KNU Vision & Learning Lab
The KNU Vision & Learning (KVL) Lab, part of the Department of Artificial Intelligence at Kyungpook National University (KNU), was established in September 2019. Our primary focus is solving image-based deep learning challenges, including object recognition and detection, generative adversarial networks, video recognition, and more. We also explore vision transformers (ViT), self-supervised learning, AutoML, domain adaptation, and lifelong learning. Additionally, we are interested in generative AI models such as large language models (LLMs), large multimodal models (LMMs), diffusion models, and GANs. However, our research topics are not limited to these areas—we continuously explore new and intriguing topics related to deep learning and computer vision.
Why KVL Lab?
Our lab conducts cutting-edge AI research with the goal of submitting papers to top-tier AI conferences, including CVPR, ICCV, AAAI, NeurIPS, and ICML. For more details, please refer to our Publications page.
Our Lab provides GPU machines to all the members in order to train deep learning models. We have a DGX A100 server (8 A100 GPUs), 12 Quadro 8000 GPUs, and 12 Quadro A6000 GPUs, 8 Titan RTX GPUs.
Our Applications
Deep Learning-based Autonomous Driving using Camera Sensors.
Autonomous Surgery in Medical Area.
Fashion Recognition and Classification.
Anything You Want.