Search Results for author: Pingyi Chen

Found 8 papers, 2 papers with code

Advancing Human Action Recognition with Foundation Models trained on Unlabeled Public Videos

no code implementations14 Feb 2024 Yang Qian, Yinan Sun, Ali Kargarandehkordi, Onur Cezmi Mutlu, Saimourya Surabhi, Pingyi Chen, Zain Jabbar, Dennis Paul Wall, Peter Washington

We find that the performance of the model pre-trained using our Tik-Tok dataset is comparable to models trained on larger action recognition datasets (95. 3% on UCF101 and 53. 24% on HMDB51).

Action Recognition Temporal Action Localization

Benchmarking PathCLIP for Pathology Image Analysis

no code implementations5 Jan 2024 Sunyi Zheng, Xiaonan Cui, Yuxuan Sun, Jingxiong Li, Honglin Li, Yunlong Zhang, Pingyi Chen, Xueping Jing, Zhaoxiang Ye, Lin Yang

Additionally, we assess the robustness of PathCLIP in the task of image-image retrieval, revealing that PathCLIP performs less effectively than PLIP on Osteosarcoma but performs better on WSSS4LUAD under diverse corruptions.

Benchmarking Decision Making +4

DPA-P2PNet: Deformable Proposal-aware P2PNet for Accurate Point-based Cell Detection

no code implementations5 Mar 2023 Zhongyi Shui, Sunyi Zheng, Chenglu Zhu, Shichuan Zhang, Xiaoxuan Yu, Honglin Li, Jingxiong Li, Pingyi Chen, Lin Yang

Unlike mainstream PCD methods that rely on intermediate density map representations, the Point-to-Point network (P2PNet) has recently emerged as an end-to-end solution for PCD, demonstrating impressive cell detection accuracy and efficiency.

Cell Detection

Unsupervised Dense Nuclei Detection and Segmentation with Prior Self-activation Map For Histology Images

no code implementations14 Oct 2022 Pingyi Chen, Chenglu Zhu, Zhongyi Shui, Jiatong Cai, Sunyi Zheng, Shichuan Zhang, Lin Yang

To this end, we propose a self-supervised learning based approach with a Prior Self-activation Module (PSM) that generates self-activation maps from the input images to avoid labeling costs and further produce pseudo masks for the downstream task.

Image Segmentation Medical Image Segmentation +3

ChrSNet: Chromosome Straightening using Self-attention Guided Networks

no code implementations1 Jul 2022 Sunyi Zheng, Jingxiong Li, Zhongyi Shui, Chenglu Zhu, Yunlong Zhang, Pingyi Chen, Lin Yang

Karyotyping is an important procedure to assess the possible existence of chromosomal abnormalities.

End-to-end cell recognition by point annotation

no code implementations1 Jul 2022 Zhongyi Shui, Shichuan Zhang, Chenglu Zhu, BingChuan Wang, Pingyi Chen, Sunyi Zheng, Lin Yang

Reliable quantitative analysis of immunohistochemical staining images requires accurate and robust cell detection and classification.

Cell Detection Multi-Task Learning

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