Publications
2026 (4)Comas J.; Vera A.J.; Vives X.; Filippi E.D.; Pereda A.; Sukno F.. CAST-Phys: Contactless Affective States Through Physiological Signals Database. IEEE Transactions on Affective Computing 2026. |
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Zappe M.; Alomar A.; Linguraru M.G.; Piella G.; Sukno F.M.. Deep learnable spectral decomposition of 3D baby faces. Pattern Recognition 2026; 171. |
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Comas J.; Ruiz A.; Sukno F.. Deep pulse-signal magnification for remote heart rate estimation in compressed videos. Expert Systems with Applications 2026; 314. |
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Alomar A.; Piella G.; Mantilla-Rivas E.; Tapp A.; Porras A.R.; Rubio R.; Maya-Enero S.; Sukno F.M.; Linguraru M.G.. Unlocking 3D baby face photogrammetry: Multi-view BabyMorph reconstruction from uncalibrated photographs. Expert Systems with Applications 2026; 315. |
2025 (4)Waddington J.L.; Sukno F.M.. 3D imaging and geometric morphometrics of facial dysmorphology and asymmetry indicate gestational timings of dysmorphogenesis in schizophrenia and bipolar disorder. European Neuropsychopharmacology 2025; 93(0): 1-2. |
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Alomar A.; Rubio R.; Salort L.; Albaiges G.; Paya A.; Piella G.; Sukno F.. Automatic Facial Axes Standardization of 3D Fetal Ultrasound Images. Lecture Notes in Computer Science 2025; 15186 LNCS(0): 88-98. |
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Morales Muñoz, Maria Araceli; Alomar Adrover, Antònia; Porras Pérez, Antonio Reyes; Linguraru, Marius George; Piella Fenoy, Gemma; Sukno, Federico Mateo. BabyFM: towards accurate 3D baby facial models using spectral decomposition and asymmetry swapping. Computers in Biology and Medicine 2025; 186. |
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Comas Martínez, Joaquim; Ruiz Ovejero, Adrià; Sukno, Federico Mateo. PulseFormer: continuous remote heart rate measurement through zoomed time-spectral attention. IEEE Transactions on Biometrics, Behavior, and Identity Science 2025; 7(4): 1-1. |
2024 (5)Reyes RHN, Fabijanovic D, Vellve K, Loncaric F, Rodriguez-Lopez M, Sepulveda-Martinez A, Sarvari S, Valenzuela-Alcaraz B, Crovetto F, Faner R, Agusti A, Sitges M, Cikes M, Bernardino G, Blanco I, Bijnens B, Crispi F. Abstracts of the 34th World Congress on Ultrasound in Obstetrics and Gynecology, 15-18 September 2024, Budapest, Hungary. Ultrasound in obstetrics & gynecology the official journal of the International Society of Ultrasound in Obstetrics and Gynecology 2024; 64(0). |
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Gonzalez-Aranceta N.; Alomar A.; Rubio R.; Maya-Enero S.; Paya A.; Piella G.; Sukno F.. Accuracy and repeatability of fetal facial measurements in 3D ultrasound: A longitudinal study. Early Human Development 2024; 193. |
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Comas J, Ruiz A, Sukno F. Deep adaptative spectral zoom for improved remote heart rate estimation. Dins: Catruna A, Cosma A, Radoi E, Dhall A, Bowden R, Xia S, Escalera S, Xia H, Patel V, Canavan S, Pedersoli M, Ramachandra R, Belharbi S, Štruc V, Akarun L, Bacon S, Granger E, Damer N, Nwogu I, Lameiras Koerich A, Mehraban S, Shen L, He R, Song S, Praveen R. 2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG) [27-31 May]. Istanbul: IEEE; 2024. |
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Sukno, Federico Mateo; Kelly, Brendan D.; Lane, Abbie; Katina, Stanislav; Rojas, Mario A; Whelan, Paul F.; Waddington, John L.. Loss of normal facial asymmetry in schizophrenia and bipolar disorder: implications for development of brain asymmetry in psychotic illness. Psychiatry Research 2024; 342. |
