49 citations · 334 across the 30 of their papers we have counts for
Showing 2016 · cs.CVShow all
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cs.CV2016★ 1 cited
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…
cs.CV2016★ 33 cited
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…
cs.CV2016★ 6 cited
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…