342 citations · 1.7k across the 89 of their papers we have counts for
21 papers · 1 filter
COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography
Heyi Li, Dongdong Chen, William H. Nailon +2
Computer-aided breast cancer diagnosis in mammography is a challenging problem, stemming from mammographical data scarcity and data entanglement. In particular, data scarcity is at…
Are Fewer Labels Possible for Few-shot Learning?
Suichan Li, Dongdong Chen, Yinpeng Chen +4
Few-shot learning is challenging due to its very limited data and labels. Recent studies in big transfer (BiT) show that few-shot learning can greatly benefit from pretraining on l…
Identity-Driven DeepFake Detection
Xiaoyi Dong, Jianmin Bao, Dongdong Chen +5
DeepFake detection has so far been dominated by ``artifact-driven'' methods and the detection performance significantly degrades when either the type of image artifacts is unknown…
Improved Image Matting via Real-time User Clicks and Uncertainty Estimation
Tianyi Wei, Dongdong Chen, Wenbo Zhou +4
Image matting is a fundamental and challenging problem in computer vision and graphics. Most existing matting methods leverage a user-supplied trimap as an auxiliary input to produ…
Efficient Semantic Image Synthesis via Class-Adaptive Normalization
Zhentao Tan, Dongdong Chen, Qi Chu +6
Spatially-adaptive normalization (SPADE) is remarkably successful recently in conditional semantic image synthesis \cite{park2019semantic}, which modulates the normalized activatio…
Unsupervised Pre-training for Person Re-identification
Dengpan Fu, Dongdong Chen, Jianmin Bao +5
In this paper, we present a large scale unlabeled person re-identification (Re-ID) dataset "LUPerson" and make the first attempt of performing unsupervised pre-training for improvi…