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Reyes-Hernandez J.C.; Alomar A.; Rubio R.; Piella G.; Sukno F.. OBBabyFace: Oriented Bounding Box for Infant Face Detection. Communications in Computer and Information Science 2024; 2172 CCIS(0): 336-350. |
2023 (1)Morales A, Alomar A, Porras AR, Linguraru MG, Piella G, Sukno FM. BabyNet: reconstructing 3D faces of babies from uncalibrated photographs. Pattern Recognition 2023; (139). |
2022 (6)Aspandi D, Sukno F, Schuller BW, Binefa X. Audio-Visual Gated-Sequenced Neural Networks for Affect Recognition. IEEE Transactions on Affective Computing 2022; 14(3): 2193-2208. |
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Comas J, Ruiz, A, Sukno F. Efficient remote photoplethysmography with temporal derivative modules and time-shift invariant loss. Dins: AA. VV.. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2022). New Orleans: IEEE; 2022. p. 2181-2190. |
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Fernandez-Lopez A.; Sukno F.M.. End-to-End Lip-Reading Without Large-Scale Data. IEEE/ACM Transactions on Audio Speech and Language Processing 2022; 1-15. |
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Joshi R.S.; Rigau M.; Garcia-Prieto C.A.; Castro de Moura M.; Piñeyro D.; Moran S.; Davalos V.; Carrion P.; Ferrando-Bernal M.; Olalde I.; Lalueza-Fox C.; Navarro A.; Fernandez-Tena C.; Aspandi D.; Sukno F.M.; Binefa X.; Valencia A.; Esteller M.. Look-alike humans identified by facial recognition algorithms show genetic similarities. Cell Reports 2022; 40(8). |
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Rodriguez-Diaz N, Aspandi D, Sukno FM, Binefa X. Machine learning-based lie detector applied to a novel annotated game dataset. Future Internet 2022; 14(1). |
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Alomar A, Morales A, Vellve K, Porras AR, Crispi F, Linguraru MG, Piella G, Sukno F. Reconstruction of the fetus face from three-dimensional ultrasound using a newborn face statistical shape model.. Computer Methods and Programs in Biomedicine 2022; 221. |
2021 (4)Alomar A.; Morales A.; Vellve K.; Porras A.R.; Crispi F.; Linguraru M.G.; Piella G.; Sukno F.. 3D fetal face reconstruction from ultrasound imaging. Dins: Farinella GM, Radeva P, Braz J, Bouatouch K. Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. SciTePress; 2021. p. 615-626. |
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Aspandi D.; Sukno F.; Schuller B.; Binefa X.. An enhanced adversarial network with combined latent features for spatio-temporal facial affect estimation in the wild. Dins: Farinella GM, Radeva P, Braz J, Bouatouch K. Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. SciTePress; 2021. p. 172-181. |
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Aspandi D, Martinez O, Sukno F, Binefa X. Composite recurrent network with internal denoising for facial alignment in still and video images in the wild. Image and Vision Computing 2021; 111(0). |
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Morales A, Piella G, Sukno FM. Survey on 3D face reconstruction from uncalibrated images. Computer Science Review 2021; 40(100400). |
2020 (3)Fernandez-Lopez A, Karaali A, Harte N, Sukno FM. CoGANs for unsupervised visual speech adaptation to new speakers. Dins: -. 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Barcelona: IEEE; 2020. p. 6294-6298. |
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Katina S.; Kelly B.D.; Rojas M.A.; Sukno F.M.; McDermott A.; Hennessy R.J.; Lane A.; Whelan P.F.; Bowman A.W.; Waddington J.L.. Refining the resolution of craniofacial dysmorphology in bipolar disorder as an index of brain dysmorphogenesis. Psychiatry Research 2020; 291(113243): 1-6. |
