activity
20192023
most citedRelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes

47 citations · 64 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2023★ 1 cited

BLIP-Adapter: Parameter-Efficient Transfer Learning for Mobile Screenshot Captioning

Ching-Yu Chiang, I-Hua Chang, Shih-Wei Liao

This study aims to explore efficient tuning methods for the screenshot captioning task. Recently, image captioning has seen significant advancements, but research in captioning tas…

quant-ph2023★ 1 cited

Preparing random state for quantum financing with quantum walks

Yen-Jui Chang, Wei-Ting Wang, Hao-Yuan Chen +2

In recent years, there has been an emerging trend of combining two innovations in computer science and physics to achieve better computation capability. Exploring the potential of…

cs.LG2020★ 7 cited

QR-MIX: Distributional Value Function Factorisation for Cooperative Multi-Agent Reinforcement Learning

Jian Hu, Seth Austin Harding, Haibin Wu +2

In Cooperative Multi-Agent Reinforcement Learning (MARL) and under the setting of Centralized Training with Decentralized Execution (CTDE), agents observe and interact with their e…

cs.CV2019★ 47 cited

RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes

Po-Wei Wu, Yu-Jing Lin, Che-Han Chang +2

Multi-domain image-to-image translation has gained increasing attention recently. Previous methods take an image and some target attributes as inputs and generate an output image w…

cs.CR2019★ 8 cited

An Evaluation of Bitcoin Address Classification based on Transaction History Summarization

Yu-Jing Lin, Po-Wei Wu, Cheng-Han Hsu +2

Bitcoin is a cryptocurrency that features a distributed, decentralized and trustworthy mechanism, which has made Bitcoin a popular global transaction platform. The transaction effi…