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Schelkens P, Munteanu A, Barbarien J, Galca M, Giró-i-Nieto X, Cornelis J. Wavelet coding of volumetric medical datasets. Medical Imaging, IEEE Transactions on. 2003;22:441 -458.
Schelkens P, Giró-i-Nieto X, Barbarien J, Cornelis J. 3D compression of medical data based on cube-splitting and embedded block coding. In ProRISC/IEEE Workshop. Veldhoven, The Netherlands; 2000.
Schreer O, Thomas G, Niamut O, Macq J, Kochale A, Batke J, et al.. Format-agnostic approach for production, delivery and rendering of immersive media. In Networked and Electronic Media Summit. 2011. p. –.  (3.19 MB)
Schreer O, Macq J, Niamut O, Ruiz-Hidalgo J, Shirley B, Thallinger G, et al.. Media Production, Delivery and Interaction for Platform Independent Systems. Wiley, ISBN 978-1-118-60533-2; 2014.
Schrenk B, Theodoropoulou E, Lyberopoulos G, Marcus C, Eriksson O, Lázaro JA, et al.. 6G-EWOC: Optical Wireless Communication in Support of Autonomous Driving. In IEEE Future Networks World Forum: Symposium on Future Networks for Connected and Automated Mobility . Dubai: IEEE; 2024.  (1.22 MB)
Schürholt K, Taskiran D, Knyazev B, Giró-i-Nieto X, Borth D. Model Zoos: A Dataset of Diverse Populations of Neural Network Models. In NeurIPS. 2022.  (937.59 KB)
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)
Schürholt K. Hyper-Representations: Learning from Populations of Neural Networks. Mahoney M, Giró-i-Nieto X, Borth D. University of St. Gallen. 2024.  (18.12 MB)
Schürholt K, Taskiran D, Knyazev B, Giró-i-Nieto X, Borth D. Model Zoos: A Dataset of Diverse Populations of Neural Network Models. In NeurIPS 2022 Track Datasets and Benchmarks. New Orleans, Louisiana, USA.; 2022.  (937.59 KB)
Seguí A, Ugalde A, Ventosa S, Morros JR. Lossless and Lossy Compression for Distributed Acoustic Sensing Using Inter-channel Predictions. In SSA Photonic Seismology 2024. Vancouver; 2024.
Seguí A, Ugalde A, Fichtner A, Ventpsa S, Morros JR. DASPack: Controlled Data Compression for Distributed Acoustic Sensing. Geophysical Journal International. In Press;.
Segura C, Abad A, Casas J, Hernando J. Multimodal Head Orientation towards Attention Tracking in Smart Rooms. In 2007 International Conference on Acoustics, Speech and Signal Processing. 2007.  (230.03 KB)
Serra J, Salembier P. Mathematical morphology and its applications to signal processing. Barcelona: Universitat Politècnica de Catalunya (UPC); 1993.
Serra J, Salembier P. Opérateurs connexes et pyramides. In In Proc. of RFIA. Paris, France; 1994.
Serra J, Salembier P. Connected operators and pyramids. In SPIE Image Algebra and Mathematical Morphology. San Diego (CA), USA; 1993. pp. 65–76.
Shou Z, Pan J, Chan J, Miyazawa K, Mansour H, Vetro A, et al.. Online Action Detection in Untrimmed, Streaming Videos. In European Conference on Computer Vision (ECCV). Munich, German; 2018.  (450.1 KB)
Solé J, Salembier P. Adaptive Quadratic Interpolation Methods for Lifting Steps Construction. In IEEE International Symposium on Signal Processing and Information Technology, , ISSPIT 2006. Vancouver, Canada; 2006. pp. 1–8.
Solé J, Salembier P. Generalized lifting prediction optimization applied to lossless image compression. IEEE signal processing letters. 2007;14:695–698.  (142.63 KB)
Solé J, Salembier P. A Common Formulation for Interpolation, Prediction, and Update Lifting Design,. In IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2006. Toulouse, France; 2006. pp. 1–4.  (94.86 KB)
Solé J, Salembier P. Quadratic Interpolation and Linear Lifting Design. Eurasip Journal on Applied Signal Processing. 2007;1:1–9.  (876.4 KB)
Solé J. Optimization and Generalization of Lifting Schemes: Application to Lossless Image Compression. Universitat Politècnica de Catalunya (UPC); 2006.
Solé J, Salembier P. Prediction design for discrete generalized lifting. In Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2004. Brussels, Belgium; 2004. pp. 78–82.  (348.28 KB)
Solé J, Salembier P. Adaptive Discrete Generalized Lifting for Lossless Compression. In IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2004. Montreal, Canada; 2004. pp. 1–5.  (219.26 KB)
Solé A, Mosella-Montoro A, Cardona J, Gómez-Coca S, Aravena D, Ruiz E, et al.. A Cartesian Encoding Graph Neural Network for Crystal Structures Property Prediction: Application to Thermal Ellipsoid Estimation. Digital Discovery. 2025;.  (10.39 MB)
Solé J, Salembier P. Adaptive Generalized Prediction for Lifting Schemes. In IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2005. Philadelphia, USA; 2005. pp. 205–208.  (231 KB)

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