關於 learning local-global contextual adaptation for multi person pose estimation ，我們在網路上蒐集到這些相關的討論、資訊與評價

#11. Researches Advanced in Human Pose Estimation Based on ...

... Vision and Pattern Recognition (New Orleans, Louisiana, USA) Learning Local-Global Contextual Adaptation for Multi-Person Pose Estimation 13065-13074.

#12. [PDF] Simple Pose: Rethinking and Improving a Bottom-up ...

This paper proposes a multi-person pose estimation approach, dubbed as LOGO-CAP, by learning the LOcal-GlObal Contextual Adaptation for human Pose, ...

#13. 姿态估计、三维视觉、动作检测、语义分割等方向-极市开发者 ...

[3] Learning Local-Global Contextual Adaptation for Multi-Person Pose Estimation(学习用于多人姿势估计的局部-全局上下文适应)

#14. Visual Focus of Attention and Spontaneous Smile Recognition ...

Multi -person Visual focus of attention (M-VFOA) and spontaneous smile (SS) ... Based on Continuous Head Pose Estimation by Cascaded Multi-Task Learning.

#15. An Improved High-Resolution Network-Based Method ... - MDPI

Two dimensional (2D) human pose estimation has been a hotspot of ... L. Learning Local-Global Contextual Adaptation for Multi-Person Pose ...

#16. Jean-Marc Odobez - Publications - IDIAP Research Institute

Year 2020. Journal publications. Efficient Convolutional Neural Networks for Depth-Based Multi-Person Pose Estimation A. Martinez, M. Villamizar, ...

#17. Tags - 郑之杰的个人网站

... All Tokens Matter: Token Labeling for Training Better Vision Transformers ... Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from ...

#18. Learning Local-Global Contextual Adaptation for Fully End-to ...

This paper presents a method of learning Local-GlObal Contextual Adaptation for fully end-to-end and fast bottom-up human Pose estimation, ...

#19. 中心团队十一篇论文被顶级会议CVPR 2022和ICLR 2022录用

图2 算法的定性结果对比. 8、论文题目：Learning Local-Global Contextual Adaptation for Multi-Person Pose Estimation. 论文作者：Nan Xue, ...

#20. An improved lightweight high-resolution network based on ...

Human pose estimation is one of the key technologies in action ... we propose global context modeling, which can learn multi-channel and ...

#21. MDPose: Real-Time Multi-Person Pose Estimation via Mixture ...

Multi -person pose estimation is a classical computer vision ... Learning local-global contextual adaptation for multi- person pose estimation.

#22. Attention Based High Resolution Network for Human pose ...

Learning Local-Global Contextual Adaptation for Multi-Person Pose Estimation. Nan Xue, Tianfu Wu, Gui-Song Xia, L. Zhang.

#23. Multi-Scale Structure-Aware Network for Human Pose ...

scale supervision to strengthen contextual feature learning in matching ... We focus on the problem of single-person pose estimation from a single RGB.

#24. Peeking into occluded joints: A novel framework for crowd ...

corporate these clues for multi-person pose estimation. ... the features first: since the finer image feature has lost more global contextual.

#25. Unsupervised domain adaptation for clinician pose estimation ...

While person pose estimation and instance segmentation ... the two domains effectively disentangle the feature learning and stabilizes the training.

#26. A Structure-Aware Adversarial Framework with the Keypoint ...

Human pose estimation is aimed at locating the anatomical parts or ... with the Keypoint Biorientation Field for Multiperson Pose Estimation.

#27. Tianfu (Matt) Wu (@VisEyeOn) / Twitter

We released the code for our CVPR22 paper, "Learning Local-Global Contextual Adaptation for Multi-Person Pose Estimation".

#28. Deep Learning-Based Human Pose Estimation: A Survey

a trade-of between local and global representations in the features. Estimating poses under occlusion and truncation scenes often occurs in multi-person ...

#29. Structured Context Enhancement Network for Mouse Pose ...

mouse body to describe the global contextual information by concatenating multi-level feature ... Many traditional methods for single-person pose estimation.

