15 papers
DINO-VPT: Hierarchical Visual Prompt Tuning for Joint Physical-Digital Face Anti-Spoofing
Pierre Gallin-Martel, Mika Feng, Koichi Ito +1
With the increasing diversity of spoofing attacks, there is a growing demand for unified Face Anti-Spoofing (FAS) models capable of detecting both physical and digital threats. Whi…
MAGE-Vein: Multi-Instance Age and Gender Estimation from Finger Vein Images
Katsuki Tanaka, Koichi Ito, Takafumi Aoki +4
Age estimation from finger vein images has been widely considered impractical due to severe demographic biases in public datasets and physiological confounding factors like gender.…
PC-Seg: Progressive Cross-View Consistency for 3D OCT Segmentation from Sparse 2D Annotations
Tsubasa Konno, Takahiro Ninomiya, Yukun Zhou +6
Volumetric segmentation of optical coherence tomography (OCT) images is essential for diagnosing ocular diseases but requires labor-intensive voxel-wise annotations. While semi-sup…
G-MASt3R-SfM: Graph-based View Pruning and Multi-stage Optimization for Robust SfM
Toshiki Watanabe, Shintaro Ito, Natsuki Takama +2
Structure from Motion (SfM) is essential for multi-view 3D reconstruction, however, its accuracy heavily relies on the accuracy of image matching. While the recent correspondence m…
Benchmarking Vision Foundation Models for Domain-Generalizable Face Anti-Spoofing
Mika Feng, Pierre Gallin-Martel, Koichi Ito +1
Face Anti-Spoofing (FAS) remains challenging due to the requirement for robust domain generalization across unseen environments. While recent trends leverage Vision-Language Models…
PlankFormer: Robust Plankton Instance Segmentation via MAE-Pretrained Vision Transformers and Pseudo Community Image Generation
Masaharu Miyazaki, Yurie Otake, Koichi Ito +3
Plankton monitoring is essential for assessing aquatic ecosystems but is limited by the labor-intensive nature of manual microscopic analysis. Automating the segmentation of plankt…