Articulated Shape Matching by Robust Alignment of Embedded Representations. ICCV 2007: 1-8 - [c13]Diana Mateus, Fabio Cuzzolin, Radu Horaud, Edmond Boyer:
Articulated Shape Matching Using Locally Linear Embedding and Orthogonal Alignment. ICCV 2007: 1-8 - 2006
- [c12]Fabio Cuzzolin:
Using Bilinear Models for View-invariant Action and Identity Recognition. CVPR (2) 2006: 1701-1708 - 2005
- [j2]Fabio Cuzzolin:
Algebraic structure of the families of compatible frames of discernment. Ann. Math. Artif. Intell. 45(1-2): 241-274 (2005) - [c11]Fabio Cuzzolin, Ruggero Frezza:
Evidential modeling for pose estimation. ISIPTA 2005: 135-144 - [c10]Fabio Cuzzolin:
On the properties of relative plausibilities. SMC 2005: 594-599 - 2004
- [j1]Fabio Cuzzolin:
Geometry of Dempster's rule of combination. IEEE Trans. Syst. Man Cybern. Part B 34(2): 961-977 (2004) - [c9]Giambattista Gennari, Alessandro Chiuso, Fabio Cuzzolin, Ruggero Frezza:
Integration of shape constraints in data association filters. CDC 2004: 2668-2673 - [c8]Fabio Cuzzolin, Augusto Sarti, Stefano Tubaro:
Action modeling with volumetric data. ICIP 2004: 881-884 - [c7]Fabio Cuzzolin, Augusto Sarti, Stefano Tubaro:
Invariant action classification with volumetric data. MMSP 2004: 395-398 - 2003
- [c6]Fabio Cuzzolin:
Geometry of Upper Probabilities. ISIPTA 2003: 188-203 - 2002
- [c5]Giambattista Gennari, Alessandro Chiuso, Fabio Cuzzolin, Ruggero Frezza:
Integrating shape and dynamic probabilistic models for data association and tracking. CDC 2002: 2409-2414 - [c4]Fabio Cuzzolin:
Geometry of Dempster's. FSKD 2002: 76-80 - 2001
- [c3]Fabio Cuzzolin, Ruggero Frezza:
Lattice structure of the families of compatible frames of discernment. ISIPTA 2001: 112-121 - [c2]Fabio Cuzzolin, Ruggero Frezza:
Geometric analysis of belief space and conditional subspaces. ISIPTA 2001: 122-132
1990 – 1999
- 1997
- [c1]Andrea Sorrentino, Fabio Cuzzolin, Ruggero Frezza:
Using Hidden Markov Models and Dynamic Size Functions for Gesture Recognition. BMVC 1997
Coauthor Index
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