Recent advances of monocular 2d and 3d human pose estimation: A deep learning perspective
Estimation of the human pose from a monocular camera has been an emerging research
topic in the computer vision community with many applications. Recently, benefiting from the …
topic in the computer vision community with many applications. Recently, benefiting from the …
Fashion meets computer vision: A survey
Fashion is the way we present ourselves to the world and has become one of the world's
largest industries. Fashion, mainly conveyed by vision, has thus attracted much attention …
largest industries. Fashion, mainly conveyed by vision, has thus attracted much attention …
[PDF][PDF] 图像理解中的卷积神经网络
常亮, 邓小明, 周明全, 武仲科, 袁野, 杨硕, 王宏安 - 自动化学报, 2016 - faculty.csu.edu.cn
摘要近年来, 卷积神经网络(Convolutional neural networks, CNN) 已在图像理解领域得到了
广泛的应用, 引起了研究者的关注. 特别是随着大规模图像数据的产生以及计算机硬件(特别是 …
广泛的应用, 引起了研究者的关注. 特别是随着大规模图像数据的产生以及计算机硬件(特别是 …
Rmpe: Regional multi-person pose estimation
Multi-person pose estimation in the wild is challenging. Although state-of-the-art human
detectors have demonstrated good performance, small errors in localization and recognition …
detectors have demonstrated good performance, small errors in localization and recognition …
Attention-aware compositional network for person re-identification
Person re-identification (ReID) is to identify pedestrians observed from different camera
views based on visual appearance. It is a challenging task due to large pose variations …
views based on visual appearance. It is a challenging task due to large pose variations …
Look into person: Joint body parsing & pose estimation network and a new benchmark
Human parsing and pose estimation have recently received considerable interest due to
their substantial application potentials. However, the existing datasets have limited numbers …
their substantial application potentials. However, the existing datasets have limited numbers …
Look into person: Self-supervised structure-sensitive learning and a new benchmark for human parsing
Human parsing has recently attracted a lot of research interests due to its huge application
potentials. However existing datasets have limited number of images and annotations, and …
potentials. However existing datasets have limited number of images and annotations, and …
Beyond human parts: Dual part-aligned representations for person re-identification
Person re-identification is a challenging task due to various complex factors. Recent studies
have attempted to integrate human parsing results or externally defined attributes to help …
have attempted to integrate human parsing results or externally defined attributes to help …
Cross-domain image retrieval with a dual attribute-aware ranking network
We address the problem of cross-domain image retrieval, considering the following practical
application: given a user photo depicting a clothing image, our goal is to retrieve the same or …
application: given a user photo depicting a clothing image, our goal is to retrieve the same or …
Space-time representation of people based on 3D skeletal data: A review
Spatiotemporal human representation based on 3D visual perception data is a rapidly
growing research area. Representations can be broadly categorized into two groups …
growing research area. Representations can be broadly categorized into two groups …