8 papers · 1 filter
Optimizing DINOv2 with Registers for Face Anti-Spoofing
Mika Feng, Pierre Gallin-Martel, Koichi Ito +1
Face recognition systems are designed to be robust against variations in head pose, illumination, and image blur during capture. However, malicious actors can exploit these systems…
Backdoor Poisoning Attack Against Face Spoofing Attack Detection Methods
Shota Iwamatsu, Koichi Ito, Takafumi Aoki
Face recognition systems are robust against environmental changes and noise, and thus may be vulnerable to illegal authentication attempts using user face photos, such as spoofing…
Leveraging Intermediate Features of Vision Transformer for Face Anti-Spoofing
Mika Feng, Koichi Ito, Takafumi Aoki +2
Face recognition systems are designed to be robust against changes in head pose, illumination, and blurring during image capture. If a malicious person presents a face photo of the…
ErpGS: Equirectangular Image Rendering enhanced with 3D Gaussian Regularization
Shintaro Ito, Natsuki Takama, Koichi Ito +2
The use of multi-view images acquired by a 360-degree camera can reconstruct a 3D space with a wide area. There are 3D reconstruction methods from equirectangular images based on N…
Stereo Radargrammetry Using Deep Learning from Airborne SAR Images
Tatsuya Sasayama, Shintaro Ito, Koichi Ito +1
In this paper, we propose a stereo radargrammetry method using deep learning from airborne Synthetic Aperture Radar (SAR) images. Deep learning-based methods are considered to suff…
Sparse2DGS: Sparse-View Surface Reconstruction using 2D Gaussian Splatting with Dense Point Cloud
Natsuki Takama, Shintaro Ito, Koichi Ito +2
Gaussian Splatting (GS) has gained attention as a fast and effective method for novel view synthesis. It has also been applied to 3D reconstruction using multi-view images and can…