Huanzhang Dou

Orcid: 0000-0002-3277-5906

According to our database1, Huanzhang Dou authored at least 14 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
GaitMPL: Gait Recognition With Memory-Augmented Progressive Learning.
IEEE Trans. Image Process., 2024

In-Context LoRA for Diffusion Transformers.
CoRR, 2024

Group Diffusion Transformers are Unsupervised Multitask Learners.
CoRR, 2024

CLASH: Complementary Learning with Neural Architecture Search for Gait Recognition.
CoRR, 2024

GVDIFF: Grounded Text-to-Video Generation with Diffusion Models.
CoRR, 2024

SemanticMIM: Marring Masked Image Modeling with Semantics Compression for General Visual Representation.
CoRR, 2024

ScanFormer: Referring Expression Comprehension by Iteratively Scanning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
A Large-Scale Synthetic Gait Dataset Towards in-the-Wild Simulation and Comparison Study.
ACM Trans. Multim. Comput. Commun. Appl., January, 2023

Language Adaptive Weight Generation for Multi-Task Visual Grounding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

GaitGCI: Generative Counterfactual Intervention for Gait Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Referring Expression Comprehension Using Language Adaptive Inference.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Adaptive Cross-domain Learning for Generalizable Person Re-identification.
Proceedings of the Computer Vision - ECCV 2022, 2022

MetaGait: Learning to Learn an Omni Sample Adaptive Representation for Gait Recognition.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
VersatileGait: A Large-Scale Synthetic Gait Dataset with Fine-GrainedAttributes and Complicated Scenarios.
CoRR, 2021


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