研究室简介

       多媒体研究室(Multimedia Lab)是大连理工大学-立命馆大学国际信息与软件学院下属的专业研究室。

       实验室以计算机视觉、机器学习、人工智能为基础，面向国际前沿和互联网、智能制造、国防等国家重大需求，开展多媒体内容搜索与安全、三维场景感知方面的研究，具体研究方向包括：图像/视频理解与检索、文字检测与识别、双目视觉与3D感知、SLAM（机器人定位与建图）、小样本及迁移学习理论等。

       实验室坚持理论研究和实际应用相结合，科研经费充足，可提供丰富项目实践机会，同时与国外内科研机构、计算机视觉业界顶级公司保持良好的合作关系。以人才培养为本，坚持每周双会（大组讨论会、导师学生一对一讨论）制度，鼓励学生参与各种学术活动，同时开展各类集体活动，营造张驰和谐的研究和学习环境，全面提升学生素养。

       热忱欢迎博士后、博士生、保研学生、优秀本科生等各类青年才俊加入我们！

近期代表性论文：

1.        S. Wang, J. Chang, Z. Wang, H. Li, W. Ouyang and Q. Tian. Fine-grained Retrieval Prompt Tuning. AAAI Conference on Artificial Intelligence (AAAI), 2023.  (Oral)

2.        S. Wang, J. Chang, H. Li, Z. Wang, W. Ouyang, Q. Tian. Open-Set Fine-Grained Retrieval via Prompting Vision-Language Evaluator. Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

3.        X. Ma, Y. Wang, Y. Zhang, Z. Xia, Y Meng, Z. Wang, H. Li and W. Ouyang. Towards Fair and Comprehensive Comparisons for Image-Based 3D Object Detection. International Conference on Computer Vision (ICCV), 2023.

4.        B. Sun, X. Ye, Z. Wang, H. Li, Z. Wang, Exploring Coarse-to-Fine Action Token Localization and Interaction for Fine-grained Video Action Recognition, ACMMM 2023. (CCF-A)

5.        J. Shi, B. Sun, X. Ye, Z. Wang, X. Luo, J. Liu, H. Gao, H. Li:Semantic decomposition Network with Contrastive and Structural Constraints for Dental Plaque Segmentation, IEEE Trans. Medical Imaging (TMI), 2023.

6.        W. Wang, H. Li, Z. Ding, F. Nie, J. Chen, X. Dong, Z. Wang. Rethinking Maximum Mean Discrepancy for Visual Domain Adaptation. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023.

7.        S. Wang, Z. Wang, H. Li and W. Ouyang. Category-Specific Nuance Exploration Network for Fine-Grained Object Retrieval. Conference on Artificial Intelligence (AAAI), 2022.

8.        B. Sun, X. Ye, T. Yan, Z. Wang, H. Li and Z. Wang. “Fine-grained Action Recognition with Robust Motion Representation Decoupling and Concentration.  Proceedings of the 30th ACM International Conference on Multimedia (2022)

9.        S. Wang, J. Chang, Z. Wang, H. Li, W. Ouyang and Q. Tian. Fine-grained Retrieval Prompt Tuning. AAAI Conference on Artificial Intelligence (AAAI), 2022.

10.     Z. Chong, X. Ma, H. Zhang, Y. Yue, H. Li, Z. Wang and W. Ouyang. MonoDistill: Learning Spatial Features for Monocular 3D Object Detection. International Conference on Learning Representations (ICLR) (2022). (CCF-A)