Staff profile

Conference Paper

• Towards Scalable Spatial Intelligence via 2D-to-3D Data Lifting
  
  Miao, X., Duan, H., Qian, Q., Wang, J., Long, Y., Shao, L., Zhao, D., Xu, R., & Zhang, G. (in press). Towards Scalable Spatial Intelligence via 2D-to-3D Data Lifting. Presented at International Conference on Computer Vision, ICCV 2025, Honolulu, Hawaii.
• TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency
  
  Shao, M., Miao, X., Duan, H., Wang, Z., Chen, J., Huang, Y., Deng, J., Wu, X., Long, Y., & Zheng, Y. (2026). TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency. In Medical Image Computing and Computer Assisted Intervention – MICCAI 2025 (pp. 627-637). Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-04965-0_59
• Rethinking Score Distilling Sampling for 3D Editing and Generation
  
  Miao, X., Duan, H., Long, Y., & Han, J. (2025). Rethinking Score Distilling Sampling for 3D Editing and Generation. In A. Singh, M. Fazel, D. Hsu, S. Lacoste-Julien, F. Berkenkamp, T. Maharaj, K. Wagstaff, & J. Zhu (Eds.), Proceedings of the 42nd International Conference on Machine Learning (pp. 44037-44053).

Journal Article

• ConRF: Zero-shot stylization of 3D scenes with conditioned radiation fields
  
  Miao, X., Bai, Y., Duan, H., Wan, F., Huang, Y., Long, Y., & Zheng, Y. (2026). ConRF: Zero-shot stylization of 3D scenes with conditioned radiation fields. Pattern Recognition, 175, Article 113134. https://doi.org/10.1016/j.patcog.2026.113134
• Laser: Efficient Language-Guided Segmentation in Neural Radiance Fields
  
  Miao, X., Duan, H., Bai, Y., Shah, T., Song, J., Long, Y., Ranjan, R., & Shao, L. (2025). Laser: Efficient Language-Guided Segmentation in Neural Radiance Fields. IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(5), 3922-3934. https://doi.org/10.1109/TPAMI.2025.3535916
• CTNeRF: Cross-time Transformer for dynamic neural radiance field from monocular video
  
  Miao, X., Bai, Y., Duan, H., Wan, F., Huang, Y., Long, Y., & Zheng, Y. (2024). CTNeRF: Cross-time Transformer for dynamic neural radiance field from monocular video. Pattern Recognition, 156, Article 110729. https://doi.org/10.1016/j.patcog.2024.110729
• DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume
  
  Miao, X., Bai, Y., Duan, H., Huang, Y., Wan, F., Xu, X., Long, Y., & Zheng, Y. (2024). DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume. IEEE Transactions on Circuits and Systems for Video Technology, 34(4), 2564-2576. https://doi.org/10.1109/tcsvt.2023.3305776