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01/05/2023
Learning Feature Recovery Transformer for Occluded Person Re-identification
One major issue that challenges person re-identification (Re-ID) is the ...
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04/06/2022
Gait Recognition in the Wild with Dense 3D Representations and A Benchmark
Existing studies for gait recognition are dominated by 2D representation...
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12/16/2021
META: Mimicking Embedding via oThers' Aggregation for Generalizable Person Re-identification
Domain generalizable (DG) person re-identification (ReID) aims to test a...
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08/11/2021
Semi-Supervised Domain Generalizable Person Re-Identification
Existing person re-identification (re-id) methods are stuck when deploye...
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07/31/2021
Learning Instance-level Spatial-Temporal Patterns for Person Re-identification
Person re-identification (Re-ID) aims to match pedestrians under dis-joi...
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03/23/2021
Group-aware Label Transfer for Domain Adaptive Person Re-identification
Unsupervised Domain Adaptive (UDA) person re-identification (ReID) aims ...
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08/19/2020
Black Re-ID: A Head-shoulder Descriptor for the Challenging Problem of Person Re-Identification
Person re-identification (Re-ID) aims at retrieving an input person imag...
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06/04/2020
FastReID: A Pytorch Toolbox for Real-world Person Re-identification
We present FastReID, as a widely used object re-identification (re-id) s...
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04/10/2019
Foreground-aware Pyramid Reconstruction for Alignment-free Occluded Person Re-identification
Re-identifying a person across multiple disjoint camera views is importa...
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10/17/2018
Recognizing Partial Biometric Patterns
Biometric recognition on partial captured targets is challenging, where ...
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10/16/2018
SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification
Holistic person re-identification (ReID) has received extensive study in...
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07/12/2018
Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention
Video-based person re-identification (ReID) is a challenging problem, wh...
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01/03/2018