4 papers indexed
Pierre Gallin-Martel, Mika Feng, Koichi Ito, Takafumi Aoki
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. While existing Vision-Language Models (VLMs) demonstrate high generalization in this context, they heav…
Katsuki Tanaka, Koichi Ito, Takafumi Aoki, Masakazu Fujio, Yosuke Kaga, Kanade Oshima, et al.
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. To overcome these limitations, we propose MAGE-Vein, a novel multi-instance, multi-task learning fr…
Tsubasa Konno, Takahiro Ninomiya, Yukun Zhou, Koichi Ito, Siegfried K. Wagner, Yiqun Lin, et al.
Volumetric segmentation of optical coherence tomography (OCT) images is essential for diagnosing ocular diseases but requires labor-intensive voxel-wise annotations. While semi-supervised learning (SSL) can reduce annotation costs, most existing methods process data slice by slic…
Heyang Hua, Koichi Ito, Filip Biljecki
Understanding cyclist preferences for the characteristics of the built environment is important in promoting sustainable urban transportation and active mobility. Despite previous studies on cyclists' route choices, the influence of visual and non-visual factors on these choices…