Tao Chen 陈涛
Director of the Embedded Deep Learning and Visual Analysis Lab
Office: Room C5029,Interdisciplinary Building No. 2, Songhu Road 2005,
Dr. Tao Chen, the PI of the laboratory,received his Ph.D. from Nanyang Technological University in Singapore in 2012. At the beginning of 2018 , he was selected into the National High Level Oversea Talent Plan , and then he joined Fudan University as a tenure-track Professor . Before joining Fudan , he worked at the top research institu- tions such as the Singapore Science and Technology Bureau, the Singapore Intelligent Robot Laboratory , and the Singapore Institute for Infocomm Research . He also has undertaken and participated in a series of projects from the Singapore government and enterprises. In addition, Dr. T. Chen has worked on the research and development of AI chipsets at the AI lab of Huawei Asia Pacific Research Institute from 2017 to 2019 , and have a number of AI products . To date, Dr. Tao Chen has published more than 40 academic papers in CCF Class A or JCR District One publications such as IEEE T-PAMI/T-IP/T-CYB/ACM’MM, and has granted a US patent.
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2022.6 We have two papers, with one on image classification and another on Efficient Image Classifier Search accepted by ACM MM, 2022.
2022.3 We have one paper on "Beta-decay regularization for differentiable architecture search", Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR oral), in press, 2022.
2022.1 We have one paper on "Sample-centric Feature Generation for Semi-supervised Few-shot Learning", accepted by IEEE Transactions on Image Processing (TIP), 2022.
2021.12 We have one paper on "What Makes for Effective Few-shot Point Cloud Classification", accepted by IEEE Winter Conference on Applications of Computer Vision (WACV), 2022.
2021.11 We have two papers, with one on point cloud instance segmentation accepted by IEEE T-PAMI 2021 and another on hyperspectral image classification accepted by IEEE T-GRS 2021.
2021.10 We have one paper on “Curriculum-style Local-to-global Adaptation for Cross-domain Remote Sensing Image Segmentation”, accepted by IEEE T-GRS 2021.
2021. 09 We have one paper on “Joint Distribution Alignment via Adversarial Learning for Domain Adaptive Object Detection”, accepted by IEEE T-MM 2021.
2021. 07 We have one paper on “Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification”, accepted by ACM’MM 2021.
2021.05 We have two papers,with one on hair synthesis and editing GAN and another on 3D point cloud segmentation, accepted by IEEE ICIP 2021.
2021.03 We have one paper on “Densely Semantic Enhancement for Domain Adaptive Region-free Detectors”, accepted for publication by IEEE T-CSVT, 2021.
2021.02 We have one paper on “EADNET: Efficient Asymmetric Dilated Network For Semantic Segmentation” which achives fastest SOTA semantic segmentation, accepted by IEEE ICASSP, 2021.
2020.11 We have one paper on “Coarse-to-Fine Gaze Redirection with Numerical and Pictorial Guidance”, accepted by IEEE Winter Conference on Applications of Computer Vision (WACV), 2021.
2020.10 We have one paper on “M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging” accepted by IEEE Journal of Biomedical and Health Informatics (JBHI) .
2020.07 We have one paper on “Dynamic Pedestrain Intrusion Detection” accepted by ACM Conference on Multimedia (ACM’ MM) 2020.
2020.06 We have one paper on “Robust Scene Text Spotting” accepted by Journal of Visual Communication and Image Representation (JVCIR) .
2020.02 We have one paper on “Cascade EF-GAN for Facial Expression Editing” accepted by IEEE CVPR 2020 (Oral)，CCF A.
2020.01 We have one paper on “Fine-grained Facial Expression Analysis” accepted by Neurocomputing.
2019.07 We have one paper on “Compositional GAN for Facial Expression Recognition” accepted by ACM’MM, CCF A.
2019.03: We have one paper on “Semi-supervised Hierarchical CNN learning” published by IEEE T-IP, CCF A.
2019.02: Dr. Chen left Singapore and jonined Fudan as a Professor.