no code implementations • 18 Oct 2023 • Weian Mao, Muzhi Zhu, Zheng Sun, Shuaike Shen, Lin Yuanbo Wu, Hao Chen, Chunhua Shen
Most prior encoders rely on atom-wise features, such as angles and distances between atoms, which are not available in this context.
1 code implementation • ICCV 2023 • Muzhi Zhu, Hengtao Li, Hao Chen, Chengxiang Fan, Weian Mao, Chenchen Jing, Yifan Liu, Chunhua Shen
In this work, we propose a novel training mechanism termed SegPrompt that uses category information to improve the model's class-agnostic segmentation ability for both known and unknown categories.
1 code implementation • ICCV 2023 • Kaining Ying, Qing Zhong, Weian Mao, Zhenhua Wang, Hao Chen, Lin Yuanbo Wu, Yifan Liu, Chengxiang Fan, Yunzhi Zhuge, Chunhua Shen
The discrimination of instance embeddings plays a vital role in associating instances across time for online video instance segmentation (VIS).
Ranked #2 on Video Instance Segmentation on Youtube-VIS 2022 Validation (using extra training data)
1 code implementation • 19 Jan 2022 • Weian Mao, Yongtao Ge, Chunhua Shen, Zhi Tian, Xinlong Wang, Zhibin Wang, Anton Van Den Hengel
We propose a direct, regression-based approach to 2D human pose estimation from single images.
Ranked #2 on Keypoint Detection on MS COCO
3 code implementations • CVPR 2021 • Weian Mao, Zhi Tian, Xinlong Wang, Chunhua Shen
We propose a fully convolutional multi-person pose estimation framework using dynamic instance-aware convolutions, termed FCPose.
no code implementations • 29 Mar 2021 • Weian Mao, Yongtao Ge, Chunhua Shen, Zhi Tian, Xinlong Wang, Zhibin Wang
We propose a human pose estimation framework that solves the task in the regression-based fashion.
Ranked #26 on Pose Estimation on MPII Human Pose