most citedDivide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning

29 citations · 43 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV202229 cited

Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning

Ziyi Zhang, Weikai Chen, Hui Cheng +4

We investigate a practical domain adaptation task, called source-free domain adaptation (SFUDA), where the source-pretrained model is adapted to the target domain without access to…

eess.IV20221 cited

Dual Adversarial Adaptation for Cross-Device Real-World Image Super-Resolution

Xiaoqian Xu, Pengxu Wei, Weikai Chen +3

Due to the sophisticated imaging process, an identical scene captured by different cameras could exhibit distinct imaging patterns, introducing distinct proficiency among the super…

cs.GR202113 cited

OctField: Hierarchical Implicit Functions for 3D Modeling

Jia-Heng Tang, Weikai Chen, Jie Yang +4

Recent advances in localized implicit functions have enabled neural implicit representation to be scalable to large scenes. However, the regular subdivision of 3D space employed by…

cs.CV2021

Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning

Junkai Huang, Chaowei Fang, Weikai Chen +5

Open-set semi-supervised learning (open-set SSL) investigates a challenging but practical scenario where out-of-distribution (OOD) samples are contained in the unlabeled data. Whil…

cs.CV2021

Equivariant Point Network for 3D Point Cloud Analysis

Haiwei Chen, Shichen Liu, Weikai Chen +1

Features that are equivariant to a larger group of symmetries have been shown to be more discriminative and powerful in recent studies. However, higher-order equivariant features o…