no code implementations • 18 Sep 2023 • Ting-Ying Lin, Lin-Yung Hsieh, Fu-En Wang, Wen-Shen Wuen, Min Sun
We propose a sparse and privacy-enhanced representation for Human Pose Estimation (HPE).
no code implementations • 22 Mar 2023 • Yi-Shan Lee, Wei-Cheng Tseng, Fu-En Wang, Min Sun
We propose a content-based system for matching video and background music.
1 code implementation • 28 Nov 2022 • Fu-En Wang, Chien-Yi Wang, Min Sun, Shang-Hong Lai
In this paper, we propose MixFairFace framework to improve the fairness in face recognition models.
1 code implementation • 7 Sep 2022 • Fu-En Wang, Yu-Hsuan Yeh, Yi-Hsuan Tsai, Wei-Chen Chiu, Min Sun
Thus, state-of-the-art frameworks for monocular 360 depth estimation such as bi-projection fusion in BiFuse are proposed.
Ranked #12 on Depth Estimation on Stanford2D3D Panoramic
no code implementations • CVPR 2021 • Fu-En Wang, Yu-Hsuan Yeh, Min Sun, Wei-Chen Chiu, Yi-Hsuan Tsai
Although significant progress has been made in room layout estimation, most methods aim to reduce the loss in the 2D pixel coordinate rather than exploiting the room structure in the 3D space.
1 code implementation • 1 Apr 2021 • Fu-En Wang, Yu-Hsuan Yeh, Min Sun, Wei-Chen Chiu, Yi-Hsuan Tsai
Although significant progress has been made in room layout estimation, most methods aim to reduce the loss in the 2D pixel coordinate rather than exploiting the room structure in the 3D space.
3D Room Layouts From A Single RGB Panorama Depth Estimation +2
1 code implementation • CVPR 2020 • Fu-En Wang, Yu-Hsuan Yeh, Min Sun, Wei-Chen Chiu, Yi-Hsuan Tsai
Depth estimation from a monocular 360 image is an emerging problem that gains popularity due to the availability of consumer-level 360 cameras and the complete surrounding sensing capability.
Ranked #15 on Depth Estimation on Stanford2D3D Panoramic
1 code implementation • 30 Mar 2020 • Fu-En Wang, Yu-Hsuan Yeh, Min Sun, Wei-Chen Chiu, Yi-Hsuan Tsai
Inferring the information of 3D layout from a single equirectangular panorama is crucial for numerous applications of virtual reality or robotics (e. g., scene understanding and navigation).
2 code implementations • 20 Dec 2018 • Tsun-Hsuan Wang, Fu-En Wang, Juan-Ting Lin, Yi-Hsuan Tsai, Wei-Chen Chiu, Min Sun
We propose a novel plug-and-play (PnP) module for improving depth prediction with taking arbitrary patterns of sparse depths as input.
1 code implementation • CVPR 2019 • Shang-Ta Yang, Fu-En Wang, Chi-Han Peng, Peter Wonka, Min Sun, Hung-Kuo Chu
We present a deep learning framework, called DuLa-Net, to predict Manhattan-world 3D room layouts from a single RGB panorama.
no code implementations • 13 Nov 2018 • Fu-En Wang, Hou-Ning Hu, Hsien-Tzu Cheng, Juan-Ting Lin, Shang-Ta Yang, Meng-Li Shih, Hung-Kuo Chu, Min Sun
We propose a novel self-supervised learning approach for predicting the omnidirectional depth and camera motion from a 360{\deg} video.