activity
20182022
most citediQIYI-VID: A Large Dataset for Multi-modal Person Identification

25 citations · 30 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022

Migrating Face Swap to Mobile Devices: A lightweight Framework and A Supervised Training Solution

Haiming Yu, Hao Zhu, Xiangju Lu +1

Existing face swap methods rely heavily on large-scale networks for adequate capacity to generate visually plausible results, which inhibits its applications on resource-constraint…

cs.CV2022★ 1 cited

Detailed Facial Geometry Recovery from Multi-View Images by Learning an Implicit Function

Yunze Xiao, Hao Zhu, Haotian Yang +3

Recovering detailed facial geometry from a set of calibrated multi-view images is valuable for its wide range of applications. Traditional multi-view stereo (MVS) methods adopt an…

cs.CV2019

Unknown Identity Rejection Loss: Utilizing Unlabeled Data for Face Recognition

Haiming Yu, Yin Fan, Keyu Chen +4

Face recognition has advanced considerably with the availability of large-scale labeled datasets. However, how to further improve the performance with the easily accessible unlabel…

cs.CV2019★ 4 cited

Cartoon Face Recognition: A Benchmark Dataset

Yi Zheng, Yifan Zhao, Mengyuan Ren +4

Recent years have witnessed increasing attention in cartoon media, powered by the strong demands of industrial applications. As the first step to understand this media, cartoon fac…

cs.CV2018★ 25 cited

iQIYI-VID: A Large Dataset for Multi-modal Person Identification

Yuanliu Liu, Bo Peng, Peipei Shi +12

Person identification in the wild is very challenging due to great variation in poses, face quality, clothes, makeup and so on. Traditional research, such as face recognition, pers…