I-Jieh Liu — accepted AI-conference papers

2024

GSNeRF: Generalizable Semantic Neural Radiance Fields with Enhanced 3D Scene Understanding

Zi-Ting Chou, Sheng-Yu Huang, I-Jieh Liu, Yu-Chiang Frank Wang

CVPR 2024poster

Utilizing multi-view inputs to synthesize novel-view images Neural Radiance Fields (NeRF) have emerged as a popular research topic in 3D vision. In this work we introduce a Generalizable Semantic Neural Radiance Field (GSNeRF) which uniquely takes image semantics into the synthesis process so that b…

Cited by 8 Source ↗PDF ↗Scholar ↗

2024

Language-Guided Transformer for Federated Multi-Label Classification

I-Jieh Liu, Ci-Siang Lin, Fu-En Yang, Yu-Chiang Frank Wang

AAAI 2024technical

Federated Learning (FL) is an emerging paradigm that enables multiple users to collaboratively train a robust model in a privacy-preserving manner without sharing their private data. Most existing approaches of FL only consider traditional single-label image classification, ignoring the impact when…

Cited by 5 Source ↗PDF ↗code ↗Scholar ↗