Sergi Caelles

According to our database, Sergi Caelles authored at least 14 papers between 2017 and 2024.

Collaborative distances:

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

2024

Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers.

Aleksandar Stanic, Sergi Caelles, Michael Tschannen

Trans. Mach. Learn. Res., 2024

2022

VCT: A Video Compression Transformer.

Fabian Mentzer, George Toderici, David Minnen, Sergi Caelles, Sung Jin Hwang, Mario Lucic, Eirikur Agustsson

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

Video Object Segmentation: Methods and Datasets.

Sergi Caelles

PhD thesis, 2020

2019

Video Object Segmentation without Temporal Information.

Kevis-Kokitsi Maninis, Sergi Caelles, Yuhua Chen, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, Luc Van Gool

IEEE Trans. Pattern Anal. Mach. Intell., 2019

The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation.

Sergi Caelles, Jordi Pont-Tuset, Federico Perazzi, Alberto Montes, Kevis-Kokitsi Maninis, Luc Van Gool

CoRR, 2019

Fast video object segmentation with Spatio-Temporal GANs.

Sergi Caelles, Albert Pumarola, Francesc Moreno-Noguer, Alberto Sanfeliu, Luc Van Gool

CoRR, 2019

2018

The 2018 DAVIS Challenge on Video Object Segmentation.

Sergi Caelles, Alberto Montes, Kevis-Kokitsi Maninis, Yuhua Chen, Luc Van Gool, Federico Perazzi, Jordi Pont-Tuset

CoRR, 2018

Iterative Deep Retinal Topology Extraction.

Carles Ventura, Jordi Pont-Tuset, Sergi Caelles, Kevis-Kokitsi Maninis, Luc Van Gool

Proceedings of the Patch-Based Techniques in Medical Imaging, 2018

Deep Extreme Cut: From Extreme Points to Object Segmentation.

Kevis-Kokitsi Maninis, Sergi Caelles, Jordi Pont-Tuset, Luc Van Gool

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Iterative Deep Learning for Road Topology Extraction.

Carles Ventura, Jordi Pont-Tuset, Sergi Caelles, Kevis-Kokitsi Maninis, Luc Van Gool

Proceedings of the British Machine Vision Conference 2018, 2018

2017

Iterative Deep Learning for Network Topology Extraction.

Carles Ventura, Jordi Pont-Tuset, Sergi Caelles, Kevis-Kokitsi Maninis, Luc Van Gool

CoRR, 2017

The 2017 DAVIS Challenge on Video Object Segmentation.

Jordi Pont-Tuset, Federico Perazzi, Sergi Caelles, Pablo Arbeláez, Alexander Sorkine-Hornung, Luc Van Gool

CoRR, 2017

Semantically-Guided Video Object Segmentation.

Sergi Caelles, Yuhua Chen, Jordi Pont-Tuset, Luc Van Gool

CoRR, 2017

One-Shot Video Object Segmentation.

Sergi Caelles, Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, Luc Van Gool

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017