董姜鑫

董姜鑫，南京理工大学教授，曾任德国马克斯普朗克研究所信息所博士后研究员。在国际权威期刊和会议上发表论文10余篇，包括IEEE TPAMI，IEEE TIP，IEEE CVPR，IEEE ICCV，NeurIPS，ECCV等。担任计算机视觉顶级期刊IEEE TPAMI, IEEE TIP和计算机视觉顶级国际会议IEEE CVPR, ICCV, ECCV, NeurIPS等的审稿人。研究兴趣包括计算机视觉、机器学习等。[[English]]

★ 部分论文

1. Jiangxin Dong, Stefan Roth, and Bernt Schiele, “Learning Spatially-Variant MAP Models for Non-blind Image Deblurring”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. (CCF A类会议)

2. Jiangxin Dong and Jinshan Pan, “Deep Outlier Handling for Image Deblurring”, IEEE Transactions on Image Processing (IEEE TIP), 30:1799–1811, 2021. (CCF A类期刊)

3. Jiangxin Dong, Stefan Roth, and Bernt Schiele, “Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring”, Advances in Neural Information Processing Systems (NeurIPS), 1048–1059, 2020. (CCF A类会议, Oral)

4. Jiangxin Dong and Jinshan Pan, “Physics-Based Feature Dehazing Networks”, European Conference on Computer Vision (ECCV), 188–204, 2020. (CCF B类会议)

5. Jiangxin Dong, Jinshan Pan, Deqing Sun, Zhixun Su, and Ming-Hsuan Yang, “Learning Data Terms for Non-blind Deblurring”, European Conference on Computer Vision (ECCV), 777–792, 2018. (CCF B类会议)

6. Jiangxin Dong, Jinshan Pan, Zhixun Su, and Ming-Hsuan Yang, “Blind Image Deblurring with Outlier Handling”, IEEE International Conference on Computer Vision (ICCV), 2497–2505, 2017. (CCF A类会议)

★ 奖励

2020 Lise Meitner Award Postdoctoral Fellowship
2020 ACM China 大连分会优秀博士论文奖