51 citations · 125 across the 10 of their papers we have counts for
10 papers
Open-Domain Safety Policy Construction
Di Wu, Siyue Liu, Zixiang Ji +4
Moderation layers are increasingly a core component of many products built on user- or model-generated content. However, drafting and maintaining domain-specific safety policies re…
End-to-End Video Question-Answer Generation with Generator-Pretester Network
Hung-Ting Su, Chen-Hsi Chang, Po-Wei Shen +5
We study a novel task, Video Question-Answer Generation (VQAG), for challenging Video Question Answering (Video QA) task in multimedia. Due to expensive data annotation costs, many…
Situation and Behavior Understanding by Trope Detection on Films
Chen-Hsi Chang, Hung-Ting Su, Jui-heng Hsu +7
The human ability of deep cognitive skills are crucial for the development of various real-world applications that process diverse and abundant user generated input. While recent p…
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…
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…
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…
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…
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…