副教授
您当前所在位置是: 首页 >> 师资队伍 >> 副教授 >> 正文
赵斌 副教授
 

个人简介

                                    

赵斌:副教授

学术主页:[谷歌学术] | [DBLP]

研究方向:稳定探测、多模态认知计算

联系地址:陕西省西安市碑林区友谊西路127号西北工业大学

邮政编码:710072

电子邮箱:bin@nwpu.edu.cn

个人简介:关注人工智能的软硬件一体化发展,聚焦稳定成像与精准感知研究,致力于利用物理先验、多传感集成、移动平台等,提高智能体对环境的感知与认知能力。长期欢迎对计算机视觉、光学成像、数学、物理等感兴趣的本科生和硕博士研究生前来实习和交流。

 

教育背景

2015-2020西北工业大学计算机科学与技术博士
2011-2015西北工业大学数学与应用数学本科
 

工作经历

2020-至今西北工业大学特聘学者
2020-至今西安电子科技大学博士后
 

代表工作

  1. 李学龙* and 赵斌, “视频萃取,” 中国科学: 信息科学, 2021, 51(5): 695-734. [BibTeX] | [PDF]

  2. Y. Wang, Z. Wang, B. Zhao*, D. Wang, M. Chen, X. Li*, “Propagate And Calibrate: Real-time Passive Non-line-of-sight Tracking,” IEEE Conference on Computer Vision and Pattern Recognition, 2023. [BibTeX] | [PDF] | (CCF A类)

  3. H. Si#, B. Zhao#, D. Wang, Y. Gao, M. Chen, Z. Wang, X. Li*, “Fully Self-Supervised Depth Estimation from Defocus Clue,” IEEE Conference on Computer Vision and Pattern Recognition, 2023. [BibTeX] | [PDF] | (CCF A类)

  4. W. Li, L. Zhang, D. Wang, B. Zhao*, Z. Wang, M. Chen, B. Zhang, Z. Wang, L. Bo, X. Li*, “One-Shot Talking Head Synthesis with Subject-Agnostic and Deformable Neural Radiance Field,” IEEE Conference on Computer Vision and Pattern Recognition, 2023. [BibTeX] | [PDF] | (CCF A类)

  5. R. Zhang, Z. Guo, P. Gao, R. Fang, B. Zhao, D. Wang, Y. Qiao, H. Li, “Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training”, Advances in Neural Information Processing Systems, 2023. [BibTeX] | [PDF] | (CCF A类)

  6. B. Zhao, H. Li, X. Lu, and X. Li*, "Reconstructive Sequence-Graph Network for Video Summarization," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 5, pp. 2793-2801, 2022. [BibTeX] | [PDF] | (SCI一区IF: 24.314)

  7. B. Zhao, X. Li, and X. Lu, "CAM-RNN: Co-Attention Model based RNN for Video Captioning," IEEE Transactions on Image Processing, vol. 28, no. 11, pp. 5552-5565, 2019. [BibTeX] | [PDF] | (SCI一区IF: 11.041)

  8. B. Zhao, X. Li, and X. Lu, "Property-Constrained Dual Learning for Video Summarization," IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 10, pp. 3989-4000, 2020. [BibTeX] | [PDF] | (SCI一区IF: 10.453)

  9. B. Zhao, X. Li, and X. Lu, "HSA-RNN: Hierarchical Structure-Adaptive RNN for Video Summarization," IEEE Conference on Computer Vision and Pattern Recognition, 2018, pp. 7405-7414. [BibTeX] | [PDF] | (CCF A类)

  10. B. Zhao, X. Li, and X. Lu, "Hierarchical Recurrent Neural Network for Video Summarization," ACM International Conference on Multimedia, 2017, pp. 863-871. [BibTeX] | [PDF] | (CCF A类)

  11. B. Zhao, X. Li, and X. Lu, "Video Captioning with Tube Features," IJCAI, 2018, pp. 1177-1183. [BibTeX] | [PDF] | (CCF A类)

  12. B. Zhao, X. Li, and X. Lu, "TTH-RNN: Tensor-Train Hierarchical Recurrent Neural Network for Video Summarization," IEEE Transactions on Industrial Electronics, vol. 68, no. 4, pp. 3629-3637, 2020. [BibTeX] | [PDF] | (SCI一区IF: 7.515)

  13. B. Zhao, M. Gong, and X. Li, "AudioVisual Video Summarization," IEEE Transactions on Neural Networks and Learning Systems, 2021. [BibTeX] | [PDF] | (SCI一区IF: 10.453)

  14. B. Zhao, X. Li, "EA-Net: Edge-Aware Network for Flow-based Video Frame Interpolation," IEEE Transactions on Neural Networks and Learning Systems, 2022. [BibTeX] | [PDF] | (SCI一区, IF: 10.453)

