Free-form Video Inpainting with 3D Gated Convolution and Temporal PatchGAN

2 code implementations • ICCV 2019 • Ya-Liang Chang, Zhe Yu Liu, Kuan-Ying Lee, Winston Hsu

Free-form video inpainting is a very challenging task that could be widely used for video editing such as text removal.

Video Editing Video Inpainting

Learnable Gated Temporal Shift Module for Deep Video Inpainting

2 code implementations • 2 Jul 2019 • Ya-Liang Chang, Zhe Yu Liu, Kuan-Ying Lee, Winston Hsu

How to efficiently utilize temporal information to recover videos in a consistent way is the main issue for video inpainting problems.

Image Inpainting Video Inpainting

Situation and Behavior Understanding by Trope Detection on Films

1 code implementation • 19 Jan 2021 • Chen-Hsi Chang, Hung-Ting Su, Jui-heng Hsu, Yu-Siang Wang, Yu-Cheng Chang, Zhe Yu Liu, Ya-Liang Chang, Wen-Feng Cheng, Ke-Jyun Wang, Winston H. Hsu

Experimental result demonstrates that modern models including BERT contextual embedding, movie tag prediction systems, and relational networks, perform at most 37% of human performance (23. 97/64. 87) in terms of F1 score.

Reading Comprehension Sentence +1

VORNet: Spatio-temporally Consistent Video Inpainting for Object Removal

no code implementations • 14 Apr 2019 • Ya-Liang Chang, Zhe Yu Liu, Winston Hsu

Video object removal is a challenging task in video processing that often requires massive human efforts.

Image Inpainting Object +5

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

no code implementations • 21 Oct 2020 • Kuang-Yu Jeng, Yueh-Cheng Liu, Zhe Yu Liu, Jen-Wei Wang, Ya-Liang Chang, Hung-Ting Su, Winston H. Hsu

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 accurate 6-DoF grasps based on point clouds.