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ORCIDMatei Mancas
- > Home > Persons > Matei Mancas
Publications
- 2023
[c52]François Rocca
, Madison Dave, Valérie Duvivier, Agnès Van Daele, Marc Demeuse, Antoine Derobertmasure, Matei Mancas, Bernard Gosselin:
Designing an Assistance Tool for Analyzing and Modeling Trainer Activity in Professional Training Through Simulation. IMX 2023: 180-187- [c51]Elias Ennadifi, Thierry Ravet, Matei Mancas, Mohammed El Amine Mokhtari, Bernard Gosselin:
Enhancing VR Gaming Experience using Computational Attention Models and Eye-Tracking. IMX 2023: 194-198 - [c49]Mohammed El Amine Mokhtari, Elias Ennadifi, Matei Mancas, Bernard Gosselin:
ActioNet: A Lightweight Architecture for Efficient Action Recognition. VRST 2023: 42:1-42:2 - [i9]Nathan Hubens, Victor Delvigne, Matei Mancas, Bernard Gosselin, Marius Preda, Titus B. Zaharia:
Induced Feature Selection by Structured Pruning. CoRR abs/2303.10999 (2023) - 2022
- [c48]Mohammed El Amine Mokhtari, Virginie Vandenbulcke, Sohaib Laraba, Matei Mancas, Elias Ennadifi, Mohamed Lamine Tazir, Bernard Gosselin:
Semi-synthetic Data for Automatic Drone Shadow Detection. ESANN 2022 - [c47]Nathan Hubens, Matei Mancas, Bernard Gosselin, Marius Preda, Titus B. Zaharia:
Improve Convolutional Neural Network Pruning by Maximizing Filter Variety. ICIAP (1) 2022: 379-390 - [c46]Nathan Hubens, Matei Mancas, Bernard Gosselin, Marius Preda, Titus B. Zaharia:
One-Cycle Pruning: Pruning Convnets With Tight Training Budget. ICIP 2022: 4128-4132 - [i8]Nathan Hubens, Matei Mancas, Bernard Gosselin, Marius Preda, Titus B. Zaharia:
Improve Convolutional Neural Network Pruning by Maximizing Filter Variety. CoRR abs/2203.05807 (2022) - [i7]Ratha Siv, Matei Mancas, Bernard Gosselin, Dona Valy, Sokchenda Sreng:
People Tracking and Re-Identifying in Distributed Contexts: Extension Study of PoseTReID. CoRR abs/2205.10086 (2022) - 2021
- [i6]Nathan Hubens, Matei Mancas, Bernard Gosselin, Marius Preda, Titus B. Zaharia:
One-Cycle Pruning: Pruning ConvNets Under a Tight Training Budget. CoRR abs/2107.02086 (2021) - [i5]Phutphalla Kong, Matei Mancas, Bernard Gosselin, Kimtho Po:
DeepRare: Generic Unsupervised Visual Attention Models. CoRR abs/2109.11439 (2021) - [i4]Nathan Hubens, Matei Mancas, Bernard Gosselin, Marius Preda, Titus B. Zaharia:
An Experimental Study of the Impact of Pre-training on the Pruning of a Convolutional Neural Network. CoRR abs/2112.08227 (2021) - 2020
- [c45]Nathan Hubens, Matei Mancas, Marc Decombas, Marius Preda, Titus B. Zaharia, Bernard Gosselin, Thierry Dutoit:
An Experimental Study of the Impact of Pre-Training on the Pruning of a Convolutional Neural Network. APPIS 2020: 28:1-28:6 - [i3]Matei Mancas, Phutphalla Kong, Bernard Gosselin:
Visual Attention: Deep Rare Features. CoRR abs/2005.12073 (2020) - 2019
- [c43]Alexandre Milisavljevic, Thomas Le Bras, Matei Mancas, Coralie Petermann, Bernard Gosselin, Karine Doré-Mazars:
Towards a better description of visual exploration through temporal dynamic of ambient and focal modes. ETRA 2019: 66:1-66:4 - 2018
- [c42]Alexandre Milisavljevic, Kevin Hamard, Coralie Petermann, Bernard Gosselin, Karine Doré-Mazars, Matei Mancas:
Eye and Mouse Coordination During Task: From Behaviour to Prediction. VISIGRAPP (2: HUCAPP) 2018: 86-93 - [c40]Phutphalla Kong, Matei Mancas, Nimol Thuon, Seng Kheang, Bernard Gosselin:
Do Deep-Learning Saliency Models Really Model Saliency? ICIP 2018: 2331-2335 - 2017
- [c39]Pierre Marighetto, Antoine Coutrot, Nicolas Riche, Nathalie Guyader, Matei Mancas, Bernard Gosselin, Robert Laganière:
Audio-visual attention: Eye-tracking dataset and analysis toolbox. ICIP 2017: 1802-1806 - 2016
- [c37]Pierre Marighetto, I. Hadj Abdelkader, S. Duzelier, Marc Decombas, Nicolas Riche, Jérémie Jakubowicz, Matei Mancas, Bernard Gosselin, Robert Laganière:
FUNNRAR: Hybrid rarity/learning visual saliency. ICIP 2016: 2782-2786 - 2015
- [j7]François Rocca, Matei Mancas, Fabien Grisard, Julien Leroy, Thierry Ravet, Bernard Gosselin:
Head pose estimation & TV Context: current technology. EAI Endorsed Trans. Creative Technol. 2(3): e2 (2015) - [c36]Ioannis Cassagne, Nicolas Riche, Marc Decombas, Matei Mancas, Bernard Gosselin, Thierry Dutoit, Robert Laganière:
Video saliency based on rarity prediction: Hyperaptor. EUSIPCO 2015: 1521-1525 - [c33]Marc Decombas, Pierre Marighetto, Matei Mancas, Ioannis Cassagne, Nicolas Riche, Bernard Gosselin, Thierry Dutoit, Robert Laganière:
