연구
연구
연구실 소개
총 17건의 게시물이 있습니다.
There are a total of 17 posts.
Tactile Interaction (TACT) Lab
- 지도교수Jaeyeon Lee
주요연구
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Research area: Human-Computer Interaction
In the TACT Lab, we are dedicated to engineering the future of computer interfaces. We focus on developing hardware interfaces that enable direct and seamless information exchange between users and computers. In the ever-evolving computing landscape, adapting and exploring new possibilities for interaction is essential. Our lab is committed to pushing the boundaries of what is possible by designing rich and intuitive interactions based on understanding human haptic perception and innovative hardware interfaces.
- 지도교수Seungryul Baek
주요연구
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Research area: Computer Vision
The mission of our lab is to develop the cutting-edge computer vision and machine(deep) learning algorithms. In particular, our lab is focusing on the various computer vision applications including 3D pose estimation and action/gesture recognition of human bodies, faces and hands, 3D reconstruction of objects and scenes, scene and object recognition. We are also concerning about the insufficient data issues in computer vision problem and try to solve it via synthesizing realistic data using GAN, self-supervision, weakly supervised learning, active learning, domain adaptation methods.
- 지도교수Kyungdon Joo
주요연구
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Research area: 3D Vision, Computer Vision, Robot Vision, Machine learning
3D Vision & Robotics Lab mainly focuses on 3D computer vision with a particular focus on geometric and physical aspects. Specifically, our goal is to give the capability to a system (e.g., robots and autonomous vehicles) to understand and interpret various data in a manner that is similar to the way humans use their senses to relate to the world around them. To achieve this goal, our research group focuses on processing and analyzing various sensor data such as image, video, 3D point cloud, and other sensory data. Currently, we are working on the following research agenda: structural understanding (structural perspective) of indoor scenes, 3D perception (e.g., depth estimation, localization) for intelligent agents such as autonomous vehicles, 3D reconstruction, SLAM, sensor fusion.
Machine Learning, Vision and Language Lab
- 지도교수Taehwan Kim
주요연구
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Research area: Machine Learning and applications to Computer Vision and Language Processing
Our lab aims to help understanding and implement human intelligence for most common communication media: vision, speech, and natural language. Since they are connected and correlated to each other, we work on developing effective and efficient machine learning models for multi-modalities, focused on deep sequential and generative models. The specific applications include creative AI to generate image, voice, and/or dialogues, and time-series analysis.
- 지도교수Junghoon Kim
주요연구
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Research area: Data Mining, Social Network Analysis
Our team aims to solve novel research problems in the management of large-scale social media and information systems that surpass traditional boundaries of technology. We are particularly interested in graph data management, network science, and social network analysis problems.
Software Testing and Analysis Research (STAR) Lab
- 지도교수Mijung Kim
주요연구
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Research area: Software Engineering, Software Testing, Program Analaysis
We conduct research in software engineering with an emphasis on software testing and program analysis. The goal of our research is to achieve the reliability and trustworthiness of software in the artificial intelligence domain. We develop automated techniques for detecting faults and security vulnerabilities on autonomous driving systems, machine learning frameworks, and Android applications.
- 지도교수Hyungon Moon
주요연구
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Research area: Computer Security, Computer Architecture, Operating Systems, Program analysis, Machine Learning
We aim to establish a secure computer system that spans from data centers (cloud) through mobile system and IoT systems running our everyday computation tasks.
- 지도교수Jooyong Yi
주요연구
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Research area: Program Analysis+AI
At LOFT (Lab of sOFTware), we develop software for software. As commonly said, software is everywhere. It is on your smartphone, your laptop computer, and servers running all kinds of software you use daily. At our lab, we build software that takes as input any software and finds various problems of the software, and more importantly, fixes the detected problems automatically and guarantees the correctness of the fixed software. The techniques developed in our lab contribute to making software that supports rather than governs us.
- 지도교수Sam H. Noh
주요연구
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Research area: Operating system, Systems for big data and deep learning, Persistent Memory, Flash memory
Our lab conducts research on system software issues in today’s computing infrastructure ranging from embedded systems to large scale systems such as cloud and warehouse scale computers, with a special focus on flash memory based storage devices and non-volatile memory based systems.
- 지도교수Seulki Lee
주요연구
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Research area: Embedded Systems, Machine Learning, Mobile Computing
Embedded Artificial Intelligence (EAI) Lab aims to make resource-constrained real-time and embedded sensing systems capable of learning, adapting, and evolving, which facilitates Embedded AI. We have a vision that Embedded AI will enable billions of computing devices to learn, evolve, and adapt by themselves without requiring any help from other systems or humans. When those self-learning devices are connected together, they will be able to facilitate collective intelligence by learning from each other and exchanging the knowledge learned on each device, providing better insights and making better decisions. Our lab pursues excellence in research by relentlessly pushing forward state-of-the-art science and technology via disruptive ideas, game-changing perspectives, and collaboration. In our lab, we find exciting research problems and solve them, making the world a better place with real impacts. We believe in the future and people and enjoy our research. We try to be the first to take the challenge, overcome the difficulties, solve the problems, and make the world a better place.