Profil

Mancas Matei

Université de Mons - UMONS > Faculté Polytechnique > Service Information, Signal et Intelligence artificielle

Université de Mons - UMONS > Faculté Polytechnique > Information, Signal et Intelligence artificielle

ORCID
0000-0002-6539-6996
Main Referenced Co-authors
GOSSELIN, Bernard  (64)
DUTOIT, Thierry  (21)
Riche, Nicolas  (21)
Leroy, Julien  (14)
ROCCA, François  (14)
Main Referenced Keywords
Computer Vision (4); Electrical and Electronic Engineering (4); Computer Networks and Communications (3); Control and Systems Engineering (3); Danger Detection (3);
Main Referenced Unit & Research Centers
CRTI - Centre de Recherche en Technologie de l'Information (47)
BIOSYS - Biosys (3)
CREMH - Mind & Health (1)
Main Referenced Disciplines
Computer science (110)
Physics (44)
Electrical & electronics engineering (22)
Library & information sciences (19)
Mathematics (4)

Publications (total 138)

The most downloaded
458 downloads
Rocca, F., Mancas, M., & Gosselin, B. (2014). Head Pose Estimation by Perspective-n-Point Solution Based on 2D Markerless Face Tracking. In Intelligent Technologies for Interactive Entertainment. Reidsma, Dennis. https://hdl.handle.net/20.500.12907/41669

The most cited

226 citations (Scopus®)

Riche, N., Duvinage, M., Mancas, M., Gosselin, B., & Dutoit, T. (2013). Saliency and Human Fixations: State-of-the-art and Study of Comparison Metrics [Paper presentation]. international Computer Vision, Sydney, Australia. https://hdl.handle.net/20.500.12907/41517

Duvivier, V., Rocca, F., Kinart, A., Dave, M., Mancas, M., Gosselin, B., Van daele, A., Derobertmasure, A., & Demeuse, M. (28 August 2024). Simulating and Supporting Pre-Service Teachers' Activities in Professional Training Presentation of the ARC Sim’Pro project [Poster presentation]. 22ème édition triennale du Congrès International de l'Association Ergonomique, Jeju, South Korea.

Ennadifi, E., Ravet, T., Mancas, M., Mokhtari, M. E. A., & Gosselin, B. (2023). Enhancing VR Gaming Experience using Computational Attention Models and Eye-Tracking. ACM International Conference on Interactive Media Experiences (IMX).
Peer reviewed

Mokhtari, M. E. A., Mancas, M., Vandenbulcke, V., Ennadifi, E., Laraba, S., Tazir, M., & Gosselin, B. (2023). Efficient Action Recognition for Drones: A Comparative Study of Lightweight and Traditional Models [Paper presentation]. European Test and Telemetry Conference, Toulouse, France.

BENKEDADRA, M., Mancas, M., & Mahmoudi, S. (2023). Feedback Driven Multi Stereo Vision System for Real-Time Event Analysis. In IMX '23: Proceedings of the 2023 ACM International Conference on Interactive Media Experiences. ACM. doi:10.1145/3573381.3597220
Peer reviewed

Rocca, F., Dave, M., Duvivier, V., Van daele, A., Demeuse, M., Derobertmasure, A., Mancas, M., & Gosselin, B. (2023). Designing an Assistance Tool for Analyzing and Modeling Trainer Activity in Professional Training Through Simulation. Proceedings of ACM International Conference on Interactive Media Experiences (IMX ’23).
Peer reviewed

Benkedadra, M., Mahmoudi, S., & Mancas, M. (2023). MLOps for Edge deployment of a Real Time Danger Detection AI [Paper presentation]. INFORTECH Day 2023, Mons, Belgium.

Mahmoudi, S., Amel, O., Stassin, S., Liagre, M., Benkedadra, M., & Mancas, M. (May 2023). A Review and Comparative Study of Explainable Deep Learning Models Applied on Action Recognition in Real Time. Electronics, 12 (9), 2027. doi:10.3390/electronics12092027
Peer Reviewed verified by ORBi

Doh, M., Rodrigues Mazini, R., Boutry, N., Mancas, M., & Bersini, H. (2023). Bridging Human Concepts and Computer Vision for Explainable Face Verification. CEUR Workshop Proceedings.
Peer Reviewed verified by ORBi

Hubens, N., Mancas, M., Gosselin, B., Preda, M., & Zaharia, T. (November 2022). FasterAI: A Lightweight Library for Neural Networks Compression. Electronics, 11 (22), 3789. doi:10.3390/electronics11223789
Peer Reviewed verified by ORBi

Hubens, N., Mancas, M., Gosselin, B., Preda, M., & Zaharia, T. (2022). One-Cycle Pruning: Pruning Convnets With Tight Training Budget. 2022 IEEE International Conference on Image Processing (ICIP). doi:10.1109/icip46576.2022.9897980
Peer reviewed

Mokhtari, M. E. A., Vandenbulcke, V., Laraba, S., Mancas, M., Ennadifi, E., Tazir, M., & Gosselin, B. (2022). Semi-synthetic Data for Automatic Drone Shadow Detection. ESANN.
Peer reviewed

Kong, P., Mancas, M., Gosselin, B., & Po, K. (June 2022). DeepRare: Generic Unsupervised Visual Attention Models. Electronics, 11 (11), 1696. doi:10.3390/electronics11111696
Peer reviewed

Benkedadra, M., Mahmoudi, S., & Mancas, M. (30 March 2022). Real time, Explainable, and Edge Deployable AI for Securing Public Environments and Construction Sites [Poster presentation]. INFORTECH Day, Mons, Belgium.

