Billede af Sergio Escalera Guerrero

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Sergio Escalera Guerrero

 https://orcid.org/0000-0003-0617-8873
20062024

Publikationer pr. år

Søgeresultater

  • Human head pose estimation on SASE database using random hough regression forests

    Lüsi, I., Escarela, S. & Anbarjafari, G., 2017, Video Analytics: Face and Facial Expression Recognition and Audience Measurement - 3rd International Workshop, VAAM 2016 and 2nd International Workshop, FFER 2016, Revised Selected Papers. Nasrollahi, K., Moeslund, T. B., Ji, Q., Cavallaro, A., Distante, C., Battiato, S. & Hua, G. (red.). Springer, s. 137-150 14 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 10165 LNCS).

    Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

    1 Citationer (Scopus)

  • Human limb segmentation in depth maps based on spatio-temporal Graph-cuts optimization

    Hernández-Vela, A., Zlateva, N., Marinov, A., Reyes, M., Radeva, P., Dimov, D. & Escalera, S., 2012, I: Journal of Ambient Intelligence and Smart Environments. 4, 6, s. 535-546 12 s.

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    7 Citationer (Scopus)

  • HuPBA8k+: Dataset and ECOC-Graph-Cut based segmentation of human limbs

    Sánchez, D., Ángel Bautista, M. & Escalera, S., 20 feb. 2015, I: Neurocomputing. 150, Part A, s. 173-188 16 s.

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    2 Citationer (Scopus)

  • ICML 2023 Topological Deep Learning Challenge: Design and Results

    Papillon, M., Hajij, M., Myers, A., Frantzen, F., Zamzmi, G., Jenne, H., Mathe, J., Hoppe, J., Schaub, M., Papamarkou, T., Guzmán-Sáenz, A., Rieck, B., Kvinge, H., Meissner, J., Ramamurthy, K. N., Scholkemper, M., Livesay, N., Rosen, P., Walters, R., Samaga, S. N., & 42 flereMukherjee, S., Sanborn, S., Dey, T., Emerson, T., Doster, T., Birdal, T., Grande, V., Khamis, A., Rabinowitz, A., Brent, A., Salatiello, A., Nikitin, A., Zia, A., Battiloro, C., Gavrilev, D., Bökman, G., Magai, G., Bazhenov, G., Bernardez, G., Spinelli, I., Agerberg, J., Nadimpalli, K., Telyatninkov, L., Scofano, L., Testa, L., Lecha, M., Yang, M., Hassanin, M., Gardaa, O. H., Zaghen, O., Hausner, P., Snopoff, P., Melnyk, P., Ballester, R., Barikbin, S., Escalera, S., Fiorellino, S., Scardapane, S., Singh, S., Malygina, T., Yue, Y. & Miolane, N., 2023, I: Proceedings of Machine Learning Research. 221, s. 3-8 6 s.

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    1 Citationer (Scopus)

  • Identifying Loitering Behavior With Trajectory Analysis

    Núñez, J., Li, Z., Guerrero, S. E. & Nasrollahi, K., 2024, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops. IEEE, s. 251 259 s.

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  • Impairments in decoding facial and vocal emotional expressions in high functioning autistic adults and adolescents

    Esposito, A., Cirillo, I., Esposito, A. M., Fortunati, L., Foresti, G. L., Escalera, S. & Bourbakis, N., nov. 2020, Proceedings - 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2020. Struc, V. & Gomez-Fernandez, F. (red.). IEEE Signal Processing Society, s. 667-674 8 s. 9320285. (Proceedings - 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2020).

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  • Improved RGB-D-T based Face Recognition

    Oliu Simon, M., Corneanu, C., Nasrollahi, K., Nikisins, O., Guerrero, S. E., Sun, Y., Li, H., Sun, Z., Moeslund, T. B. & Greitans, M., 2016, I: IET Biometrics. 5, 4, s. 297 - 303

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    39 Citationer (Scopus)
    1223 Downloads (Pure)

  • Improving bag of visual words representations with genetic programming

    Escalante, H. J., Martínez-Carraza, J., Escalera, S., Ponce-López, V. & Baró, X., 28 sep. 2015, 2015 International Joint Conference on Neural Networks, IJCNN 2015. IEEE Signal Processing Society, 7280799. (Proceedings of the International Joint Conference on Neural Networks, Bind 2015-September).

