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Dae-Won Kim

2 accepted papers

2026

Critical Patch-Aware Sparse Prompting with Decoupled Training for Continual Learning on the Edge

CVPR 2026

Continual learning (CL) on edge devices requires not only high accuracy but also training-time efficiency to support on-device adaptation under strict memory and computational constraints. While prompt-based continual learning (PCL) is parameter-efficient and achieves competitive accuracy, prior wor

Cited by 0SourcecodeScholar
2024

CALANet: Cheap All-Layer Aggregation for Human Activity Recognition

NeurIPS 2024poster

With the steady growth of sensing technology and wearable devices, sensor-based human activity recognition has become essential in widespread applications, such as healthcare monitoring and fitness tracking, where accurate and real-time systems are required. To achieve real-time response, recent st…