Search Publication

Gonzalez-i-Calabuig M, Ventura C, 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)

Domenech T. Clasificación de imágenes dermatoscópicas utilizando Redes Neuronales Convolucionales e información de metadatos. Vilaplana V. 2019.

• Google Scholar
• BibTex

Tarrés L. Clasificación de lesiones de piel con un ensemble de redes neuronales residuales. Vilaplana V, Combalia M. 2019.

• Google Scholar
• BibTex

Isart A, Espasa M, Vilaplana V, Sayrol E. CNN-based bacilli detection in sputum samples for tuberculosis diagnosis. In International Symposium on Biomedical Imaging (ISBI 2019). 2019.

• Google Scholar
• BibTex

Salgueiro L, Marcello J, Vilaplana V. Comparative study of upsampling methods for super-resolution in remote sensing. In International Conference on Machine Vision. 2019.

• Google Scholar
• BibTex

Salvador A. Computer Vision beyond the visible: Image understanding through language. Giró-i-Nieto X, Marqués F. Signal Theory and Communications. [Barcelona]: Universitat Politecnica de Catalunya; 2019.

• Google Scholar
• BibTex

Pujol-Miró A, Casas J, Ruiz-Hidalgo J. Correspondence matching in unorganized 3D point clouds using Convolutional Neural Networks. Image and Vision Computing. 2019;83-84.

• DOI
• Google Scholar
• BibTex

 (3.95 MB)

Duarte A. Cross-modal Neural Sign Language Translation. In: Torres J, Giró-i-Nieto X. Proceedings of the 27th ACM International Conference on Multimedia - Doctoral Symposium. Nice, France: ACM; 2019.

• DOI
• Google Scholar
• BibTex

 (392.69 KB)

Casamitjana A, Catà M, Sánchez I, Combalia M, Vilaplana V. Cascaded V-Net Using ROI Masks for Brain Tumor Segmentation. In Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2017. Crimi A., Bakas S., Kuijf H., Menze B., Reyes M. (eds). Cham: Springer; 2018. pp. 381-391.

• DOI
• Google Scholar
• BibTex

Petrone P, Casamitjana A, Falcon C, Artigues M, Operto G, Skouras S, et al.. Characteristic Brain Volumetric Changes in the AD Preclinical Signature. In Alzheimer's Association International Conference. Chicago, USA; 2018.

• Google Scholar
• BibTex

Petrone P, Casamitjana A, Falcon C, Artigues M, Operto G, Skouras S, et al.. Characteristic Brain Volumetric Changes in the AD Preclinical Signature. Alzheimer's & Dementia: The Journal of the Alzheimer's Association. 2018;14(7):P1235.

• DOI
• Google Scholar
• BibTex

Pelegrí JBustos. Clasificación de imágenes histológicas mediante redes neuronales convolucionales. Combalia M, Vilaplana V. 2018.

• Google Scholar
• BibTex

Fojo D, Campos V, Giró-i-Nieto X. Comparing Fixed and Adaptive Computation Time for Recurrent Neural Network. In International Conference on Learning Representations (ICLR). Vancouver, Canada; 2018.

• Google Scholar
• BibTex

 (515.54 KB)

Surís D, Duarte A, Salvador A, Torres J, Giró-i-Nieto X. Cross-modal Embeddings for Video and Audio Retrieval. In ECCV 2018 Women in Computer Vision Workshop. Munich, Germany: Springer; 2018.

• DOI
• Google Scholar
• BibTex

 (1.07 MB)

Jiménez A. Class Weighted Convolutional Features for Image Retrieval. Giró-i-Nieto X, Álvarez JM. 2017.

• Google Scholar
• BibTex

Jiménez A, Álvarez JM, Giró-i-Nieto X. Class Weighted Convolutional Features for Visual Instance Search. In 28th British Machine Vision Conference (BMVC). London, UK; 2017.

• Google Scholar
• BibTex

 (3.56 MB)

Martínez PA, Lin X, Castelán M, Casas J, Arechavaleta G. A closed-loop approach for tracking a humanoid robot using particle filtering and depth data. Intelligent Service Robotics. 2017;10(4):297–312.

• DOI
• Google Scholar
• BibTex

 (88.92 KB)

van Sabben D, Ruiz-Hidalgo J, Suau X, Casas J. Collaborative voting of 3D features for robust gesture estimation. In International Conference on Acoustics, Speech and Signal Processing. New Orleans, USA; 2017.

• Google Scholar
• BibTex

 (605.86 KB)

Górriz M, Giró-i-Nieto X, Carlier A, Faure E. Cost-Effective Active Learning for Melanoma Segmentation. In ML4H: Machine Learning for Health Workshop at NIPS 2017. Long Beach, CA, USA; 2017.

• Google Scholar
• BibTex

 (521.82 KB)

Poignant J, Budnik M, Bredin H, Barras C, Stefas M, Bruneau P, et al.. The CAMOMILE Collaborative Annotation Platform for Multi-modal, Multi-lingual and Multi-media Documents. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016). Portorož (Slovenia); 2016.

• Google Scholar
• BibTex

 (679.91 KB)

Fernàndez D. Clustering and Prediction of Adjective-Noun Pairs for Affective Computing. Campos V, Jou B, Giró-i-Nieto X, Chang S-F. 2016.

• Google Scholar
• BibTex

 (10.38 MB)

Panizo E. Classification techniques for Alzheimer’s disease early diagnosis. Vilaplana V. 2015.

• Google Scholar
• BibTex

 (5.86 MB)

Cabezas F. Co-filtering human interaction and object segmentation. Carlier A, Salvador A, Giró-i-Nieto X, Charvillat V. 2015.

• Google Scholar
• BibTex

 (1.82 MB)

Vela ESañoso. Combinar imágenes y hábitos musicales para mejorar los sistemas de recomendación de música. Vilaplana V, Morros JRamon. 2015.

• Google Scholar
• BibTex

Salvador A, Zeppelzauer M, Manchon-Vizuete D, Calafell A, Giró-i-Nieto X. Cultural Event Recognition with Visual ConvNets and Temporal Models. In CVPR ChaLearn Looking at People Workshop 2015. 2015.

• Google Scholar
• BibTex

 (1.09 MB)