5 papers
PLOT: Pseudo-Labeling via Object Tracking for Monocular 3D Object Detection
Seokyeong Lee, Sithu Aung, Junyong Choi +3
Monocular 3D object detection is crucial for scalable perception across fields like autonomous driving, robotics, and surveillance. However, progress is hindered by limited 3D anno…
V-NAW: Video-based Noise-aware Adaptive Weighting for Facial Expression Recognition
JunGyu Lee, Kunyoung Lee, Haesol Park +2
Facial Expression Recognition (FER) plays a crucial role in human affective analysis and has been widely applied in computer vision tasks such as human-computer interaction and psy…
Channel-wise Noise Scheduled Diffusion for Inverse Rendering in Indoor Scenes
JunYong Choi, Min-Cheol Sagong, SeokYeong Lee +3
We propose a diffusion-based inverse rendering framework that decomposes a single RGB image into geometry, material, and lighting. Inverse rendering is inherently ill-posed, making…
VIGFace: Virtual Identity Generation for Privacy-Free Face Recognition
Minsoo Kim, Min-Cheol Sagong, Gi Pyo Nam +2
Deep learning-based face recognition continues to face challenges due to its reliance on huge datasets obtained from web crawling, which can be costly to gather and raise significa…
MAIR++: Improving Multi-view Attention Inverse Rendering with Implicit Lighting Representation
JunYong Choi, SeokYeong Lee, Haesol Park +3
In this paper, we propose a scene-level inverse rendering framework that uses multi-view images to decompose the scene into geometry, SVBRDF, and 3D spatially-varying lighting. Whi…