Benkedadra, M., Mahmoudi, S., & Mancas, M. (30 March 2022). Real time, Explainable, and Edge Deployable AI for Securing Public Environments and Construction Sites [Poster presentation]. INFORTECH Day, Mons, Belgium.

Hubens, N., Mancas, M., Gosselin, B., Preda, M., & Zaharia, T. (2022). Improve Convolutional Neural Network Pruning by Maximizing Filter Variety. In S. Sclaroff (Ed.), Image Analysis and Processing – ICIAP 2022 - 21st International Conference, 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. doi:10.1007/978-3-031-06427-2_32
Peer reviewed

Siv, R., Mancas, M., Gosselin, B., Valy, D., & Sreng, S. (2022). People Tracking and Re-Identifying in Distributed Contexts: Extension Study of PoseTReID. In M. Facta (Ed.), Proceedings - 9th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2022. Institute of Electrical and Electronics Engineers Inc. doi:10.23919/EECSI56542.2022.9946587
Peer reviewed

Hubens, N., Mancas, M., Gosselin, B., Preda, M., & Zaharia, T. (25 November 2021). Introduction to Compression Techniques for Lighter Neural Networks [Paper presentation]. Workshop Energy4Climate, Paris, France.
Peer reviewed

Hubens, N., Mancas, M., Gosselin, B., Preda, M., & Zaharia, T. (2021). Fake-Buster: A Lightweight Solution for Deepfake Detection. Proceedings of SPIE: The International Society for Optical Engineering. doi:10.1117/12.2596317
Peer reviewed

Hubens, N., Mancas, M., Gosselin, B., Preda, M., & Zaharia, T. (2021). One-Cycle Pruning: Pruning ConvNets Under a Tight Training Budget [Paper presentation]. Sparsity in Neural Networks: Advancing Understanding and Practice, Remote, NULL.

Siv, R., Mancas, M., Seng, S., Chhun, S., & Gosselin, B. (2020). People Tracking and Re-Identifying in Distributed Contexts: PoseTREID Framework and Dataset [Paper presentation]. International Conference on Information Technology and Electrical Engineering, Yogyarkarta, Indonesia.

Moreau, A., Mancas, M., & Dutoit, T. (2020). Unsupervised depth prediction from monocular sequences:Improving performances through instance segmentation [Paper presentation]. Canadian Conference on Computer and Robot Vision, Ottawa, Canada.

Mancas, M., Kong, P., Gosselin, B., & Seng, S. (2020). Visual Attention: Deep Rare Features [Paper presentation]. International Conference on Imaging, Vision & Pattern Recognition (ICVPR), Fukuoka, Japan.

Hubens, N., Mancas, M., Gosselin, B., Decombas, M., Preda, M., Zaharia, T., & Dutoit, T. (2020). An Experimental Study of the Impact of Pre-Training on the Pruning of a Convolutional Neural Network [Paper presentation]. APPIS 2020: Proceedings of the 3rd International Conference on Applications of Intelligent Systems, Las Palmas de Gran Canaria, Spain.

Moreau, A., Mancas, M., & Dutoit, T. (2019). Depth prediction from 2D images: A taxonomy and an evaluation study. Image and Vision Computing.
Peer Reviewed verified by ORBi

Milisavljevic, A., Le Bras, T., Mancas, M., Petermann, C., Gosselin, B., & Doré-Mazars, K. (2019). Towards a better description of visual exploration through temporal dynamic of ambient and focal modes [Paper presentation]. ACM Symposium on Eye Tracking Research & Applications, Denver, United States - Colorado.

Kong, P., Mancas, M., Nimol, T., Gosselin, B., & seng, K. (2018). DO DEEP-LEARNING SALIENCY MODELS REALLY MODEL SALIENCY? [Paper presentation]. IEEE International Conference on Image Processing, Athens, Greece.

Mancas, M., Laraba, S., Bandrabur, A., De Deken, P.-H., Hagihara, K., Leblanc, N., Yengec Tasdemir, S. B., Macq, B., & Dutoit, T. (2018). PEOPLE GROUPS ANALYSIS FOR AR APPLICATIONS [Paper presentation]. International Conference on 3D Imaging, Bruxelles, Belgium.

