Mixed-State Markov Random Fields for Motion Texture Modeling and Segmentation. - Tomás Crivelli; Bruno Cernuschi-Frías; Patrick Bouthemy; Jian-Feng Yao (ICIP, 2006)

Simultaneous Motion Detection and Background Reconstruction with a Mixed-State Conditional Markov Random Field. - Tomás Crivelli; Gwenaëlle Piriou; Patrick Bouthemy; Bruno Cernuschi-Frías; Jian-Feng Yao (ECCV (1), 2008)

Temporal modeling of motion textures with mixed-sates Markov chains. - Tomás Crivelli; Bruno Cernuschi-Frías; Patrick Bouthemy; Jian-Feng Yao (ICASSP, 2008)

Recognition of Dynamic Video Contents Based on Motion Texture Statistical Models. - Tomás Crivelli; Bruno Cernuschi-Frías; Patrick Bouthemy; Jian-Feng Yao (VISAPP (1), 2008)

Learning mixed-state Markov models for statistical motion texture tracking. - Tomás Crivelli; Patrick Bouthemy; Bruno Cernuschi-Frías; Jian-Feng Yao (ICCV Workshops, 2009)

Complexity-based border detection for textured images. - Tomás Crivelli; Agustin Mailing; Agustin Cernuschi-Frías (ICASSP, 2010)

Model Distribution Dependant Complexity Estimation on Textures. - Agustin Mailing; Tomás Crivelli; Bruno Cernuschi-Frías (ISVC (3), 2010)

Mixed-state causal modeling for statistical KL-based motion texture tracking. - Tomás Crivelli; Bruno Cernuschi-Frías; Patrick Bouthemy; Jian-Feng Yao (Pattern Recognit. Lett., 2010)

Simultaneous Motion Detection and Background Reconstruction with a Conditional Mixed-State Markov Random Field. - Tomás Crivelli; Patrick Bouthemy; Bruno Cernuschi-Frías; Jian-Feng Yao (Int. J. Comput. Vis., 2011)

Multi-step flow fusion: towards accurate and dense correspondences in long video shots. - Tomás Crivelli; Pierre-Henri Conze; Philippe Robert; Matthieu Fradet; Patrick Pérez (BMVC, 2012)

From optical flow to dense long term correspondences. - Tomás Crivelli; Pierre-Henri Conze; Philippe Robert; Patrick Pérez (ICIP, 2012)

Dense motion estimation between distant frames: Combinatorial multi-step integration and statistical selection. - Pierre-Henri Conze; Tomás Crivelli; Philippe Robert; Luce Morin (ICIP, 2013)

Motion Textures: Modeling, Classification, and Segmentation Using Mixed-State Markov Random Fields. - Tomás Crivelli; Bruno Cernuschi-Frías; Patrick Bouthemy; Jian-Feng Yao (SIAM J. Imaging Sci., 2013)

Dense Long-term Motion Estimation via Statistical Multi-step Flow. - Pierre-Henri Conze; Philippe Robert; Tomás Crivelli; Luce Morin (VISAPP (3), 2014)

Background-foreground tracking for video object segmentation. - Juan-Manuel Pérez-Rúa; Tomás Crivelli; Patrick Pérez (ICIP, 2015)

Robust Optical Flow Integration. - Tomás Crivelli; Matthieu Fradet; Pierre-Henri Conze; Philippe Robert; Patrick Pérez (IEEE Trans. Image Process., 2015)

Discovering motion hierarchies via tree-structured coding of trajectories. - Juan-Manuel Pérez-Rúa; Tomás Crivelli; Patrick Pérez; Patrick Bouthemy (BMVC, 2016)

Determining Occlusions from Space and Time Image Reconstructions. - Juan-Manuel Pérez-Rúa; Tomás Crivelli; Patrick Bouthemy; Patrick Pérez (CVPR, 2016)

Hierarchical motion decomposition for dynamic scene parsing. - Juan-Manuel Pérez-Rúa; Tomás Crivelli; Patrick Pérez; Patrick Bouthemy (ICIP, 2016)

Multi-reference combinatorial strategy towards longer long-term dense motion estimation. - Pierre-Henri Conze; Philippe Robert; Tomás Crivelli; Luce Morin (Comput. Vis. Image Underst., 2016)

Visual object trapping. - Tomás Crivelli; Patrick Pérez; Lionel Oisel (Comput. Vis. Image Underst., 2016)

Object-guided motion estimation. - Juan-Manuel Pérez-Rúa; Tomás Crivelli; Patrick Pérez (Comput. Vis. Image Underst., 2016)

Learning how to be robust: Deep polynomial regression. - Juan-Manuel Pérez-Rúa; Tomás Crivelli; Patrick Bouthemy; Patrick Pérez (CoRR, 2018)

ROAM: A Rich Object Appearance Model with Application to Rotoscoping. - Juan-Manuel Pérez-Rúa; Ondrej Miksik; Tomás Crivelli; Patrick Bouthemy; Philip H. S. Torr; Patrick Pérez (IEEE Trans. Pattern Anal. Mach. Intell., 2020)