3 papers
cs.CV2025
SpikeMatch: Semi-Supervised Learning with Temporal Dynamics of Spiking Neural Networks
Jini Yang, Beomseok Oh, Seungryong Kim +1
Spiking neural networks (SNNs) have recently been attracting significant attention for their biological plausibility and energy efficiency, but semi-supervised learning (SSL) metho…
cs.CV2025
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…
cs.CV2024
LatentSwap: An Efficient Latent Code Mapping Framework for Face Swapping
Changho Choi, Minho Kim, Junhyeok Lee +3
We propose LatentSwap, a simple face swapping framework generating a face swap latent code of a given generator. Utilizing randomly sampled latent codes, our framework is light and…