Milisavljevic, A., Hammard, A., Petermann, C., Gosselin, B., Doré-Mazars, K., & Mancas, M. (2018). Eye and Mouse coordination during task: from behaviour to prediction [Paper presentation]. Conference on Human Computer Interaction Theory and Application, Madeira, Portugal.

Kong, P., Mancas, M., Gosselin, B., & seng, K. (2018). Generic and Effective Visual Attention [Paper presentation]. International Conference on Pattern Recognition and Artificial Intelligence, Montreal, Canada.

Rocca, F., De Deken, P.-H., Bandrabur, A., & Mancas, M. (2018). Enter the ROBiGAME: Serious game for stroke patients with upper limbs rehabilitation [Paper presentation]. Proceedings of the 10th International Summer Workshop on Multimodal Interfaces - eNTERFACE'15, Mons, Belgium.

Mancas, M., & Frisson, C. (2018). Proceedings of eNTERFACE 2015 Workshop on Intelligent Interfaces [Paper presentation]. Proceedings of the 10th International Summer Workshop on Multimodal Interfaces - eNTERFACE'15, Mons, Belgium.

Rollus, O., & Mancas, M. (2017). On est pas couchés.

Marighetto, P., Coutrot, A., Riche, N., Guyader, N., Mancas, M., Gosselin, B., & Laganière, R. (2017). Audio-Visual Attention: Eye-Tracking Dataset and Analysis Toolbox [Paper presentation]. IEEE International Conference on Image Processing, Beijing, China.

Moreau, A., Mancas, M., & Dutoit, T. (2017). A Robust Quality Measure for Quality-Guided 2D Phase Unwrapping Algorithms Based on Histogram Processing [Paper presentation]. Irish Machine Vision and Image Processing Conference, Maynooth, Ireland.

Milisavljevic, A., Doré-Mazars, K., Gosselin, B., Mancas, M., & Petermann, C. (2017). What scroll can teach us about web users? [Paper presentation]. European Conference on Visual Perception, Berlin, Germany.

Bandrabur, A., Florea, L., Florea, C., & Mancas, M. (30 July 2017). Late fusion of facial dynamics for automatic expression recognition. Turkish Journal of Electrical Engineering and Computer Sciences, 25 (4), 2696-2707.
Peer Reviewed verified by ORBi

Mancas, M., & Souris, S. (2017). Ces 10 machines vont changer votre vie. L'Echo.

Heins, S., Dehem, S., Montedoro, V., Rocca, F., De Deken, P.-H., Edwards, M., Dehez, B., Mancas, M., Stoquart, G., & Lejeune, T. (2017). Robotic-assisted serious game for motor and cognitive post-stroke rehabilitation [Paper presentation]. International Conference on Serious Games and Applications for Health, Perth, Australia.

Mancas, M., & GAUDEFROY, A. G. (2017). BigBooster : 20 start-up s'envolent cette semaine pour Boston. Les Echos Entrepreneurs.

Leblud, H., & Mancas, M. (2017). Les Montois d'Itteniton lisent dans vos yeaux. L'Echo.

Mancas, M. (2016). Adrexo propose d'améliorer (en amont) l'impact des imprimés publicitaires grâce à l'eye-tracking. OffreMedia.

Roy, F., & Mancas, M. (2016). Adrexo se lance dans l'oculométrie prédictive. CBNews.

Gavard, E., & Mancas, M. (2016). «IL RESTE TOUT À FAIRE SUR LE PROSPECTUS». Strategies.fr.

Marighetto, P., Hadj Abdelkader, I., Duzelier, S., Decombas, M., Riche, N., Jakubowicz, J., Mancas, M., Gosselin, B., & Laganière, R. (2016). FuNNRar: Hybrid Rarity/Learning Visual Saliency [Paper presentation]. IEEE International Conference on Image Processing, Phoenix, United States - Arizona.

Mancas, M. (2016). Modeling Attention in Engineering. In M. Mancas, V. Ferrera, N. Riche, J. G. Taylor, M. Mancas (Ed.), V. Ferrera (Ed.), N. Riche (Ed.), ... J. Taylor (Ed.), From Human Attention to Computational Attention - A Multidisciplinary Approach (pp. 105-121). Springer Series in Cognitive and Neural Systems.

Mancas, M., & Ferrera, V. (2016). How to Measure Attention? In M. Mancas, V. Ferrera, N. Riche, J. G. Taylor, M. Mancas (Ed.), V. Ferrera (Ed.), N. Riche (Ed.), ... J. Taylor (Ed.), From Human Attention to Computational Attention - A Multidisciplinary Approach (pp. 21-38). Springer Series in Cognitive and Neural Systems.

Mancas, M. (2016). What Is Attention? In M. Mancas, V. Ferrera, N. Riche, J. G. Taylor, M. Mancas (Ed.), V. Ferrera (Ed.), N. Riche (Ed.), ... J. Taylor (Ed.), From Human Attention to Computational Attention - A Multidisciplinary Approach (pp. 9-20). Springer Series in Cognitive and Neural Systems.

