Yalun Dai

According to our database, Yalun Dai authored at least 17 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

CoSurfGS: 3D Surface Gaussian Splatting with Collaborative Distributed Learning for Large-scale Scene Reconstruction.

Yuanyuan Gao, Yalun Dai, Hao Li, Weicai Ye, Junyi Chen, Danpeng Chen, Dingwen Zhang, Tong He, Guofeng Zhang, Junwei Han

Int. J. Comput. Vis., May, 2026

SpatialBench: Is Your Spatial Foundation Model an All-Round Player?

Haosong Peng, Hao Li, Jiaqi Chen, Yuhao Pan, Runmao Yao, Yalun Dai, Fushuo Huo, Fangzhou Hong, Zhaoxi Chen, Haozhao Wang, Dingwen Zhang, Ziwei Liu, Wenchao Xu

CoRR, May, 2026

Radiant: Efficient Timely Large-Scale Scene Analytics Based on Hierarchical Framework.

Haosong Peng, Tianyu Qi, Yufeng Zhan, Ren Jin, Hao Li, Yalun Dai, Yuanqing Xia

IEEE Trans. Serv. Comput., 2026

Demystifying Data Organization for Enhanced LLM Training.

Yalun Dai, Yangyu Huang, Tongshen Yang, Yonghan Wang, Xin Zhang, Wenshan Wu, Qihao Zhao, Hao Li, Yuanyuan Gao, Kim-Hui Yap, Scarlett Li

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

OmniVGGT: Omni-Modality Driven Visual Geometry Grounded Transformer.

Haosong Peng, Hao Li, Yalun Dai, Yushi Lan, Yihang Luo, Tianyu Qi, Zhengshen Zhang, Yufeng Zhan, Junfei Zhang, Wenchao Xu, Ziwei Liu

CoRR, November, 2025

From Spatial to Actions: Grounding Vision-Language-Action Model in Spatial Foundation Priors.

Zhengshen Zhang, Hao Li, Yalun Dai, Zhengbang Zhu, Lei Zhou, Chenchen Liu, Dong Wang, Francis E. H. Tay, Sijin Chen, Ziwei Liu, Yuxiao Liu, Xinghang Li, Pan Zhou

CoRR, October, 2025

Data Efficacy for Language Model Training.

Yalun Dai, Yangyu Huang, Xin Zhang, Wenshan Wu, Chong Li, Wenhui Lu, Shijie Cao, Li Dong, Scarlett Li

CoRR, June, 2025

Training-Free Dataset Pruning for Instance Segmentation.

Yalun Dai, Lingao Xiao, Ivor W. Tsang, Yang He

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

SPGC: Shape-Prior-Based Generated Content Data Augmentation for Remote Sensing Object Detection.

Yalun Dai, Fei Ma, Wei Hu, Fan Zhang

IEEE Trans. Geosci. Remote. Sens., 2024

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

Yuanyuan Gao, Yalun Dai, Hao Li, Weicai Ye, Junyi Chen, Danpeng Chen, Dingwen Zhang, Tong He, Guofeng Zhang, Junwei Han

CoRR, 2024

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

Haosong Peng, Tianyu Qi, Yufeng Zhan, Hao Li, Yalun Dai, Yuanqing Xia

CoRR, 2024

LTRL: Boosting Long-Tail Recognition via Reflective Learning.

Qihao Zhao, Yalun Dai, Shen Lin, Wei Hu, Fan Zhang, Jun Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

GGRt: Towards Pose-Free Generalizable 3D Gaussian Splatting in Real-Time.

Hao Li, Yuanyuan Gao, Chenming Wu, Dingwen Zhang, Yalun Dai, Chen Zhao, Haocheng Feng, Errui Ding, Jingdong Wang, Junwei Han

Proceedings of the Computer Vision - ECCV 2024, 2024

LTGC: Long-Tail Recognition via Leveraging LLMs-Driven Generated Content.

Qihao Zhao, Yalun Dai, Hao Li, Wei Hu, Fan Zhang, Jun Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

GP-NeRF: Generalized Perception NeRF for Context-Aware 3D Scene Understanding.

Hao Li, Dingwen Zhang, Yalun Dai, Nian Liu, Lechao Cheng, Jingfeng Li, Jingdong Wang, Junwei Han

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.

Hao Li, Dingwen Zhang, Nian Liu, Lechao Cheng, Yalun Dai, Chao Zhang, Xinggang Wang, Junwei Han

CoRR, 2023

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

Hao Li, Dingwen Zhang, Nian Liu, Lechao Cheng, Yalun Dai, Chao Zhang, Xinggang Wang, Junwei Han

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023