activity
20142023
most citedLearnable Gated Temporal Shift Module for Deep Video Inpainting

51 citations · 338 across the 55 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

eess.IV2020

Raw Image Deblurring

Chih-Hung Liang, Yu-An Chen, Yueh-Cheng Liu +1

Deep learning-based blind image deblurring plays an essential role in solving image blur since all existing kernels are limited in modeling the real world blur. Thus far, researche…

cs.RO2020★ 14 cited

GDN: A Coarse-To-Fine (C2F) Representation for End-To-End 6-DoF Grasp Detection

Kuang-Yu Jeng, Yueh-Cheng Liu, Zhe Yu Liu +4

We proposed an end-to-end grasp detection network, Grasp Detection Network (GDN), cooperated with a novel coarse-to-fine (C2F) grasp representation design to detect diverse and acc…

eess.IV2020★ 1 cited

Efficient and Phase-aware Video Super-resolution for Cardiac MRI

Jhih-Yuan Lin, Yu-Cheng Chang, Winston H. Hsu

Cardiac Magnetic Resonance Imaging (CMR) is widely used since it can illustrate the structure and function of heart in a non-invasive and painless way. However, it is time-consumin…

cs.LG2020★ 5 cited

Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot Learning

Jia-Fong Yeh, Hsin-Ying Lee, Bing-Chen Tsai +3

In recent years, few-shot learning problems have received a lot of attention. While methods in most previous works were trained and tested on datasets in one single domain, cross-d…

cs.CV2020★ 1 cited

Expanding Sparse Guidance for Stereo Matching

Yu-Kai Huang, Yueh-Cheng Liu, Tsung-Han Wu +2

The performance of image based stereo estimation suffers from lighting variations, repetitive patterns and homogeneous appearance. Moreover, to achieve good performance, stereo sup…

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…