Professor Jun-Hyuk Kim Seeking deeper insights into AI through compression Compression AI CV ML M.S. Students Deok-Hyeon Yoon Exploring efficient representation and meaningful learning for vision-language models 🌠 Long-Tail Learning Efficient Inference Representation Learning Taemin Hong Making segmentation models lighter without losing the tail Model Compression Medical Imaging Efficient ViT Undergraduate Students Min-Gyu Chang Exploring representation learning for generalized AI models 💫 Representation Learning Vision-Language Alignment Joonyoung Jo Building robot agents using vision, language, and past experience to make reliable decisions 🤖 Vision-Language-Action Reinforcement Learning Jae-Young Yang Understanding how AI represents and reasons about the visual world 🌐 Computer Vision Spatial Intelligence Interpretability Yoon-Hoo Lee Exploring balancing inductive bias and efficiency in machine learning ⚖️ AI ML CV Yun-Hu Ko Exploring the mathematical foundations of efficient inference in vision models Mathematical Foundations Computer Vision Efficient Inference
Deok-Hyeon Yoon Exploring efficient representation and meaningful learning for vision-language models 🌠 Long-Tail Learning Efficient Inference Representation Learning
Taemin Hong Making segmentation models lighter without losing the tail Model Compression Medical Imaging Efficient ViT
Min-Gyu Chang Exploring representation learning for generalized AI models 💫 Representation Learning Vision-Language Alignment
Joonyoung Jo Building robot agents using vision, language, and past experience to make reliable decisions 🤖 Vision-Language-Action Reinforcement Learning
Jae-Young Yang Understanding how AI represents and reasons about the visual world 🌐 Computer Vision Spatial Intelligence Interpretability
Yun-Hu Ko Exploring the mathematical foundations of efficient inference in vision models Mathematical Foundations Computer Vision Efficient Inference
