Artificial Intelligence Major26
Artificial Intelligence in Interdisciplinary Studies
DGIST Artificial Intelligence Major aims to foster world-class AI talents with practical capabilities through innovation in AI education, research, and industry-academia cooperation.
We aim to meet the AI demand for the nation and global society through research on core AI technologies and service implementation technologies while leading global AI research based on top-level talent training and research capabilities..
DGIST Artificial Intelligence Major in Interdisciplinary Studies Homepage
Subject
- Focused Ultrasound(FUS), Deconvolution, Fourier-wavlet regularization deconvolution (ForWaRD) 1
- Foundation model, Monocular depth estimation, Zero-shot depth estimation, Knowledge distillation 1
- High-speed wireline, clock and data recovery, ADC-based CDR, Muller-Mueller CDR 1
- Joint caching and routing, LEO satellite networks, Load balancing, Lyapunov optimization, Reinforcement Learning 1
- Machine Learning 1
- Masked image modeling, Domain generalization, Fundus photography, Diabetic retinopathy 1
- Monocular 3D object detection, Autonomous driving, Recognition, Regression, Metric Learning 1
- Monocular depth estimation, Zero-shot depth estimation, Foundation model 1
- Peg-in-hole, Contact-rich manipulation task, multi-task control, Hierarchical control framework, Disturbance observer, Force/moment feedback control 1
- Robot Operating System 2, Data Distribution Service, Discovery Protocol, Multi node Multi Robot System, Wireless Network 1
Co-Author(s)
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Recent Submissions
- Peg-in-Hole Insertion: A Hierarchical Control Framework with Environment-Adaptive Zero-Moment Strategy
- Content-Adaptive Image Style Transfer with Pretrained VQ Autoencoders
- DEQ-Stereo: Deep Equilibrium Video Stereo Matching with Temporal State Transfer
- Isaac Sim: Revolutionizing VR Controller Precision for Micromanipulation using Time2Vec+Transformer Model
- Bridging Geometric and Semantic Cues for Monocular Depth Estimation