49 citations · 334 across the 30 of their papers we have counts for
4 papers · 1 filter
Automatically Building Face Datasets of New Domains from Weakly Labeled Data with Pretrained Models
Shengyong Ding, Junyu Wu, Wei Xu +1
Training data are critical in face recognition systems. However, labeling a large scale face data for a particular domain is very tedious. In this paper, we propose a method to aut…
Deep Joint Face Hallucination and Recognition
Junyu Wu, Shengyong Ding, Wei Xu +1
Deep models have achieved impressive performance for face hallucination tasks. However, we observe that directly feeding the hallucinated facial images into recog- nition models ca…
One-to-Many Network for Visually Pleasing Compression Artifacts Reduction
Jun Guo, Hongyang Chao
We consider the compression artifacts reduction problem, where a compressed image is transformed into an artifact-free image. Recent approaches for this problem typically train a o…
Effective Clipart Image Vectorization Through Direct Optimization of Bezigons
Ming Yang, Hongyang Chao, Chi Zhang +3
Bezigons, i.e., closed paths composed of Bézier curves, have been widely employed to describe shapes in image vectorization results. However, most existing vectorization techniques…