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Author (up) Title Year Publication Volume Pages
Graham D. Finlayson; Javier Vazquez; Fufu Fang The Discrete Cosine Maximum Ignorance Assumption 2021 29th Color and Imaging Conference 13-18
Hannes Mueller; Andre Groeger; Jonathan Hersh; Andrea Matranga; Joan Serrat Monitoring war destruction from space using machine learning 2021 Proceedings of the National Academy of Sciences of the United States of America 118 e2025400118
Hassan Ahmed Sial Estimating Light Effects from a Single Image: Deep Architectures and Ground-Truth Generation 2021 PhD Thesis, Universitat Autonoma de Barcelona-CVC
Henry Velesaca; Patricia Suarez; Dario Carpio; Angel Sappa Synthesized Image Datasets: Towards an Annotation-Free Instance Segmentation Strategy 2021 16th International Symposium on Visual Computing 13017 131–143
Henry Velesaca; Patricia Suarez; Raul Mira; Angel Sappa Computer Vision based Food Grain Classification: a Comprehensive Survey 2021 Computers and Electronics in Agriculture 187 106287
Hugo Bertiche; Meysam Madadi; Emilio Tylson; Sergio Escalera DeePSD: Automatic Deep Skinning And Pose Space Deformation For 3D Garment Animation 2021 19th IEEE International Conference on Computer Vision 5471-5480
Hugo Bertiche; Meysam Madadi; Sergio Escalera Deep Parametric Surfaces for 3D Outfit Reconstruction from Single View Image 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition 1-8
Hugo Bertiche; Meysam Madadi; Sergio Escalera PBNS: Physically Based Neural Simulation for Unsupervised Garment Pose Space Deformation 2021 14th ACM Siggraph Conference and exhibition on Computer Graphics and Interactive Techniques in Asia
Hugo Bertiche; Meysam Madadi; Sergio Escalera PBNS: Physically Based Neural Simulation for Unsupervised Garment Pose Space Deformation 2021 ACM Transactions on Graphics 40 1-14
Idoia Ruiz; Lorenzo Porzi; Samuel Rota Bulo; Peter Kontschieder; Joan Serrat Weakly Supervised Multi-Object Tracking and Segmentation 2021 IEEE Winter Conference on Applications of Computer Vision Workshops 125-133
Javad Zolfaghari Bengar Reducing Label Effort with Deep Active Learning 2021 PhD Thesis, Universitat Autonoma de Barcelona-CVC
Javad Zolfaghari Bengar; Bogdan Raducanu; Joost Van de Weijer When Deep Learners Change Their Mind: Learning Dynamics for Active Learning 2021 19th International Conference on Computer Analysis of Images and Patterns 13052 403-413
Javad Zolfaghari Bengar; Joost Van de Weijer; Bartlomiej Twardowski; Bogdan Raducanu Reducing Label Effort: Self- Supervised Meets Active Learning 2021 International Conference on Computer Vision Workshops 1631-1639
Javier M. Olaso; Alain Vazquez; Leila Ben Letaifa; Mikel de Velasco; Aymen Mtibaa; Mohamed Amine Hmani; Dijana Petrovska-Delacretaz; Gerard Chollet; Cesar Montenegro; Asier Lopez-Zorrilla; Raquel Justo; Roberto Santana; Jofre Tenorio-Laranga; Eduardo Gonzalez-Fraile; Begoña Fernandez-Ruanova; Gennaro Cordasco; Anna Esposito; Kristin Beck Gjellesvik; Anna Torp Johansen; Maria Stylianou Kornes; Colin Pickard; Cornelius Glackin; Gary Cahalane; Pau Buch; Cristina Palmero; Sergio Escalera; Olga Gordeeva; Olivier Deroo; Anaïs Fernandez; Daria Kyslitska; Jose Antonio Lozano; Maria Ines Torres; Stephan Schlogl The EMPATHIC Virtual Coach: a demo 2021 23rd ACM International Conference on Multimodal Interaction 848-851
Javier Marin; Sergio Escalera SSSGAN: Satellite Style and Structure Generative Adversarial Networks 2021 Remote Sensing 13 3984