Leroy, J., Riche, N., & Mancas, M. (2016). Toward 3D Visual Saliency Modeling. In M. Mancas, V. Ferrera, N. Riche, J. G. Taylor, M. Mancas (Ed.), V. Ferrera (Ed.), N. Riche (Ed.), ... J. Taylor (Ed.), From Human Attention to Computational Attention - A Multidisciplinary Approach (pp. 305-330). Springer Series in Cognitive and Neural Systems.

Riche, N., & Mancas, M. (2016). Bottom-Up Saliency Models for Still Images: A Practical Review. In M. Mancas, V. Ferrera, N. Riche, J. G. Taylor, M. Mancas (Ed.), V. Ferrera (Ed.), N. Riche (Ed.), ... J. Taylor (Ed.), From Human Attention to Computational Attention - A Multidisciplinary Approach. Springer Series in Cognitive and Neural Systems.

Mancas, M., Riche, N., & Ferrera, V. (2016). The Future of Attention Models: Information Seeking and Self-awareness. In M. Mancas, V. Ferrera, N. Riche, J. G. Taylor, M. Mancas (Ed.), V. Ferrera (Ed.), N. Riche (Ed.), ... J. Taylor (Ed.), From Human Attention to Computational Attention - A Multidisciplinary Approach. Springer Series in Cognitive and Neural Systems.

Mancas, M., Ferrera, V., & Riche, N. (2016). Why Do Computers Need Attention? In M. Mancas, V. Ferrera, N. Riche, J. G. Taylor, M. Mancas (Ed.), V. Ferrera (Ed.), N. Riche (Ed.), ... J. Taylor (Ed.), From Human Attention to Computational Attention - A Multidisciplinary Approach (pp. 1-6). Springer Series in Cognitive and Neural Systems.

Mancas, M., Ferrera, V., Riche, N., Taylor, J. G., Mancas, M. (Ed.), Ferrera, V. (Ed.), Riche, N. (Ed.), & Taylor, J. (Ed.). (2016). From Human Attention to Computational Attention: A Multidisciplinary Approach. Springer Series in Cognitive and Neural Systems.

Riche, N., & Mancas, M. (2016). Bottom-Up Saliency Models for Videos: A Practical Review. In M. Mancas, V. Ferrera, N. Riche, J. G. Taylor, M. Mancas (Ed.), V. Ferrera (Ed.), N. Riche (Ed.), ... J. Taylor (Ed.), From Human Attention to Computational Attention - A Multidisciplinary Approach. Springer Series in Cognitive and Neural Systems.

Mancas, M., & Le Meur, O. (2016). Applications of Saliency Models. In M. Mancas, V. Ferrera, N. Riche, J. G. Taylor, M. Mancas (Ed.), V. Ferrera (Ed.), N. Riche (Ed.), ... J. Taylor (Ed.), From Human Attention to Computational Attention - A Multidisciplinary Approach (pp. 331-377). Springer Series in Cognitive and Neural Systems.

Leroy, C., & Mancas, M. (2016). À L'AUBE DU SIXIÈME SENS. Le Vif.

Decombas, M., Marighetto, P., Mancas, M., Cassagne, I., Riche, N., Gosselin, B., Dutoit, T., & Laganière, R. (2015). An Evaluation Criterion of Saliency Models for Video Seam Carving [Paper presentation]. 7th IEEE International Workshop on Multimedia Signal Processing (MMSP2015), Xiamen, China.

Leroy, J., Riche, N., Mancas, M., & Gosselin, B. (2015). 3D Saliency Based on Supervoxels Rarity in Point Clouds [Paper presentation]. Symposium on Attention in Cognitive Systems, Hamburg, Germany.

Courboulay, V., & Mancas, M. (2015). CuriousMind photographer: distract the robot from its initial task. EAI Endorsed Transactions on Creative Technologies.
Peer Reviewed verified by ORBi

Awad, D., Mancas, M., Riche, N., Courboulay, V., & Revel, A. (2015). A CBIR-based evaluation framework for visual attention models [Paper presentation]. 23rd European Signal Processing Conference (EUSIPCO 2015), Nice, France.

Bandrabur, A., Florea, L., Florea, C., & Mancas, M. (2015). Emotion identification by facial landmarks dynamics analysis [Paper presentation]. IEEE Intelligent Computer Communication and Processing (ICCP), Cluj-Napoca, Romania.

Le Meur, O., & Mancas, M. (2015). Computational Models of Visual Attention and Applications. In Biologically Inspired Computer Vision: Fundamentals and Applications (pp. 21). WileyVCH Verlag GmbH & Co. KGaA.

Cassagne, I., Riche, N., Decombas, M., Mancas, M., Gosselin, B., Dutoit, T., & Laganière, R. (2015). Video saliency based on rarity prediction: HYPERAPTOR [Paper presentation]. 23rd European Signal Processing Conference (EUSIPCO 2015), Nice, France.

