Jungho Lee

I am a Ph.D candidate at Yonsei University in Seoul, where I work on computer vision and machine learning.

My primary areas of research are 3D computer vision techniques including Neural Radiance Fields (NeRF), and video understanding, specifically focusing on action recognition.

I'm always open to collaborations or suggestions. Please feel free to contact me if you have any questions or suggestions. :)

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We propose a hierarchically decomposed graph convolution with a novel hierarchically decomposed graph, which consider the sematic correlation between the joints and the edges of the human skeleton.

We propose a novel Spatio-Temporal Curve Network (STC-Net) for skeleton-based action recognition, which consists of spatial modules with an spatio-temporal curve (STC) module and graph convolution with dilated kernels (DK-GC)

We propose novel deformable point sampling method and global-local aggregation architecture to integrate object's global information, background, and boundary local information to improve the camouflaged object detection.

We propose a guided slot attention network to reinforce spatial structural information and obtain better foreground–background separation.

This website's source code is borrowed from jonbarron's website.

Last updated July 2023.