#30. EfficientPose: Scalable single-person pose estimation

Still, state-of-the-art models for human pose estimation generally do not meet the requirements of real-life applications. The proliferation of deep learning ...

#31. Human Body Pose Tracking Based on Spatio-Temporal Joints ...

Human pose estimation consists on the localization of the body joints from ... we describe the adaptation of the mean-field algorithm used in Multi-Context.

#32. EfficientPose: Scalable single-person pose estimation - OA.mg

EfficientPose is a family of models harnessing an effective multi-scale feature extractor and computationally efficient detection blocks using mobile inverted ...

#33. ‪Nan Xue‬ - ‪Google Scholar‬

Learning Local-Global Contextual Adaptation for Multi-Person Pose Estimation. N Xue, T Wu, GS Xia, L Zhang. IEEE Conference on Computer Vision and Pattern ...

#34. The Complete Guide to Human Pose Estimation for Computer ...

OpenPose is a popular bottom-up machine learning model for real-time multi-person tracking, estimation, and annotation. It's an open-source ...

#35. EfficientPose: Scalable single-person pose estimation

The remainder of this paper is organized as follows: Section 2 describes the architecture of OpenPose and highlights research which it can be improved from.

#36. Overview of 3D Human Pose Estimation - Tech Science Press

The swoop network in reference [71] uses multi-person pose estimation, ... because each local pose may have been learned from the training data even if the ...

#37. 小胖纸/awesome-human-pose-estimation - Gitee

Feedback and contributions are welcome! Table of Contents. Basics; Papers. 2D Pose estimation; 3D Pose estimation; Geometry; Group of people; Person generation ...

#38. EfficientPose: Scalable single-person pose estimation

Single-person human pose estimation facilitates markerless movement analysis in ... OpenPose was originally developed for multi-person HPE, ...

#39. Nan Xue

Learning Local-Global Contextual Adaptation for Multi-Person Pose Estimation. Nan Xue, Tianfu Wu, Gui-Song Xia, Liangpei Zhang.

#40. SLEAP: Multi-animal pose tracking - bioRxiv

Early work on animal pose estimation extended deep learning ... are that it fails to capture global contextual information present in the ...

#41. Lab. Seminars - RVLab @ CBNU

Date Person Title 2022.11.01 Soohyun Decoupled Knowledge Distillation (CVPR'22) 2022.07.20 Eunho Simple Baseline for Image Restoration (ECCV'22) 2022.05.31 Eunho Transformer in vision tasks.

#42. CVPR 2022 Workshop "Image Matching - YouTube

The Fourth Workshop on Image Matching: Local Features and Beyond held ... Neural Codes for Improved Camera Pose Estimation 2 :12:21 Feature ...

#43. Permutation-Invariant Relational Network for Multi-person 3D ...

Human context: Modeling human-human interactions for monocular. 3d pose estimation. In International Conference on Articulated Motion and ...

#44. Main Track - IJCAI 2023

StockFormer: Learning Hybrid Trading Machines with Predictive Coding ... Semi-supervised Domain Adaptation via Prototype-based Multi-level Learning.

#45. Paper Digest: CVPR 2022 Highlights

Highlight: In this paper, we present a novel Distribution-Aware Single-stage (DAS) model for tackling the challenging multi-person 3D pose ...

#46. A Survey of Human Action Recognition and Posture Prediction

This dataset is mostly used in single-person or multi-person human action ... Unlike global feature representation, local feature ...

#47. Feature context learning for human parsing

and pose estimation simultaneously in a multi-task learning manner. ... proposed a non-local operation to capture global long-range ...

#48. Robust Pose Estimation in Crowded Scenes with Direct Pose ...

Multi -Person Pose Estimation (MPPE) performs both detection and pose keypoint ... infer the global pose, including both visible and invisible keypoints.

#49. Multi-Scale Structure-Aware Network for ... - University at Albany

the problem of single-person pose estimation from a single ... local contextual features of the body keypoints. In addition,.