research
∙
03/23/2023
Box-Level Active Detection
Active learning selects informative samples for annotation within budget...
share
research
∙
12/15/2022
QueryPose: Sparse Multi-Person Pose Regression via Spatial-Aware Part-Level Query
We propose a sparse end-to-end multi-person pose regression framework, t...
research
∙
10/08/2022
AdaptivePose++: A Powerful Single-Stage Network for Multi-Person Pose Regression
Multi-person pose estimation generally follows top-down and bottom-up pa...
research
∙
09/09/2022
MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic Segmentation
Co-occurrent visual pattern makes context aggregation become an essentia...
research
∙
08/18/2022
Single-Stage Open-world Instance Segmentation with Cross-task Consistency Regularization
Open-world instance segmentation (OWIS) aims to segment class-agnostic i...
research
∙
07/16/2022
You Should Look at All Objects
Feature pyramid network (FPN) is one of the key components for object de...
research
∙
01/04/2022
Learning Quality-aware Representation for Multi-person Pose Regression
Off-the-shelf single-stage multi-person pose regression methods generall...
research
∙
12/27/2021
AdaptivePose: Human Parts as Adaptive Points
Multi-person pose estimation methods generally follow top-down and botto...
research
∙
12/01/2021
Trimap-guided Feature Mining and Fusion Network for Natural Image Matting
Utilizing trimap guidance and fusing multi-level features are two import...
research
∙
10/13/2021
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
Multi-object tracking (MOT) aims at estimating bounding boxes and identi...
research
∙
09/13/2021
Weakly Supervised Person Search with Region Siamese Networks
Supervised learning is dominant in person search, but it requires elabor...
research
∙
09/01/2021
Memory Based Video Scene Parsing
Video scene parsing is a long-standing challenging task in computer visi...
research
∙
08/26/2021
Mining Contextual Information Beyond Image for Semantic Segmentation
This paper studies the context aggregation problem in semantic image seg...
research
∙
05/06/2021
Body Meshes as Points
We consider the challenging multi-person 3D body mesh estimation task in...
research
∙
04/08/2021
Conditional Meta-Network for Blind Super-Resolution with Multiple Degradations
Although single-image super-resolution (SISR) methods have achieved grea...
research
∙
12/04/2020
F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation
Although deep learning based methods have achieved great progress in uns...
research
∙
04/13/2020
SPCNet:Spatial Preserve and Content-aware Network for Human Pose Estimation
Human pose estimation is a fundamental yet challenging task in computer ...
research
∙
09/30/2019
Towards Good Practices for Video Object Segmentation
Semi-supervised video object segmentation is an interesting yet challeng...
research
∙
05/14/2019
A Context-and-Spatial Aware Network for Multi-Person Pose Estimation
Multi-person pose estimation is a fundamental yet challenging task in co...
research
∙
05/09/2019
Multi-Person Pose Estimation with Enhanced Channel-wise and Spatial Information
Multi-person pose estimation is an important but challenging problem in ...
research
∙
10/24/2018