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Yunchao Wei
Researcher at University of Technology, Sydney
Publications - 203
Citations - 15726
Yunchao Wei is an academic researcher from University of Technology, Sydney. The author has contributed to research in topics: Segmentation & Computer science. The author has an hindex of 46, co-authored 172 publications receiving 8991 citations. Previous affiliations of Yunchao Wei include Southern University of Science and Technology & Huazhong University of Science and Technology.
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Proceedings ArticleDOI
CCNet: Criss-Cross Attention for Semantic Segmentation
TL;DR: CCNet as mentioned in this paper proposes a recurrent criss-cross attention module to harvest the contextual information of all the pixels on its crisscross path, and then takes a further recurrent operation to finally capture the full-image dependencies from all pixels.
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CCNet: Criss-Cross Attention for Semantic Segmentation
TL;DR: This work proposes a Criss-Cross Network (CCNet) for obtaining contextual information in a more effective and efficient way and achieves the mIoU score of 81.4 and 45.22 on Cityscapes test set and ADE20K validation set, respectively, which are the new state-of-the-art results.
Journal ArticleDOI
HCP: A Flexible CNN Framework for Multi-Label Image Classification
TL;DR: Experimental results on Pascal VOC 2007 and VOC 2012 multi-label image datasets well demonstrate the superiority of the proposed HCP infrastructure over other state-of-the-arts, where an arbitrary number of object segment hypotheses are taken as the inputs.
Proceedings ArticleDOI
Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach
TL;DR: This work investigates a principle way to progressively mine discriminative object regions using classification networks to address the weakly-supervised semantic segmentation problems and proposes a new adversarial erasing approach for localizing and expanding object regions progressively.
Journal ArticleDOI
STC: A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation
Yunchao Wei,Xiaodan Liang,Yunpeng Chen,Xiaohui Shen,Ming-Ming Cheng,Jiashi Feng,Yao Zhao,Shuicheng Yan +7 more
TL;DR: A simple to complex (STC) framework in which only image-level annotations are utilized to learn DCNNs for semantic segmentation, which demonstrates the superiority of the proposed STC framework compared with other state-of-the-arts frameworks.