Search Results for author: Shidong Wang

Found 9 papers, 4 papers with code

Partition-A-Medical-Image: Extracting Multiple Representative Sub-regions for Few-shot Medical Image Segmentation

1 code implementation20 Sep 2023 Yazhou Zhu, Shidong Wang, Tong Xin, Zheng Zhang, Haofeng Zhang

In this work, we present an approach to extract multiple representative sub-regions from a given support medical image, enabling fine-grained selection over the generated image regions.

Image Segmentation Medical Image Segmentation +1

Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical Transformer

1 code implementation9 Sep 2023 Yazhou Zhu, Shidong Wang, Tong Xin, Haofeng Zhang

First, a subdivision strategy is introduced to produce a collection of regional prototypes from the foreground of the support prototype.

Few-Shot Learning Image Segmentation +3

Part-aware Prototypical Graph Network for One-shot Skeleton-based Action Recognition

no code implementations19 Aug 2022 Tailin Chen, Desen Zhou, Jian Wang, Shidong Wang, Qian He, Chuanyang Hu, Errui Ding, Yu Guan, Xuming He

In this paper, we study the problem of one-shot skeleton-based action recognition, which poses unique challenges in learning transferable representation from base classes to novel classes, particularly for fine-grained actions.

Action Recognition Meta-Learning +1

LSTA-Net: Long short-term Spatio-Temporal Aggregation Network for Skeleton-based Action Recognition

no code implementations1 Nov 2021 Tailin Chen, Shidong Wang, Desen Zhou, Yu Guan

We devise our model into a pure factorised architecture which can alternately perform spatial feature aggregation and temporal feature aggregation.

Action Recognition Skeleton Based Action Recognition

Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition

1 code implementation10 Aug 2021 Tailin Chen, Desen Zhou, Jian Wang, Shidong Wang, Yu Guan, Xuming He, Errui Ding

The task of skeleton-based action recognition remains a core challenge in human-centred scene understanding due to the multiple granularities and large variation in human motion.

Action Classification Action Recognition +2

Invariant Deep Compressible Covariance Pooling for Aerial Scene Categorization

no code implementations11 Nov 2020 Shidong Wang, Yi Ren, Gerard Parr, Yu Guan, Ling Shao

In this article, we propose a novel invariant deep compressible covariance pooling (IDCCP) to solve nuisance variations in aerial scene categorization.

Image Categorization

SOFA-Net: Second-Order and First-order Attention Network for Crowd Counting

no code implementations9 Aug 2020 Haoran Duan, Shidong Wang, Yu Guan

To obtain the appropriate crowd representation, in this work we proposed SOFA-Net(Second-Order and First-order Attention Network): second-order statistics were extracted to retain selectivity of the channel-wise spatial information for dense heads while first-order statistics, which can enhance the feature discrimination for the heads' areas, were used as complementary information.

Crowd Counting

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