3 papers
cs.CV2026
EdgeZSAD: Practical Zero-Shot Anomaly Detection on Edge Devices
Taewan Cho, Andrew Jaeyong Choi
Industrial inspection needs zero-shot anomaly detection (ZSAD) that remains useful under edge deployment constraints. Recent methods often rely on ViT-L foundation backbones (~300M…
cs.CV2026
SPACE-CLIP: Spatial Perception via Adaptive CLIP Embeddings for Monocular Depth Estimation
Taewan Cho, Taeryang Kim, Andrew Jaeyong Choi
Robotic and autonomous systems need dense spatial cues, but many monocular depth models are heavy, task-specific, or hard to attach to an existing multimodal stack. CLIP offers str…
cs.RO2026
RetoVLA: Reusing Register Tokens for Spatial Reasoning in Vision-Language-Action Models
Jiyeon Koo, Taewan Cho, Hyunjoon Kang +4
Vision-Language-Action (VLA) models have demonstrated robust performance across diverse robotic tasks. However, their high memory and computational demands often limit real-time de…