Results 11 to 20 of about 3,422,515 (359)
OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 Realtime multi-person 2D pose estimation is a key component in enabling machines to have an understanding of people in images and videos. In this work, we present a realtime approach to detect the 2D pose of multiple people in an image.
Zhe Cao +4 more
semanticscholar +1 more source
Deep Learning for Person Re-Identification: A Survey and Outlook [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 Person re-identification (Re-ID) aims at retrieving a person of interest across multiple non-overlapping cameras. With the advancement of deep neural networks and increasing demand of intelligent video surveillance, it has gained significantly increased ...
Mang Ye +5 more
semanticscholar +1 more source
Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields [PDF]
Computer Vision and Pattern Recognition, 2016 We present an approach to efficiently detect the 2D pose of multiple people in an image. The approach uses a nonparametric representation, which we refer to as Part Affinity Fields (PAFs), to learn to associate body parts with individuals in the image ...
Zhe Cao, T. Simon, S. Wei, Yaser Sheikh
semanticscholar +1 more source
Diverse Part Discovery: Occluded Person Re-identification with Part-Aware Transformer [PDF]
Computer Vision and Pattern Recognition, 2021 Occluded person re-identification (Re-ID) is a challenging task as persons are frequently occluded by various obstacles or other persons, especially in the crowd scenario. To address these issues, we propose a novel end-to-end Part-Aware Transformer (PAT)
Yulin Li +5 more
semanticscholar +1 more source
Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro [PDF]
IEEE International Conference on Computer Vision, 2017 The main contribution of this paper is a simple semisupervised pipeline that only uses the original training set without collecting extra data. It is challenging in 1) how to obtain more training data only from the training set and 2) how to use the ...
Zhedong Zheng, Liang Zheng, Yi Yang
semanticscholar +1 more source
Person Transfer GAN to Bridge Domain Gap for Person Re-identification [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017 Although the performance of person Re-Identification (ReID) has been significantly boosted, many challenging issues in real scenarios have not been fully investigated, e.g., the complex scenes and lighting variations, viewpoint and pose changes, and the ...
Longhui Wei +3 more
semanticscholar +1 more source
Bag of Tricks and a Strong Baseline for Deep Person Re-Identification [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019 This paper explores a simple and efficient baseline for person re-identification (ReID). Person re-identification (ReID) with deep neural networks has made progress and achieved high performance in recent years.
Hao Luo +4 more
semanticscholar +1 more source
Learning Discriminative Features with Multiple Granularities for Person Re-Identification [PDF]
ACM Multimedia, 2018 The combination of global and partial features has been an essential solution to improve discriminative performances in person re-identification (Re-ID) tasks.
Guanshuo Wang +4 more
semanticscholar +1 more source
Cascaded Pyramid Network for Multi-person Pose Estimation [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017 The topic of multi-person pose estimation has been largely improved recently, especially with the development of convolutional neural network. However, there still exist a lot of challenging cases, such as occluded keypoints, invisible keypoints and ...
Yilun Chen +5 more
semanticscholar +1 more source
Minimal important differences for fatigue patient reported outcome measures—a systematic review
BMC Medical Research Methodology, 2016 Background Fatigue is the most frequent symptom reported by patients with chronic illnesses. As a subjective experience, fatigue is commonly assessed with patient-reported outcome measures (PROMs).
Åsa Nordin +3 more
doaj +1 more source