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Author (up) Title Year Publication Volume Pages
Gabriel Villalonga; Joost Van de Weijer; Antonio Lopez Recognizing new classes with synthetic data in the loop: application to traffic sign recognition 2020 Sensors 20 583
Graham D. Finlayson; Javier Vazquez; Fufu Fang The Discrete Cosine Maximum Ignorance Assumption 2021 29th Color and Imaging Conference 13-18
Graham D. Finlayson; Javier Vazquez; Sabine Süsstrunk; Maria Vanrell Spectral sharpening by spherical sampling 2012 Journal of the Optical Society of America A 29 1199-1210
Guim Perarnau; Joost Van de Weijer; Bogdan Raducanu; Jose Manuel Alvarez Invertible conditional gans for image editing 2016 30th Annual Conference on Neural Information Processing Systems Worshops
Hamed H. Aghdam; Abel Gonzalez-Garcia; Joost Van de Weijer; Antonio Lopez Active Learning for Deep Detection Neural Networks 2019 18th IEEE International Conference on Computer Vision 3672-3680
Hassan Ahmed Sial Estimating Light Effects from a Single Image: Deep Architectures and Ground-Truth Generation 2021 PhD Thesis, Universitat Autonoma de Barcelona-CVC
Hassan Ahmed Sial; Ramon Baldrich; Maria Vanrell Deep intrinsic decomposition trained on surreal scenes yet with realistic light effects 2020 Journal of the Optical Society of America A 37 1-15
Hassan Ahmed Sial; Ramon Baldrich; Maria Vanrell; Dimitris Samaras Light Direction and Color Estimation from Single Image with Deep Regression 2020 London Imaging Conference
Hassan Ahmed Sial; S. Sancho; Ramon Baldrich; Robert Benavente; Maria Vanrell Color-based data augmentation for Reflectance Estimation 2018 26th Color Imaging Conference 284-289
Hector Laria Mantecon; Kai Wang; Joost Van de Weijer; Bogdan Raducanu; Kai Wang NeRF-Diffusion for 3D-Consistent Face Generation and Editing 2024 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Hector Laria Mantecon; Yaxing Wang; Joost Van de Weijer; Bogdan Raducanu Transferring Unconditional to Conditional GANs With Hyper-Modulation 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Ivet Rafegas Exploring Low-Level Vision Models. Case Study: Saliency Prediction 2013 CVC Technical Report 175
Ivet Rafegas Color in Visual Recognition: from flat to deep representations and some biological parallelisms 2017 PhD Thesis, Universitat Autonoma de Barcelona-CVC
Ivet Rafegas; Javier Vazquez; Robert Benavente; Maria Vanrell; Susana Alvarez Enhancing spatio-chromatic representation with more-than-three color coding for image description 2017 Journal of the Optical Society of America A 34 827-837
Ivet Rafegas; Maria Vanrell Color spaces emerging from deep convolutional networks 2016 24th Color and Imaging Conference 225-230
Ivet Rafegas; Maria Vanrell Colour Visual Coding in trained Deep Neural Networks 2016 European Conference on Visual Perception
Ivet Rafegas; Maria Vanrell Color representation in CNNs: parallelisms with biological vision 2017 ICCV Workshop on Mutual Benefits ofr Cognitive and Computer Vision
Ivet Rafegas; Maria Vanrell Color encoding in biologically-inspired convolutional neural networks 2018 Vision Research 151 7-17