博士、教授、博士生导师
四川大学电子信息学院副院长
专业：通信与信息系统
研究方向：人工智能与计算机视觉
Email: yinjie@scu.edu.cn
地址：四川大学望江校区西五教学楼
招生信息：每年面向电子信息、计算机科学与软件工程等相关专业招收1-2名学术型博士生、约1-2名工程博士生以及多名学术/专业硕士生。实验室与国内外知名高校课题组常年展开学术研究，与知名企业、大型科研院所均有项目合作，经费充足。欢迎热爱学习、勤奋踏实、吃苦耐劳的有志学生加入！
联系方式
联系人：雷力（科研秘书）
电话：028-85466751
Email: admin@scuailab.com
学习工作经历
分别于2006年、2009年和2013年在西南交通大学、四川大学和澳大利亚西澳大学获得本科、硕士和博士学位。2013年12月起在四川大学电子信息学院从事教学和科研工作，2017年9月起担任四川大学电子信息学院副院长。四川省特聘专家、四川省学术和技术带头人后备人选、四川杰出青年科学基金获得者。
近年来部分科研项目
1. 国家自然科学基金委员会，联合基金重点项目，面向跨域协同的目标探测与智能态势感知理论和关键技术，2024-01至2027-12，260万元，项目负责人
2. 国家科学技术部，国家重点研发计划，感染性休克的早期快速规范化治疗研究，2022-12至2025-11，320万元，课题负责人
3. 国家自然科学基金委员会，面上项目，基于点云-语言交互和任务增量学习的三维视觉推理研究，2023-01至2026-12，55万元，项目负责人
4. 华为技术有限公司，企业合作项目，点云和图像融合处理项目，2022-01至2023-01，148万元，项目负责人
5. 国家科学技术部，国家重点研发计划，基层社会网格治理数字化关键技术研究与应用示范，2021-12至2024-11，115万元，子课题负责人
6. 华为技术有限公司，企业合作项目，基于机器学习的光通信参数估计，2020-11至2021-11，108万元，项目负责人
近年来部分学术论文
[1] Y. Zhang, H. Luo and Y. Lei. Towards CLIP-driven Language-free 3D Visual Grounding via 2D-3D Relational Enhancement and Consistency. in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
[2] L. Chen, X. Tian, S. Xiong, Y. Lei and Chao Ren. Unsupervised Blind Image Deblurring Based on Self-Enhancement. in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
[3] M. Chen, L. Wang, Y. Lei, Z. Dong and Y. Guo. Learning Spherical Radiance Field for Efficient 360° Unbounded Novel View Synthesis. IEEE Transactions on Image Processing (TIP), 2024.
[4] Z. Lu, Y. Pei, G. Wang, P. Li, Y. Lei and H. Shen. ScanERU: Interactive 3D Visual Grounding based on Embodied Reference Understanding. Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), 2024.
[5] Z. Liu, M. Hayat, H. Yang, D. Peng and Y. Lei. Deep Hypersphere Feature Regularization for Weakly Supervised RGB-D Salient Object Detection. IEEE Transactions on Image Processing (TIP), 2023.
[6] D. Ye, B. Tang, Y. Lei, Y. Liu and H. Li. Overcome Anterograde Forgetting with Cycle Memory Networks. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023.
[7] Y. Guo, H. Wang, L. Wang, Y. Lei, L. Liu and M. Bennamoun. 3D Face Recognition: Two Decades of Progress and Prospects. ACM Computing Surveys (CSUR), 2023.
[8] Y. Yang, M. Hayat, Z. Jin, H. Zhu and Y. Lei. Zero-Shot Point Cloud Segmentation by Semantic-Visual Aware Synthesis. in: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
[9] X. Lin, C. Ren, X. Liu, J. Huang and Y. Lei. Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branches. in: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
[10] Y. Yang, M. Hayat, Z. Jin, C. Ren and Y. Lei. Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic. in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
[11] Z. Jin, M. Hayat, Y. Yang, Y. Guo and Y. Lei. Context-aware Alignment and Mutual Masking for 3D-Language Pre-training. in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. (Highlight Paper)
[12] Z. Zhou, Y. Lei, B. Zhang, L. Liu and Y. Liu. ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation. in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
[13] S. Chen, H. Zhu, X. Chen, Y. Lei, T. Chen and G. Yu. End-to-End 3D Dense Captioning with Vote2Cap-DETR. in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
[14] D. Peng, Y. Lei, M. Hayat, Y. Guo and W. Li. Semantic-Aware Domain Generalized Segmentation. in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (Oral Presentation)
[15] Z. Jin, Y. Lei, N. Akhtar, H. Li and M. Hayat. Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds. in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
[16] R. Wang, J. Liu, Q. Ke, D. Peng and Y. Lei. Dear-Net: Learning Diversities for Skeleton-Based Early Action Recognition. IEEE Transactions on Multimedia (TMM), 2022.
