Kaihua Tang

Orcid: 0000-0002-1008-7053

According to our database1, Kaihua Tang authored at least 21 papers between 2016 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
RIRF: Reasoning Image Restoration Framework.
CoRR, April, 2026

AnchorSplat: Feed-Forward 3D Gaussian Splatting with 3D Geometric Priors.
CoRR, April, 2026

Scaling Test-Time Robustness of Vision-Language Models via Self-Critical Inference Framework.
CoRR, March, 2026

HiFloat4 Format for Language Model Inference.
CoRR, February, 2026

2025
Enhancing Multimodal In-Context Learning for Image Classification through Coreset Optimization.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

2023
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Align R-CNN: A Pairwise Head Network for Visual Relationship Detection.
IEEE Trans. Multim., 2022

Identifying Hard Noise in Long-Tailed Sample Distribution.
Proceedings of the Computer Vision - ECCV 2022, 2022

Invariant Feature Learning for Generalized Long-Tailed Classification.
Proceedings of the Computer Vision, 2022

Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Towards robust inference against distribution shifts in computer vision
PhD thesis, 2021

Adversarial Visual Robustness by Causal Intervention.
CoRR, 2021

Counterfactual VQA: A Cause-Effect Look at Language Bias.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Distilling Causal Effect of Data in Class-Incremental Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Unbiased Scene Graph Generation From Biased Training.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning to Segment the Tail.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Auto-Encoding Scene Graphs for Image Captioning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning to Compose Dynamic Tree Structures for Visual Contexts.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017
Deep feature selection and projection for cross-age face retrieval.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2016
Eigen-Aging Reference Coding for Cross-Age Face Verification and Retrieval.
Proceedings of the Computer Vision - ACCV 2016, 2016


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