Search Publication
] . Histogram computation based on image bitwise decomposition. In ICIP 2009. 2009.
. HMM recognition of expressions in unrestrained video intervals. In International conference on Acoustics, Speech, and Signal Processing. 2003. pp. 197–200.
. How are digital images compressed in the web?. In: . Applied signal processing. 2009. pp. 265–310.
. How are digital TV programs compressed to allow broadcasting?. In: . Applied signal processing. 2009. pp. 311–359.
. How can physicians quantify brain degeneration?. In: . Applied signal processing. 2009. pp. 411–449.
. How does digital cinema compress images?. In: . Applied signal processing. 2009. pp. 361–410.
. How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language. In CVPR 2021. 2021. 
(5.94 MB)
(5.94 MB). Human body analysis using depth data. . Universitat Politècnica de Catalunya (UPC); 2013. (10.67 MB)
(10.67 MB). Human eye localization using edge projections. In International Conference on Computer Vision Theory and Applications, VISAPP 2007. 2007. pp. 410–415.
. Human face segmentation and tracking using connected components and partition projection. In 1999 IEEE INternational Conference on Image Processing. 1999.
. Human Model and Motion Based 3D Action Recognition in Multiple View Scenarios. In 14th European Signal Processing Conference. 2006. pp. 1–1.
. Human motion capture using scalable body models. Computer vision and image understanding. 2011;115:1363–1374.
. Human Motion Capture with Scalable Body Models. . Universitat Politècnica de Catalunya (UPC); 2009. (13.45 MB)
(13.45 MB). HybridNet for Depth Estimation and Semantic Segmentation. In ICASSP 2018. Calgary, Alberta, Canada: IEEE; 2018. (1.14 MB)
(1.14 MB). HyperFast: Instant Classification for Tabular Data. In 38th Annual AAAI Conference on Artificial Intelligence (AAAI). 2024. (3.15 MB)
(3.15 MB). Hyperparameter-Free Losses for Model-Based Monocular Reconstruction. In ICCV 2019 Workshop on Geometry Meets Deep Learning. Seoul, South Corea: IEEE / Computer Vision Foundation; 2019. (749.7 KB)
(749.7 KB). Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights. In NeurIPS 2022 - Neural Information Processing Systems. 2022. (4.6 MB)
(4.6 MB). Hyper-Representations: Learning from Populations of Neural Networks. . University of St. Gallen. 2024. (18.12 MB)
(18.12 MB). Hyperspectral image representation and Processing with Binary Partition Trees. . Universitat Politècnica de Catalunya (UPC); 2011. (20.92 MB)
(20.92 MB). Hyperspectral image representation and processing with Binary Partition Trees. IEEE Transactions on Image Processing. 2013;22(4):1430 - 1443. (1.81 MB)
(1.81 MB). Hyperspectral image segmentation using binary partition trees. In IEEE International Conference on Image Processing, ICIP 2011. Brussels, Belgium; 2011. pp. 1273–1276. (669.46 KB)
(669.46 KB). Identifying brain ageing trajectories using variational autoencoders with regression model in neuroimaging data stratified by sex and validated against dementia-related risk factors. In 7th International Workshop on PRedictive Intelligence in MEdicine, MICCAI 2024. 2024.
. Identifying brain ageing trajectories using variational autoencoders. In PRedictive Intelligence in MEdicine. Springer International Publishing; 2025.
. Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge. In MICCAI - Multimodal Brain Tumor Segmentation Challenge. 2018.
. Image Analysis and Understanding Based on Information Theoretical Region Merging Approaches for Segmentation and Cooperative Fusion. In Handbook of Research on Computational Intelligence for Engineering, Science, and Business. IGI Global; 2012. pp. 75-121.