Date: 09/04 (offline, B09)
Speaker: Dr. Sung-Ho Bae, Associate Professor, Kyung Hee University
Title: Deep Neural Networks and Their Applications
Abstract: This presentation provides an basic overview of deep neural networks and their applications. Especially, this presentation covers basic architectures and types of deep neural networks depending on learning strategies. Also, this presentation aims to explan the fundamental mechanism of deep neural networks in relation of human brain systems.
Date: 09/18 (offline, B09)
Speaker: Dr. Chaeyong Park, Assistant Professor, Korea University
Title: Enhancing Immersive VR Interaction through Haptics and HCI Technologies
Abstract: Achieving realistic and immersive interactions in virtual reality (VR) requires the seamless integration of multimodal feedback, including visual, auditory, and haptic cues. Among these modalities, haptics plays a particularly important role by providing physical sensations across different parts of the body, from the hands and arms to the torso, through feedback such as vibration, impact, and temperature. This seminar presents an overview of haptic technologies, human-computer interaction (HCI) techniques, and interaction methods for virtual environments. It will introduce key research perspectives, recent advances, and practical approaches to designing haptic interactions. In addition, the seminar will highlight several research projects conducted by the speaker, illustrating how different haptic feedback techniques can be designed and applied to enhance presence, realism, and user experience in immersive VR.
Date: 11/20 (TBD)
Speaker: Dr. Sungahn Ko, Associate Professor, POSTECH
Title: TBD
Abstract: TBD
Date: 11/27 (TBD)
Speaker: Dr.Jihyong Oh, Assistant Professor, CAU
Title: Generative Visual Al from Pixels to 4D Worlds
Abstract: Recent advances in generative AI are rapidly reshaping visual intelligence, from pixel-level restoration and enhancement to image and video generation, editing, and dynamic 3D/4D world modeling. In this talk, I will provide an overview of recent research trends in generative visual AI, highlighting how generative priors, multimodal models, and geometric representations are transforming the way visual content is created, restored, and understood. I will also introduce selected examples from our recent research and discuss emerging directions toward agentic visual systems and generative world models.
Course objectives
Nourishing research background by taking seminars for state-of-the-art techniques.
Improving writing skills and learning the submission process by writing a full research paper.
Requirements
Submit summaries (1000 characters or more) of all seminars to [e-campus] (total 5 times) in one week.
Submit your research paper [template]:
Including 'Abstract and Introduction' Sections - by 24:00 on the last day of September
Including 'Related Work and Method' Sections - by 24:00 on the last day of October
Including 'Experiment and Discussion' Sections - by 24:00 on the last day of November
Grading
Attendance (40%)
Summary for seminars (30%)
Completeness of the research paper (30%)