  15. B. Zhao, L. Hua, X. Li, X. Lu, and Z. Wang, "Weather Recognition via Classification Labels and Weather-Cue Maps," Pattern Recognition, vol. 95, pp. 272-284, 2019. [BibTeX] | [PDF] | (SCI一区, IF: 8.518)

  16. X. Li, B. Zhao, and X. Lu, "MAM-RNN: Multi-level Attention Model Based RNN for Video Captioning," IJCAI, 2017, pp. 2208-2214. [BibTeX] | [PDF] | (CCF A类)

  17. X. Li, B. Zhao, and X. Lu, "A General Framework for Edited Video and Raw Video Summarization," IEEE Transactions on Image Processing, vol. 26, no. 8, pp. 3652-3664, 2017. [BibTeX] | [PDF] | (SCI一区, IF: 11.041)

  18. X. Li, B. Zhao, and X. Lu, "Key Frame Extraction in the Summary Space," IEEE Transactions on Cybernetics, vol. 48, no. 6, pp. 1923-1934, 2017. [BibTeX] | [PDF] | (SCI一区, IF: 19.118)

  19. H. Ning, B. Zhao, and Y. Yuan, "Semantics-Consistent Representation Learning for Remote Sensing Image–Voice Retrieval," IEEE Transactions on Geoscience and Remote Sensing, DOI:10.1109/TGRS.2021.3060705, 2021. [BibTeX] | [PDF] | (SCI一区,IF: 8.125)

  20. X. Li, G. Li, and B. Zhao, "Low-Light Hyperspectral Image Enhancement," IEEE Transactions on Geoscience and Remote Sensing, 2022. [BibTeX] | [PDF] | (SCI一区IF: 8.125)

  21. Z. Ren, B. Zhao, W. Xu, P. Han, and Y. Jiao, "A Convolution Based Path Integration Method Approach to the Damped Parametric Pendulum under Different Random Noise Excitations," Mechanical Systems and Signal Processing, vol.157, 2021. [BibTeX] | [PDF] | (SCI一区IF: 8.934)

  22. X. Li, C. Li, K. Kou, and B. Zhao, “Weather Translation via Weather-cue Transferring”, IEEE Transactions on Neural Networks and Learning Systems, 2022.[BibTeX] | [PDF] |(SCI一区IF: 10.453)

  23. H. Ning, B. Zhao, Z. Hu, L. He, and E. Pei, “Audio-visual Collaborative Representation Learning for Dynamic Saliency Prediction”, Knowledge-Based Systems, 109675, 2022. [BibTeX] | [PDF] |(SCI一区, IF: 8.139)

 

科研项目

  • 国家自然科学基金委青年科学基金项目,认知驱动的视频多模态信息萃取研究,20万元,主持。

  • 中国博士后科学基金特别资助(站前)项目,光学影像多模态信息智能解译的关键基础问题研究,18万元,主持。

  • 陕西省自然科学基础研究计划项目,基于多模态信息联合编码的海量视频层级解译研究,3万元,主持。

  • 国家重点研发计划项目,恶劣环境下视觉信息的主动探测与感知,参与。

  • 国家重点研发计划项目,定向到通用推理的泛化机制,参与。

荣誉获奖

  • 试飞环境下多模态传感器故障分析关键技术与应用, 排名9/15, 中国航空学会, 科技进步, 省部一等奖, 2022.

  • 全国光学工程学科优秀博士学位论文奖, 中国光学工程学会, 国家一级学会优博, 2021.

  • 陕西省优秀博士学位论文奖, 陕西省教育厅, 省优博, 2022.

  • 西安市碑林区自强不息好青年, 碑林区团委, 2017.

  • 2021年全国光学工程学科优秀博士学位论文奖

  • 2020年西北工业大学优秀博士毕业生

  • 2018-2019连续两年获得博士研究生国家奖学金

学术活动

  • 多次在IEEE CVPR, IJCAI等相关研究领域国际顶级会议做口头报告。

  • IEEE Member、AAAI Member。

  • 国际会议SPC/TPC/PC/Reviewer:IEEE CVPR/ICCV/IJCAI/AAAI/ACM MM/ICME/ICIP等30余个国际知名会议。

  • 期刊审稿人:IEEE TPAMI/TNNLS/TCYB/TIP/TMI, Pattern Recognition等20余个国际高水平期刊。

其他信息

  • 欢迎有兴趣开展光学成像、计算机视觉和认知计算等方面研究的本科生同学提前进入实验室。对于自驱力强的同学,可以提供学术资源进行科研训练,请联系bin@nwpu.edu.cn。

  • 更新时间:2021年10月25日