108 citations · 150 across the 19 of their papers we have counts for
6 papers · 1 filter
QueryPose: Sparse Multi-Person Pose Regression via Spatial-Aware Part-Level Query
Yabo Xiao, Kai Su, Xiaojuan Wang +4
We propose a sparse end-to-end multi-person pose regression framework, termed QueryPose, which can directly predict multi-person keypoint sequences from the input image. The existi…
AdaptivePose++: A Powerful Single-Stage Network for Multi-Person Pose Regression
Yabo Xiao, Xiaojuan Wang, Dongdong Yu +5
Multi-person pose estimation generally follows top-down and bottom-up paradigms. Both of them use an extra stage ( human detection in top-down paradigm or group…
MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic Segmentation
Zhenchao Jin, Dongdong Yu, Zehuan Yuan +1
Co-occurrent visual pattern makes context aggregation become an essential paradigm for semantic segmentation.The existing studies focus on modeling the contexts within image while…
Single-Stage Open-world Instance Segmentation with Cross-task Consistency Regularization
Xizhe Xue, Dongdong Yu, Lingqiao Liu +6
Open-World Instance Segmentation (OWIS) is an emerging research topic that aims to segment class-agnostic object instances from images. The mainstream approaches use a two-stage se…
You Should Look at All Objects
Zhenchao Jin, Dongdong Yu, Luchuan Song +2
Feature pyramid network (FPN) is one of the key components for object detectors. However, there is a long-standing puzzle for researchers that the detection performance of large-sc…
Learning Quality-aware Representation for Multi-person Pose Regression
Yabo Xiao, Dongdong Yu, Xiaojuan Wang +3
Off-the-shelf single-stage multi-person pose regression methods generally leverage the instance score (i.e., confidence of the instance localization) to indicate the pose quality f…