Articles in journals
Selection (complete list on Scholar)
Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey
O. Siméoni, É. Zablocki, S. Gidaris. G. Puy, P. Pérez
Int. J. Computer Vision, 2024 [page, code]
MOCA: Self-supervised representation learning by predicting masked online codebook assignments
S. Gidaris, A. Bursuc, O. Simeoni, A. Vobecky, N. Komodakis, M. Cord, P. Pérez
Transactions on Machine Learning Research, 2024
LiDARTouch: Monocular metric depth estimation with a few-beam LiDAR
F. Bartoccioni, É. Zablocki, P. Pérez, M. Cord, K. Alahari
Computer Vision and Image Understanding, 227, 2023 [code]
Explainability of vision-based autonomous driving systems: Review and challenges
E. Zabloki, H. Ben-Younes, P. Pérez, M. Cord
International Journal on Computer Vision, 130:2425–2452, 2022 [blog post]
Spherical Perspective on Learning with Normalization Layers
S. Roburin, Y. de Mont-Marin, A. Bursuc, R. Marlet, P. Pérez, M. Aubry
Neurocomputing, 487:66-74, 2022 [code]
Cross-modal learning for domain adaptation in 3D semantic segmentation
M. Jaritz, T.-H. Vu, R. de Charette, É. Wirbel, P. Pérez
IEEE Trans. on Pattern Analysis and Machine Intelligence,45:1533-1544, 2022 [code]
Driving behavior explanation with multi-level fusion
H. Ben-Younes, É. Zablocki, P. Pérez, M. Cord
Pattern Recognition,123, 2021 [code]
Detecting 32 pedestrian attributes for autonomous vehicles
T. Mordan, M. Cord, P. Pérez, A. Alahi
IEEE Trans. on Intelligent Transportation Systems, 23(8):11823-11835, 2021 [code]
Handling new target classes in semantic segmentation with domain adaptation
M. Bucher, T.-H. Vu, M. Cord, P. Pérez
Computer Vision and Image Understanding, 212, 2021 [page]
Confidence estimation via auxiliary models
Ch. Corbière, N. Thome, A. Saporta, T.-H. Vu, M. Cord, P. Pérez
IEEE Trans. on Pattern Analysis and Machine Intelligence, 44(10):6043-6055, 2021 [code,page]
Deep reinforcement learning for autonomous driving: A survey
B. Ravi Kiran, I. Sobh, V. Talpaert, P. Mannion, A. Al Sallab, S. Yogamani, P. Pérez
IEEE Trans. on Intelligent Transportation Systems, 23(6):4909-4926, 2021
ROAM: a Rich Object Appearance Model with Application to Rotoscoping
J.-M. Pérez-Rua, O. Miksik, T. Crivelli, P. Bouthemy, P. Torr and P. Pérez
IEEE Trans. on Pattern Analysis and Machine Intelligence, 42(8):1996-2010, 2020
High-fidelity monocular face reconstruction based on an unsupervised model-based face autoencoder
A. Tewari, M. Zollhöfer, F. Bernard, P. Garrido, H. Kim, P. Pérez, Ch. Theobalt
IEEE Trans. on Pattern Analysis and Machine Intelligence, 42(2):357-370, 2020 [page]
Weakly supervised representation learning for audio-visual scene analysis
S. Parekh, S. Essid, A. Ozerov, N. QK Duong, P. Pérez, G. Richard
IEEE Trans. Audio, Speech and Language Proc. 28:416-428, 2020
Adversarial frontier stitching for remote neural network watermarking
E. Le Merrer, P. Pérez, G. Trédan
Neural Computing and Applications, 2019
Solving time domain audio inverse problems using nonnegative tensor factorization
C. Bilen, A. Ozerov, P. Pérez
IEEE Trans. on Signal Processing, 66(21):5604 - 5617, 2018
Deep video portraits
H. Kim, P. Garrido, A. Tewari, W. Xu, J. Thies, M. Niessner, P. Pérez, Ch. Richardt, M. Zollhöfer, Ch. Theobalt