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    2 Citationer (Scopus)

  • Increasing Retrieval Quality in Conversational Recommenders.

    Llorente, M. S. & Guerrero, S. E., 2012, I: IEEE Trans. Knowl. Data Eng.. 24, 10, s. 1876-1888

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    22 Citationer (Scopus)

  • Influence in Social Networks Through Visual Analysis of Image Memes

    Onielfa, C., Casacuberta, C. & Escalera, S., 17 okt. 2022, Artificial Intelligence Research and Development - Proceedings of the 24th International Conference of the Catalan Association for Artificial Intelligence. Cortes, A., Grimaldo, F. & Flaminio, T. (red.). IOS Press, s. 71-80 10 s. (Frontiers in Artificial Intelligence and Applications, Bind 356).

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  • Intelligent GPGPU classification in volume visualization: A framework based on error-correcting output codes

    Escalera, S., Puig, A., Amoros, O. & Salamó, M., 2011, I: Computer Graphics Forum. 30, 7, s. 2107-2115 9 s.

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    5 Citationer (Scopus)

  • Intelligent interactive volume classification

    Grau, S., Puig, A., Escalera, S. & Salamó, M., 2013, 21st Pacific Conference on Computer Graphics and Applications, PG 2013 - Short Papers. Levy, B., Tong, X. & Yin, K. (red.). IEEE Computer Society Press, s. 23-28 6 s. (Proceedings - Pacific Conference on Computer Graphics and Applications, Bind 2013-October).

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  • Intravascular ultrasound uissue characterization with sub-class error-correcting output codes

    Escalera, S., Pujol, O., Mauri, J. & Radeva, P., apr. 2009, I: Journal of Signal Processing Systems. 55, 1-3, s. 35-47 13 s.

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    25 Citationer (Scopus)

  • Introducing the separability matrix for error correcting output codes coding

    Bautista, M. Á., Pujol, O., Baró, X. & Escalera, S., 2011, Multiple Classifier Systems - 10th International Workshop, MCS 2011, Proceedings. s. 227-236 10 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 6713 LNCS).

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    2 Citationer (Scopus)

  • Introduction

    Escalera, S., Baró, X., Pujol, O., Vitrià, J. & Radeva, P., 2011, SpringerBriefs in Computer Science. 9781447122449 udg. Springer VS, s. 1-4 4 s. (SpringerBriefs in Computer Science; Nr. 9781447122449, Bind 0).

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  • Introduction to the special issue of the ECML PKDD 2021 journal track

    Appice, A., Escalera, S., Gámez, J. A. & Trautmann, H., 2021, I: Data Mining and Knowledge Discovery. 35, 6, s. 2540-2541 2 s.

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  • Introduction to the special issue of the ECML PKDD 2021 journal track

    Appice, A., Escalera, S., Gámez, J. A. & Trautmann, H., 2021, I: Machine Learning. 110, 10, s. 2991-2992 2 s.

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  • Iterative multi-class multi-scale stacked sequential learning: Definition and application to medical volume segmentation

    Sampedro, F., Escalera, S. & Puig, A., 1 sep. 2014, I: Pattern Recognition Letters. 46, s. 1-10 10 s.

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    5 Citationer (Scopus)

  • IVUS tissue characterization with sub-class error-correcting output codes

    Escalera, S., Pujol, O., Mauri, J. & Radeva, P., 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops. IEEE, 4563021. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).

