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雷印杰

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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。201312月起在四川大学电子信息学院从事教学和科研工作,20179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,2024-012027-12260万元,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,2022-122025-11320万元,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,2023-012026-1255万元,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,2022-012023-01148万元,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,2021-122024-11115万元,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,2020-112021-11108万元,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,2023-10-19202311339921.6.

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,2023-10-19202311350239.7.

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,2023-10-19202311358365.7.

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;2023-10-19202311358367.6.

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,2023-10-19202311358628.4.

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,2023-10-19202311358550.6.

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,2023.10.09202311294761.8.

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,2023-10-09202311294768.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,2023-06-14202310706542.X.

10.    雷印杰,杨昱威;一种跨模态单样本三维点云分割方法,2022-01-25ZL202210083858.3.

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,2022-01-25ZL202210083793.2.

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,2022-01-21ZL202210070076.6.

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, 2021-06-08ZL 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.