[17] Y. Gou, Y. Lei, L. Liu, Y. Dai and C. Shen. Contextualize Knowledge Bases with Transformer for End-to-end Task-Oriented Dialogue Systems, in: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021. (Oral Presentation)
[18] D. Peng, Y. Lei, W. Li, P. Zhang and Y. Guo. Sparse-to-dense feature matching: intra and inter domain cross-modal learning in domain adaptation for 3D semantic segmentation, in: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021.
[19] W. Liu, P. Zhang, Y. Lei, X. Huang, J. Yang and M. Ng. A generalized framework for edge-preserving and structure-preserving image smoothing. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.
[20] Y. Lei, D, Peng, P. Zhang, Q. Ke and H. Li. Hierarchical paired channel fusion network for street scene change detection. IEEE Transactions on Image Processing (TIP), 2021, 30: 55~67.
[21] D. Peng, Y. Lei, L. Liu, P. Zhang and J. Liu. Global and local texture randomization for synthetic-to-real semantic segmentation. IEEE Transactions on Image Processing (TIP), 2021.
[22] Y. Lei, Y. Liu, P. Zhang and L. Liu. Towards using count-level weak supervision for crowd counting. Pattern Recognition (PR), 2021, 109: 107616.
[23] P. Zhang, W. Liu, Y. Lei and H. Lu. Semantic scene labeling via deep nested level set. IEEE Transactions on Intelligent Transportation Systems (TITS), 2021.
[24] P. Zhang, W. Liu, Y. Zeng, Y. Lei and H. Lu. Looking for the detail and context devils: high-resolution salient object detection. IEEE Transactions on Image Processing (TIP), 2021, 30: 3204~3216.
[25] H. Liu, Y. Guo, Y. Ma, Y. Lei and G. Wen. Semantic context encoding for accurate 3D point cloud segmentation. IEEE Transactions on Multimedia (TMM), 2021, 23: 2045~2055.
[26] J. Peng, B. Tang, H. Jiang, Z. Li, Y Lei, T Lin and H. Li. Overcoming long-term catastrophic forgetting through adversarial neural pruning and synaptic consolidation. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021.
[27] Y. Liu, L. Liu, P. Wang, P. Zhang and Y. Lei. Semi-supervised crowd counting via self-training on surrogate tasks, in: Proceedings of 16th European Conference on Computer Vision (ECCV), Aug. 23-28, 2020, pp. 242~259.
[28] P. Zhang, W, Liu, Y. Lei, H. Wang and H. Lu. Deep multiphase level set for scene parsing. IEEE Transactions on Image Processing (TIP), 2020, 29: 4556~4567.
[29] Y Gou, Y Lei, L Liu, P Zhang and X. Peng. A dynamic parameter enhanced network for distant supervised relation extraction. Knowledge-Based Systems (KBS). 2020, 197: 105912.
[30] W. Liu, P. Zhang, Y. Lei, X. Huang, J. Yang and I Reid. A generalized framework for edge-preserving and structure-preserving image smoothing, in: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), Feb. 7-12, 2020, 34(07): pp.11620~11628.
[31] P. Zhang, W. Liu, D. Wang, Y. Lei, H, Wang and H. Lu. Non-rigid object tracking via deep multi-scale spatial-temporal discriminative saliency maps. Pattern Recognition (PR), 2020, 100: 107130.
[32] P. Zhang, W. Liu, Y. Lei, H. Wang and H. Lu. RAPNet: Residual atrous pyramid network for importance-aware street scene parsing. IEEE Transactions on Image Processing (TIP), 2020, 29: 5010~5021.
[33] S. Jiang, X. Lu, Y. Lei and L. Liu. Mask-aware networks for crowd counting. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). 2020, 30(9): 3119~3129.
[34] X. Peng, J. Feng, J.T. Zhou, Y. Lei and S. Yan. Deep Subspace Clustering. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). 2020, 31(12): 5509~5521.
[35] Y. Ma, Y. Guo, H. Liu, Y. Lei and G. Wen. Global context reasoning for semantic segmentation of 3D point clouds, in: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Mar. 1-5, 2020, pp.2931~2940.
[36] P. Zhang, W. Liu, Y. Lei, H. Lu and X. Yang. Cascaded context pyramid for full-resolution 3D semantic scene completion, in: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), Oct. 27-Nov. 2, 2019, pp.7801~7810. (Oral Presentation)
[37] Y. Lei, Z. Zhou, P. Zhang, Y. Guo, Z. Ma and L. Liu. Deep point-to-subspace metric learning for sketch-based 3D shape retrieval approach. Pattern Recognition (PR), 2019, 96: 106981.
