教师名录
近五年主要科研成果:
一、学术论文:
1. Xiang, J., Li, Y.*, Li, J., Zheng, W., & Fu, Q. (2025). Self-Calibrating Fisheye Lens Aberrations for Novel View Synthesis. In Computer Graphics Forum. (CCF B)
2. Yin, X., Zhu, C., Qu, S., Li, Y., Xu, K., Yin, B., & Yang, X.(2024). CSO: Constraint-guided Space Optimization for Active Scene Mapping. In ACM Multimedia 2024. (CCF A)
3. Chen, X.#, Li, Y.#, Chen, J., Li, J., Wang, C., & Tang, P. (2024). Enhancing Home Exercise Experiences with Video Motion-Tracking for Automatic Display Height Adjustment. In ACM CHI 2024. (CCF A)
4. Mei, X., Li, Y.*, Fu, Q., Heidrich, W. (2024). Progressive Self-supervised Learning for CASSI Computational Spectral Cameras. IEEE Transaction on Computational Imaging. (SCI 中科院二区)
5. Ye, X., Zhao, J., Qian, J., & Li, Y.*. (2024). SoftmaxU: Open softmax to be aware of unknowns. Engineering Applications of Artificial Intelligence, 133, 108594. (SCI 中科院二区)
6. Li, J., Li, Y.*, Sun, C., Wang, C., & Xiang, J. (2024). Spec-NeRF: Multi-Spectral Neural Radiance Fields. In ICASSP 2024. (CCF B)
7. Li, Y.*, Yin, W., Li, J., & Xie, X. (2023). Physics-based Efficient Full Projector Compensation using only Natural Images. IEEE Transactions on Visualization and Computer Graphics. (CCF A)
8. Li, Y.*, Fu, Q., & Heidrich, W. (2023). Extended Depth-of-Field Projector using Learned Diffractive Optics. In 2023 IEEE Conference Virtual Reality and 3D User Interfaces (VR) (pp. 449–459). (CCF A)
9. Li, J., Li, Y.*, Wang, C., Ye, X., & Heidrich, W. (2023). Busifusion: Blind Unsupervised Single Image Fusion of Hyperspectral and RGB Images. IEEE Transactions on Computational Imaging, 9, 94–105. (SCI 中科院二区)
10. Yin, W., Li, Y.*, Li, J., Ye, X., & Guo, L. (2023). Blind Inverse Light Transport using Unrolling Network. Applied Intelligence. (SCI 中科院二区)
11. Wang, Y., Li, Y.*, Wang, C., & Ye, X. (2023). Harmonized Portrait-Background Image Composition. In Computer Graphics Forum (pp. e14921). (CCF B)
12. Sun, C., Li, Y.*, Li, J., Wang, C.*, Ye, X. (2023). CaSE-NeRF: Camera Settings Editing of Neural Radiance Fields. In CGI 2023. (CCF C)
13. Li, Y., Fu, Q., & Heidrich, W. (2021). Multispectral Illumination Estimation using Deep Unrolling Network. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 2672–2681). (CCF A)
14. Baek, S.H., Ikoma, H., Jeon, D., Li, Y., Heidrich, W., Wetzstein, G., & Kim, M. (2021). Single-shot Hyperspectral-depth Imaging with Learned Diffractive Optics. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 2651–2660). (CCF A)
15. Tian, X., Wang, C., Guo, L., & Li, Y.*. (2021). Band Selection for Hyperspectral Image Classification using Binary Constrained Optimization. IEEE Geoscience and Remote Sensing Letters. (SCI 中科院二区)
16. Li, Y., Qi, M., Gulve, R., Wei, M., Genov, R., Kutulakos, K., & Heidrich, W. (2020). End-to-end Video Compressive Sensing using Anderson-accelerated Unrolled Networks. In 2020 IEEE international conference on computational photography (ICCP) (pp. 1–12).
17. Chen, N., Li, Y.*, & Heidrich, W. (2020). Physics-based Holo-Net for Three-dimensional Imaging. In 3D Image Acquisition and Display: Technology, Perception and Applications (pp. JTh3D–3).
二、项目课题:
宁波市创新挑战赛项目 - 多SKU重大件码垛项目 2025-2027
浙江省自然科学基金 - 基于隐式神经场的自监督压缩成像重建技术研究 2025-2026
宁波市重点研发项目 - 基于多尺度多模态融合的快速三维重建及语义标注关键技术研究 2023-2026
三、获奖情况:
中国创新挑战赛优胜奖两项