I am a PhD student at the Computer Vision Lab in Eidgenössische Technische Hochschule Zürich (ETH Zürich) under the supervision of Prof. Luc Van Gool and the guidance of Dr. Jordi Pont-Tuset. I received a Degree and M.Sc. in Telecommunications Engineering from the Universitat Politecnica de Catalunya (UPC).
I have interned at Bell Labs with Prof. Sebastian Randel and Facebook with Prof. Fernando de la Torre.
My main research interest is segmentation with special focus on video object segmentation by using deep learning.
More info in my CV.
Latest News
[Mar 2019]:
We have published all the details for DAVIS 2019 Challenges.
[Aug 2018]:
We have release all the object categories for DAVIS 2017.
[Jul 2018]:
I am interning in the AR/VR team at Facebook until November 2018.
[Jun 2018]:
The DAVIS Challenge 2018 has finished check the final results and publications.
[May 2018]:
Our extension of OSVOS, OSVOS-S, has been accepted by TPAMI!
[Mar 2018]:
Deep Extreme Cut (DEXTR) was accepted at CVPR 2018!
Publications
Fast video object segmentation with Spatio-Temporal GANs
S. Caelles*
,
A. Pumarola*
,
F. Moreno-Noguer
,
A. Sanfeliu
,
L. Van Gool
arXiv:1903.12161, 2019
@inproceedings{Cae+19,
author = {S. Caelles and A. Pumarola and F. Moreno-Noguer and A. Sanfeliu and L. {Van Gool}},
title = {Fast video object segmentation with Spatio-Temporal GANs},
booktitle = {arXiv:1903.12161},
year = {2019}
}
Deep Extreme Cut: From Extreme Points to Object Segmentation
K.-K. Maninis*
,
S. Caelles*
,
J. Pont-Tuset
,
L. Van Gool
Computer Vision and Pattern Recognition (CVPR), 2018
[PDF]
[Website]
[Code]
[BibTex]
@inproceedings{Man+18,
author = {K.-K. Maninis and S. Caelles and J. Pont-Tuset and L. {Van Gool}},
title = {Deep Extreme Cut: From Extreme Points to Object Segmentation},
booktitle = {Computer Vision and Pattern Recognition (CVPR)},
year = {2018}
}
The 2018 DAVIS Challenge on Video Object Segmentation
S. Caelles
,
A. Montes
,
K.-K. Maninis
,
Y. Chen
,
L. Van Gool
,
F. Perazzi
,
J. Pont-Tuset
arXiv:1803.00557, 2018
@article{Caelles_arXiv_2018,
author = {S. Caelles and A. Montes and K.-K. Maninis and Y. Chen and L. {Van Gool} and F. Perazzi and J. Pont-Tuset},
title = {The 2018 DAVIS Challenge on Video Object Segmentation},
journal = {arXiv:1803.00557},
year = {2018}
}
Video Object Segmentation Without Temporal Information
K.-K. Maninis*
,
S. Caelles*
,
Y. Chen
,
J. Pont-Tuset
,
L. Leal-Taixé
,
D. Cremers
,
L. Van Gool
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018
@Article{Man+18b,
Author = {K.-K. Maninis and S. Caelles and Y. Chen and J. Pont-Tuset and L. Leal-Taix\'e and D. Cremers and L. {Van Gool}},
Title = {Video Object Segmentation Without Temporal Information},
Journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
Year = {2018}
}
Iterative Deep Learning for Road Topology Extraction
C. Ventura
,
J. Pont-Tuset
,
S. Caelles
,
K.-K. Maninis
,
L. Van Gool
British Machine Vision Conference (BMVC), 2018
[PDF]
[Website]
[Code]
[BibTex]
@article{Venture_bmvc_2018,
author = {C. Ventura and J. Pont-Tuset and S. Caelles and K.-K. Maninis and L. {Van Gool}},
title = {Iterative Deep Learning for Road Topology Extraction},
journal = {British Machine Vision Conference (BMVC)},
year = {2018}
}
The 2017 DAVIS Challenge on Video Object Segmentation
J. Pont-Tuset
,
F. Perazzi
,
S. Caelles
,
P. Arbeláez
,
A. Sorkine-Hornung
,
L. Van Gool
arXiv:1704.00675, 2017
@article{Pont-Tuset_arXiv_2017,
author = {J. Pont-Tuset and F. Perazzi and S. Caelles and P. Arbel\'aez and A. Sorkine-Hornung and L. {Van Gool}},
title = {The 2017 DAVIS Challenge on Video Object Segmentation},
journal = {arXiv:1704.00675},
year = {2017}
}
One-Shot Video Object Segmentation
S. Caelles*
,
K.-K. Maninis*
,
J. Pont-Tuset
,
L. Leal-Taixé
,
D. Cremers
,
L. Van Gool
Computer Vision and Pattern Recognition (CVPR), 2017
[PDF]
[Website]
[Code]
[BibTex]
@inproceedings{Cae+17,
Author = {S. Caelles and K.-K. Maninis and J. Pont-Tuset and L. Leal-Taix\'e and D. Cremers and L. {Van Gool}},
Title = {One-Shot Video Object Segmentation},
Booktitle = {Computer Vision and Pattern Recognition (CVPR)},
Year = {2017}
}
Fun projects
With A. Gran, F. Haddad, T. Mendes, B. Rosàs, N. Tsvetkov.
