Selection of publications by topics

Description, Search and Recognition

• H. Jégou, F. Perronnin, M. Douze, J. Sánchez, P. Pérez, C. Schmid. Aggregating local image descriptors into compact codes. IEEE Trans. Pattern Anal. Machine Intell. 33(1), 2011
• Ph. Weinzaepfel, H. Jégou and P. Pérez. Reconstructing an image from its local descriptors. CVPR’2011
• M. Douze, H. Jégou, C. Schmid, P.Pérez. Compact video description for copy detection with precise temporal alignment. ECCV’2010
• H. Jégou, M. Douze, C. Schmid and P.Pérez. Aggregating local descriptors into a compact image representation. CVPR’2010
• J. Vermaak, P. Pérez, M. Gangnet, A. Blake. Rapid summarisation and browsing of video sequences. BMVC'02
• R. Fablet, P. Bouthemy, P. Pérez. Non-parametric motion characterization using causal probabilistic models for video indexing and retrieval. IEEE Trans. Image Processing, 11(4) 2002

Image and video editing

• F. Cao, Y. Gousseau, S. Masnou and P. Pérez. Geometrically guided exemplar-based inpainting. SIAM J. Imaging Sciences. 4(4), 2011
• A. Criminisi, T. Sharp, C. Rother, P. Pérez. Geodesic image and video editing. ACM Trans. Graphics, 29(5), 2010 - Presented to Siggraph 2011
• A. Criminisi, P. Pérez, K. Toyama. Region filling and object removal by exemplar-based inpainting. IEEE Trans. Image Processing, 13(9), 2004
• A. Blake, C. Rother, M. Brown, P. Pérez, Ph. Torr. Interactive image segmentation using an adaptive Gaussian mixture MRF model. ECCV’04
• P. Pérez, M. Gangnet, A. Blake. PatchWorks: Example-based region tiling for image editing. Research Report Microsoft Research, MSR-TR-2004-04, 2004
• P. Pérez, M. Gangnet, A. Blake. Poisson image editing. ACM Trans. Graphics, 22(3), 2003 - Proceedings of Siggraph 2003
• P. Pérez, A. Blake, M. Gangnet. JetStream: probabilistic contour extraction with particles. ICCV'01

Motion detection, estimation and segmentation

• Ch. Kervrann , J. Boulanger , Th. Pécot, P. Pérez and J. Salamero. Multiscale neighborhood-wise decision fusion for redundancy detection in image pairs . SIAM J. Multiscale Modeling and Simulation, 9(4), 2011
• A. Bugeau, P. Pérez. Detection and segmentation of moving objects in complex scenes. Computer Vision and Image Understanding, 13(4), 2009
• M. Fradet, P. Pérez, Ph. Robert. Time-sequential extraction of motion layers. ICIP'08
• M. Fradet, P. Pérez, Ph. Robert. Semi-automatic motion segmentation with motion layer mosaics. ECCV'08
• A. Bugeau, P. Pérez. Detection and segmentation of moving objects in highly dynamic scenes. CVPR’07
• T. Corpetti, E. Mémin, P. Pérez. Dense estimation of fluid flows. IEEE Trans. Pattern Anal. Machine Intell., 24(3), 2002
• E. Mémin, P. Pérez. Hierarchical estimation and segmentation of dense motion fields. Int. Journal of Computer Vision, 46(2), 2002
• E. Mémin, P. Pérez. Fluid motion recovery by coupling dense and parametric fields. ICCV'99
• E. Mémin, P. Pérez. Optical flow estimation and object-based segmentation with robust techniques. IEEE Trans. Image Processing, 7(5), 1998
• E. Mémin, P. Pérez. Joint estimation-segmentation of optic flow. ECCV'98
• E. Mémin, P. Pérez. A multigrid approach to hierarchical motion estimation. ICCV'98
• N. Paragios, P. Pérez, G. Tziritas, C. Labit, P. Bouthemy. Adaptative detection of moving objects using multiscale techniques. ICIP'96

Visual tracking

• A. Bugeau, P. Pérez. Track and Cut: simultaneous tracking and segmentation of multiple objects with graph cuts. J. Image and Video Proc., 2008
• R. Venkatesh Babu, P. Pérez, P. Bouthemy. Robust tracking with motion estimation and local kernel-based color modeling. Image and Vision Comp., 25(8), 2007
• V. Badrinarayanan, P. Pérez, F. Le Clerc, L. Oisel. Probabilistic color and adaptive multi-feature tracking with dynamically switched priority between cues. ICCV’07
• A. Lehuger, P. Lechat, P. Pérez. An adaptive mixture color model for robust visual tracking. ICIP’06
• J. Vermaak, S. Maskell, M. Briers, P. Pérez. Bayesian visual tracking with existence process. ICIP’05
• P. Pérez, J. Vermaak, A. Blake. Data fusion for visual tracking with particles. Proc. IEEE, 92(3), 2004
• J. Vermaak, N. Lawrence, P. Pérez. Variational inference for visual tracking. CVPR'03
• J. Vermaak, A. Doucet, P. Pérez. Maintaining multi-modality through mixture tracking. ICCV'03
• P. Pérez, C. Hue, J. Vermaak, M. Gangnet. Color-based probabilistic tracking. ECCV'02
• J. Vermaak, P. Pérez, M. Gangnet, A. Blake. Towards improved observation models for visual tracking: selective adaptation. ECCV'02
• J. Vermaak, A. Blake, M. Gangnet, P. Pérez. Sequential Monte Carlo fusion of sound and vision for speaker tracking. ICCV'01
• C. Kervrann, F. Davoine, P. Pérez, H. Li, R. Forcheimer, C. Labit. Generalized likelihood ratio-based face detection and extraction of mouth features. Pattern Recognition Letters, 18(9), 1998

