明安龍

明安龍

明安龍,獲武漢大學計算機工學學士學位與經濟法法學學士學位;獲北京郵電大學碩士和博士學位;曾博士後訪問UCLA。現任北京郵電大學教授、博導,主要研究方向:視覺感知、計算攝影。

基本介紹

  • 中文名:明安龍
  • 國籍中國
  • 畢業院校:北京郵電大學
  • 學位/學歷:博士
  • 專業方向:視覺感知,計算攝影 
近期代表論文,

近期代表論文

[1] Wenteng Liang, Feng Xue, Yihao Liu, Guofeng Zhong and Anlong Ming*, Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. 註:計算機視覺領域頂會
[2] Chunxiao Li, Xuejing Kang, Zhifeng Zhang, Anlong Ming*, SWBNet: A Stable White Balance Network for sRGB images, in Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), 2023. 註:人工智慧領域頂會
[3] Pei Zhou, Xuejing Kang and Anlong Ming, Vine Spread for Superpixel Segmentation, IEEE Transactions on Image Processing (TIP), vol. 32, pp. 878-891, 2023. 註:圖像處理領域頂刊
[4] Shuai He, Yongchang Zhang, Dongxiang Jiang, Rui Xie, Anlong Ming*, Rethinking Image Aesthetics Assessment: Models, Datasets and Benchmarks, in Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI), 2022. 註:人工智慧領域頂會
[5] Zhifeng Zhang, Xuejing Kang, Anlong Ming*, Domain Adversarial Learning for Color Constancy, in Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI), 2022. 註:人工智慧領域頂會
[6] Yuxiang Tang, Xuejing Kang, Chunxiao Li, Zhaowen Lin, Anlong Ming*, Transfer Learning for Color Constancy via Statistic Perspective, in Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI), 2022. 註:人工智慧領域頂會
[7] Lei zhu, Xuejing Kang and Anlong Ming, Explored Normalized Cut with Random Walk Refining Term for Image Segmentation, IEEE Transactions on Image Processing (TIP), vol. 31, pp. 2893-2906, 2022. 註:圖像處理領域頂刊
[8] Panhe Feng, Qi She, Lei Zhu, Jiaxin Li, Lin Zhang, Zijian Feng, Changhu Wang, Chunpeng Li, Xuejing Kang, Anlong Ming , MT-ORL: Multi-Task Occlusion Relationship Learning, in Proceedings of International Conference on Computer Vision (ICCV), 2021. 註:計算機視覺領域頂會
[9] Feng Xue, Anlong Ming, Menghan Zhou, Yu Zhou, Tiny Obstacle Discovery by Occlusion-aware Multi-layer Regression, IEEE Transactions on Image Processing (TIP), vol. 29, pp. 9373-9386, 2020. 註:圖像處理領域頂刊
[10] Lei zhu, Xuejing Kang and Anlong Ming*, Dynamic Random Walk for Superpixel Segmentation, IEEE Transactions on Image Processing (TIP), vol. 29, pp. 3871-3884, 2020. 註:圖像處理領域頂刊

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