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    1 Citationer (Scopus)

  • Joint Challenge on Dominant and Complementary Emotion Recognition Using Micro Emotion Features and Head-Pose Estimation: Databases

    Lusi, I., Jacques, J. C. S., Gorbova, J., Baro, X., Escalera, S., Demirel, H., Allik, J., Ozcinar, C. & Anbarjafari, G., 28 jun. 2017, Proceedings - 12th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2017 - 1st International Workshop on Adaptive Shot Learning for Gesture Understanding and Production, ASL4GUP 2017, Biometrics in the Wild, Bwild 2017, Heterogeneous Face Recognition, HFR 2017, Joint Challenge on Dominant and Complementary Emotion Recognition Using Micro Emotion Features and Head-Pose Estimation, DCER and HPE 2017 and 3rd Facial Expression Recognition and Analysis Challenge, FERA 2017. IEEE Signal Processing Society, s. 809-813 5 s. 7961825. (Proceedings - 12th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2017 - 1st International Workshop on Adaptive Shot Learning for Gesture Understanding and Production, ASL4GUP 2017, Biometrics in the Wild, Bwild 2017, Heterogeneous Face Recognition, HFR 2017, Joint Challenge on Dominant and Complementary Emotion Recognition Using Micro Emotion Features and Head-Pose Estimation, DCER and HPE 2017 and 3rd Facial Expression Recognition and Analysis Challenge, FERA 2017).

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    32 Citationer (Scopus)

  • Keep it Accurate and Diverse: Enhancing Action Recognition Performance by Ensemble Learning

    Ali Bagheri, M., Gao, Q., Guerrero, S. E., Clapés, A., Nasrollahi, K., Holte, M. B. & Moeslund, T. B., 7 jun. 2015, IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2015. IEEE Computer Society Press, s. 22-29

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    10 Citationer (Scopus)
    814 Downloads (Pure)

  • Learning Cloth Dynamics: 3D+Texture Garment Reconstruction Benchmark

    Madadi, M., Bertiche, H., Bouzouita, W., Guyon, I. & Escalera, S., 2020, I: Proceedings of Machine Learning Research. 133, s. 57-76 20 s.

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    5 Citationer (Scopus)

  • Learning to Recognize Actions on Objects in Egocentric Video with Attention Dictionaries

    Sudhakaran, S., Escalera, S. & Lanz, O., 2021, (Accepteret/In press) I: IEEE Transactions on Pattern Analysis and Machine Intelligence.

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    6 Citationer (Scopus)

  • Learning to segment humans by stacking their body parts

    Puertas, E., Bautista, M. A., Sanchez, D., Escalera, S. & Pujol, O., 2015, Computer Vision - ECCV 2014 Workshops, Proceedings. Bronstein, M. M., Rother, C. & Agapito, L. (red.). Springer, s. 685-697 13 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 8925).

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    1 Citationer (Scopus)

  • Logo recognition based on the Dempster-Shafer fusion of multiple classifiers

    Bagheri, M. A., Gao, Q. & Escalera, S., 2013, Advances in Artificial Intelligence - 26th Canadian Conference on Artificial Intelligence, Canadian AI 2013, Proceedings. s. 1-12 12 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 7884 LNAI).

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    10 Citationer (Scopus)

  • Loss-weighted decoding for error-correcting output coding

    Escalera, S., Pujol, O. & Radeva, P., 2008, VISAPP 2008 - 3rd International Conference on Computer Vision Theory and Applications, Proceedings. s. 117-122 6 s. (VISAPP 2008 - 3rd International Conference on Computer Vision Theory and Applications, Proceedings, Bind 2).

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    13 Citationer (Scopus)

  • Loss-weighted decoding for error-correcting output coding

    Escalera, S., Pujol, O. & Radeva, P., 2008, VISAPP 2008 - 3rd International Conference on Computer Vision Theory and Applications, Proceedings. s. 117-122 6 s. (VISAPP 2008 - 3rd International Conference on Computer Vision Theory and Applications, Proceedings, Bind 2).

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    13 Citationer (Scopus)

  • Measuring interest of human dyadic interactions

    Escalera, S., Pujol, O., Radeva, P. & Vitrià, J., 2009, Frontiers in Artificial Intelligence and Applications. 1 udg. IOS Press, s. 45-54 10 s. (Frontiers in Artificial Intelligence and Applications; Nr. 1, Bind 202).

