范佳媛 - 复旦大学 - 工程与应用技术研究院

个人简介

教育工作经历 2008年8月-2013年12月，南洋理工大学，博士 2014年1月-2019年2月，新加坡资讯通信研究院，研究员获奖情况 2019，上海市科委，浦江人才计划 2020，上海市特聘专家

研究领域

目前主要关于计算机视觉的研究方向和应用，具体如下：目标识别和图像分析智能感知与信息处理自监督学习和对抗学习

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

M. Zhu, J. Fan, Q. Yang, T. Chen, SC-EADNet: A Self-supervised Contrastive Efficient Asymmetric Dilated Network for Hyperspectral Image Classification, IEEE Trans. on Geoscience and Remote Sensing (TGRS), 2021 Y. Liao, H. Zhu, Y. Zhang, C. Ye, T. Chen, J. Fan, Point Cloud Instance Segmentation with Semi-supervised Bounding-Box Mining, IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2021 B. Zhang, T. Chen, B. Wang, X. Wu, L. Zhang, J. Fan, Densely Semantic Enhancement for Domain Adaptive Region-free Detectors, IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2021 Y. Wu, B. Zhang, G Yu, W. Zhang, B. Wang, T. Chen, J. Fan，Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification，Proceedings of the 29th ACM International Conference on Multimedia (ACM MM), 2021 W. Li, J. Fan, and Y. Fu, Global-to-Local Dynamic Feature Aggregation for Unsupervised Person Re-Identification, IEEE International Conference on Multimedia and Expo (ICME), 2021 W. Fan, J. Fan, G. Yu, B. Fu and T. Chen, HSEGAN: Hair Synthesis and Editing Using Structure-adaptive Normalization on Generative Adversarial Network, IEEE International Conference on Image Processing (ICIP), 2021 Y. Liao, H. Zhu, T. Chen and J. Fan, SPCR: Semi-supervised Point Instance Segmentation with Perturbation Consistency Regularization, IEEE International Conference on Image Processing (ICIP), 2021 Q. Yang, T. Chen, J. Fan, Y. Lu, C. Zuo and Q. Chi, EADNet: Efficient Asymmetric Dilated Network for Semantic Segmentation, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021 J. Chen, J. Zhang, E. Sangineto, T. Chen. J. Fan and N. Sebe, Coarse-to-Fine Gaze Redirection with Numerical and Pictorial Guidance, Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021 J. Fan, T. Chen and F. Zhou, BURSTS: A Bottom-Up Approach for Robust Spotting of Texts in Scenes, Journal of Visual Communication and Image Representation, 2020 J. Sun, J. Chen, T. Chen, J. Fan, S. He, PIDNet: An Efficient Network for Dynamic Pedestrian Intrusion Detection, Proceedings of the 28th ACM International Conference on Multimedia (ACM MM), 2020 T. Chen, S. Lu, J. Fan, SS-HCNN: Semi-Supervised Hierarchical Convolutional Neural Network for Image Classification, IEEE Trans. on Image Processing (TIP), 2019, 28(5): 2389-2398 J. Fan, T. Chen, S. Lu, Superpixel Guided Deep-Sparse-Representation Learning for Hyperspectral Image Classification, IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2018, 28(11): 3163-3173 T. Chen, S. Lu, J. Fan, S-CNN: Subcategory-Aware Convolutional Networks for Object Detection, IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2018, 40(10): 2522-2528 J. Fan, T. Chen, S. Lu, Unsupervised Feature Learning for Land-Use Scene Recognition, IEEE Trans. on Geoscience and Remote Sensing (TGRS), 2017, 55(4): 2250-2261 J. Fan, T. Chen，Alex Kot, EXIF-white Balance Recognition for Image Forensic Analysis, Multidimensional Systems and Signal Processing, 2017, 28(3): 795-815

学术兼职

IEEE TCSVT 审稿人 IEEE TGRS 审稿人 CVPR 审稿人