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Xiaoxiao Sun (孙晓晓)

About Me

I am Xiaoxiao Sun, I will be a Ph.D. student and study at the Singapore University of Technology and Design (SUTD) under the supervision of Prof. Liang Zheng. I received my M.Sc from College of Computer and Control Engineering, Nankai University (NKU) in 2018, supervised by Prof. Jufeng Yang. My research interests include Computer Vision and Deep Learning.

I am lucky to have opportunities to work with Prof. Ming-Ming Cheng (Nankai University), Prof. Yu-Kun Lai and Prof. Paul Rosin (Cardiff University),

Education

Recent News

  • One paper was accepted to ACM MM

    Historical Context-based Style Classification of Painting Images via Label Distribution Learning

  • One paper accepted to TIP

    Recognition from Web Data: A Progressive Filtering Approach.
    [Paper]

  • Received Excellent Graduate Awards
  • One paper accepted to CVPR 2018

    Clinical Skin Lesion Diagnosis using Representations Inspired by Dermatologist Criteria.
    [Paper]

  • Received National Scholarship for Graduate Students

Publications

Recognition from Web Data: A Progressive Filtering Approach

Jufeng Yang, Xiaoxiao Sun, Yu-Kun Lai, Liang Zheng, Ming-Ming Cheng

IEEE Transactions on Image Processing (TIP), 2018

Historical Context-based Style Classification of Painting Images via Label Distribution Learning

Jufeng Yang, Liyi Chen, Le Zhang, Xiaoxiao Sun, Dongyu She, Shao-Ping Lu, Ming-Ming Cheng

ACM International Conference on Multimedia (ACM MM), 2018

Clinical Skin Lesion Diagnosis using Representations Inspired by Dermatologist Criteria

Jufeng Yang, Xiaoxiao Sun, Jie Liang, Paul L. Rosin

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018

Learning Visual Sentiment Distributions via Augmented Conditional Probability Neural Network

Jufeng Yang, Ming Sun, Xiaoxiao Sun

AAAI Conference on Artificial Intelligence (AAAI), 2017

A Benchmark for Automatic Visual Classification of Clinical Skin Disease Images

Xiaoxiao Sun, Jufeng Yang, Ming Sun, Kai Wang

European Conference on Computer Vision (ECCV), 2016