[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!

Deep Extreme Cut: From Extreme Points to Object Segmentation

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

arXiv:1803.00557, 2018

[PDF] [Website] [BibTex]

@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

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018

[PDF] [Website] [BibTex]

@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

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

arXiv:1704.00675, 2017

[PDF] [Website] [BibTex]

@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

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}
}

Pineapple

App that allows placing virtual food on your yet empty plate in a restaurant — so that you can always see what you get before you order it!

With N. Kobyshev.

HackZurich 2017

[Video] [More info] [Media] [Media]

Well2Go

Project carried out in collaboration with ESADE and IED students to improve public health by providing safe access to water. We developed a sensor network able to detect the state of the wells in developing countries, bringing real time information to a platform to ensure their maintenance. The project was the winner of the CBI Mediterranean 2015.

With A. Gran, F. Haddad, T. Mendes, B. Rosàs, N. Tsvetkov.

Challenge Based Innovation, IdeaSquare CERN 2016

[Video] [More info] [Media] [Media]

CityFlow

Platform that provides real-time information about hot areas in Barcelona, based on the information given by the geolocalization of Instagram posts uploaded in the city. It was selected for the Global Urban DataFest Contest.

With R. Boada, M. Dalmases, A. Fernàndez, A. Gómez, M. Martí.

Barcelona Smart Cities Hackathon 2015

[Video] [More info]