Tianyu Yang

Orcid: 0000-0002-9674-5220

Affiliations:
  • City University of Hong Kong, Hong Kong
  • Tencent AI Lab, Shenzhen, China


According to our database1, Tianyu Yang authored at least 17 papers between 2017 and 2023.

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Timeline

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Bibliography

2023
The First Visual Object Tracking Segmentation VOTS2023 Challenge Results.
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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Scalable Video Object Segmentation with Simplified Framework.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
A Lightweight and Detector-free 3D Single Object Tracker on Point Clouds.
CoRR, 2022

LocVTP: Video-Text Pre-training for Temporal Localization.
Proceedings of the Computer Vision - ECCV 2022, 2022

Unsupervised Pre-training for Temporal Action Localization Tasks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SWEM: Towards Real-Time Video Object Segmentation with Sequential Weighted Expectation-Maximization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Exploring Denoised Cross-video Contrast for Weakly-supervised Temporal Action Localization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Motion-aware Contrastive Video Representation Learning via Foreground-background Merging.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Visual Tracking via Dynamic Memory Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Motion-aware Self-supervised Video Representation Learning via Foreground-background Merging.
CoRR, 2021

VideoMoCo: Contrastive Video Representation Learning With Temporally Adversarial Examples.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
ROAM: Recurrently Optimizing Tracking Model.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Density-Preserving Hierarchical EM Algorithm: Simplifying Gaussian Mixture Models for Approximate Inference.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

The Seventh Visual Object Tracking VOT2019 Challenge Results.
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Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018
Learning Dynamic Memory Networks for Object Tracking.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Recurrent Filter Learning for Visual Tracking.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017


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