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Morales A.; Porras A.R.; Tu L.; Linguraru M.G.; Piella G.; Sukno F.M.. Spectral correspondence framework for building a 3D baby face model. Dins: -. 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020) (FG). Buenos Aires: IEEE; 2020. p. 507-514. |
2019 (7)Aspandi D.; Martinez O.; Sukno F.; Binefa X.. Fully end to end composite recurrent convolution network for deformable facial tracking in the wild. Dins: AA.VV.. 14th IEEE International Conference on Automatic Face & Gesture Recognition, FG 2019. Lille: IEEE; 2019. p. 115-122. |
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Fernandez-Lopez A, Sukno FM. Lip-reading with limited-data network. Dins: -. 27th European Signal Processing Conference (EUSIPCO). La Coruña: IEEE; 2019. p. 1-5. |
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Fernandez-Lopez A, Sukno FM. Optimizing phoneme-to-viseme mapping for continuous lip-reading in Spanish. Communications in Computer and Information Science 2019; 983(0): 305-328. |
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Aspandi D.; Martinez O.; Sukno F.; Binefa X.. Robust facial alignment with internal denoising auto-encoder. Dins: -. 16th Conference on Computer and Robot Vision (CRV), Kingston. CRV; 2019. p. 143-150. |
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Derkach D.; Ruiz A.; Sukno F.M.. Tensor decomposition and non-linear manifold modeling for 3D head pose estimation. International Journal of Computer Vision 2019; 127(10): 1565-1585. |
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Tu L, Porras AR, Morales A, Perez DA, Piella G, Sukno F, Linguraru MG. Three-Dimensional Face Reconstruction from Uncalibrated Photographs: Application to Early Detection of Genetic Syndromes. Lecture Notes in Computer Science 2019; 11840 LNCS(0): 182-189. |
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Tu L, Porras AR, Morales A, Perez DA, Piella G, Sukno FM, Linguraru MG. Three-dimensional face reconstruction from uncalibrated photographs: application to early detection of genetic syndromes. Dins: Greenspan H, Tanno R,Erdt M, Arbel T, Baumgartner C, Dalca A, Sudre CH, Wells WM, Drechsler K, Linguraru MG, Oyarzun C, Shekhar R, Wesarg S,González MA (EDS.). Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures Conference proceedings: CLIP 2019, UNSURE 2019 and MICCAI 2019. Springer; 2019. p. 182-189. |
2018 (6)Morales A.; Piella G.; Martinez O.; Sukno F.. A quantitative comparison of methods for 3D face reconstruction from 2D images. Dins: -. 13th IEEE International Conference on Automatic Face and Gesture Recognition 2018. 2018. p. 731-738. |
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Derkach D.; Sukno F.. Automatic local shape spectrum analysis for 3D facial expression recognition. Image and Vision Computing 2018; 79: 86-98. |
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Perez-Mayos L.; Sukno F.M.; Wanner L.. Improving the Quality of Video-to-Language Models by Optimizing Annotation of the Training Material. Lecture Notes in Computer Science 2018; 10704 LNCS(0): 279-290. |
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Pérez-Mayos L, Sukno FM, Wanner L. Improving the Quality of Video-to-Language Models by Optimizing Annotation of the Training Material. Dins: Schoeffmann, Klaus; Chalidabhongse, Thanarat H; Ngo, Chong Wah; Aramvith, Supavadee; O¿Connor, Noel E.; Ho, Yo-Sung; Gabbouj, Moncef; Elgammal, Ahmed. International Conference on Multimedia Modeling. Bangkok: Cham Springer International; 2018. p. 279-290. |
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Fernandez-Lopez A.; Sukno F.M.. Survey on automatic lip-reading in the era of deep learning. Image and Vision Computing 2018; 78: 53-72. |
