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Gyusam Chang

3 accepted papers

2026

Reconstruction Using the Invisible: Intuition from NIR and Metadata for Enhanced 3D Gaussian Splatting

AAAI 2026technical

While 3D Gaussian Splatting (3DGS) has rapidly advanced, its application in agriculture remains underexplored. Agricultural scenes pose unique challenges for 3D reconstruction methods, notably uneven illumination, occlusions, and limited perspectives. To address these limitations, we introduce NTRPl

Cited by 0SourcePDFScholar
2024

CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-Based 3D Object Detection

AAAI 2024technical

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 distribution. To reduce such domain gaps and thus to make 3DOD models more generalizable, we introduce a novel unsupervised doma…

Cited by 4SourcePDFScholar
2024

Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection

NeurIPS 2024poster

Recent advances in 3D object detection leveraging multi-view cameras have demonstrated their practical and economical value in various challenging vision tasks. However, typical supervised learning approaches face challenges in achieving satisfactory adaptation toward unseen and unlabeled target dat…

Cited by 1SourcePDFScholar