Vatavu, R.-D., & Mancas, M. (25 August 2015). Evaluating visual attention for multi-screen television: measures, toolkit, and experimental findings. Personal and Ubiquitous Computing, 19, 781-801.
Peer Reviewed verified by ORBi

Ben Madhkour, R., Mancas, M., & Dutoit, T. (2015). A taxonomy of camera calibration and video projection correction methods. EAI Endorsed Transactions on Creative Technologies.
Peer Reviewed verified by ORBi

Rocca, F., De Deken, P.-H., Grisard, F., Mancas, M., & Gosselin, B. (2015). Real-Time Marker-Less Implicit Behavior Tracking for User Profiling in a TV Context. casa 2015 : 28th international conference on computer animation and social agents 2015 - Proceedings Short Papers (ISBN: 978-981-09-4946-4 ).
Peer reviewed

Rocca, F., Mancas, M., Grisard, F., Leroy, J., Ravet, T., & Gosselin, B. (2015). Head pose estimation & TV Context: current technology. EAI Endorsed Transactions on Creative Technologies.
Peer Reviewed verified by ORBi

Vatavu, R.-D., & Mancas, M. (2014). Visual Attention Measures for Multi-screen TV [Paper presentation]. acm international conference on interactive experiences for tv and online video, Newcastle, United Kingdom.

Frisson, C., Riche, N., Coutrot, A., Delestage, C.-A., Dupont, S., Ferhat, O., Guyade, N., Mahmoudi, S., Mancas, M., Mital, P. K., Ech aniz, A. P., Rocca, F., Rochette, A., & Yvart, W. (2014). Auracle: how are salient cues situated in audiovisual content? The 10th International Summer Workshop on Multimedia Interfaces.

Tsatsou, D., Mancas, M., Kuchar, J., Nixon, L., Vacura, M., Leroy, J., Rocca, F., & Mezaris, V. (2014). When TV meets the Web: towards personalised digital media. In Semantic Multimedia Analysis and Processing. CRC Press.

Rocca, F., Mancas, M., & Gosselin, B. (2014). Head Pose Estimation by Perspective-n-Point Solution Based on 2D Markerless Face Tracking. In Intelligent Technologies for Interactive Entertainment. Reidsma, Dennis.

Leroy, J., Riche, N., Mancas, M., Gosselin, B., & Dutoit, T. (2014). SuperRare: an Object-oriented Saliency Algorithm Based on Superpixels Rarity [Paper presentation]. IEEE International Conference on Robotics and Automation (ICRA 2014), Hong Kong, China.

Mancas, M., Rocca, F., Grisard, F., Tsatsou, D., Kliegr, T., Kuchar, J., & Stein, D. (2014). Contextualisation solution and implementation: Deliverable D4.6 FP7 project LinkedTV. https://orbi.umons.ac.be/handle/20.500.12907/41697

Mancas, M. (2014). Rapport semestre 3 Projet Predattor. https://orbi.umons.ac.be/handle/20.500.12907/41698

Mancas, M. (2014). Rapport année 2 Projet Predattor. https://orbi.umons.ac.be/handle/20.500.12907/41699

Decombas, M., Riche, N., Dufaux, F., Pesquet-Popescu, B., Mancas, M., Gosselin, B., & Dutoit, T. (2013). Spatio-Temporal Saliency Based on Rare Model [Paper presentation]. ICIP 2013, Melbourne, Australia.

Mibulumukini, M., Riche, N., Mancas, M., Gosselin, B., & Dutoit, T. (2013). BIOLOGICALLY PLAUSIBLE CONTEXT RECOGNITION ALGORITHMS [Paper presentation]. ICIP 2013, Melbourne, Australia.

Riche, N., Mancas, M., Duvinage, M., Mibulumukini, M., Gosselin, B., & Dutoit, T. (2013). RARE2012: A multi-scale rarity-based saliency detection with its comparative statistical analysis. Signal Processing: Image Communication.
Peer Reviewed verified by ORBi

Riche, N., Duvinage, M., Mancas, M., Gosselin, B., & Dutoit, T. (2013). Saliency and Human Fixations: State-of-the-art and Study of Comparison Metrics [Paper presentation]. international Computer Vision, Sydney, Australia.

Riche, N., Duvinage, M., Mancas, M., Gosselin, B., & Dutoit, T. (2013). A study of parameters affecting visual saliency assessment [Paper presentation]. 6th International Symposium on Attention in Cognitive Systems, Beijing, China.

Mancas, M., Dutoit, T., D'alessandro, N., Siebert, X., Gosselin, B., & Valderrama, C. (2013). Intelligent Technologies for Interactive Entertainment: 5th International ICST Conference, INTETAIN 2013 [Paper presentation]. 5th International ICST Conference, INTETAIN 2013, Mons, Belgium.

