Carles Ventura

Contributions while at GPI

Journal Articles

2019
C. Ventura, Varas, D., Vilaplana, V., Giró-i-Nieto, X., and Marques, F., “Multiresolution co-clustering for uncalibrated multiview segmentation”, Signal Processing: Image Communication, 2019. DOI Google Scholar BibTex (4.35 MB)

2013
C. Ventura, Vilaplana, V., Giró-i-Nieto, X., and Marqués, F., “Improving retrieval accuracy of Hierarchical Cellular Trees for generic metric spaces”, Multimedia Tools and Applications, 2013. DOI Google Scholar BibTex (1.97 MB)

Book Chapters and Books

2012
C. Ventura, Martos, M., Giró-i-Nieto, X., Vilaplana, V., and Marqués, F., “Hierarchical Navigation and Visual Search for Video Keyframe Retrieval”, in Advances in Multimedia Modeling, vol. 7131, Springer Berlin / Heidelberg, 2012, pp. 652-654. DOI Google Scholar BibTex

Conference Papers

2021
I. Kazakos, Bellver-Bueno, M., Ventura, C., Silberer, C., and Giró-i-Nieto, X., “SynthRef: Generation of Synthetic Referring Expressions for Object Segmentation”, in NAACL Visually Grounded Interaction and Language (ViGIL) Workshop, Virtual, 2021. Google Scholar BibTex (794.97 KB)

2020
M. Gonzalez-i-Calabuig, Ventura, C., and Giró-i-Nieto, X., “Curriculum Learning for Recurrent Video Object Segmentation”, in ECCV 2020 Women in Computer Vision Workshop, 2020. Google Scholar BibTex (1.76 MB)
M. Bellver-Bueno, Ventura, C., Silberer, C., Kazakos, I., Torres, J., and Giró-i-Nieto, X., “RefVOS: A Closer Look at Referring Expressions for Video Object Segmentation”, in arXiv, 2020. Google Scholar BibTex (10.03 MB)

2019
C. Ventura, Bellver, M., Girbau, A., Salvador, A., Marqués, F., and Giró-i-Nieto, X., “RVOS: End-to-End Recurrent Network for Video Object Segmentation”, in CVPR, Long Beach, CA, USA, 2019. Google Scholar BibTex (5.76 MB)
A. Herrera-Palacio, Ventura, C., and Giró-i-Nieto, X., “Video Object Linguistic Grounding”, in ACM Multimedia Workshop on Multimodal Understanding and Learning for Embodied Applications (MULEA), Nice, France, 2019. Google Scholar BibTex (441.12 KB)

Theses

2016
C. Ventura, “Visual Object Analysis using Regions and Local Features”, 2016. Google Scholar BibTex (2.5 MB)

Other

2021
X. Giró-i-Nieto and Ventura, C., “Object Detection with Deep Learning”. 2021. Google Scholar BibTex	Presentation
M. Escobar, “Object Model Adaptation for Multiple Object Tracking”, 2021. Google Scholar BibTex (785.3 KB)	Report

2020
M. Gonzalez-i-Calabuig, “Curriculum Learning for Recurrent Video Object Segmentation”. 2020. Google Scholar BibTex	Ms Thesis
X. Giró-i-Nieto and Ventura, C., “Image Segmentation with Deep Learning”. 2020. Google Scholar BibTex	Presentation

2019
A. Herrera-Palacio, “Recurrent Instance Segmentation with Linguistic Referring Expressions”. 2019. Google Scholar BibTex (3.6 MB)	Ms Thesis

Projects

	BigGraph - Heterogeneous information and graph signal processing for the Big Data era. Application to high-throughput, remote sensing, multimedia and human computer interfaces.	National	Jan 2014	Dec 2017
	SGR14 - Image and Video Processing Group	National	Jan 2014	Apr 2017
	MuViPro - Multicamera Video Processing	National	Jan 2011	Aug 2014
	SGR09 - Processament de Video Multicamera	National	Oct 2009	Dec 2013
	Buscamedia - Hacia una adaptación semántica de medios digitales multi-red multi-terminal	National	Jan 2010	Dec 2012

Research Areas

Multimedia Retrieval

Internal

Sep
2001

Dec
2018

Demos and Resources

	Automatic Keyframe Selection over TVC database	Results	Jun 2013
	GOS, Graphical Object Searcher	Software	Jul 2012

Teaching activity

Acronym	Title	Level	College
AIDL	Artificial Intelligence with Deep Learning	Postgraduate	UPC School