Sangmin Hong

I am a PhD student at the Computer Vision Lab, part of the IPAI at Seoul National University, where I work on 3D computer vision. My PhD advisor is Kyoung Mu Lee.

Before emarking on my doctoral studeis, I completed my Bachelor of Science in Electronic Engineering at the University of Manchester, where I developed a keen interest in the control theory and robotic systems. Following my undergraduate degree, I further specialized by pursuing a Master of Science in Advanced Control and System Engineering from 2019 to 2020. My master's research centered on developing efficeint alogrithms for path planning in autonomous vehciles, aiming to enhance navigational technologies in self-driving cars.

My academic journey reflects a deep commitment to understanding and innovating within the realm of intelligent systems, when I continually strive to blend theoretical research with practical applciations in artificial intelligence and robotics.

Email  /  GitHub  /  Google Scholar  /  LinkedIn

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I'm interested in computer vision, 3d Vision, and AI for Manufacturing

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CNC-Net: Self-Supervised Learning for CNC Machining Operations

Mohsen Yavartanoo*, Sangmin Hong*, Reyhaneh Neshatavar*, Kyoung Mu Lee
IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
arxiv / code / youtube /

We introduce a pioneering approach named CNC-Net, representing the use of deep neural networks (DNNs) to simulate CNC machines and grasp intricate operations when supplied with raw materials.

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ACL-SPC: Adaptive Closed-Loop system for Self-Supervised Point Cloud Completion

Sangmin Hong*, Mohsen Yavartanoo*, Reyhaneh Neshatavar, Kyoung Mu Lee
IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
arxiv / code / youtube /

ACL-SPC takes a single partial input and attempts to output the complete point cloud using an adaptive closed-loop (ACL) system that enforces the output same for the variation of an input.

Design and source code from Jon Barron's website