Projects

Amazon Ads — Creative Agent for Video Ads (2025–2026)

Contributing to Amazon Ads' agentic AI creative tool — an end-to-end system that produces professional video ads through conversational AI. Built the video transformation pipeline enabling automated multi-format creative production at scale.

Amazon Stores — ASIN-Centric Data at Scale for Subject-Driven Generation (2025)

Built an automated pipeline to curate millions of paired product image samples from the Amazon Catalog for training subject-driven generation models.

Multi-view product images paired with generated lifestyle scenes

Amazon Stores — QA for Synthetic Images (2024)

Developed automated quality assessment of realism for AI-generated product images. Research accepted at CVPR 2025.

QA pipeline: initial image, caption, synthetic generation, grounding, per-object quality annotation

Amazon Stores — Product Image Generation (2023–2024)

Trained large-scale text-to-image generative models for product contextualization on Amazon's Product Detail Page. Generated lifestyle imagery that places products in relevant scenes, reducing dependency on professional photography at scale.

Amazon Stores — Deep Catalog (2022–2023)

Created a 1.36 billion text/image dataset spanning 2,133 product types across 9 marketplaces. Curated and structured the Amazon product image catalog enabling large-scale training of generative models for product contextualization and subject-driven generation.

Tawny — Emotion AI (2021)

Built the computer vision core for Tawny's Emotion AI platform — real-time facial expression analysis that gauges human emotions from camera feeds. Technology deployed across market research, customer service, and retail behavioral analytics.

Selected Publications

Paper thumbnail
Be More Specific: Evaluating Object-centric Realism in Synthetic Images
Anqi Liang, Ciprian Corneanu, Qianli Feng, Giorgio Giannone, Aleix Martinez
Computer Vision and Pattern Recognition, CVPR (2025)
Paper thumbnail
Latentpaint: Image Inpainting in Latent Space With Diffusion Models
Ciprian Corneanu, Raghudeep Gadde, Aleix M. Martinez
Winter Conference on Applications of Computer Vision, WACV (2024)
Paper thumbnail
Computing the Testing Error Without a Testing Set
Ciprian A. Corneanu, Sergio Escalera, Aleix M. Martinez
Computer Vision and Pattern Recognition, CVPR (2020)
Paper thumbnail
What Does It Mean to Learn in Deep Neural Networks? And, How Does One Detect Adversarial Attacks?
Ciprian A. Corneanu, Meysam Madadi, Sergio Escalera
Computer Vision and Pattern Recognition, CVPR (2019)
Paper thumbnail
Deep Structure Inference Network for Facial Action Unit Recognition
Ciprian A. Corneanu, Meysam Madadi, Sergio Escalera
European Conference on Computer Vision, ECCV (2018)
Paper thumbnail
Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-related Applications
Ciprian A. Corneanu, Marc Oliu, Jeffrey Cohn, Sergio Escalera
IEEE Transactions on Pattern Analysis and Machine Intelligence, TPAMI (2016)
Paper thumbnail
Automatic Recognition of Facial Displays of Unfelt Emotions
Kaustubh Kulkarni, Ciprian Corneanu, Ikechukwu Ofodile, Sergio Escalera, Xavier Baró, Sylwia Hyniewska, Juri Allik, Gholamreza Anbarjafari
IEEE Transactions on Affective Computing, TAC (2018)
Paper thumbnail
Continuous Supervised Descent Method for Facial Landmark Localisation
Marc Oliu, Ciprian Corneanu, László A. Jeni, Jeffrey F. Cohn, Takeo Kanade, Sergio Escalera
Asian Conference on Computer Vision, ACCV (2016)
For a complete list of publications, see my Google Scholar profile.

Contact