activity
20192026
most citedLearnable Gated Temporal Shift Module for Deep Video Inpainting

51 citations · 125 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.CV2020★ 3 cited

Unified Representation Learning for Cross Model Compatibility

Chien-Yi Wang, Ya-Liang Chang, Shang-Ta Yang +2

We propose a unified representation learning framework to address the Cross Model Compatibility (CMC) problem in the context of visual search applications. Cross compatibility betw…

cs.CV2020★ 17 cited

xCos: An Explainable Cosine Metric for Face Verification Task

Yu-Sheng Lin, Zhe-Yu Liu, Yu-An Chen +3

We study the XAI (explainable AI) on the face recognition task, particularly the face verification here. Face verification is a crucial task in recent days and it has been deployed…

cs.CV2019★ 51 cited

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…

cs.CV2019★ 6 cited

VORNet: Spatio-temporally Consistent Video Inpainting for Object Removal

Ya-Liang Chang, Zhe Yu Liu, Winston Hsu

Video object removal is a challenging task in video processing that often requires massive human efforts. Given the mask of the foreground object in each frame, the goal is to comp…

cs.CV2019★ 10 cited

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…