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Learning discriminative representation with global and fine‐grained features for cross‐view gait recognition

https://doi.org/10.1049/cit2.12051

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-69923-3_51openalex-snapshot

Pose-Based Temporal-Spatial Network (PTSN) for Gait Recognition with Carrying and Clothing Variations

inferredcites →https://doi.org/10.1016/j.cviu.2018.01.007openalex-snapshot

Biometric recognition by gait: A survey of modalities and features

inferredcites →https://doi.org/10.1016/j.neucom.2017.02.006openalex-snapshot

Invariant feature extraction for gait recognition using only one uniform model

inferredcites →https://doi.org/10.1016/j.patcog.2019.04.023openalex-snapshot

A comprehensive study on gait biometrics using a joint CNN-based method

inferredcites →https://doi.org/10.1109/cvpr.2016.149openalex-snapshot

Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function

inferredcites →https://doi.org/10.1109/cvpr.2017.782openalex-snapshot

Learning Deep Context-Aware Features over Body and Latent Parts for Person Re-identification

inferredcites →https://doi.org/10.1109/cvpr.2018.00046openalex-snapshot

Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-identification

inferredcites →https://doi.org/10.1109/cvpr.2018.00243openalex-snapshot

Harmonious Attention Network for Person Re-identification

inferredcites →https://doi.org/10.1109/cvpr.2018.00745openalex-snapshot

Squeeze-and-Excitation Networks

inferredcites →https://doi.org/10.1109/cvpr.2018.00813openalex-snapshot

Non-local Neural Networks

inferredcites →https://doi.org/10.1109/cvpr.2019.00375openalex-snapshot

Patch-Based Discriminative Feature Learning for Unsupervised Person Re-Identification

inferredcites →https://doi.org/10.1109/cvpr.2019.00483openalex-snapshot

Learning Joint Gait Representation via Quintuplet Loss Minimization

inferredcites →https://doi.org/10.1109/cvpr.2019.00484openalex-snapshot

Gait Recognition via Disentangled Representation Learning

inferredcites →https://doi.org/10.1109/cvprw.2019.00190openalex-snapshot

Bag of Tricks and a Strong Baseline for Deep Person Re-Identification

inferredcites →https://doi.org/10.1109/iccv.1995openalex-snapshot

Proceedings of IEEE International Conference on Computer Vision

inferredcites →https://doi.org/10.1109/iccv.2017.349openalex-snapshot

Deeply-Learned Part-Aligned Representations for Person Re-identification

inferredcites →https://doi.org/10.1109/iccv.2017.427openalex-snapshot

Pose-Driven Deep Convolutional Model for Person Re-identification

inferredcites →https://doi.org/10.1109/icece.2012.6471473openalex-snapshot

Effective part selection for part-based gait identification

inferredcites →https://doi.org/10.1109/icip.2016.7533144openalex-snapshot

Multi-view gait recognition using 3D convolutional neural networks

inferredcites →https://doi.org/10.1109/icpr.2000openalex-snapshot

Proceedings 15th International Conference on Pattern Recognition. ICPR-2000

inferredcites →https://doi.org/10.1109/icpr.2016.7899654openalex-snapshot

Learning effective Gait features using LSTM

inferredcites →https://doi.org/10.1109/ijcb.2011.6117582openalex-snapshot

Model-based 3D gait biometrics

inferredcites →https://doi.org/10.1109/lsp.2015.2507200openalex-snapshot

Human Body Part Selection by Group Lasso of Motion for Model-Free Gait Recognition

inferredcites →https://doi.org/10.1109/tcsvt.2017.2760835openalex-snapshot

On Input/Output Architectures for Convolutional Neural Network-Based Cross-View Gait Recognition

inferredcites →https://doi.org/10.1109/tifs.2012.2204253openalex-snapshot

The OU-ISIR Gait Database Comprising the Large Population Dataset and Performance Evaluation of Gait Recognition

inferredcites →https://doi.org/10.1109/tifs.2013.2287605openalex-snapshot

View-Invariant Discriminative Projection for Multi-View Gait-Based Human Identification

inferredcites →https://doi.org/10.1109/tifs.2018.2844819openalex-snapshot

Multi-Task GANs for View-Specific Feature Learning in Gait Recognition

inferredcites →https://doi.org/10.1109/tip.2019.2891888openalex-snapshot

Deep Representation Learning With Part Loss for Person Re-Identification

inferredcites →https://doi.org/10.1109/tip.2019.2926208openalex-snapshot

Cross-View Gait Recognition by Discriminative Feature Learning

inferredcites →https://doi.org/10.1109/tmm.2015.2477681openalex-snapshot

Learning Representative Deep Features for Image Set Analysis

inferredcites →https://doi.org/10.1109/tpami.2016.2545669openalex-snapshot

A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs

inferredcites →https://doi.org/10.1109/tsmcb.2010.2042166openalex-snapshot

Low-Resolution Gait Recognition

inferredcites →https://doi.org/10.1145/3240508.3240552openalex-snapshot

Learning Discriminative Features with Multiple Granularities for Person Re-Identification

inferredcites →https://doi.org/10.1186/s41074-018-0039-6openalex-snapshot

Multi-view large population gait dataset and its performance evaluation for cross-view gait recognition

inferredcites →https://doi.org/10.24963/ijcai.2017/305openalex-snapshot

Person Re-Identification by Deep Joint Learning of Multi-Loss Classification

inferredcites →https://doi.org/10.48550/arxiv.1406.2661openalex-snapshot

Generative Adversarial Networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A deep learning model of dance generation for young children based on music rhythm and beat

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GaitCTCG: cross-view gait recognition via cascaded residual temporal shift and comprehensive multi-granularity learning

inferred← citeshttps://doi.org/10.1007/s11227-023-05156-9openalex-snapshot

Model-based and model-free deep features fusion for high performed human gait recognition

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Automatic multi-gait recognition using pedestrian’s spatiotemporal features

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Human-UAV interactive perception: Skeleton-based iterative perspective optimization algorithm for UAV patrol tracking of large-scale pedestrian abnormal behavior

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Composed Image Retrieval via Cross Relation Network With Hierarchical Aggregation Transformer

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Dual Level Adaptive Weighting for Cloth-Changing Person Re-Identification

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SketchTrans: Disentangled Prototype Learning With Transformer for Sketch-Photo Recognition

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Disentangling Consistent and Specific Information for Double Incomplete Multi-View Multi-Label Classification

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