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  • Message from the General and Program Chairs FG 2020

    Wachs, J., Escalera, S., Cohn, J., Salah, A. A. & Ross, A., nov. 2020, I: Proceedings - 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2020. s. xxi 9320224.

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  • Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification

    Ullah, I., Carrión-Ojeda, D., Escalera, S., Guyon, I., Huisman, M., Mohr, F., van Rijn, J. N., Sun, H., Vanschoren, J. & Vu, P. A., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (red.). Neural Information Processing Systems Foundation, (Advances in Neural Information Processing Systems, Bind 35).

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    7 Citationer (Scopus)

  • Minimal design of error-correcting output codes

    Bautista, M. Á., Escalera, S., Baró, X., Radeva, P., Vitriá, J. & Pujol, O., 15 apr. 2012, I: Pattern Recognition Letters. 33, 6, s. 693-702 10 s.

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    43 Citationer (Scopus)

  • Minimising multi-centre radiomics variability through image normalisation: a pilot study

    Campello, V. M., Martín-Isla, C., Izquierdo, C., Guala, A., Palomares, J. F. R., Viladés, D., Descalzo, M. L., Karakas, M., Çavuş, E., Raisi-Estabragh, Z., Petersen, S. E., Escalera, S., Seguí, S. & Lekadir, K., 22 jul. 2022, I: Scientific Reports. 12, 1, 12532.

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    10 Citationer (Scopus)
    29 Downloads (Pure)

  • Mobile eHealth Platform for Home Monitoring of Bipolar Disorder

    Codina-Filbà, J., Escalera, S., Escudero, J., Antens, C., Buch-Cardona, P. & Farrús, M., 2021, MultiMedia Modeling - 27th International Conference, MMM 2021, Proceedings. Lokoc, J., Skopal, T., Schoeffmann, K., Mezaris, V., Li, X., Vrochidis, S. & Patras, I. (red.). Springer, s. 330-341 12 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 12573 LNCS).

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    3 Citationer (Scopus)

  • Modeling, Recognizing, and Explaining Apparent Personality from Videos

    Escalante, H. J., Kaya, H., Salah, A. A., Escalera, S., Gucluturk, Y., Guclu, U., Baro, X., Guyon, I., Junior, J. C. S. J., Madadi, M., Ayache, S., Viegas, E., Gurpnar, F., Wicaksana, A. S., Liem, C. C. S., Van Gerven, M. A. J. & Van Lier, R., 2022, I: IEEE Transactions on Affective Computing. 13, 2, s. 894-911 18 s.

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    22 Citationer (Scopus)

  • Modelling and analyzing multimodal dyadic interactions using social networks

    Escalera, S., Radeva, P., Vitrià, J., Baró, X. & Raducanu, B., 2010, International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction, ICMI-MLMI 2010. 1891967. (International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction, ICMI-MLMI 2010).

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    2 Citationer (Scopus)

  • Multi-class binary object categorization using blurred shape models

    Escalera, S., Fornès, A., Pujol, O., Liados, J. & Radeva, P., 2007, Progress in Pattern Recognition, Image Analysis and Applications - 12th Iberoamerican Congress on Pattern Recognition, CIARP 2007, Proceedings. s. 142-151 10 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 4756 LNCS).

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    2 Citationer (Scopus)

  • Multi-class binary symbol classification with circular blurred shape models

    Escalera, S., Fornés, A., Pujol, O. & Radeva, P., 2009, Image Analysis and Processing - ICIAP 2009 - 15th International Conference, Proceedings. s. 1005-1014 10 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 5716 LNCS).

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    1 Citationer (Scopus)

  • Multi-class classification in image analysis via error-correcting output codes

    Escalera, S., Tax, D. M. J., Pujol, O., Radeva, P. & Duin, R. P. W., 2011, Innovations in Intelligent Image Analysis. Kwasnicka, H. & Jain, L. (red.). s. 7-29 23 s. (Studies in Computational Intelligence, Bind 339).