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Ruiz G.; Ramon E.; Garcia J.; Sukno F.M.; Ballester M.A.G.. Weighted regularized statistical shape space projection for breast 3D model reconstruction. Medical Image Analysis 2018; 47: 164-179. |
2017 (8)Fernandez-Lopez A.; Sukno F.M.. Automatic viseme vocabulary construction to enhance continuous lip-reading. Dins: AA.VV.. Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. 2017. p. 52-93. |
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Wanner, Leo; André, Elisabeth; Blat, Josep; Dasiopoulou, Stamatia; Farrús, Mireia; Fraga, Thiago; Kamateri, Eleni; Lingenfelser, Florian; Llorach, Gerard; Martínez, Oriol; Meditskos, Georgios; Mille, Simon; Minker, Wolfgang; Pragst, Louisa; Schiller, Dominik; Stam, Andries; Stellingwerff, Ludo; Sukno, Federico Mateo; Vieru, Bianca; Vrochidis, Stefanos. Design of knowledge-based agent as a social companion. Procedia Computer Science 2017; 121: 920-926. |
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Ruiz A.; Martinez O.; Binefa X.; Sukno F.. Fusion of Valence and Arousal Annotations through Dynamic Subjective Ordinal Modelling. Dins: AA.VV.. 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017) IEEE; 2017. p. 331-338. |
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Derkach D.; Ruiz A.; Sukno F.M.. Head pose estimation based on 3-D facial landmarks localization and regression. Dins: AA.VV.. 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017) IEEE; 2017. p. 820-827. |
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Wanner L.; Andre E.; Blat J.; Dasiopoulou S.; Farrus M.; Fraga T.; Kamateri E.; Lingenfelser F.; Llorach G.; Martinez O.; Meditskos G.; Mille S.; Minker W.; Pragst L.; Schiller D.; Stam A.; Stellingwerff L.; Sukno F.; Vieru B.; Vrochidis S.. Kristina: A knowledge-based virtual conversation agent. Lecture Notes in Computer Science 2017; 10349 LNCS(0): 284-295. |
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Wanner L, André E, Blat J, Dasiopoulou S, Farrús M, Fraga T, Kamateri E, Lingenfelser, F, Llorach G, Martínez O, Meditskos G, Mille S, Minker W, Pragst L, Schiller D, Stam A, Stellingwerff L, Sukno F, Vieru B. KRISTINA: A Knowledge-Based Virtual Conversation Agent. Dins: Demazeau Y., Davidsson P., Bajo J., Vale Z. (eds). Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection: 15th International Conference, PAAMS 2017, Porto, Portugal, June 21-23, 2017, Proceedings. Springer, Cham; 2017. p. 284-295. |
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Derkach D.; Sukno F.. Local Shape Spectrum Analysis for 3D Facial Expression Recognition. Dins: AA.VV.. 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017) IEEE; 2017. p. 41-47. |
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Fernandez-Lopez A.; Martinez O.; Sukno F.M.. Towards estimating the upper bound of visual-speech recognition: the visual lip-reading feasibility database. Dins: AA.VV.. 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017) IEEE; 2017. p. 208-215. |
2016 (5)Sukno F.; Dominguez M.; Ruiz A.; Schiller D.; Lingenfelser F.; Pragst L.; Kamateri E.; Vrochidis S.. A multimodal annotation schema for non-verbal affective analysis in the health-care domain. Dins: AA.VV.. Proceedings of the 1st International Workshop on Multimedia Analysis and Retrieval for Multimodal Interaction. ACM; 2016. p. 9-14. |
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Butakoff C.; Balocco S.; Sukno F.M.; Hoogendoorn C.; Tobon-Gomez C.; Avegliano G.; Frangi A.F.. Left-ventricular epi- and endocardium extraction from 3D ultrasound images using an automatically constructed 3D ASM. Computer Methods in Biomechanics and Biomedical Engineering 2016; 4: 265-280. |