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CDPM: Convolutional Deformable Part Models for Semantically Aligned
Person Re-identification
IEEE Transactions on Image Processing (TIP), 2019
Papers citing "CDPM: Convolutional Deformable Part Models for Semantically Aligned Person Re-identification"
12 / 12 papers shown
Title |
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![]() Person Re-identification: A Retrospective on Domain Specific Open
Challenges and Future TrendsPattern Recognition (Pattern Recogn.), 2022 |
![]() Deep High-Resolution Representation Learning for Cross-Resolution Person
Re-identificationIEEE Transactions on Image Processing (TIP), 2021 |
![]() AAformer: Auto-Aligned Transformer for Person Re-IdentificationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 |
![]() Unified Batch All Triplet Loss for Visible-Infrared Person
Re-identificationIEEE International Joint Conference on Neural Network (IJCNN), 2021 |
![]() Batch Coherence-Driven Network for Part-aware Person Re-IdentificationIEEE Transactions on Image Processing (TIP), 2020 |
![]() Multi-task Learning with Coarse Priors for Robust Part-aware Person
Re-identificationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 |












