Saihui Hou

Orcid: 0000-0003-4689-2860

According to our database1, Saihui Hou authored at least 35 papers between 2016 and 2024.

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Bibliography

2024
GaitParsing: Human Semantic Parsing for Gait Recognition.
IEEE Trans. Multim., 2024

Gait Recognition With Drones: A Benchmark.
IEEE Trans. Multim., 2024

Gait Attribute Recognition: A New Benchmark for Learning Richer Attributes From Human Gait Patterns.
IEEE Trans. Inf. Forensics Secur., 2024

Verifying in the Dark: Verifiable Machine Unlearning by Using Invisible Backdoor Triggers.
IEEE Trans. Inf. Forensics Secur., 2024

QAGait: Revisit Gait Recognition from a Quality Perspective.
CoRR, 2024

QAGait: Revisit Gait Recognition from a Quality Perspective.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Disentangled Diffusion-Based 3D Human Pose Estimation with Hierarchical Spatial and Temporal Denoiser.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Learning Gait Representation From Massive Unlabelled Walking Videos: A Benchmark.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Gait Quality Aware Network: Toward the Interpretability of Silhouette-Based Gait Recognition.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

A Comprehensive Study on the Evaluation of Silhouette-Based Gait Recognition.
IEEE Trans. Biom. Behav. Identity Sci., 2023

FastPoseGait: A Toolbox and Benchmark for Efficient Pose-based Gait Recognition.
CoRR, 2023

Free Lunch for Gait Recognition: A Novel Relation Descriptor.
CoRR, 2023

Unsupervised Gait Recognition with Selective Fusion.
CoRR, 2023

Exploring Deep Models for Practical Gait Recognition.
CoRR, 2023

LandmarkGait: Intrinsic Human Parsing for Gait Recognition.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Causal Intervention for Sparse-View Gait Recognition.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

GPGait: Generalized Pose-based Gait Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

An In-Depth Exploration of Person Re-Identification and Gait Recognition in Cloth-Changing Conditions.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

OpenGait: Revisiting Gait Recognition Toward Better Practicality.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Deep Learning-based Occluded Person Re-identification: A Survey.
CoRR, 2022

Progressive Feature Learning for Realistic Cloth-Changing Gait Recognition.
CoRR, 2022

GaitEdge: Beyond Plain End-to-End Gait Recognition for Better Practicality.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Set Residual Network for Silhouette-Based Gait Recognition.
IEEE Trans. Biom. Behav. Identity Sci., 2021

Learning Rich Features for Gait Recognition by Integrating Skeletons and Silhouettes.
CoRR, 2021

2020
Gait Lateral Network: Learning Discriminative and Compact Representations for Gait Recognition.
Proceedings of the Computer Vision - ECCV 2020, 2020

GaitPart: Temporal Part-Based Model for Gait Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Learning a Unified Classifier Incrementally via Rebalancing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Weighted Channel Dropout for Regularization of Deep Convolutional Neural Network.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Object detection via deeply exploiting depth information.
Neurocomputing, 2018

Towards Human-Level License Plate Recognition.
Proceedings of the Computer Vision - ECCV 2018, 2018

Lifelong Learning via Progressive Distillation and Retrospection.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Background-Driven Salient Object Detection.
IEEE Trans. Multim., 2017

DualNet: Learn Complementary Features for Image Recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2017

VegFru: A Domain-Specific Dataset for Fine-Grained Visual Categorization.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Deeply Exploit Depth Information for Object Detection.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016


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