activity
20182026
most citedUnsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice

103 citations · 316 across the 27 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CV2022★ 33 cited

TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition

Yongwei Chen, Rui Chen, Jiabao Lei +2

Creation of 3D content by stylization is a promising yet challenging problem in computer vision and graphics research. In this work, we focus on stylizing photorealistic appearance…

cs.CV2022★ 8 cited

Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning

Yabin Zhang, Jiehong Lin, Ruihuang Li +2

Masked autoencoder has demonstrated its effectiveness in self-supervised point cloud learning. Considering that masking is a kind of corruption, in this work we explore a more gene…

cs.CV2022★ 9 cited

Masked Surfel Prediction for Self-Supervised Point Cloud Learning

Yabin Zhang, Jiehong Lin, Chenhang He +3

Masked auto-encoding is a popular and effective self-supervised learning approach to point cloud learning. However, most of the existing methods reconstruct only the masked points…

cs.CV2022★ 16 cited

Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization

Yabin Zhang, Minghan Li, Ruihuang Li +2

Arbitrary style transfer (AST) and domain generalization (DG) are important yet challenging visual learning tasks, which can be cast as a feature distribution matching problem. Wit…

cs.CV2022★ 1 cited

Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation

Ruihuang Li, Shuai Li, Chenhang He +3

Domain adaptive semantic segmentation aims to learn a model with the supervision of source domain data, and produce satisfactory dense predictions on unlabeled target domain. One p…