activity
20172021
most citedFace R-CNN

10 citations · 19 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV20217 cited

AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation

Bing Li, Yuanlue Zhu, Yitong Wang +3

In this paper, we propose a novel framework to translate a portrait photo-face into an anime appearance. Our aim is to synthesize anime-faces which are style-consistent with a give…

cs.CV20212 cited

Human De-occlusion: Invisible Perception and Recovery for Humans

Qiang Zhou, Shiyin Wang, Yitong Wang +2

In this paper, we tackle the problem of human de-occlusion which reasons about occluded segmentation masks and invisible appearance content of humans. In particular, a two-stage fr…

cs.CV2018

Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition

Yitong Wang, Dihong Gong, Zheng Zhou +5

As facial appearance is subject to significant intra-class variations caused by the aging process over time, age-invariant face recognition (AIFR) remains a major challenge in face…

math.OC2018

An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method

Li Shen, Peng Sun, Yitong Wang +2

We propose a novel algorithmic framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-gradient (VMOR-HPE) method with a global convergence guarantee for the maximal monoto…

cs.CV201710 cited

Face R-CNN

Hao Wang, Zhifeng Li, Xing Ji +1

Faster R-CNN is one of the most representative and successful methods for object detection, and has been becoming increasingly popular in various objection detection applications.…