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    2 Citationer (Scopus)

  • Multi-class multi-scale stacked sequential learning

    Puertas, E., Escalera, S. & Pujol, O., 2011, Multiple Classifier Systems - 10th International Workshop, MCS 2011, Proceedings. s. 197-206 10 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 6713 LNCS).

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    5 Citationer (Scopus)

  • Multi-modal descriptors for multi-class hand pose recognition in human computer interaction systems

    Abella, J., Alcaide, R., Sabaté, A., Mas, J., Escalera, S., Gonzàlez, J. & Antens, C., 2013, ICMI 2013 - Proceedings of the 2013 ACM International Conference on Multimodal Interaction. s. 503-508 6 s. (ICMI 2013 - Proceedings of the 2013 ACM International Conference on Multimodal Interaction).

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    2 Citationer (Scopus)

  • Multimodal First Impression Analysis with Deep Residual Networks

    Güçlütürk, Y., Güçlü, U., Baró, X., Escalante, H. J., Guyon, I., Escalera, S., Van Gerven, M. A. J. & Van Lier, R., 1 jul. 2018, I: IEEE Transactions on Affective Computing. 9, 3, s. 316-329 14 s., 8031881.

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    41 Citationer (Scopus)

  • Multi-modal gesture recognition challenge 2013: Dataset and results

    Escalera, S., Gonzàlez, J., Baró, X., Reyes, M., Lopes, O., Guyon, I., Athitsos, V. & Escalante, H., 2013, ICMI 2013 - Proceedings of the 2013 ACM International Conference on Multimodal Interaction. s. 445-452 8 s. (ICMI 2013 - Proceedings of the 2013 ACM International Conference on Multimodal Interaction).

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    154 Citationer (Scopus)

  • Multi-Modal Human Behaviour Analysis from Visual Data Sources.

    Guerrero, S. E., 2013

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  • Multi-modal laughter recognition in video conversations

    Escalera, S., Puertas, E., Radeva, P. & Pujol, O., 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009. s. 110-115 6 s. 5204268. (2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009).

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    14 Citationer (Scopus)

  • Multimodal Sentiment and Personality Perception Under Speech: A Comparison of Transformer-based Architectures

    Fodor, Á., Saboundji, R. R., Jacques Junior, J. C. S., Escalera, S., Gallardo, D. & Lorincz, A., 2021, I: Proceedings of Machine Learning Research. 173, s. 218-241 24 s.

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    2 Citationer (Scopus)

  • Multi-modal social signal analysis for predicting agreement in conversation settings

    Ponce-López, V., Escalera, S. & Baró, X., 2013, ICMI 2013 - Proceedings of the 2013 ACM International Conference on Multimodal Interaction. s. 495-501 7 s. (ICMI 2013 - Proceedings of the 2013 ACM International Conference on Multimodal Interaction).

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    15 Citationer (Scopus)

  • Multi-modal user identification and object recognition surveillance system

    Clapés, A., Reyes, M. & Escalera, S., 2013, I: Pattern Recognition Letters. 34, 7, s. 799-808 10 s.

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    20 Citationer (Scopus)

  • Multi-modal zero-shot dynamic hand gesture recognition

    Rastgoo, R., Kiani, K., Escalera, S. & Sabokrou, M., 1 aug. 2024, I: Expert Systems with Applications. 247, 123349.

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    4 Citationer (Scopus)

  • Multi-part body segmentation based on depth maps for soft biometry analysis

    Madadi, M., Escalera, S., Gonzàlez, J., Roca, F. X. & Lumbreras, F., 15 apr. 2015, I: Pattern Recognition Letters. 56, s. 14-21 8 s.

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    7 Citationer (Scopus)

  • Multi-Rate Sensor Fusion for Unconstrained Near-Eye Gaze Estimation

    Palmero, C., Komogortsev, O. V., Escalera, S. & Talathi, S. S., 30 maj 2023, Proceedings - ETRA 2023: ACM Symposium on Eye Tracking Research and Applications. Spencer, S. N. (red.). Association for Computing Machinery, 12. (Eye Tracking Research and Applications Symposium (ETRA)).

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