Leroy, J., Rocca, F., Mancas, M., & Gosselin, B. (2013). 3D Head Pose Estimation for TV Setups. In Intelligent Technologies for Interactive Entertainment. Springer.

Leroy, J., Rocca, F., Mancas, M., & Gosselin, B. (2013). Second screen interaction: an approach to infer TV watcher's interest using 3D head pose estimation [Paper presentation]. LiME, Rio de Janeiro, Brazil.

Leroy, J., Rocca, F., Mancas, M., Ben Madhkour, R., Grisard, F., Kliegr, T., Kuchar, J., Vit, J., Pirner, I., & Zimmermann, P. (2013). KINterestTV-Towards Non-invasive Measure of User Interest While Watching TV. In Innovative and Creative Developments in Multimodal Interaction Systems. Springer.

Ben Madhkour, R., Mancas, M., & Gosselin, B. (2013). Automatic Geometric projector calibration: Application to a 3D real-time visual feedback [Paper presentation]. International conference on Computer Vision Theory and Apllications, Barcelona, Spain.

CULIBRK, D., Mancas, M., & CRNOJEVIC, V. (2013). Dynamic Texture Recognition Based on Compression Artifacts. In Towards Advanced Data Analysis by Combining Soft Computing and Statistics Studies in Fuzziness and Soft Computing. Editions Springer.

Zajega, F., picard-limpens, C., René, J., Puleo, A., Decuypere, J., Frisson, C., Ravet, T., & Mancas, M. (02 February 2013). Medianeum: Gesture-Based Ergonomic Interaction. Lecture Notes in Computer Science, 124, 96-103.
Peer reviewed

Ben Madhkour, R., Burczykowski, L., Mancas, M., & Gosselin, B. (2013). Image Surround: Automatic Projector Calibration for Indoor Adaptive Projection. In Intelligent Technologies for Interactive Entertainment (pp. 156-162). Springer.

Vatavu, R.-D., & Mancas, M. (2013). Interactive TV Potpourris: An Overview of Designing Multi-screen TV Installations for Home Entertainment. In Intelligent Technologies for Interactive Entertainment. Springer.

Mancas, M., & Le Meur, O. (2013). MEMORABILITY OF NATURAL SCENES: THE ROLE OF ATTENTION [Paper presentation]. ICIP 2013, Melbourne, Australia.

Riche, N., Mancas, M., CULIBRK, D., CRNOJEVIC, V., Gosselin, B., & Dutoit, T. (2012). Dynamic saliency models and human attention: a comparative study on videos [Paper presentation]. Proceedings of the 11th Asian Conference on Computer Vision (ACCV), Daejeon, South Korea.

Zajega, F., Mancas, M., Ben Madhkour, R., Leroy, J., Riche, N., Rocca, F., Dutoit, T., & Yves, R. (07 November 2012). KinAct: the attentive social game demonstration [Paper presentation]. Asian Conference on Computer Vision, Daejeon, South Korea.

Pirri, F., Pizzoli, M., & Mancas, M. (04 October 2012). Human-Motion saliency in complex scenes. Lecture Notes in Computer Science, 7206, 81-92.
Peer reviewed

Riche, N., Mancas, M., Gosselin, B., & Dutoit, T. (2012). RARE: a New Bottom-Up Saliency Model [Paper presentation]. IEEE ICIP, Orlando, United States - Florida.

CULIBRK, D., SLADOJEVIC, S., Riche, N., Mancas, M., & CRNOJEVIC, V. (2012). Data-driven approach to dynamic visual attention modelling [Paper presentation]. Proceedings of SPIE, .

Mancas, M., De Beul, D., Riche, N., & Siebert, X. (2012). Human Attention Modelization and Data Reduction. In Video Compression. InTech.

Zajega, F., picard-limpens, C., René, J., Puleo, A., Decuypere, J., Ravet, T., Frisson, C., & Mancas, M. (04 February 2012). MEDIANEUM: CRAFTING INTERACTIVE TIMELINES FROM MULTIMEDIA CONTENT. Quarterly Progress Scientific Report of the Numediart Research Program, 5 (2).

Tsatsou, D., Nixon, L., Mancas, M., Vacura, M., Rudiger, K., Leroy, J., Kuchar, J., Kober, M., Loli, M., & Mezaris, V. (2012). Contextualised user profiling in networked media environments [Paper presentation]. Conference on User Modeling, Adaptation and Personalization, Monreal, Canada.

Mancas, M., Riche, N., Leroy, J., Gosselin, B., & Dutoit, T. (2011). 'Toward a Social Attentive Machine' [Paper presentation]. AAAI Fall Symposia, Washington, United States - District of Columbia.

Mancas, M., Riche, N., Leroy, J., & Gosselin, B. (2011). Abnormal motion selection in crowds using bottom-up saliency [Paper presentation]. ICIP 2011 : 2011 IEEE International Conference on Image Processing, Bruxelles, Belgium.

