2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2025
Vessel segmentation for X-separation
Taechang Kim, Sooyeon Ji, Kyeongseon Min +5
-separation is an advanced quantitative susceptibility mapping (QSM) method that is designed to generate paramagnetic () and diamagnetic () susceptibility m…
cs.LG2024★ 2 cited
QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference
Taesu Kim, Jongho Lee, Daehyun Ahn +4
We introduce QUICK, a group of novel optimized CUDA kernels for the efficient inference of quantized Large Language Models (LLMs). QUICK addresses the shared memory bank-conflict p…
eess.IV2024
Fast and accurate sparse-view CBCT reconstruction using meta-learned neural attenuation field and hash-encoding regularization
Heejun Shin, Taehee Kim, Jongho Lee +3
Cone beam computed tomography (CBCT) is an emerging medical imaging technique to visualize the internal anatomical structures of patients. During a CBCT scan, several projection im…