Alexandra Gomez-Villa

Orcid: 0000-0003-0469-3425

Affiliations:
  • Pompeu Fabra University (UPF), Department of Information and Communication Technologies (DTIC), Barcelona, Spain
  • University of Antioquia (UdeA), SISTEMIC, Medellín, Colombia


According to our database1, Alexandra Gomez-Villa authored at least 32 papers between 2015 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
NumColor: Precise Numeric Color Control in Text-to-Image Generation.
CoRR, March, 2026

Contrast sensitivity in multimodal large language models: A psychophysics-inspired evaluation.
Neural Networks, 2026

Leveraging Semantic Attribute Binding for Free-Lunch Color Control in Diffusion Models.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025
Evaluating and Preserving High-level Fidelity in Super-Resolution.
CoRR, December, 2025

GenColorBench: A Color Evaluation Benchmark for Text-to-Image Generation Models.
CoRR, October, 2025

Color Names in Vision-Language Models.
CoRR, September, 2025

Can Less Precise Be More Reliable? A Systematic Evaluation of Quantization's Impact on CLIP Beyond Accuracy.
CoRR, September, 2025

Contrast Sensitivity Function of Multimodal Vision-Language Models.
CoRR, August, 2025

Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting.
CoRR, August, 2025

CLA: Latent Alignment for Online Continual Self-Supervised Learning.
CoRR, July, 2025

FindMeIfYouCan: Bringing Open Set metrics to <i>near</i>, <i>far</i> and <i>farther</i> Out-of-Distribution Object Detection.
CoRR, June, 2025

Free-Lunch Color-Texture Disentanglement for Stylized Image Generation.
CoRR, March, 2025

Replay-free Online Continual Learning with Self-Supervised MultiPatches.
Proceedings of the 33rd European Symposium on Artificial Neural Networks, 2025

The Art of Deception: Color Visual Illusions and Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Assessing Open-world Forgetting in Generative Image Model Customization.
CoRR, 2024

At the edge of a generative cultural precipice.
CoRR, 2024

Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Exemplar-Free Continual Representation Learning via Learnable Drift Compensation.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Planckian Jitter: countering the color-crippling effects of color jitter on self-supervised training.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Continually Learning Self-Supervised Representations with Projected Functional Regularization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2019
Camera-trap images segmentation using multi-layer robust principal component analysis.
Vis. Comput., 2019

Visual Illusions Also Deceive Convolutional Neural Networks: Analysis and Implications.
CoRR, 2019

Synthesizing Visual Illusions Using Generative Adversarial Networks.
CoRR, 2019

Convolutional Neural Networks Can Be Deceived by Visual Illusions.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Automatic identification of Scenedesmus polymorphic microalgae from microscopic images.
Pattern Anal. Appl., 2018

Convolutional Neural Networks Deceived by Visual Illusions.
CoRR, 2018

Counting Cells in Time-Lapse Microscopy using Deep Neural Networks.
CoRR, 2018

2017
Towards automatic wild animal monitoring: Identification of animal species in camera-trap images using very deep convolutional neural networks.
Ecol. Informatics, 2017

Automatic Recognition of Mammal Genera on Camera-Trap Images using Multi-Layer Robust Principal Component Analysis and Mixture Neural Networks.
CoRR, 2017

Recognition of Mammal Genera on Camera-Trap Images Using Multi-layer Robust Principal Component Analysis and Mixture Neural Networks.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

2016
Animal Identification in Low Quality Camera-Trap Images Using Very Deep Convolutional Neural Networks and Confidence Thresholds.
Proceedings of the Advances in Visual Computing - 12th International Symposium, 2016

2015
A Markov Random Field and Active Contour Image Segmentation Model for Animal Spots Patterns.
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015


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