Mancas, M., Pirri, F., & Pizzoli, M. (2011). From saliency to eye gaze: embodied visual selection for a pan-tilt-based robotic head [Paper presentation]. International Symposium on Visual Computing (ISVC), Las Vegas, United States - Nevada.

Mancas, M., Ben Madhkour, R., Leroy, J., Riche, N., Yves, R., & Zajega, F. (01 September 2011). Kinact: a Saliency-based Social Game. Quarterly Progress Scientific Report of the Numediart Research Program, 4 (2), 29-36.

Mancas, M., Pirri, F., & Pizzoli, M. (2011). Human-motion saliency in multi-motion scenes and in close interaction [Paper presentation]. International Gesture Workshop on Gesture in Embodied Communication and Human-Computer Interaction, Athens, Greece.

Riche, N., Mancas, M., Gosselin, B., & Dutoit, T. (2011). 3D  Saliency  for  Abnormal  Motion  Selection:   the  Role  of  the  Depth  Map [Paper presentation]. ICVS, Sophia Antipolis, France.

Leroy, J., Riche, N., Zajega, F., Mancas, M., Tilmanne, J., Gosselin, B., & Dutoit, T. (2011). The Attentive Machine: be Different! [Paper presentation]. INTETAIN 2011, Genoa, Italy.

Leroy, J., Mancas, M., & Gosselin, B. (2011). Personal space augmented reality tool [Paper presentation]. 32nd WIC Symposium on Information Theory in the Benelux, Université Libre de Bruxelles, Brussels, Belgium.

KHAMBHAITA, H., KRUIJFF, G. J., FANELLO, S. R., GIANNI, M., PAPADAKIS, P., Pirri, F., Pizzoli, M., RUDI, A., & Mancas, M. (2011). Help Me to Help You: how to Learn Intentions, Actions and Plans [Paper presentation]. Help Me to Help You: how to Learn Intentions, Actions and Plans, Palo Alto, United States.

Mancas, M., Ben Madhkour, R., Mahmoudi, S., & Ravet, T. (31 March 2010). Vir­Track: Track­ing for Vir­tual Studios: Vir­Track: Track­ing for Vir­tual Studios. Quarterly Progress Scientific Report of the Numediart Research Program, 3 (1), 1-4.

Mancas, M., & Gosselin, B. (2010). Dense crowd analysis through bottom-up and top-down attention [Paper presentation]. Proc. of the Brain Inspired Cognitive Sytems (BICS 2010), Madrid, Spain.

Mancas, M., Glowinski, D., Volpe, G., Camurri, A., Bretéché, P., Demeyer, J., Ravet, T., & Coletta, P. (01 August 2009). Real-time motion attention and expressive gesture interfaces. Journal on Multimodal User Interfaces, 2 (3-4), 187-198.
Peer Reviewed verified by ORBi

Mancas, M., Ravet, T., Mahmoudi, S., Hidot, S., Tilmanne, J., Chessini Bose, R., & Machy, C. (31 March 2009). Natural interaction between real and virtual world. Quarterly Progress Scientific Report of the Numediart Research Program, 2 (1), 1-8.

Mancas, M. (2009). Relative influence of bottom-up and top-down attention. In Attention in cognitive systems (pp. 212-226). Springer Berlin/Heidelberg.

Mancas, M., Glowinski, D., Bretéché, P., Demeyer, J., Ravet, T., Volpe, G., Camurri, A., & Coletta, P. (2009). Tracking-dependent and interactive video projection [Paper presentation]. International Summer Workshop on Multimodal Interfaces, Paris, France.

Mancas, M., Bagein, M., Guichard, N., Hidot, S., Machy, C., Mahmoudi, S., & Siebert, X. (01 December 2008). Project # 4.3 : augmented virtual studio. Quarterly Progress Scientific Report of the Numediart Research Program, 1 (4), 147-155.

Mancas, M., Glowinski, D., Bretéché, P., Demeyer, J., Ravet, T., Volpe, G., Camurri, A., & Coletta, P. (01 September 2008). Project # 3.1 : tracking-dependent and interactive video projection. Quarterly Progress Scientific Report of the Numediart Research Program, 1 (3).

Couvreur, L., Bettens, F., Drugman, T., Dubuisson, T., Dupont, S., Frisson, C., Jottrand, M., & Mancas, M. (01 June 2008). Project # 2.3 : audio thumbnailing. Quarterly Progress Scientific Report of the Numediart Research Program, 1 (2), 67-85.

Mancas, M. (2008). Image Perception : Relative Inluence of Bottom-up and Top-Down Attention [Paper presentation]. 5th International Workshop on Attention in Cognitive Systems, Santorin, Greece.

Mancas, M., Gosselin, B., & Macq, B. (2008). Attention-based Pathology Visualization in Head and Neck Area [Paper presentation]. Liège Image Days (1st), Liège, Belgium.

