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


Main Referenced Co-authors
GOSSELIN, Bernard  (60)
DUTOIT, Thierry  (21)
Riche, Nicolas  (21)
Leroy, Julien  (14)
ROCCA, François  (12)
Main Referenced Keywords
Electrical and Electronic Engineering (3); attention (2); Computer Networks and Communications (2); Computer Vision (2); Control and Systems Engineering (2);
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 (104)
Physics (44)
Electrical & electronics engineering (22)
Library & information sciences (19)
Mathematics (4)

Publications (total 130)

The most downloaded
98 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
187 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 presented at international Computer Vision, Sydney, Australia. https://hdl.handle.net/20.500.12907/41517

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

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 session presented at 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 session presented at 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 presented at 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.
Peer reviewed

Hubens, N., Mancas, M., Gosselin, B., Preda, M., & Zaharia, T. (2021). One-Cycle Pruning: Pruning ConvNets Under a Tight Training Budget. Paper presented at 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 presented at 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 presented at Canadian Conference on Computer and Robot Vision, Ottawa, Canada.

Mancas, M., Kong, P., Gosselin, B., & Seng, S. (2020). Visual Attention: Deep Rare Features. Paper presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at IEEE International Conference on Image Processing, Phoenix, United States - Arizona.

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, 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. (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.

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., 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.

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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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. Paper presented at 28th International Conference on Computer Animation and Social Agents (CASA 2015), Singapour, Singapore.

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 presented at 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 presented at 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.

Mancas, M. (2014). Rapport semestre 3 Projet Predattor.

Mancas, M. (2014). Rapport année 2 Projet Predattor.

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

Decombas, M., Riche, N., Dufaux, F., Pesquet-Popescu, B., Mancas, M., Gosselin, B., & Dutoit, T. (2013). Spatio-Temporal Saliency Based on Rare Model. Paper presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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

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

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.

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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at ICIP 2011 : 2011 IEEE International Conference on Image Processing, Bruxelles, Belgium.

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). From saliency to eye gaze: embodied visual selection for a pan-tilt-based robotic head. Paper presented at International Symposium on Visual Computing (ISVC), Las Vegas, United States - Nevada.

Mancas, M., Pirri, F., & Pizzoli, M. (2011). Human-motion saliency in multi-motion scenes and in close interaction. Paper presented at 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 presented at 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 presented at INTETAIN 2011, Genoa, Italy.

Leroy, J., Mancas, M., & Gosselin, B. (2011). Personal space augmented reality tool. Paper presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at Liège Image Days (1st), Liège, Belgium.

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.

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., & Mancas, M. (2007). Comparison between Pen-scanner and Digital Camera Acquisition for Engraved Character Recognition. Paper presented at 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 presented at International Conference on Safety and Security Engineering, Malta.

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

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

Mancas, M., Couvreur, L., Gosselin, B., & Macq, B. (2007). Computational Attention for Event Detection. Paper presented at 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

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

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

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

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

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

Mancas, M., & Gosselin, B. (2004). Iterative watersheds: a novel fuzzy segmentation technique. Paper presented at 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 presented at 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 presented at 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 presented at 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 presented at 14th Pro RISC workshop on Circuits, Systems and Signal Processing, Veldhoven, Netherlands.

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

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