Adaptive-order proximity learning for graph-based clustering
Recently, structured proximity matrix learning, which aims to learn a structured proximity
matrix with explicit clustering structures from the first-order proximity matrix, has become the …
matrix with explicit clustering structures from the first-order proximity matrix, has become the …
3D hand pose and shape estimation from RGB images for keypoint-based hand gesture recognition
Estimating the 3D pose of a hand from a 2D image is a well-studied problem and a
requirement for several real-life applications such as virtual reality, augmented reality, and …
requirement for several real-life applications such as virtual reality, augmented reality, and …
DFR-ST: Discriminative feature representation with spatio-temporal cues for vehicle re-identification
Vehicle re-identification (re-ID) aims to discover and match the target vehicles from a gallery
image set taken by different cameras on a wide range of road networks. It is crucial for lots of …
image set taken by different cameras on a wide range of road networks. It is crucial for lots of …
Person re-identification: A taxonomic survey and the path ahead
Person re-identification (PRId) is one of the most challenging tasks in automated video
surveillance and has been an area of intense research spanning the past decade. PRId …
surveillance and has been an area of intense research spanning the past decade. PRId …
Multi-level progressive learning for unsupervised vehicle re-identification
Z He, H Zhao, J Wang, W Feng - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Vehicle re-identification (ReID) technology has played a more and more important role in
Intelligent Transport System (ITS), which aims at searching the same query vehicle identity …
Intelligent Transport System (ITS), which aims at searching the same query vehicle identity …
Reasoning for complex data through ensemble-based self-supervised learning
Self-supervised learning deals with problems that have little or no available labeled data.
Recent work has shown impressive results when underlying classes have significant …
Recent work has shown impressive results when underlying classes have significant …
[引用][C] Multi-dimensional features for Person Re-identification based tensor analyses
H RABAI, M ABDELLATIF, A CHOUCHANE - 2022