Aleix M. Martı́nez
Computer Science · The Ohio State University
Publications
157
Citations
17,380
Est. group size
—
Recurring co-author estimate
Active years
29
Publishing since 1998
This researcher works in computer vision and machine learning, with a focus on generative AI models such as GANs and diffusion models, and their use in image generation, editing, and evaluation. Earlier work in this record also includes face and expression recognition and image-based analysis for biological research. The work generally involves developing or improving deep learning methods for creating and understanding synthetic images.
Publication output was higher around 2017-2018, then declined and has remained lower and more variable through the early 2020s, averaging about 3 papers per year over the last five years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Your AI-Generated Assets May Not Be Yours
Computer · 2026
- Structured Human Assessment of Text-to-Image Generative Models
2025
- Feedback-Driven Vision-Language Alignment with Minimal Human Supervision
arXiv (Cornell University) · 2025
- Be More Specific: Evaluating Object-centric Realism in Synthetic Images
2025
- Disentanglement in T-space for Faster and Distributed Training of Diffusion Models with Fewer Latent-states
arXiv (Cornell University) · 2025
- LatentPaint: Image Inpainting in Latent Space with Diffusion Models
2024
- Characterization of microglia behaviour in healthy and pathological conditions with image analysis tools
Open Biology · 2023
- Network-Free, Unsupervised Semantic Segmentation with Synthetic Images
2023
- Structural Similarity: When to Use Deep Generative Models on Imbalanced Image Dataset Augmentation
arXiv (Cornell University) · 2023
- Near Perfect GAN Inversion
CaltechAUTHORS (California Institute of Technology) · 2022
- Rayleigh EigenDirections (REDs): Nonlinear GAN Latent Space Traversals for Multidimensional Features
Lecture notes in computer science · 2022
- When do GANs replicate? On the choice of dataset size
arXiv (Cornell University) · 2022
- Rayleigh EigenDirections (REDs): GAN latent space traversals for multidimensional features
arXiv (Cornell University) · 2022
- Author response for "Characterization of microglia behaviour in healthy and pathological conditions with image analysis tools"
2022
- Adding Knowledge to Unsupervised Algorithms for the Recognition of Intent
International Journal of Computer Vision · 2021
- arXiv (Cornell University)×15
- Journal of Vision×6
- Lecture notes in computer science×4
- IEEE Transactions on Pattern Analysis and Machine Intelligence×3
- International Journal of Computer Vision×2
- Thái Hoàng Lê
Computer Science · Indiana University
- Haoyu Chen
Computer Science · Purdue University West Lafayette
- Huyunting Huang
Computer Science · Purdue University West Lafayette
- Saber Sheybani
Neuroscience · Indiana University
- Yuanyuan Zhang
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
Claim or correct this profile