Multi‐person pose estimation using atrous convolution
Sign Up to like & getrecommendations! Published in 2019 at "Electronics Letters"
DOI: 10.1049/el.2019.0351
Abstract: The technology of human keypoint localisation has been greatly improved with the development of deep neural network. In particular, recent methods that exploit multi-scale features and cascaded networks have achieved the accurate prediction of multi-person… read more here.
Keywords: using atrous; multi person; atrous convolution; keypoint ... See more keywords
Multi-Person Pose Estimation With Accurate Heatmap Regression and Greedy Association
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3153044
Abstract: Multi-person pose estimation aims at localizing the 2D keypoints (or body joints) for all the people in the image. There are mainly two paradigms to perform this task: top-down and bottom-up. In this paper, we… read more here.
Keywords: heatmap regression; multi person; keypoint; heatmap ... See more keywords
SIFT Keypoint Removal via Directed Graph Construction for Color Images
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2017.2730362
Abstract: As one of the most successful feature extraction algorithms, scale invariant feature transform (SIFT) has been widely employed in many applications. Recently, the security of SIFT against malicious attack has been attracting increasing attention, and… read more here.
Keywords: color; keypoint; sift; keypoint removal ... See more keywords
Perspectively Equivariant Keypoint Learning for Omnidirectional Images
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2023.3270032
Abstract: Robust keypoint detection on omnidirectional images against large perspective variations, is a key problem in many computer vision tasks. In this paper, we propose a perspectively equivariant keypoint learning framework named OmniKL for addressing this… read more here.
Keywords: perspectively equivariant; equivariant keypoint; keypoint; omnidirectional images ... See more keywords
JOKR: Joint Keypoint Representation for Unsupervised Video Retargeting
Sign Up to like & getrecommendations! Published in 2022 at "Computer Graphics Forum"
DOI: 10.1111/cgf.14616
Abstract: In unsupervised video retargeting, content is transferred from one video to another while preserving the original appearance and style, without any additional annotations. While this challenge has seen substantial advancements through the use of deep… read more here.
Keywords: geometry; keypoint; unsupervised video; video retargeting ... See more keywords
Finding Nemo’s Giant Cousin: Keypoint Matching for Robust Re-Identification of Giant Sunfish
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Marine Science and Engineering"
DOI: 10.3390/jmse11050889
Abstract: The Giant Sunfish (Mola alexandrini) has unique patterns on its body, which allow for individual identification. By continuously gathering and matching images, it is possible to monitor and track individuals across location and time. However,… read more here.
Keywords: giant sunfish; identification; finding nemo; keypoint ... See more keywords
Modelling Sign Language with Encoder-Only Transformers and Human Pose Estimation Keypoint Data
Sign Up to like & getrecommendations! Published in 2023 at "Mathematics"
DOI: 10.3390/math11092129
Abstract: We present a study on modelling American Sign Language (ASL) with encoder-only transformers and human pose estimation keypoint data. Using an enhanced version of the publicly available Word-level ASL (WLASL) dataset, and a novel normalisation… read more here.
Keywords: pose estimation; human pose; keypoint; sign language ... See more keywords