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李垚辰 |
计算机视觉与模式识别
人工智能与机器学习
智能交通:风格迁移、语义分割、场景图生成
具身智能:人机协同、姿态估计、动作模仿
遥感监测:遥感语义分割、旋转目标检测
2026年1月~至今:西安交通大学, 软件学院, 教授
2020年1月~2025年12月:西安交通大学, 软件学院, 副教授
2016年10月~2019年12月:西安交通大学, 软件学院, 讲师
[1] 2025.01-2029.12 国家自然科学基金重大项目子课题(编号:62495084), 作业行为驱动的实时定位与动态路径规划.
[2] 2025.01-2028.12 国家自然科学基金面上项目(编号:62473307), 交通要素时空关联的自适应多层级语义场景重建方法研究.
[3] 2024.01-2025.12 西安市科技计划(编号: 24ZDCYJSGG0022HZ), 复杂交通环境下的道路环境感知及定位算法研究.
[4] 2022.01-2023.12 陕西省重点研发计划项目(编号: 2022GY-080), 关联模式挖掘的道路场景重建方法研究与应用.
[5] 2021.12-2024.12 国家科技创新2030—“新一代人工智能”重大项目课题(编号:2021ZD0110702-ZKT02), 软件定义的科教资源共建共享支撑平台. (子课题负责人)
[6] 2021.08-2023.07 中国博士后科学基金特别资助项目(编号:2021T140542),动态交通场景视频的高精度语义分割方法研究.
[7] 2019.01-2021.12 国家自然科学基金青年基金项目(编号:61803298), 道路场景视觉感知的交通要素线框模型表示与计算方法研究.
[8] 2018.07-2020.07 苏州市科技计划重点产业创新前瞻性应用研究(编号:SYG201843), 动态交通场景实时目标检测与分析方法研究.
[9] 2018.07-2021.06 江苏省自然科学基金青年基金项目(编号:BK20180236), 多粒度视频特征融合的场景要素分析与合成方法研究.
[10] 2017.01-2018.12 中国博士后科学基金面上项目(编号:2017M613142), 基于时空特征一致性的视频语义标注与建模方法研究.
[11] 2017.01-2019.12 中央高校基本科研业务费综合交叉类项目(编号:xjj2017176), 基于多粒度视觉特征的场景分析建模及其在网络图像流中的应用研究.
[1] Yaochen Li, Haoting He, Yutong Wang, Gaojie Li and Junyi Wu. Key Instance-Based Spatio-Temporal Network for Group Activity Recognition[J]. ACM Transactions on Multimedia Computing, Communications, and Applications, 2026.
[2] Yaochen Li, Xinnan Ma, Limeng Zhao, Chenxu Zhou, Jiahui Feng and Yuehu Liu. SCALE-Pose: Skeletal Correction and Language Knowledge-assisted for 3D Human Pose Estimation[J]. ACM Transactions on Multimedia Computing, Communications, and Applications, 2026.
[3] Chaoshi Lu, Yaochen Li*, Yuanbo Kou, Wenlong Zhou, Zhen Ren, Dinghao Li, Mingtao He and Yifei Xu. Dynamic fusion label assignment network for remote sensing object detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2025.
[4] Gaojie Li, Yaochen Li*, Jingle Liu, Wei Guo, Wenneng Tang and Yuehu Liu. ESE-GAN: Zero-shot food image classification based on low dimensional embedding of visual features[J]. IEEE Transactions on Multimedia, 2025, 27(1): 2713-2723.
[5] Yi Han, Yaochen Li*, Peijun Chen, Wenlong Zhou, Jinhuo Yang and Jintao Chang. SVDGNet: Shapley Value-Based Weight Adjustment for Unsupervised Image Style Transfer[C]//In Proceedings of ACM International Conference on Multimedia (ACM MM), Dublin, Oct. 2025.
[6] Yimou Guo, Yaochen Li*, Jingze Liu, Jiahui Feng, Haoyi Lou, Zhimin Chen, Yuan Gao and Yuanqi Su. Image Captioning with Multimodal Guidance and Search Space Optimization[C]//In Proceedings of ACM International Conference on Multimedia (ACM MM), Dublin, Oct. 2025.
[7] Zhifeng Zhu, Yaochen Li*, Yifan Li, Jinhuo Yang, Peijun Chen and Yuehu Liu. SEIT: Structural Enhancement for Unsupervised Image Translation in Frequency Domain[C]//In Proceedings of AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Feb. 2024.
[8] Yujie Zang, Yaochen Li*, Luguang Cao, and Ruitao Lu. Template-guided data augmentation for unbiased scene graph generation[C]//In Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Apr. 2024.
[9] Yifan Li, Yaochen Li*, Wenneng Tang, Zhifeng Zhu, Jinhuo Yang and Yuehu Liu. Swin-UNIT: Transformer-based GAN for High-resolution Unpaired Image Translation[C]//In Proceedings of ACM International Conference on Multimedia (ACM MM), Ottawa, Oct. 2023.
[10] Ruihao Wang, Jian Qin, Kaiying Li, Yaochen Li, Dong Cao, Jintao Xu. V-BEV-LaneDet: An Efficient 3D Lane Detection Method Based on Virtual Camera via Key-Points[C]//In Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Jun. 2023.
[11] Yaochen Li, Haochuan Hou, Zikun Dong, Yujie Zang, Ying Zhang and Yonghong Song. Spatiotemporal analysis of static and dynamic traffic elements from road scenes[J]. IEEE Transactions on Intelligent Transportation Systems, 2022. [12] Yaochen Li, Chuan Wu, Ling Li, Yuehu Liu and Jihua Zhu. Caption generation from road images for traffic scene modeling[J]. IEEE Transactions on Intelligent Transportation Systems, 2021.
[13] Mengtao Han, Yaochen Li*, Liangyu Zuo, Qiao Li, Chi Zhang, Yuanqi Su and Ping Li. Point cloud segmentation via edge-fused local graph learning[C]//In Proceedings of IEEE International Conference on Robotics and Automation (ICRA), Xi'an, May. 2021.
[14] Yaochen Li, Yuehu Liu, Jihua Zhu, Shiqi Ma, Zhenning Niu and Rui Guo. Spatiotemporal road scene reconstruction using superpixel-based Markov random field[J]. Information Sciences, 2020, 507: 124-142. (SCI, WOS:000489000500008)(IF 2020: 5.910)
[15] Yaochen Li, Yuehu Liu, Yuanqi Su, Gang Hua and Nanning Zheng. Three-dimensional traffic scenes simulation from road image sequences[J]. IEEE Transactions on Intelligent Transportation Systems, 2016, 17(4): 1121-1134.

