activity
20182022
most citedDelving into Deep Imbalanced Regression

123 citations · 159 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2022★ 1 cited

Out-of-domain GAN inversion via Invertibility Decomposition for Photo-Realistic Human Face Manipulation

Xin Yang, Xiaogang Xu, Yingcong Chen

The fidelity of Generative Adversarial Networks (GAN) inversion is impeded by Out-Of-Domain (OOD) areas (e.g., background, accessories) in the image. Detecting the OOD areas beyond…

cs.CV2022★ 8 cited

Adaptive Domain Generalization via Online Disagreement Minimization

Xin Zhang, Ying-Cong Chen

Deep neural networks suffer from significant performance deterioration when there exists distribution shift between deployment and training. Domain Generalization (DG) aims to safe…

cs.CV2022★ 1 cited

DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation

Xin Lai, Zhuotao Tian, Xiaogang Xu +5

Unsupervised domain adaptation in semantic segmentation has been raised to alleviate the reliance on expensive pixel-wise annotations. It leverages a labeled source domain dataset…

cs.CV2022★ 3 cited

Representation Compensation Networks for Continual Semantic Segmentation

Chang-Bin Zhang, Jia-Wen Xiao, Xialei Liu +2

In this work, we study the continual semantic segmentation problem, where the deep neural networks are required to incorporate new classes continually without catastrophic forgetti…

cs.CV2021★ 1 cited

Image Synthesis via Semantic Composition

Yi Wang, Lu Qi, Ying-Cong Chen +2

In this paper, we present a novel approach to synthesize realistic images based on their semantic layouts. It hypothesizes that for objects with similar appearance, they share simi…

cs.LG2021★ 123 cited

Delving into Deep Imbalanced Regression

Yuzhe Yang, Kaiwen Zha, Ying-Cong Chen +2

Real-world data often exhibit imbalanced distributions, where certain target values have significantly fewer observations. Existing techniques for dealing with imbalanced data focu…

cs.CV2020★ 5 cited

Attentive Normalization for Conditional Image Generation

Yi Wang, Ying-Cong Chen, Xiangyu Zhang +2

Traditional convolution-based generative adversarial networks synthesize images based on hierarchical local operations, where long-range dependency relation is implicitly modeled w…

cs.CV2020★ 3 cited

VCNet: A Robust Approach to Blind Image Inpainting

Yi Wang, Ying-Cong Chen, Xin Tao +1

Blind inpainting is a task to automatically complete visual contents without specifying masks for missing areas in an image. Previous works assume missing region patterns are known…

cs.CV2018★ 14 cited

Facelet-Bank for Fast Portrait Manipulation

Ying-Cong Chen, Huaijia Lin, Michelle Shu +5

Digital face manipulation has become a popular and fascinating way to touch images with the prevalence of smartphones and social networks. With a wide variety of user preferences,…