Search Publication

Gené-Mola J, Sanz R, Rosell-Polo JR, Morros JR, Ruiz-Hidalgo J, Vilaplana V, et al.. Fuji-SfM dataset: A collection of annotated images and point clouds for Fuji apple detection and location using structure-from-motion photogrammetry. 2020;Data in Brief(Vol. 30).

• DOI
• Google Scholar
• BibTex

Gené-Mola J, Sanz R, Rosell-Polo JR, Morros JR, Ruiz-Hidalgo J, Vilaplana V, et al.. Fuji-SfM dataset: A collection of annotated images and point clouds for Fuji apple detection and location using structure-from-motion photogrammetry. 2020;Data in Brief(Vol. 30).

• DOI
• Google Scholar
• BibTex

Kazakos I. Generation of Synthetic Referring Expressions for Object Segmentation in Videos. Giró-i-Nieto X. 2020.

• Google Scholar
• BibTex

 (4.14 MB)

García-Gómez P, Royo S, Rodrigo N, Casas J. Geometric Model and Calibration Method for a Solid-State LiDAR. Sensors. 2020;20(10):2898.

• DOI
• Google Scholar
• BibTex

 (3.37 MB)

Specia L, Barrault L, Caglayan O, Duarte A, Elliott D, Gella S, et al.. Grounded Sequence to Sequence Transduction. IEEE Journal of Selected Topics in Signal Processing. 2020;14(3):577-591.

• Google Scholar
• BibTex

Giró-i-Nieto X. Image and Video Object Segmentation with Low Supervision. 2020.

• Google Scholar
• BibTex

Giró-i-Nieto X, Ventura C. Image Segmentation with Deep Learning. 2020.

• Google Scholar
• BibTex

Muschik P. Learn2Sign : sign language recognition and translation using human keypoint estimation and transformer model. Duarte A, Giró-i-Nieto X. 2020.

• DOI
• Google Scholar
• BibTex

 (5.32 MB)

Bellver M, Salvador A, Torres J, Giró-i-Nieto X. Mask-guided sample selection for Semi-Supervised Instance Segmentation. Multimedia Tools and Applications. 2020;.

• DOI
• Google Scholar
• BibTex

 (2.2 MB)

Casamitjana A, Vilaplana V, Puch S, Aduriz A, Lopez C, Operto G, et al.. NeAT: a nonlinear analysis toolbox for neuroimaging. Neuroinformatics. 2020;.

• DOI
• Google Scholar
• BibTex

Giró-i-Nieto X. One Perceptron to Rule Them All: Language, Vision, Audio and Speech (tutorial). In ACM International Conference on Multimedia Retrieval (ICMR) 2020. Dublin, Ireland: ACM; 2020.

• DOI
• Google Scholar
• BibTex

 (313.96 KB)

Puntí C. PixInPix: Hidding Pixels in Pixels. McGuinness K, Canton-Ferrer C, Giró-i-Nieto X. 2020.

• Google Scholar
• BibTex

 (2.13 MB)

Casamitjana A, Petrone P, Molinuevo JLuis, Gispert JD, Vilaplana V. Projection to Latent Spaces disentangles pathological effects on brain morphology in the asymptomatic phase of Alzheimer’s disease. Frontiers in Neurology, section Applied Neuroimaging. 2020;11.

• Google Scholar
• BibTex

Mañas O. Self-Supervised Visual Representation Learning for Remote Sensing. Rodríguez P, Giró-i-Nieto X. 2020.

• Google Scholar
• BibTex

Puig-Sitjes A, Jakubowski M, Fellinger J, Drewelow P, Gao Y, Niemann H, et al.. Strategy for the real-time detection of thermal events on the plasma facing components of Wendelstein 7-X. In 31st Symposium on Fusion Technology (SOFT2020). Dubrovnik, Croatia; 2020.

• Google Scholar
• BibTex

Oriol B, Luque J, Diego F, Giró-i-Nieto X. Transcription-Enriched Joint Embeddings or Spoken Descriptions of Images and Videos. In CVPR 2020 Workshop on Egocentric Perception, Interaction and Computing. Seattle, WA, USA: arXiv; 2020.

• Google Scholar
• BibTex

 (96.79 KB)

Aguilar J. 2D-to-3D Lifting of Sign Language Body Poses with Recurrent Neural Networks. Giró-i-Nieto X, Duarte A. Barcelona: UPC ETSETB TelecomBCN; 2021 .

• Google Scholar
• BibTex

 (340.44 KB)

Cumplido-Mayoral I, Shekari M, Salvadó G, Operto G, Cacciaglia R, Falcon C, et al.. Brain structural alterations in cognitively unimpaired individuals with discordant amyloid-β PET and CSF Aβ42 status: findings using Machine Learning. In Alzheimer's Association International Conference. 2021.

• Google Scholar
• BibTex

Giró-i-Nieto X. Deep Learning Representations for All (a.ka. the AI hype). 2021.

• Google Scholar
• BibTex

 (10.95 MB)

Geleta M, Mas-Montserrat D, Bustamante C, Giró-i-Nieto X, Ioannidis AG. Deep variational autoencoders for population genetics: applications in classification, imputation, dimensionality reduction, and novel lossless data compression. In American Society of Human Genetics (ASHG). Virtual: ASHG; 2021.

• Google Scholar
• BibTex

Geleta M, Mas-Montserrat D, Bustamante C, Giró-i-Nieto X, Ioannidis AG. Deep variational autoencoders for population genetics: applications in classification, imputation, dimensionality reduction, and novel lossless data compression. In American Society of Human Genetics (ASHG). Virtual: ASHG; 2021.

• Google Scholar
• BibTex

García-Gómez P. Development of a multimodal imaging system based on LIDAR. Royo S, Casas J. Optics and Optometry Department. Universitat Politècnica de Catalunya; 2021.

• DOI
• Google Scholar
• BibTex

Nieto JJosé. Discovery and Learning of Navigation Goals from Pixels in Minecraft. Campos V, Giró-i-Nieto X. 2021.

• Google Scholar
• BibTex

 (16.15 MB)

Caselles P. Disentangling neural network structure from the weights space. Schürholt K, Borth D, Giró-i-Nieto X. 2021.

• Google Scholar
• BibTex

 (17.1 MB)

Tarrés L, Górriz M, Giró-i-Nieto X, Mrak M. GAN-based Image Colourisation with Feature Reconstruction Loss. In CVPR 2021 Women in Computer Vision Workshop. Virtual; 2021.

• Google Scholar
• BibTex

 (4.2 MB)