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Aleix M. Martinez

11 papers · 2007–2025 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (22) πŸƒ Academic Marathon Β· Full 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧬 Topic Evolution πŸ—ƒοΈ Keyword Collector (52) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ’Ž Century Club Β· Bronze πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner (2)

Venues

CVPR (4) ICCV (3) WACV (2) ECCV (1) JMLR (1)

Top co-authors

Qianli Feng (3) Ciprian A. Corneanu (3) C. Fabian Benitez-Quiroz (2) Raghudeep Gadde (2) Sergio Escalera (2) Wen-Sheng Chu (1) Antonio Agudo (1) Fabian Benitez-Quiroz (1) Onur C. Hamsici (1) Ciprian Corneanu (1)

Research topics

Computer Vision (6) Deep Learning (6) Machine Learning (6) Models (4) Analysis (3) Generation (3) Artificial Intelligence (2) Architectures (2) Core AI (2) Learning Types (2) Optimization & Theory (2) Interdisciplinary (1) Mathematics & Optimization (1) Application Areas (1) Core Methods (1)

Keywords

image generation (3) deep neural network (2) generative adversarial network (2) generative model (2) text-to-image generation (1) face analysis (1) scalable learning (1) emotion recognition (1) spectral clustering (1) image editing (1) weakly supervised learning (1) affective computing (1) gaussian approximation (1) image inpainting (1) adversarial attack (1) embedding learning (1) diffusion model (1) spectral algorithm (1) network architecture (1) representation learning (1)

Papers

Structured Human Assessment of Text-to-Image Generative Models WACV 2025 LatentPaint: Image Inpainting in Latent Space With Diffusion Models WACV 2024 Detail Me More: Improving GAN's Photo-Realism of Complex Scenes ICCV 2021 When Do GANs Replicate? On the Choice of Dataset Size ICCV 2021 Computing the Testing Error Without a Testing Set CVPR 2020 What Does It Mean to Learn in Deep Networks? And, How Does One Detect Adversarial Attacks? CVPR 2019 GANimation: Anatomically-aware Facial Animation from a Single Image ECCV 2018 Learning Facial Action Units From Web Images With Scalable Weakly Supervised Clustering CVPR 2018 Recognition of Action Units in the Wild With Deep Nets and a New Global-Local Loss ICCV 2017 EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild CVPR 2016 Spherical-Homoscedastic Distributions: The Equivalency of Spherical and Normal Distributions in Classification JMLR 2007