[38] P. Zhang, W. Liu, H. Wang, Y. Lei and H. Lu. Deep gated attention networks for large-scale street-level scene segmentation. Pattern Recognition (PR), 2019, 88: 702~714.
[39] P. Zhang, W. Liu, Y. Lei and H. Lu. HyperFusion-Net: hyper-densely reflective feature fusion for salient object detection. Pattern Recognition (PR), 2019, 93: 521~533.
[40] C. Ma, Y. Guo, Y. Lei and W. An. Binary volumetric convolutional neural networks for 3D object recognition. IEEE Transactions on Instrumentation and Measurement (TIM), 2019, 68(1): 38~48.
近年来部分发明专利
1. 雷印杰，张宇琦，李勇成，刘洋，陈晗，王紫轩，薛榕融；基于视觉文本关系对齐的无监督三维视觉定位方法及系统，2023-10-19，202311339921.6.
2. 雷印杰，王紫轩，何鸿添，马浩统，张启洪，唐涛；基于渐进式点云-文本匹配的三维视觉定位方法及系统，2023-10-19，202311350239.7.
3. 雷印杰，王紫轩，邱子阳，唐涛，薛榕融，周礼亮，谢勋伟；一种基于三模态知识蒸馏的 3D 视觉问答方法，2023-10-19，202311358365.7.
4. 雷印杰，瞿诗义，马浩统，刘洋，李鹏，刘杰，张敏；一种 3D 开放词汇检测与密集字幕生成统一的建模方法；2023-10-19，202311358367.6.
5. 雷印杰，罗寒，汤君豪，张敏，李文骁，谢勋伟；一种基于关系感知的 3D 多模态预训练方法及系统，2023-10-19，202311358628.4.
6. 雷印杰，冯俊球，李鹏，刘春黔，刘杰，林浩然，周礼亮；一种基于关系和风格感知的多模态场景生成方法，2023-10-19，202311358550.6.
7. 雷印杰，肖玉玲，刘雅，何鸿添，唐振杰，谢轶；基于扩散模型的多模态菌落样本分类识别方法及系统，2023.10.09，202311294761.8.
8. 雷印杰，肖玉玲，刘雅，陈晗，唐振杰，谢轶；基于提示增量的多模态菌落样本细粒度分类方法及系统，2023-10-09，202311294768.X.
9. 雷印杰，顾杰，蒲明锋，唐俊，杨友波；一种耦合体系优化方法及系统，2023-06-14，202310706542.X.
10. 雷印杰，杨昱威；一种跨模态单样本三维点云分割方法，2022-01-25，ZL202210083858.3.
11. 雷印杰，彭铎；一种基于语义感知的跨域道路场景语义分割方法，2022-01-25，ZL202210083793.2.
12. 雷印杰，金钊；一种无监督的合成到真实LiDAR 点云场景流估计方法，2022-01-21，ZL202210070076.6.
13. 雷印杰，苟延杰；基于可学习多单词对打分器的方面级情感三元组抽取方法, 2021-06-28， ZL202110638892.8.
14. 雷印杰，苟延杰；基于记忆掩码自注意力网络的端到端任务型对话系统, 2021-06-08，ZL 202110638874.X.
15. 雷印杰，周子钦；一种基于多层级的高质量点云补全方法, 2022-06-24, ZL202110457260.1.
16. 雷印杰，彭铎；一种基于多模态联合学习的跨域语义分割方法, 2021-04-27, ZL202110457258.4.
17. 雷印杰，杨昱威；一种高精度通用的三维点云识别方法, 2022-09-02, ZL202110163721.4.
18. 雷印杰，金钊；一种大场景点云语义分割方法, 2022-07-12, ZL202110164458.0.
19. 雷印杰，彭铎；高泛化性的跨域道路场景语义分割方法和系统, 2022-06-24, ZL202110164478.8.
20. 雷印杰，刘砚，周子钦；统计模型的训练方法、统计方法、装置及存储介质, 2021-03-02, ZL201811322334.5.
21. 雷印杰，陈浩楠；一种鲁棒的作物病害诊断系统, 2020-09-22, ZL202011005483.6.
22. 雷印杰，陈浩楠；一种基于病斑相关性的植物病害诊断系统, 2022-06-03, ZL202011007107.0.
23. 雷印杰，周子钦，刘砚；模型训练方法、检索方法、装置、电子设备及存储介质, 2020-07-03, ZL201811292397.0.
