51 citations · 87 across the 6 of their papers we have counts for
6 papers
Do Pre-trained Models Benefit Equally in Continual Learning?
Kuan-Ying Lee, Yuanyi Zhong, Yu-Xiong Wang
Existing work on continual learning (CL) is primarily devoted to developing algorithms for models trained from scratch. Despite their encouraging performance on contrived benchmark…
E-commerce Query-based Generation based on User Review
Yiren Liu, Kuan-Ying Lee
With the increasing number of merchandise on e-commerce platforms, users tend to refer to reviews of other shoppers to decide which product they should buy. However, with so many r…
Deep Long Audio Inpainting
Ya-Liang Chang, Kuan-Ying Lee, Po-Yu Wu +2
Long (> 200 ms) audio inpainting, to recover a long missing part in an audio segment, could be widely applied to audio editing tasks and transmission loss recovery. It is a very ch…
Learnable Gated Temporal Shift Module for Deep Video Inpainting
Ya-Liang Chang, Zhe Yu Liu, Kuan-Ying Lee +1
How to efficiently utilize temporal information to recover videos in a consistent way is the main issue for video inpainting problems. Conventional 2D CNNs have achieved good perfo…
Free-form Video Inpainting with 3D Gated Convolution and Temporal PatchGAN
Ya-Liang Chang, Zhe Yu Liu, Kuan-Ying Lee +1
Free-form video inpainting is a very challenging task that could be widely used for video editing such as text removal. Existing patch-based methods could not handle non-repetitive…
We Can "See" You via Wi-Fi - WiFi Action Recognition via Vision-based Methods
Jen-Yin Chang, Kuan-Ying Lee, Yu-Lin Wei +2
Recently, Wi-Fi has caught tremendous attention for its ubiquity, and, motivated by Wi-Fi's low cost and privacy preservation, researchers have been putting lots of investigation i…