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  1. No Access

    Chapter and Conference Paper

    Renovating Parsing R-CNN for Accurate Multiple Human Parsing

    Multiple human parsing aims to segment various human parts and associate each part with the corresponding instance simultaneously. This is a very challenging task due to the diverse human appearance, semantic ...

    Lu Yang, Qing Song, Zhihui Wang, Mengjie Hu, Chun Liu… in Computer Vision – ECCV 2020 (2020)

  2. Article

    Open Access

    Broadband terahertz wave generation from an epsilon-near-zero material

    Broadband light sources emitting in the terahertz spectral range are highly desired for applications such as noninvasive imaging and spectroscopy. Conventionally, THz pulses are generated by optical rectificat...

    Wenhe Jia, Meng Liu, Yongchang Lu, ** Feng, Qingwei Wang… in Light: Science & Applications (2021)

    Download PDF (1507 KB) View Article

  3. No Access

    Article

    UV R-CNN: Stable and efficient dense human pose estimation

    As a dense prediction task aimed at instance-level human analysis, dense-pose estimation seeks to accurately map 2D pixels onto the 3D surface of the human body. Despite significant progress has been made, two...

    Wenhe Jia, Xuhan Zhu, Yilin Zhou, Mengjie Hu, Chun Liu… in Multimedia Tools and Applications (2024)

  4. No Access

    Article

    Deep Learning Technique for Human Parsing: A Survey and Outlook

    Human parsing aims to partition humans in image or video into multiple pixel-level semantic parts. In the last decade, it has gained significantly increased interest in the computer vision community and has be...

    Lu Yang, Wenhe Jia, Shan Li, Qing Song in International Journal of Computer Vision (2024)