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08/10/2022
KiPA22 Report: U-Net with Contour Regularization for Renal Structures Segmentation
Three-dimensional (3D) integrated renal structures (IRS) segmentation is...
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12/10/2021
Seq-Masks: Bridging the gap between appearance and gait modeling for video-based person re-identification
ideo-based person re-identification (Re-ID) aims to match person images ...
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12/01/2021
Subtask-dominated Transfer Learning for Long-tail Person Search
Person search unifies person detection and person re-identification (Re-...
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08/24/2021
Making Person Search Enjoy the Merits of Person Re-identification
Person search is an extended task of person re-identification (Re-ID). H...
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07/30/2021
Random vector functional link neural network based ensemble deep learning for short-term load forecasting
Electricity load forecasting is crucial for the power systems' planning ...
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04/19/2021
Numerical analysis of a Neumann boundary control problem with a stochastic parabolic equation
This paper analyzes the discretization of a Neumann boundary control pro...
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01/19/2021
Analysis of a discretization of a distributed control problem with a stochastic evolution equation
This paper analyzes a discretization of a stochastic parabolic optimal c...
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06/08/2020
Temporally semidiscrete approximation of a Dirichlet boundary control for a fractional/normal evolution equation with a final observation
Optimal Dirichlet boundary control for a fractional/normal evolution wit...
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11/17/2019
Distribution Context Aware Loss for Person Re-identification
To learn the optimal similarity function between probe and gallery image...
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05/15/2018
Robust and Efficient Graph Correspondence Transfer for Person Re-identification
Spatial misalignment caused by variations in poses and viewpoints is one...
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04/01/2018
Graph Correspondence Transfer for Person Re-identification
In this paper, we propose a graph correspondence transfer (GCT) approach...
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03/22/2018