2 citations · 2 across the 4 of their papers we have counts for
4 papers
Eliminating Gradient Conflict in Reference-based Line-Art Colorization
Zekun Li, Zhengyang Geng, Zhao Kang +2
Reference-based line-art colorization is a challenging task in computer vision. The color, texture, and shading are rendered based on an abstract sketch, which heavily relies on th…
SDTP: Semantic-aware Decoupled Transformer Pyramid for Dense Image Prediction
Zekun Li, Yufan Liu, Bing Li +3
Although transformer has achieved great progress on computer vision tasks, the scale variation in dense image prediction is still the key challenge. Few effective multi-scale techn…
PoP-Net: Pose over Parts Network for Multi-Person 3D Pose Estimation from a Depth Image
Yuliang Guo, Zhong Li, Zekun Li +3
In this paper, a real-time method called PoP-Net is proposed to predict multi-person 3D poses from a depth image. PoP-Net learns to predict bottom-up part representations and top-d…
DSIC: Dynamic Sample-Individualized Connector for Multi-Scale Object Detection
Zekun Li, Yufan Liu, Bing Li +1
Although object detection has reached a milestone thanks to the great success of deep learning, the scale variation is still the key challenge. Integrating multi-level features is…