no code implementations • 5 Jan 2023 • Fei He, Haoyang Zhang, Naiyu Gao, Jian Jia, Yanhu Shan, Xin Zhao, Kaiqi Huang
When using such a pair to predict an object instance on the current frame, not only the generated instance is automatically associated with its precursors on previous frames, but the model gets a good prior for predicting the same object.
1 code implementation • CVPR 2022 • Naiyu Gao, Fei He, Jian Jia, Yanhu Shan, Haoyang Zhang, Xin Zhao, Kaiqi Huang
To overcome these limitations, we propose a unified framework for the DPS task by applying a dynamic convolution technique to both the PS and depth prediction tasks.
no code implementations • 28 Sep 2020 • Naiyu Gao, Yanhu Shan, Xin Zhao, Kaiqi Huang
Panoptic segmentation (PS) is a complex scene understanding task that requires providing high-quality segmentation for both thing objects and stuff regions.
2 code implementations • ICCV 2019 • Naiyu Gao, Yanhu Shan, Yupei Wang, Xin Zhao, Yinan Yu, Ming Yang, Kaiqi Huang
Moreover, incorporating with the learned affinity pyramid, a novel cascaded graph partition module is presented to sequentially generate instances from coarse to fine.
2 code implementations • CVPR 2019 • Jianzhong He, Shiliang Zhang, Ming Yang, Yanhu Shan, Tiejun Huang
Exploiting multi-scale representations is critical to improve edge detection for objects at different scales.
Ranked #2 on Edge Detection on BRIND