An evaluation criterion of saliency models for video seam carving. MMSP 2015: 1-6 - 2014
- [c32]François Rocca, Matei Mancas, Bernard Gosselin:
Head Pose Estimation by Perspective-n-Point Solution Based on 2D Markerless Face Tracking. INTETAIN 2014: 67-76 - 2013
- [j4]Nicolas Riche, Matei Mancas, Matthieu Duvinage, Makiese Mibulumukini, Bernard Gosselin, Thierry Dutoit:
RARE2012: A multi-scale rarity-based saliency detection with its comparative statistical analysis. Signal Process. Image Commun. 28(6): 642-658 (2013) - [c30]Nicolas Riche, Matthieu Duvinage, Matei Mancas, Bernard Gosselin, Thierry Dutoit:
Saliency and Human Fixations: State-of-the-Art and Study of Comparison Metrics. ICCV 2013: 1153-1160 - [c28]Makiese Mibulumukini, Nicolas Riche, Matei Mancas, Bernard Gosselin, Thierry Dutoit:
Biologically plausible context recognition algorithms. ICIP 2013: 2612-2616 - [c27]Marc Decombas, Nicolas Riche, Frédéric Dufaux, Béatrice Pesquet-Popescu, Matei Mancas, Bernard Gosselin, Thierry Dutoit:
Spatio-temporal saliency based on rare model. ICIP 2013: 3451-3455 - [c24]Julien Leroy, François Rocca, Matei Mancas, Bernard Gosselin:
3D Head Pose Estimation for TV Setups. INTETAIN 2013: 55-64 - [c22]Radhwan Ben Madhkour, Ludovic Burczykowski, Matei Mancas, Bernard Gosselin:
Image Surround: Automatic Projector Calibration for Indoor Adaptive Projection. INTETAIN 2013: 156-162 - [c21]Radhwan Ben Madhkour, Matei Mancas, Bernard Gosselin:
Automatic Geometric Projector Calibration - Application to a 3D Real-time Visual Feedback. VISAPP (2) 2013: 420-424 - [c20]Julien Leroy, François Rocca, Matei Mancas, Bernard Gosselin:
Second screen interaction: an approach to infer tv watcher's interest using 3d head pose estimation. WWW (Companion Volume) 2013: 465-468 - [e1]Matei Mancas, Nicolas D'Alessandro, Xavier Siebert, Bernard Gosselin, Carlos Valderrama, Thierry Dutoit:
Intelligent Technologies for Interactive Entertainment - 5th International ICST Conference, INTETAIN 2013, Mons, Belgium, July 3-5, 2013, Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 124, Springer 2013, ISBN 978-3-319-03891-9 [contents] - [i1]Nicolas Riche, Matthieu Duvinage, Matei Mancas, Bernard Gosselin, Thierry Dutoit:
A study of parameters affecting visual saliency assessment. CoRR abs/1307.5691 (2013) - 2012
- [c19]Nicolas Riche, Matei Mancas, Dubravko Culibrk, Vladimir S. Crnojevic, Bernard Gosselin, Thierry Dutoit:
Dynamic Saliency Models and Human Attention: A Comparative Study on Videos. ACCV (3) 2012: 586-598 - [c18]Nicolas Riche, Matei Mancas, Bernard Gosselin, Thierry Dutoit:
Rare: A new bottom-up saliency model. ICIP 2012: 641-644 - 2011
- [c16]Matei Mancas, Nicolas Riche, Julien Leroy, Bernard Gosselin, Thierry Dutoit:
Toward a Social Attentive Machine. AAAI Fall Symposium: Robot-Human Teamwork in Dynamic Adverse Environment 2011 - [c13]Matei Mancas, Nicolas Riche, Julien Leroy, Bernard Gosselin:
Abnormal motion selection in crowds using bottom-up saliency. ICIP 2011: 229-232 - [c12]Nicolas Riche, Matei Mancas, Bernard Gosselin, Thierry Dutoit:
3D Saliency for Abnormal Motion Selection: The Role of the Depth Map. ICVS 2011: 143-152 - [c11]Julien Leroy, Nicolas Riche, François Zajéga, Matei Mancas, Joëlle Tilmanne, Bernard Gosselin, Thierry Dutoit:
The Attentive Machine: Be Different! INTETAIN 2011: 249-251 - 2007
- [j2]Matei Mancas, Bernard Gosselin, Benoît Macq:
Perceptual Image Representation. EURASIP J. Image Video Process. 2007 (2007) - 2006
- [c6]Matei Mancas, Céline Mancas-Thillou, Bernard Gosselin, Benoît Macq:
A Rarity-Based Visual Attention Map - Application to Texture Description. ICIP 2006: 445-448 - [c5]Matei Mancas, Bernard Gosselin, Benoît Macq:
Segmentation using a region-growing thresholding. Image Processing: Algorithms and Systems 2006: 388-398 - 2005
- [c4]Matei Mancas, Bernard Gosselin, Benoît Macq:
Fast and Automatic Tumoral Area Localisation using Symmetry. ICASSP (2) 2005: 725-728 - [c3]Céline Mancas-Thillou, Matei Mancas, Bernard Gosselin:
Camera-based Degraded Character Segmentation into Individual Components. ICDAR 2005: 755-759 - 2004
- [c2]Matei Mancas, Bernard Gosselin:
Towards an automatic tumor segmentation using iterative watersheds. Medical Imaging: Image Processing 2004 - [c1]Matei Mancas, Bernard Gosselin, Benoît Macq:
Automatic Fast Detection of Tumor Suspect Areas on CT Scan. IEEE Visualization 2004: 33
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