Kaixiong Gong

Orcid: 0000-0002-7510-9356

According to our database1, Kaixiong Gong authored at least 15 papers between 2021 and 2024.

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

Timeline

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Bibliography

2024
Adapting Across Domains via Target-Oriented Transferable Semantic Augmentation Under Prototype Constraint.
Int. J. Comput. Vis., April, 2024

BIFRÖST: 3D-Aware Image compositing with Language Instructions.
CoRR, 2024

Subjective Topic meets LLMs: Unleashing Comprehensive, Reflective and Creative Thinking through the Negation of Negation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Reg-TTA3D: Better Regression Makes Better Test-Time Adaptive 3D Object Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024

Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

OneLLM: One Framework to Align All Modalities with Language.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Text-to-3D Generation with Bidirectional Diffusion Using Both 2D and 3D Priors.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
End-to-End Transferable Anomaly Detection via Multi-Spectral Cross-Domain Representation Alignment.
IEEE Trans. Knowl. Data Eng., December, 2023

Critical Classes and Samples Discovering for Partial Domain Adaptation.
IEEE Trans. Cybern., September, 2023

Towards Unified and Effective Domain Generalization.
CoRR, 2023

Meta-Transformer: A Unified Framework for Multimodal Learning.
CoRR, 2023

2022
Improving Transferability for Domain Adaptive Detection Transformers.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021
Pareto Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Transferable Semantic Augmentation for Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021


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