Yuliang Zou

Orcid: 0000-0002-8374-6662

According to our database1, Yuliang Zou authored at least 15 papers between 2017 and 2024.

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Bibliography

2024
Differentially Private Video Activity Recognition.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Multi-teacher Invariance Distillation for Domain-Generalized Action Recognition.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023
Learning representational invariances for data-efficient action recognition.
Comput. Vis. Image Underst., January, 2023

2022
Label-Efficient Visual Understanding with Consistency Constraints.
PhD thesis, 2022

Learning Instance-Specific Adaptation for Cross-Domain Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Reducing Footskate in Human Motion Reconstruction with Ground Contact Constraints.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Learning Monocular Visual Odometry via Self-Supervised Long-Term Modeling.
Proceedings of the Computer Vision - ECCV 2020, 2020

DRG: Dual Relation Graph for Human-Object Interaction Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

Robust Unsupervised Cleaning of Underwater Bathymetric Point Cloud Data.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2018
DF-Net: Unsupervised Joint Learning of Depth and Flow Using Cross-Task Consistency.
Proceedings of the Computer Vision - ECCV 2018, 2018

iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Label Efficient Learning of Transferable Representations across Domains and Tasks.
CoRR, 2017

Label Efficient Learning of Transferable Representations acrosss Domains and Tasks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning to Generate Long-term Future via Hierarchical Prediction.
Proceedings of the 34th International Conference on Machine Learning, 2017


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