Tzuhsuan Huang — accepted AI-conference papers

2024

Blenda: Domain Adaptive Object Detection Through Diffusion-Based Blending

Tzuhsuan Huang, Chen-Che Huang, Chung-Hao Ku, Jun-Cheng Chen

ICASSP 2024accepted

Unsupervised domain adaptation (UDA) aims to transfer a model learned using labeled data from the source domain to unlabeled data in the target domain. To address the large domain gap issue between the source and target domains, we propose a novel regularization method for domain adaptive object det…

Cited by 0 Source ↗Scholar ↗

2024

MeDM: Mediating Image Diffusion Models for Video-to-Video Translation with Temporal Correspondence Guidance

Ernie Chu, Tzuhsuan Huang, Shuo-Yen Lin, Jun-Cheng Chen

AAAI 2024technical

This study introduces an efficient and effective method, MeDM, that utilizes pre-trained image Diffusion Models for video-to-video translation with consistent temporal flow. The proposed framework can render videos from scene position information, such as a normal G-buffer, or perform text-guided ed…

Cited by 11 Source ↗PDF ↗code ↗Scholar ↗