24 citations · 29 across the 3 of their papers we have counts for
4 papers
MobileTL: On-device Transfer Learning with Inverted Residual Blocks
Hung-Yueh Chiang, Natalia Frumkin, Feng Liang +1
Transfer learning on edge is challenging due to on-device limited resources. Existing work addresses this issue by training a subset of parameters or adding model patches. Develope…
Learning from 2D: Contrastive Pixel-to-Point Knowledge Transfer for 3D Pretraining
Yueh-Cheng Liu, Yu-Kai Huang, Hung-Yueh Chiang +5
Most 3D neural networks are trained from scratch owing to the lack of large-scale labeled 3D datasets. In this paper, we present a novel 3D pretraining method by leveraging 2D netw…
A Unified Point-Based Framework for 3D Segmentation
Hung-Yueh Chiang, Yen-Liang Lin, Yueh-Cheng Liu +1
3D point cloud segmentation remains challenging for structureless and textureless regions. We present a new unified point-based framework for 3D point cloud segmentation that effec…
Netizen-Style Commenting on Fashion Photos: Dataset and Diversity Measures
Wen Hua Lin, Kuan-Ting Chen, Hung Yueh Chiang +1
Recently, deep neural network models have achieved promising results in image captioning task. Yet, "vanilla" sentences, only describing shallow appearances (e.g., types, colors),…