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Found 10 papers, 0 papers with code
Domain Generalizable Person Search Using Unreal Dataset
Collecting and labeling real datasets to train the person search networks not only requires a lot of time and effort, but also accompanies privacy issues.
Lifelong Person Re-Identification with Backward-Compatibility
To this end, we devise the cross-model compatibility loss based on the contrastive learning with respect to the replay features across all the old datasets.
Context-Aware Unsupervised Clustering for Person Search
The existing person search methods use the annotated labels of person identities to train deep networks in a supervised manner that requires a huge amount of time and effort for human labeling.
End-to-End Trainable Trident Person Search Network Using Adaptive Gradient Propagation
Person search suffers from the conflicting objectives of commonness and uniqueness between the person detection and re-identification tasks that make the end-to-end training of person search networks difficult.
Reflection Removal for Large-Scale 3D Point Clouds
Large-scale 3D point clouds (LS3DPCs) captured by terrestrial LiDAR scanners often exhibit reflection artifacts by glasses, which degrade the performance of related computer vision techniques.
Reflection Removal Using Low-Rank Matrix Completion
The images taken through glass often capture a target transmitted scene as well as undesired reflected scenes.
SOWP: Spatially Ordered and Weighted Patch Descriptor for Visual Tracking
The patch weights represent the importance of each patch in the description of foreground information, and are used to construct an object descriptor, called spatially ordered and weighted patch (SOWP) descriptor.
Multiple Random Walkers and Their Application to Image Cosegmentation
A graph-based system to simulate the movements and interactions of multiple random walkers (MRW) is proposed in this work.
Multihypothesis Trajectory Analysis for Robust Visual Tracking
The notion of multihypothesis trajectory analysis (MTA) for robust visual tracking is proposed in this work.
Visual Tracking Using Pertinent Patch Selection and Masking
A novel visual tracking algorithm using patch-based appearance models is proposed in this paper.
