Yalun Dai

Orcid: 0009-0001-4260-4385

According to our database1, Yalun Dai authored at least 15 papers between 2023 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
CoSurfGS: 3D Surface Gaussian Splatting with Collaborative Distributed Learning for Large-scale Scene Reconstruction.
Int. J. Comput. Vis., May, 2026

Radiant: Efficient Timely Large-Scale Scene Analytics Based on Hierarchical Framework.
IEEE Trans. Serv. Comput., 2026

2025
OmniVGGT: Omni-Modality Driven Visual Geometry Grounded Transformer.
CoRR, November, 2025

From Spatial to Actions: Grounding Vision-Language-Action Model in Spatial Foundation Priors.
CoRR, October, 2025

Data Efficacy for Language Model Training.
CoRR, June, 2025

Training-Free Dataset Pruning for Instance Segmentation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
SPGC: Shape-Prior-Based Generated Content Data Augmentation for Remote Sensing Object Detection.
IEEE Trans. Geosci. Remote. Sens., 2024

CoSurfGS:Collaborative 3D Surface Gaussian Splatting with Distributed Learning for Large Scene Reconstruction.
CoRR, 2024

Radiant: Large-scale 3D Gaussian Rendering based on Hierarchical Framework.
CoRR, 2024

LTRL: Boosting Long-Tail Recognition via Reflective Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024

GGRt: Towards Pose-Free Generalizable 3D Gaussian Splatting in Real-Time.
Proceedings of the Computer Vision - ECCV 2024, 2024

LTGC: Long-Tail Recognition via Leveraging LLMs-Driven Generated Content.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

GP-NeRF: Generalized Perception NeRF for Context-Aware 3D Scene Understanding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Boosting Low-Data Instance Segmentation by Unsupervised Pre-training with Saliency Prompt.
CoRR, 2023

Boosting Low-Data Instance Segmentation by Unsupervised Pre-training with Saliency Prompt.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023


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