Dae Ung Jo — accepted AI-conference papers

2023

STXD: Structural and Temporal Cross-Modal Distillation for Multi-View 3D Object Detection

Sujin Jang, Dae Ung Jo, Sung Ju Hwang, Dongwook Lee, Daehyun Ji

NeurIPS 2023poster

3D object detection (3DOD) from multi-view images is an economically appealing alternative to expensive LiDAR-based detectors, but also an extremely challenging task due to the absence of precise spatial cues. Recent studies have leveraged the teacher-student paradigm for cross-modal distillation, w…

Cited by 8 Source ↗PDF ↗Scholar ↗

2021

Class-Attentive Diffusion Network for Semi-Supervised Classification

Jongin Lim, Daeho Um, Hyung Jin Chang, Dae Ung Jo, Jin Young Choi

AAAI 2021technical

Recently, graph neural networks for semi-supervised classification have been widely studied. However, existing methods only use the information of limited neighbors and do not deal with the inter-class connections in graphs. In this paper, we propose Adaptive aggregation with Class-Attentive Diffusi…

Cited by 17 Source ↗PDF ↗code ↗Scholar ↗