682 citations · 2.5k across the 94 of their papers we have counts for
4 papers · 2 filters
Contextual-based Image Inpainting: Infer, Match, and Translate
Yuhang Song, Chao Yang, Zhe Lin +4
We study the task of image inpainting, which is to fill in the missing region of an incomplete image with plausible contents. To this end, we propose a learning-based approach to g…
Learning Dense Facial Correspondences in Unconstrained Images
Ronald Yu, Shunsuke Saito, Haoxiang Li +2
We present a minimalistic but effective neural network that computes dense facial correspondences in highly unconstrained RGB images. Our network learns a per-pixel flow and a matc…
Inspiring Computer Vision System Solutions
Julian Zilly, Amit Boyarski, Micael Carvalho +8
The "digital Michelangelo project" was a seminal computer vision project in the early 2000's that pushed the capabilities of acquisition systems and involved multiple people from d…
Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM
Cong Leng, Hao Li, Shenghuo Zhu +1
Although deep learning models are highly effective for various learning tasks, their high computational costs prohibit the deployment to scenarios where either memory or computatio…