Jin Tang

Affiliations:
  • Huawei Technologies Company Ltd., Huawei Noah's Ark Lab, Toronto, Canada


According to our database1, Jin Tang authored at least 13 papers between 2020 and 2024.

Collaborative distances:

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Bibliography

2024
Visually Guided Audio Source Separation with Meta Consistency Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Fast Human Pose Estimation in Compressed Videos.
IEEE Trans. Multim., 2023

Test-Time Adaptation for Optical Flow Estimation Using Motion Vectors.
IEEE Trans. Image Process., 2023

Meta-Auxiliary Learning for Future Depth Prediction in Videos.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Video Action Recognition with Adaptive Zooming Using Motion Residuals.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Error-Aware Spatial Ensembles for Video Frame Interpolation.
CoRR, 2022

S-Rocket: Selective Random Convolution Kernels for Time Series Classification.
CoRR, 2022

Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay.
Proceedings of the Computer Vision, 2022

MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Toward Personalized Emotion Recognition: A Face Recognition Based Attention Method for Facial Emotion Recognition.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

Test-Time Fast Adaptation for Dynamic Scene Deblurring via Meta-Auxiliary Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
All at Once: Temporally Adaptive Multi-frame Interpolation with Advanced Motion Modeling.
Proceedings of the Computer Vision - ECCV 2020, 2020


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