 |
柯炜 |
2020.04月至今：西安交通大学，软件学院，副教授
2018.03-2020.03：美国卡耐基梅陇大学，机器人研究所，博士后
2011.09-2018.07：中国科学院大学，电子学院，博士
2015.10-2016.10：芬兰奥卢大学，CMVS，联合培养博士
2007.09-2011.07：北京航空航天大学，自动化科学与电气工程学院，学士
主持国家自然科学基金面上项目、青年项目、重点研发子课题、十四五预研分承研课题、为-教育部“智能基座”教改项目、华为众智等课题10余项。
1.视觉表征与目标感知上下游模型适配方法研究，2024.01-2027.12，NSFC面上项目，62376209
2. 复杂视觉场景中共生行为识别技术研究，2021.01-2023.12，NSFC青年基金项目，62006182
在CVPR，ECCV，IEEE Transactions等知名期刊和会议上共（合作）发表论文30余篇，其中包括CVPR Oral论文2篇(接受率分别为2.6%和5.6%)。
[1]Y. Wu, T. Zhang*, W. Ke, S. Süsstrunk, M. Salzmann. Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (CCF-A会议，计算机视觉顶级会议)
[2]C. Qiu#, T. Zhang#, Y. Wu, W. Ke*, S. Süsstrunk, M. Salzmann. Mind Your Augmentation: The Key to Decoupling Dense Self-Supervised Learning. International Conference on Learning and Representation (ICLR), 2024. (机器学习顶级会议)
[3]Y. Wu, T. Zhang, W. Ke*, S. Süsstrunk, M. Salzmann. Spatiotemporal Self-supervised Learning for Point Clouds in the Wild. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. (CCF-A会议，计算机视觉顶级会议)
[4]Q. Liu#, H. Liu#, W. Ke*, Y. Liang*. Automated Lesion Segmentation in Fundus Images with Many-to-Many Reassembly of Features. Pattern Recognition, 2022. (计算机视觉顶级期刊，中科院一区，IF：8.0)
[5]Z. Zhang#, Y. Zhu#, J. Liu, X. Liang, ,W.Ke*,.CoupAlign: Coupling Word-Pixel with Sentence-Mask Alignments for Referring Image Segmentation. NeurIPS, 2022. (CCF-A会议，机器学习顶级会议)
[6]T. Zhang, C. Qiu, W.Ke*, S. Süsstrunk, M. Salzmann. Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (CCF-A会议，计算机视觉顶级会议)
[7] W. Ke*, T. Zhang#, Z, Huang, Q. Ye*, J. Liu, and D. Huang. Multiple Anchor Learning for Visual Object Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. (CCF-A会议，计算机视觉顶级会议)
[8]W.Ke*, J, Chen, J. Jiao, G. Zhao, and Q. Ye*. SRN: Side-output Residual Network for Object Reflectional Symmetry Detection and Beyond. IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2020. (人工智能顶级期刊，中科院一区，IF: 14.255)
[9]Q. Ye, T. Zhang, and W. Ke*. Progressive Latent Models for Self-learning Scene-specific Pedestrian Detectors. IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2020. (智能交通领域的顶级期刊，中科院一区，IF：8.5)
[10]柯炜，伍彦豪，张同。一种自动驾驶场景用大规模自监督预训练学习方法及系统, 202310382763。
