33 citations · 37 across the 3 of their papers we have counts for
7 papers
MixFairFace: Towards Ultimate Fairness via MixFair Adapter in Face Recognition
Fu-En Wang, Chien-Yi Wang, Min Sun +1
Although significant progress has been made in face recognition, demographic bias still exists in face recognition systems. For instance, it usually happens that the face recogniti…
BiFuse++: Self-supervised and Efficient Bi-projection Fusion for 360 Depth Estimation
Fu-En Wang, Yu-Hsuan Yeh, Yi-Hsuan Tsai +2
Due to the rise of spherical cameras, monocular 360 depth estimation becomes an important technique for many applications (e.g., autonomous systems). Thus, state-of-the-art framewo…
LED2-Net: Monocular 360 Layout Estimation via Differentiable Depth Rendering
Fu-En Wang, Yu-Hsuan Yeh, Min Sun +2
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 t…
LayoutMP3D: Layout Annotation of Matterport3D
Fu-En Wang, Yu-Hsuan Yeh, Min Sun +2
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 nav…
Plug-and-Play: Improve Depth Estimation via Sparse Data Propagation
Tsun-Hsuan Wang, Fu-En Wang, Juan-Ting Lin +3
We propose a novel plug-and-play (PnP) module for improving depth prediction with taking arbitrary patterns of sparse depths as input. Given any pre-trained depth prediction model,…
Self-Supervised Learning of Depth and Camera Motion from 360° Videos
Fu-En Wang, Hou-Ning Hu, Hsien-Tzu Cheng +5
As 360° cameras become prevalent in many autonomous systems (e.g., self-driving cars and drones), efficient 360° perception becomes more and more important. We propose a novel self…