Yuanyi Zhong

Orcid: 0000-0003-4679-7548

According to our database1, Yuanyi Zhong authored at least 19 papers between 2017 and 2023.

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

Timeline

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Links

On csauthors.net:

Bibliography

2023
Shaping Deep Feature Space Towards Gaussian Mixture for Visual Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Do Pre-trained Models Benefit Equally in Continual Learning?
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

YouTubePD: A Multimodal Benchmark for Parkinson's Disease Analysis.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Contrastive Learning Relies More on Spatial Inductive Bias Than Supervised Learning: An Empirical Study.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Is Self-Supervised Learning More Robust Than Supervised Learning?
CoRR, 2022

2021
SIRfyN: Single Image Relighting from your Neighbors.
CoRR, 2021

Coordinate-wise Control Variates for Deep Policy Gradients.
CoRR, 2021

Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

DAP: Detection-Aware Pre-Training With Weak Supervision.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Efficient Competitive Self-Play Policy Optimization.
CoRR, 2020

Anchor Box Optimization for Object Detection.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Disentangling Controllable Object Through Video Prediction Improves Visual Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning.
CoRR, 2019

2018
Rethinking Feature Distribution for Loss Functions in Image Classification.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Toward End-to-End Face Recognition Through Alignment Learning.
IEEE Signal Process. Lett., 2017

Towards End-to-End Face Recognition through Alignment Learning.
CoRR, 2017

StructInf: Mining Structural Influence from Social Streams.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017


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