Publications
Publications
Qin, J., Gomez-Villa, A., Li, S., Yang, S., Wang, Y., Wang, K., & van de Weijer, J. (2025). Free-Lunch Color-Texture Disentanglement for Stylized Image Generation. NeurIPS 2025
Cignoni, G., Cossu, A., Gomez-Villa, A., van de Weijer, J., & Carta, A. (2025). CLA: Latent Alignment for Online Continual Self-Supervised Learning. In Fourth Conference on Lifelong Learning Agents
Gomez-Villa, A., Wang, K., Parraga, A. C., Twardowski, B., Malo, J., Vazquez-Corral, J., & van de Weijer, J. (2025). The Art of Deception: Color Visual Illusions and Diffusion Models. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition
Gomez-Villa, A., Goswami, D., Wang, K., Bagdanov, A. D., Twardowski, B., & van de Weijer, J. (2024). Exemplar-free continual representation learning via learnable drift compensation. In European Conference on Computer Vision(pp. 473-490). Springer, Cham.
Gomez-Villa, A., Twardowski, B., Wang, K., & Van de Weijer, J. (2024). Plasticity-optimized complementary networks for unsupervised continual learning. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 1690-1700).
Zini, S., Gomez-Villa, A., Buzzelli, M., Twardowski, B., Bagdanov, A. D., & Van de Weijer, J. (2022). Planckian jitter: countering the color-crippling effects of color jitter on self-supervised training. arXiv preprint arXiv:2202.07993.
Gomez-Villa, A., Twardowski, B., Yu, L., Bagdanov, A. D., & Van de Weijer, J. (2022). Continually learning self-supervised representations with projected functional regularization. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 3867-3877).
Gomez-Villa, A., Martin, A., Vazquez-Corral, J., & Bertalmío, M. (2019). Convolutional neural networks can be deceived by visual illusions. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 12309-12317).
Giraldo-Zuluaga, J. H., Salazar, A., Gomez-Villa, A., & Diaz-Pulido, A. (2017, November). Recognition of mammal genera on camera-trap images using multi-layer robust principal component analysis and mixture neural networks. In 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI) (pp. 53-60). IEEE.
Gomez-Villa, A., Diez, G., Salazar, A., & Diaz, A. (2016, December). Animal identification in low quality camera-trap images using very deep convolutional neural networks and confidence thresholds. In International symposium on visual computing (pp. 747-756). Cham: Springer International Publishing.
Gomez-Villa, A., Díez, G., Giraldo, J., Salazar, A., & Daza, J. M. (2015). A markov random field and active contour image segmentation model for animal spots patterns. In Advances in Visual Computing: 11th International Symposium, ISVC 2015, Las Vegas, NV, USA, December 14-16, 2015, Proceedings, Part II 11 (pp. 173-184). Springer International Publishing.
Gomez-Villa, A., Martín, A., Vazquez-Corral, J., Bertalmío, M., & Malo, J. (2022). On the synthesis of visual illusions using deep generative models. Journal of Vision, 22(8), 2-2.
Li, Q., Gomez-Villa, A., Bertalmío, M., & Malo, J. (2022). Contrast sensitivity functions in autoencoders. Journal of Vision, 22(6), 8-8.
Gomez-Villa, A., Martín, A., Vazquez-Corral, J., Bertalmío, M., & Malo, J. (2020). Color illusions also deceive CNNs for low-level vision tasks: Analysis and implications. Vision Research, 176, 156-174.
Bertalmío, M., Gomez-Villa, A., Martín, A., Vazquez-Corral, J., Kane, D., & Malo, J. (2020). Evidence for the intrinsically nonlinear nature of receptive fields in vision. Scientific reports, 10(1), 16277.
Gomez-Villa, A., Bertalmío, M., & Malo, J. (2020). Visual information flow in Wilson–Cowan networks. Journal of Neurophysiology, 123(6), 2249-2268.
Bertalmío, M., Calatroni, L., Franceschi, V., Franceschiello, B., Gomez Villa, A., & Prandi, D. (2020). Visual illusions via neural dynamics: Wilson–Cowan-type models and the efficient representation principle. Journal of neurophysiology, 123(5), 1606-1618.
Giraldo-Zuluaga, J. H., Salazar, A., Gomez-Villa, A., & Diaz-Pulido, A. (2019). Camera-trap images segmentation using multi-layer robust principal component analysis. The Visual Computer, 35, 335-347.
Giraldo-Zuluaga, J. H., Salazar, A., Diez, G., Gomez-Villa, A., Martínez, T., Vargas, J. F., & Peñuela, M. (2018). Automatic identification of Scenedesmus polymorphic microalgae from microscopic images. Pattern Analysis and Applications, 21, 601-612.
Gomez-Villa, A., Salazar, A., & Vargas, F. (2017). Towards automatic wild animal monitoring: Identification of animal species in camera-trap images using very deep convolutional neural networks. Ecological informatics, 41, 24-32.
Porres, D., & Gomez-Villa, A. (2024). At the edge of a generative cultural precipice. arXiv preprint arXiv:2406.08739.
Gomez-Villa, A., Salazar, A., & Stefanini, I. (2018). Counting cells in time-lapse microscopy using deep neural networks. arXiv preprint arXiv:1801.10443.
D. Montoya, A. Bouguerra, A. Gomez-Villa, F. Arnez. FindMeIfYouCan: Bringing Open Set metrics to near, farand farther Out-of-Distribution Object Detection. arXiv preprint
Laria, H., Gomez-Villa, A., Qin, J., Butt, M. A., Raducanu, B., Vazquez-Corral, J., ... & Wang, K. (2025). Leveraging Semantic Attribute Binding for Free-Lunch Color Control in Diffusion Models. arXiv preprint arXiv:2503.09864.
Laria, H., Gomez-Villa, A., Marouf, I. E., Wang, K., Raducanu, B., & van de Weijer, J. (2024). Assessing Open-world Forgetting in Generative Image Model Customization. arXiv preprint arXiv:2410.14159.