4 citations · 5 across the 6 of their papers we have counts for
6 papers
RevoNAD: Reflective Evolutionary Exploration for Neural Architecture Design
Gyusam Chang, Jeongyoon Yoon, Shin han yi +3
Recent progress in leveraging large language models (LLMs) has enabled Neural Architecture Design (NAD) systems to generate new architecture not limited from manually predefined se…
Reconstruction Using the Invisible: Intuition from NIR and Metadata for Enhanced 3D Gaussian Splatting
Gyusam Chang, Tuan-Anh Vu, Vivek Alumootil +4
While 3D Gaussian Splatting (3DGS) has rapidly advanced, its application in agriculture remains underexplored. Agricultural scenes present unique challenges for 3D reconstruction m…
VAT-KG: Knowledge-Intensive Multimodal Knowledge Graph Dataset for Retrieval-Augmented Generation
Hyeongcheol Park, Jiyoung Seo, MinHyuk Jang +5
Multimodal Knowledge Graphs (MMKGs), which represent explicit knowledge across multiple modalities, play a pivotal role by complementing the implicit knowledge of Multimodal Large…
Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection
Gyusam Chang, Jiwon Lee, Donghyun Kim +5
Recent advances in 3D object detection leveraging multi-view cameras have demonstrated their practical and economical value in various challenging vision tasks. However, typical su…
CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-Based 3D Object Detection
Gyusam Chang, Wonseok Roh, Sujin Jang +6
Recent LiDAR-based 3D Object Detection (3DOD) methods show promising results, but they often do not generalize well to target domains outside the source (or training) data distribu…
ORA3D: Overlap Region Aware Multi-view 3D Object Detection
Wonseok Roh, Gyusam Chang, Seokha Moon +5
Current multi-view 3D object detection methods often fail to detect objects in the overlap region properly, and the networks' understanding of the scene is often limited to that of…