4 citations · 6 across the 2 of their papers we have counts for
3 papers
cs.RO2025
GraspClutter6D: A Large-scale Real-world Dataset for Robust Perception and Grasping in Cluttered Scenes
Seunghyeok Back, Joosoon Lee, Kangmin Kim +8
Robust grasping in cluttered environments remains an open challenge in robotics. While benchmark datasets have significantly advanced deep learning methods, they mainly focus on si…
cs.CV2022★ 4 cited
Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition
Sungho Shin, Joosoon Lee, Junseok Lee +2
Deep learning has achieved outstanding performance for face recognition benchmarks, but performance reduces significantly for low resolution (LR) images. We propose an attention si…
cs.CV2021★ 2 cited
Deep Learning based Food Instance Segmentation using Synthetic Data
D. Park, J. Lee, K. Lee
In the process of intelligently segmenting foods in images using deep neural networks for diet management, data collection and labeling for network training are very important but…