Multi-target tracking

• C. Hue, J.-P. Le Cadre, P. Pérez. Posterior Cramer-Rao bounds for multi-target tracking. IEEE Trans. Aerospace and Electronic Systems, 42(1), 2006
• J. Vermaak, S. Godsill, P. Pérez. Monte Carlo filtering for multi-target tracking and data association. IEEE Trans. Aerospace and Electronic Systems, 41(1), 2005
• C. Hue, J.-P. Le Cadre, P. Pérez. Tracking multiple objects with particle filtering. IEEE Trans. Aerospace and Electronic Systems, 38(3), 2002
• C. Hue, J.-P. Le Cadre, P. Pérez. Sequential Monte Carlo methods for multiple target tracking and data fusion. IEEE Trans. Signal Processing, 50(2), 2002
• J. Vermaak, S. Maskell, M. Briers, P. Pérez. Multi-target tracking and existence. Fusion’05

Motion analysis and recognition

• T. Corpetti, E. Mémin, P. Pérez. Extraction of singular points from dense motion fields: an analytic approach. J. Math. Imaging and Vision, 19(3), 2003
• R. Fablet, P. Bouthemy, P. Pérez. Non-parametric motion characterization using causal probabilistic models for video indexing and retrieval. IEEE Trans. Image Processing, 11(4) 2002
• I.N. Junejo, E. Dexter, I. Laptev, P. Pérez. Cross-view action recognition from temporal self-similarities. ECCV'08
• I. Laptev, P. Pérez. Retrieving actions in movies. ICCV’07
• I. Laptev, S. Belongie, P. Pérez, J. Wills. Periodic motion detection and segmentation via approximate sequence alignment. ICCV’05

Markov random fields and application

• J.-N. Provost, C. Collet, P. Rostaing, P. Pérez, P. Bouthemy. Hierarchical Markovian segmentation of multispectral images for the reconstruction of water depth maps. Comp. Vision and Image Understanding, 93(2), 2004
• J.-M. Laferté, P. Pérez, F. Heitz. Discrete Markov modeling and inference on the quad-tree. IEEE Trans. Image Processing, 9(3), 2000
• P. Pérez, A. Chardin, J.-M. Laferté. Noniterative manipulation of discrete energy-based models for image analysis. Pattern Recognition, 33(4), 2000
• M. Mignotte, C. Collet, P. Pérez, P. Bouthemy. Sonar image segmentation using a hierarchical MRF model. IEEE Trans. Image Processing, 9(7), 2000
• M. Mignotte, C. Collet, P. Pérez, P. Bouthemy. Markov random field and fuzzy logic modeling in sonar imagery: application to the classification of underwater floor. Comp. Vision and Image Understanding, 79(1), 2000
• M. Mignotte, C. Collet, P. Pérez, P. Bouthemy. Hybrid genetic optimization and statistical model-based approach for the classification of shadow shapes in sonar imagery. IEEE Trans. Pattern Anal. Machine Intell., 22(2), 2000
• M. Mignotte, C. Collet, P. Pérez, P. Bouthemy. Three-class Markovian segmentation of high resolution sonar images. Comp.Vision and Image Understanding, 76(3), 1999
• A. Chardin, P. Pérez. Unsupervised image classification with a hierarchical EM algorithm. ICCV'99
• P. Pérez. Markov random fields and images. CWI Quarterly, 11(4), 1998
• P. Pérez, F. Heitz. Restriction of a Markov random field on a graph and multiresolution statistical image modeling. IEEE Trans. Information Theory, 42(1), 1996
• J.-M. Laferté, F. Heitz, P. Pérez, E. Fabre. Hierarchical statistical models for the fusion of multiresolution image data. ICCV’95
• F. Heitz, P. Pérez, P. Bouthemy. Multiscale minimization of global energy functions in some visual recovery problems. CVGIP : Image Understanding, 59(1), 1994

Medical imaging

• P. Hellier, C. Barillot, E. Mémin, P. Pérez. Hierarchical estimation of a dense deformation field for 3D robust registration. IEEE Trans. Medical Imaging, 20(5), 2001
• P. Hellier, C. Barillot, E. Mémin, P. Pérez. An energy-based framework for dense 3D registration of volumetric brain image. CVPR'00
• P. Hellier, C. Barillot, E. Mémin, P. Pérez. Medical image registration with robust multigrid techniques. MICCAI’99