ACM Tran. on Graphics (Proc. Siggraph 2018), 37(4):1-14, 2018
State of the art on monocular 3D face Reconstruction, tracking, and applications
M. Zollhoefer, J. Thies, P. Garrido, D. Bradley, T.Beeler, P. Pérez, M. Stamminger, M. Niessner, Ch. Theobalt
Computer Graphics Forum (Eurographics State of the Art Reports 2018), 37(2), 2018
Sketching for large scale learning of mixture models
N. Keriven, A. Bourrier, R. Gribonval, P. Pérez
Information & Inference, 2017
Structured sampling and fast reconstruction of smooth graph signals
G. Puy and P. Pérez
Information & Inference, 2017
Non-local patch-based image inpainting
A Newson, A Almansa, Y Gousseau, P Pérez
Image Processing On Line 7, 373-385, 2017 [online demo]
Visual object trapping
T. Crivelli, P. Pérez, L. Oisel
Computer Vision and Image Understanding, 153:3-15, 2016
Object-guided motion estimation
J.M. Pérez-Rua, T. Crivelli, P. Pérez
Computer Vision and Image Understanding, 153:88-99, 2016
Corrective 3D reconstruction of lips from monocular video
P. Garrido, M. Zolhöfer, C. Wu, D. Bradley, P. Pérez, Th. Beeler, Ch. Theobalt
ACM Trans. on Graphics (Proc. Siggraph Asia 2016), 35(6), 2016
Reconstruction of personalized 3D face rigs from monocular video
P. Garrido, M. Zollhoefer, D. Casas, L. Valgaerts, K. Varanasi, P. Perez, Ch. Theobalt
ACM Trans. on Graphics, 35(3):1-15, 2016 - Presented at Siggraph 2016
Sparse multi-view consistency for object segmentation
A. Djelouah, J.S. Franco, F. Le Clerc, P. Pérez and E. Boyer
IEEE Trans. Pattern Anal. Machine Intell. , 37(9):1890-190, 2015
Nearest neighbor search for arbitrary kernels with explicit embeddings
A. Bourrier, F. Perronnin, R. Gribonval, P.Pérez and H. Jégou
J. Mathematical Imaging and Vision, 52(3):459-468, 2015.
Robust optical flow integration
T. Crivelli, M. Fradet, P.-H. Conze, Ph. Robert, P. Pérez
IEEE Trans. Image Processing, 24(1):484-498, 2015
Fundamental performance limits for ideal decoders in high-dimensional linear inverse problems
A. Bourrier, M. Davis, T. Peleg, P. Pérez, R. Gribonval
IEEE Trans. Information Theory, 60(12):7928-7946, 2014
Video inpainting of complex scenes
A. Newson, A. Almansa, M. Fradet, Y. Gousseau, P. Pérez
SIAM Journal on Imaging Sciences, 7(4):1993-2019, 2014 [project]
Stochastic level set dynamics to track closed curves through image data
Ch. Avenel, E. Mémin, P. Pérez
J. Mathematical Imaging and Vision, 49(2): 296-316, 2014
Perceptual principles for video classification with Slow Feature Analysis
Ch. Thériault, N. Thome, M. Cord and P. Pérez
IEEE J. Selec. Topics Signal Proc., 8(3): 428-437, 2014
Robust automatic line scratch detection in films
A. Newson, A. Almansa, Y. Gousseau, P. Pérez
IEEE Trans. Image Processing, 23(3): 1240-1254, 2014 [project]
Aggregating local image descriptors into compact codes
H. Jégou, F. Perronnin, M. Douze, J. Sánchez, P. Pérez, C. Schmid
IEEE Trans. Pattern Anal. Machine Intell., 34(9), 2012 [code]
Geometrically guided exemplar-based inpainting
F. Cao, Y. Gousseau, S. Masnou and P. Pérez
SIAM J. Imaging Sciences, 4(4): 1143–1179, 2011
Multiscale neighborhood-wise decision fusion for redundancy detection in image pairs
