activity
20222026
most citedReconstruction of Manipulated Garment with Guided Deformation Prior

1 citations · 1 across the 10 of their papers we have counts for

collaborators
Showing cs.CVShow all

13 papers · 1 filter

cs.CV2026

GazePrior: Zero-Shot AR/VR Eye Tracking via Learned 3D Gaze Reconstruction

Corentin Dumery, David Colmenares, Alexander Fix +3

Eye tracking (ET) is a foundational technology for advanced AR/VR applications. However, training ET models for every new ET device is challenging: real data collection is costly a…

cs.CV2026

The MixCount Dataset: Bridging the Data Gap for Open-Vocabulary Object Counting

Corentin Dumery, Niki Amini-Naieni, Shervin Naini +1

Object counting is a foundational vision task with over a decade of dedicated research, yet state-of-the-art models still fail systematically in the mixed-object setting that domin…

cs.CV2026

Automated Counting of Stacked Objects in Industrial Inspection

Corentin Dumery, Noa Etté, Aoxiang Fan +4

Visual object counting is a fundamental computer vision task in industrial inspection, where accurate, high-throughput inventory tracking and quality assurance are critical. Moreov…

cs.CV2026

Spatio-Temporal Garment Reconstruction Using Diffusion Mapping via Pattern Coordinates

Yingxuan You, Ren Li, Corentin Dumery +3

Reconstructing 3D clothed humans from monocular images and videos is a fundamental problem with applications in virtual try-on, avatar creation, and mixed reality. Despite signific…

cs.CV2026

Learning Sewing Patterns via Latent Flow Matching of Implicit Fields

Cong Cao, Ren Li, Corentin Dumery +1

Sewing patterns define the structural foundation of garments and are essential for applications such as fashion design, fabrication, and physical simulation. Despite progress in au…

cs.CV2025

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes

Aoxiang Fan, Corentin Dumery, Nicolas Talabot +2

Generalizable neural surface reconstruction has become a compelling technique to reconstruct from few images without per-scene optimization, where dense 3D feature volume has prove…