Jiequan Cui

Orcid: 0000-0003-2422-7851

According to our database1, Jiequan Cui authored at least 20 papers between 2019 and 2024.

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

Timeline

2019
2020
2021
2022
2023
2024
0
5
10
4
1
2
1
6
2
3
1

Legend:

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In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Generalized Parametric Contrastive Learning.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Pushing Rendering Boundaries: Hard Gaussian Splatting.
CoRR, 2024

LoRA of Change: Learning to Generate LoRA for the Editing Instruction from A Single Before-After Image Pair.
CoRR, 2024

CARE Transformer: Mobile-Friendly Linear Visual Transformer via Decoupled Dual Interaction.
CoRR, 2024

Robust Fine-tuning of Zero-shot Models via Variance Reduction.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Typicalness-Aware Learning for Failure Detection.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Decoupled Kullback-Leibler Divergence Loss.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Instruction Tuning-Free Visual Token Complement for Multimodal LLMs.
Proceedings of the Computer Vision - ECCV 2024, 2024

Doubly Abductive Counterfactual Inference for Text-Based Image Editing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Classes Are Not Equal: An Empirical Study on Image Recognition Fairness.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
ResLT: Residual Learning for Long-Tailed Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Understanding Imbalanced Semantic Segmentation Through Neural Collapse.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Context-Aware Classifier for Semantic Segmentation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Region Rebalance for Long-Tailed Semantic Segmentation.
CoRR, 2022

Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition.
CoRR, 2022

2021
Adversarial Attacks on ML Defense Models Competition.
CoRR, 2021

Parametric Contrastive Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learnable Boundary Guided Adversarial Training.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Improving Calibration for Long-Tailed Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019
Fast and Practical Neural Architecture Search.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019


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