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Salvador J, Casas J. Image-adapted voxelization in multicamera settings. In International Workshop on Multimedia Signal Processing. 2006. pp. 161–165.
Salembier P, Garrido L, García D. Image sequence analysis and merging algorithms. In International Workshop on Very Low Bit-rate Video, VLBV'97. Linköping, Sweden; 1997. pp. 1–8.  (366.8 KB)
Giró-i-Nieto X, Ventura C. Image Segmentation with Deep Learning. 2020.
Pont-Tuset J. Image Segmentation Evaluation and Its Application to Object Detection. Marqués F. [Barcelona]: Universitat Politècnica de Catalunya, BarcelonaTech; 2014.  (48.44 MB)
Marqués F, Molina C. Image Segmentation and Object Tracking Method and Corresponding System. International; 1997.
Sayrol E, Gasull A, Nikias C. Image Restoration using the W-Slice Method. IEEE transactions on image processing. 1995;4(8):1174–1181.
Rolón J, Salembier P, Alameda X. Image compression with generalized lifting and partial knowledge of the signal pdf. In IEEE International Conference on Image Processing, ICIP 2008. San Diego, USA; 2008. pp. 250–254.  (830.94 KB)
Casas J. Image compression based on perceptual coding techniques. Torres L. Signal Theory and Communications. [download link]: Universitat Politècnica de Catalunya (UPC); 1996. p. 178.
Canton-Ferrer C, Pardàs M, Vilaplana V. Image and video processing tools for HCI. In Multimodal signal processing: theory and applications for human-computer interaction. 2009. pp. 93–118.
Giró-i-Nieto X. Image and Video Object Segmentation with Low Supervision. 2020.
Bellver M. Image and Video Object Segmentation in Low Supervision Scenarios. Torres J, Giró-i-Nieto X. Computer Architectures. [Barcelona]: Universitat Politecnica de Catalunya; 2021.
Sayrol E, Gasull A. Image analysis using higher-order statistics and the random transfor. In WORKSHOP ON HIGHER-ORDER STATISTICS. 1993.
Sayrol E, Nikias C, Gasull A. Image analysis using higher-order statistics and the radon transfrom. In IEEE SIGNAL PROCESSING WORKSHOP ON HIGH-ORDER-STATISTICS. 1993. pp. 76–80.
Calderero F, Marqués F. 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.
Bakas S, Reyes M, Jakab A, Bauer S, Casamitjana A, Vilaplana V, et al.. 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.
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Valero S, Salembier P, Chanussot J. 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)
Valero S. Hyperspectral image representation and Processing with Binary Partition Trees. Salembier P. Universitat Politècnica de Catalunya (UPC); 2011.  (20.92 MB)
Valero S, Salembier P, Chanussot J. Hyperspectral image representation and processing with Binary Partition Trees. IEEE Transactions on Image Processing. 2013;22(4):1430 - 1443.  (1.81 MB)
Schürholt K, Knyazev B, Giró-i-Nieto X, Borth D. Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights. In NeurIPS 2022 - Neural Information Processing Systems. 2022.  (4.6 MB)
Ramon E, Ruiz G, Batard T, Giró-i-Nieto X. 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)
Bonet D, Mas-Montserrat D, Giró-i-Nieto X, Ioannidis AG. HyperFast: Instant Classification for Tabular Data. In 38th Annual AAAI Conference on Artificial Intelligence (AAAI). 2024.  (3.15 MB)
Sanchez-Escobedo D, Lin X, Casas J, Pardàs M. HybridNet for Depth Estimation and Semantic Segmentation. In ICASSP 2018. Calgary, Alberta, Canada: IEEE; 2018.  (1.14 MB)
Canton-Ferrer C. Human Motion Capture with Scalable Body Models. Casas J, Pardàs M. Universitat Politècnica de Catalunya (UPC); 2009.  (13.45 MB)
Canton-Ferrer C, Casas J, Pardàs M. Human motion capture using scalable body models. Computer vision and image understanding. 2011;115:1363–1374.
Canton-Ferrer C, Canton-Ferrer C, Casas J, Pardàs M. Human Model and Motion Based 3D Action Recognition in Multiple View Scenarios. In 14th European Signal Processing Conference. 2006. pp. 1–1.

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