51 citations · 87 across the 6 of their papers we have counts for
6 papers
OnUVS: Online Feature Decoupling Framework for High-Fidelity Ultrasound Video Synthesis
Han Zhou, Dong Ni, Ao Chang +10
Ultrasound (US) imaging is indispensable in clinical practice. To diagnose certain diseases, sonographers must observe corresponding dynamic anatomic structures to gather comprehen…
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…
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…
Video Question Generation via Cross-Modal Self-Attention Networks Learning
Yu-Siang Wang, Hung-Ting Su, Chen-Hsi Chang +2
We introduce a novel task, Video Question Generation (Video QG). A Video QG model automatically generates questions given a video clip and its corresponding dialogues. Video QG req…
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…
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…