Ch. Kervrann , J. Boulanger , Th. Pécot, P. Pérez and J. Salamero
SIAM J. Multiscale Modeling and Simulation, 9(4): 1829-1865, 2011
View-independent action recognition from temporal self-similarities
I. Junejo, E. Dexter, I. Laptev, P. Pérez
IEEE Trans. Pattern Anal. Machine Intell. 33(1):172-185, 2011
Geodesic image and video editing
A. Criminisi, T. Sharp, C. Rother, P. Pérez
ACM Trans. Graphics, 29(5), 2010 - Presented at Siggraph 2011
Detection and segmentation of moving objects in complex scenes
A. Bugeau, P. Pérez
Vision and Image Understanding, 13(4):459-476, 2009
Posterior Cramer-Rao bounds for multi-target tracking
C. Hue, J.-P. Le Cadre, P. Pérez
IEEE Trans. on Aerospace and Electronic Systems, 42(1):37-49, 2006
Monte Carlo filtering for multi-target tracking and data association
J. Vermaak, S. Godsill, P. Pérez
IEEE Trans. on Aerospace and Electronic Systems, 41(1):309-332, 2005
Data fusion for visual tracking with particles
P. Pérez, J. Vermaak, A. Blake
Proc. IEEE, 92(3):495-513, 2004
Region filling and object removal by exemplar-based inpainting
A. Criminisi, P. Pérez, K. Toyama
IEEE Trans. Image Processing, 13(9):1200-1212, 2004
Poisson image editing
P. Pérez, M. Gangnet, A. Blake
ACM Trans. Graphics (SIGGRAPH’03), 22(3):313-318, 2003
Extraction of singular points from dense motion fields: an analytic approach
T. Corpetti, E. Mémin, P. Pérez
Journal of Mathematical Imaging and Vision, 19(3):175-198, 2003
Hierarchical estimation and segmentation of dense motion fields
E. Mémin, P. Pérez
Int. Journal of Computer Vision, 46(2):129-155, 2002
Dense estimation of fluid flows
T. Corpetti, E. Mémin, P. Pérez
IEEE Trans. Pattern Anal. Machine Intell., 24(3):365-380, 2002
Non-parametric motion characterization using causal probabilistic models for video indexing and retrieval
R. Fablet, P. Bouthemy, P. Pérez
IEEE Trans. on Image Processing, 11(4):393-407, 2002
Sequential Monte Carlo methods for multiple target tracking and data fusion
C. Hue, J.-P. Le Cadre, P. Pérez
IEEE Trans. on Signal Processing, 50(2):309-325, 2002
Tracking multiple objects with particle filtering
C. Hue, J.-P. Le Cadre, P. Pérez
IEEE Trans. on Aerospace and Electronic Systems, 38(3):791-812, 2002
Hierarchical estimation of a dense deformation field for 3D robust registration
P. Hellier, C. Barillot, E. Mémin, P. Pérez
IEEE Trans. Medical Imaging, 20(5):388-402, 2001
Sonar image segmentation using a hierarchical MRF model
M. Mignotte, C. Collet, P. Pérez, P. Bouthemy
IEEE Trans. Image Proc., 9(7):1216-1231, 2000
Discrete Markov modeling and inference on the quad-tree
J.-M. Laferté, P. Pérez, F. Heitz
IEEE Trans. Image Proc., 9(3):390-404, 2000
Markov random fields and images
P. Pérez
CWI Quarterly, 11(4):413-437, 1998
Dense optical flow estimation and object-based segmentation with robust techniques
E. Mémin, P. Pérez
IEEE Trans. on Image Processing, 7(5):703-719, 1998
Restriction of a Markov random field on a graph and multiresolution statistical image modeling
P. Pérez, F. Heitz
IEEE Trans. on Information Theory, 42(1):180-190, 1996
Multiscale minimization of global energy functions in some visual recovery problems
F. Heitz, P. Pérez, P. Bouthemy
CVGIP : Image Understanding, 59(1):125-134, 1994