Challenge Based Innovation, IdeaSquare CERN 2016
With R. Boada, M. Dalmases, A. Fernàndez, A. Gómez, M. Martí.
Barcelona Smart Cities Hackathon 2015
[Mar 2019]: We have published all the details for DAVIS 2019 Challenges.
[Aug 2018]: We have release all the object categories for DAVIS 2017.
[Jul 2018]: I am interning in the AR/VR team at Facebook until November 2018.
[Jun 2018]: The DAVIS Challenge 2018 has finished check the final results and publications.
[May 2018]: Our extension of OSVOS, OSVOS-S, has been accepted by TPAMI!
[Mar 2018]: Deep Extreme Cut (DEXTR) was accepted at CVPR 2018!
Publications
Fast video object segmentation with Spatio-Temporal GANs
S. Caelles* , A. Pumarola* , F. Moreno-Noguer , A. Sanfeliu , L. Van GoolarXiv:1903.12161, 2019
@inproceedings{Cae+19,
author = {S. Caelles and A. Pumarola and F. Moreno-Noguer and A. Sanfeliu and L. {Van Gool}},
title = {Fast video object segmentation with Spatio-Temporal GANs},
booktitle = {arXiv:1903.12161},
year = {2019}
}
Deep Extreme Cut: From Extreme Points to Object Segmentation
K.-K. Maninis* , S. Caelles* , J. Pont-Tuset , L. Van GoolComputer Vision and Pattern Recognition (CVPR), 2018
[PDF] [Website] [Code] [BibTex]
@inproceedings{Man+18,
author = {K.-K. Maninis and S. Caelles and J. Pont-Tuset and L. {Van Gool}},
title = {Deep Extreme Cut: From Extreme Points to Object Segmentation},
booktitle = {Computer Vision and Pattern Recognition (CVPR)},
year = {2018}
}
The 2018 DAVIS Challenge on Video Object Segmentation
S. Caelles , A. Montes , K.-K. Maninis , Y. Chen , L. Van Gool , F. Perazzi , J. Pont-TusetarXiv:1803.00557, 2018
@article{Caelles_arXiv_2018,
author = {S. Caelles and A. Montes and K.-K. Maninis and Y. Chen and L. {Van Gool} and F. Perazzi and J. Pont-Tuset},
title = {The 2018 DAVIS Challenge on Video Object Segmentation},
journal = {arXiv:1803.00557},
year = {2018}
}
Video Object Segmentation Without Temporal Information
K.-K. Maninis* , S. Caelles* , Y. Chen , J. Pont-Tuset , L. Leal-Taixé , D. Cremers , L. Van GoolIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018
@Article{Man+18b,
Author = {K.-K. Maninis and S. Caelles and Y. Chen and J. Pont-Tuset and L. Leal-Taix\'e and D. Cremers and L. {Van Gool}},
Title = {Video Object Segmentation Without Temporal Information},
Journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
Year = {2018}
}
Iterative Deep Learning for Road Topology Extraction
C. Ventura , J. Pont-Tuset , S. Caelles , K.-K. Maninis , L. Van GoolBritish Machine Vision Conference (BMVC), 2018
[PDF] [Website] [Code] [BibTex]
@article{Venture_bmvc_2018,
author = {C. Ventura and J. Pont-Tuset and S. Caelles and K.-K. Maninis and L. {Van Gool}},
title = {Iterative Deep Learning for Road Topology Extraction},
journal = {British Machine Vision Conference (BMVC)},
year = {2018}
}
The 2017 DAVIS Challenge on Video Object Segmentation
J. Pont-Tuset , F. Perazzi , S. Caelles , P. Arbeláez , A. Sorkine-Hornung , L. Van GoolarXiv:1704.00675, 2017
@article{Pont-Tuset_arXiv_2017,
author = {J. Pont-Tuset and F. Perazzi and S. Caelles and P. Arbel\'aez and A. Sorkine-Hornung and L. {Van Gool}},
title = {The 2017 DAVIS Challenge on Video Object Segmentation},
journal = {arXiv:1704.00675},
year = {2017}
}
One-Shot Video Object Segmentation
S. Caelles* , K.-K. Maninis* , J. Pont-Tuset , L. Leal-Taixé , D. Cremers , L. Van GoolComputer Vision and Pattern Recognition (CVPR), 2017
[PDF] [Website] [Code] [BibTex]
@inproceedings{Cae+17,
Author = {S. Caelles and K.-K. Maninis and J. Pont-Tuset and L. Leal-Taix\'e and D. Cremers and L. {Van Gool}},
Title = {One-Shot Video Object Segmentation},
Booktitle = {Computer Vision and Pattern Recognition (CVPR)},
Year = {2017}
}
With A. Gran, F. Haddad, T. Mendes, B. Rosàs, N. Tsvetkov.
Challenge Based Innovation, IdeaSquare CERN 2016
With R. Boada, M. Dalmases, A. Fernàndez, A. Gómez, M. Martí.
Barcelona Smart Cities Hackathon 2015