Couvreur, L., Bettens, F., Drugman, T., Frisson, C., Jottrand, M., Mancas, M., & Moinet, A. (01 March 2008). Project # 1.1 : audio skimming. Quarterly Progress Scientific Report of the Numediart Research Program, 1 (1), 1-16.

Thillou, C., Brouse, A., Filatriau, J.-J., Paco-Rocchia, S., Sebbe, R., Tilmanne, J., Todoroff, T., & Mancas, M. (01 March 2008). Project #2: Sensor-based Mini-Comedia. Quarterly Progress Scientific Report of the Numediart Research Program, 1 (1), 17-34.

Thillou, C., & Mancas, M. (2007). Comparison between Pen-scanner and Digital Camera Acquisition for Engraved Character Recognition [Paper presentation]. 2nd International Workshop on Camera-Based Document Analysis and Recognition, Curitiba, Brazil.

Mancas, M., Gosselin, B., & Macq, B. (01 September 2007). Perceptual Image Representation. International Journal of Image and Video Processing, 2007.
Peer Reviewed verified by ORBi

Mancas, M. (2007). Computational Attention : Towards Attentive Computers. Presses Universitaires de Louvain.

Bettens, F., Couvreur, L., Hancq, J., & Mancas, M. (25 June 2007). Normalized Auditory Attention Levels for Automatic Audio Surveillance [Paper presentation]. International Conference on Safety and Security Engineering, Malta.

Mancas, M., Couvreur, L., Gosselin, B., & Macq, B. (2007). Computational Attention for Event Detection [Paper presentation]. A ICVS Workshop on Computational Attention & Applications, Bielefeld, Germany.

Mancas, M., Unay, D., Gosselin, B., & Macq, B. (2007). Computational Attention for Defect Localisation [Paper presentation]. A ICVS Workshop on Computational Attention & Applications, Bielefeld, Germany.

Mancas, M., Gosselin, B., & Macq, B. (2007). A Three-Level Computational Attention Model [Paper presentation]. A ICVS Workshop on Computational Attention & Applications, Bielefeld, Germany.

Moustakas, K., Strintzis, M. G., Tzovaras, D., Carbini, S., Viallet, J.-E., Raidt, S., Mancas, M., Dimiccoli, M., Yaggi, E., Balci, S., Leon, I., & Bernier, O. (2006). Masterpiece: Physical Interaction and 3D Content-Based Search in VR Applications. IEEE Multimedia, 92-100.
Peer Reviewed verified by ORBi

Mancas, M., Gosselin, B., & Macq, B. (2005). Fast and Automatic Tumoral Area Localisation Using Symmetry [Paper presentation]. IEEE ICASSP Conference, Philadelphia, United States - Pennsylvania.

Thillou, C., Mancas, M., & Gosselin, B. (2005). Camera-based Degraded Character Segmentation into Individual Components [Paper presentation]. IEEE International Conference on Documents Analysis and Recognition (ICDAR 2005) Seoul, Corée, Seoul, South Korea.

Mancas, M., Gosselin, B., & Macq, B. (2005). Segmentation Using a Region Growing Thresholding [Paper presentation]. Electronic Imaging Conference of the Internatiional Society for Optical Imaging, San Jose, United States.

Gosselin, B., Mancas, M., & Macq, B. (2005). Tumor Detection using Airways Asymmetry [Paper presentation]. IEEE EMBC, Shangaï, China.

Thillou, C., Gosselin, B., & Mancas, M. (2005). Segmentation en Caractères Individuels dans des Images de Scènes Naturelles [Paper presentation]. GRETSI Conference, Louvain-la-Neuve, Belgium.

Mancas, M., & Gosselin, B. (2004). Iterative watersheds: a novel fuzzy segmentation technique [Paper presentation]. Medical Imaging Conference of the International Society for Optical Imaging, San Diego, United States - California.

Mancas, M., & Gosselin, B. (2004). Towards an automatic tumor segmentation using iterative watersheds [Paper presentation]. Medical Imaging Conference of the International Society for Optical Imaging, San Diego, United States - California.

Mancas, M., Gosselin, B., & Macq, B. (2004). Automatic Fast Detection of Tumor suspect areas on CT Scan [Paper presentation]. IEEE VIS 2004 Conference, Austin, United States - Texas.

Mancas, M., Gosselin, B., & Macq, B. (2004). Risk Areas Segmentation for Radiotherapy Planning using Distance Maps [Paper presentation]. Optical Imaging at the NIH, Washington DC, United States - District of Columbia.

Mancas, M., & Gosselin, B. (2003). Fuzzy Tumor Segmentation based on Iterative Watersheds [Paper presentation]. 14th Pro RISC workshop on Circuits, Systems and Signal Processing, Veldhoven, Netherlands.

Mancas, M., & Gosselin, B. (2003). Iterative Watersheds and Fuzzy Tumor Visualization [Paper presentation]. IEEE Visualization Conference, Seattle, United States - Washington.

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