G-MAD: A Game-Based Data Generation Framework for Multi-View RGB-T Aerial Object Detection
ACM International Conference on Multimedia (MM)
I study how machines
learn to see and act
AffiliationLIG Defense&Aerospace, AI Laboratory
LocationPanggyo House, South Korea
01
Representation Learning
Learn robust and transferable representations that generalize across changing environments, sensing conditions, and data distributions.
02
Multimodal Understanding
Learn to integrate visual, linguistic, and other sensory information to understand complex real-world phenomena.
03
Intelligent Systems
Develop autonomous systems that combine perception, reasoning, and decision-making to interact effectively with dynamic environments.
NSegment: Label-specific Deformations for Remote Sensing Image Segmentation
IEEE Geoscience and Remote Sensing Letters (GRSL)
NBBOX: Noisy Bounding Box Improves Remote Sensing Object Detection
IEEE Geoscience and Remote Sensing Letters (GRSL)
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Yechan Kim?
Short Biography