Tomás Crivelli

According to our database, Tomás Crivelli authored at least 24 papers between 2006 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

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

2018

Learning how to be robust: Deep polynomial regression.

Juan-Manuel Pérez-Rúa, Tomás Crivelli, Patrick Bouthemy, Patrick Pérez

CoRR, 2018

2016

Object-guided motion estimation.

Juan-Manuel Pérez-Rúa, Tomás Crivelli, Patrick Pérez

Comput. Vis. Image Underst., 2016

Visual object trapping.

Tomás Crivelli, Patrick Pérez, Lionel Oisel

Comput. Vis. Image Underst., 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

Hierarchical motion decomposition for dynamic scene parsing.

Juan-Manuel Pérez-Rúa, Tomás Crivelli, Patrick Pérez, Patrick Bouthemy

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Determining Occlusions from Space and Time Image Reconstructions.

Juan-Manuel Pérez-Rúa, Tomás Crivelli, Patrick Bouthemy, Patrick Pérez

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Discovering motion hierarchies via tree-structured coding of trajectories.

Juan-Manuel Pérez-Rúa, Tomás Crivelli, Patrick Pérez, Patrick Bouthemy

Proceedings of the British Machine Vision Conference 2016, 2016

2015

Robust Optical Flow Integration.

Tomás Crivelli, Matthieu Fradet, Pierre-Henri Conze, Philippe Robert, Patrick Pérez

IEEE Trans. Image Process., 2015

Background-foreground tracking for video object segmentation.

Juan-Manuel Pérez-Rúa, Tomás Crivelli, Patrick Pérez

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014

Dense Long-term Motion Estimation via Statistical Multi-step Flow.

Pierre-Henri Conze, Philippe Robert, Tomás Crivelli, Luce Morin

Proceedings of the VISAPP 2014, 2014

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 motion estimation between distant frames: Combinatorial multi-step integration and statistical selection.

Pierre-Henri Conze, Tomás Crivelli, Philippe Robert, Luce Morin

Proceedings of the IEEE International Conference on Image Processing, 2013

2012

From optical flow to dense long term correspondences.

Tomás Crivelli, Pierre-Henri Conze, Philippe Robert, Patrick Pérez

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Multi-step flow fusion: towards accurate and dense correspondences in long video shots.

Tomás Crivelli, Pierre-Henri Conze, Philippe Robert, Matthieu Fradet, Patrick Pérez

Proceedings of the British Machine Vision Conference, 2012

2011

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

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

Model Distribution Dependant Complexity Estimation on Textures.

Agustin Mailing, Tomás Crivelli, Bruno Cernuschi-Frías

Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010

Complexity-based border detection for textured images.

Tomás Crivelli, Agustin Mailing, Agustin Cernuschi-Frías

Proceedings of the IEEE International Conference on Acoustics, 2010

2009

Learning mixed-state Markov models for statistical motion texture tracking.

Tomás Crivelli, Patrick Bouthemy, Bruno Cernuschi-Frías, Jian-Feng Yao

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

2008

Recognition of Dynamic Video Contents Based on Motion Texture Statistical Models.

Tomás Crivelli, Bruno Cernuschi-Frías, Patrick Bouthemy, Jian-Feng Yao

Proceedings of the VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008, 2008

Temporal modeling of motion textures with mixed-sates Markov chains.

Tomás Crivelli, Bruno Cernuschi-Frías, Patrick Bouthemy, Jian-Feng Yao

Proceedings of the IEEE International Conference on Acoustics, 2008

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

Proceedings of the Computer Vision, 2008

2006

Mixed-State Markov Random Fields for Motion Texture Modeling and Segmentation.

Tomás Crivelli, Bruno Cernuschi-Frías, Patrick Bouthemy, Jian-Feng Yao

Proceedings of the International Conference on Image Processing, 2006