Resume
Academic Achievements
- Publications:
- - [AAAI 2023] MixFairFace: Towards Ultimate Fairness via MixFair Adapter in Face Recognition
- - [TPAMI 2022] BiFuse++: Self-supervised and Efficient Bi-projection Fusion for 360˚ Depth Estimation
- - [CVPR 2021 Oral] LED^2-Net: Monocular 360˚ Layout Estimation via Differentiable Depth Rendering
- - [CVPR 2020] BiFuse: Monocular 360˚ Depth Estimation via Bi-Projection Fusion
- - [CVPR 2019] DuLa-Net: A Dual-Projection Network for Estimating Room Layouts from a Single RGB Panorama
- - [ACCV 2018 Oral] Self-supervised Learning of Depth and Camera Motion from 360˚ Videos
- - [Arxiv] LayoutMP3D: Layout Annotation of Matterport3D
- - [ICRA 2019] Plug-and-play: Improve depth prediction via sparse data propagation
Education
- Pursuing a PhD degree in Electrical Engineering at National Tsing Hua University.
Background
- Research interests include indoor scene understanding, 360˚ vision with depth and layout estimation.
Miscellany
- Skills:
- - Computer Vision
- - Deep Learning
- - 360˚ Vision
- - 3D Vision
- - Deep Learning Frameworks: PyTorch (60%), TensorFlow (80%)
- - Programming Languages: Python (60%), C/C++ (80%), MATLAB (95%)
- Contact Information:
- - Location: Hsinchu, Taiwan
- - Email: fulton84717@gmail.com
- - Links: Google Scholar, GitHub, LinkedIn, CV, PhD Dissertation