Ming Sun

(孙明)
BaiDu IDL researcher, From 2017.7 to now
BaiDu IDL intern , From 2016.11 to 2017.6
Bytedance (TouTiao) AI Lab intern, From 2016.5 to 2016.10
Email: m_sunming@163.com

Short Bio

I am working at BaiDu IDL with Feng Zhou now. Fortunately, I was supervised by prefessor JuFeng Yang and cooperated with MingMing Cheng. And received the Master degree from Nankai University in 2017.

My interests include fine-grained , video classification, human crowd counting and human pose estimation domain, especially focus on metric learning, attention model, network design and slimming.

News:

Publication

Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition
Ming Sun, Yuchen Yuan, Feng Zhou, Errui Ding
ECCV, 2018, Oral .

Compact Generalized Non-local Network
Kaiyu Yue, Ming Sun, Yuchen Yuan, Errui Ding,Fuxin Xu, Feng Zhou
NIPS, 2018.

Visual Sentiment Prediction based on Automatic Discovery of Affective Regions
Jufeng Yang, Dongyu She, Ming Sun, Ming-Ming Cheng, Paul L. Rosin, Liang Wang
IEEE Transactions on Multimedia (TMM), 2018.

Learning Visual Sentiment Distributions via Augmented Conditional Probability Neural Network
Jufeng Yang, Ming Sun, Xiaoxiao Sun
AAAI Conference on Artificial Intelligence (AAAI), 2017.
Dataset is available!

Joint Image Emotion Classification and Distribution Learning via Deep Convolutional Neural Network
Jufeng Yang, Dongyu She, Ming Sun
International Joint Conference on Artificial Intelligence (IJCAI), Oral ,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.
Project Homepage

Shape-Guided Segmentation for Fine-Grained Visual Categorization
Ming Sun, Jufeng Yang, Bo Sun, Kai Wang
IEEE International Conference on Multimedia and Expo (ICME), 2016, Oral .

Discovering Affective Regions in Deep Convolutional Neural Networks for Visual Sentiment Prediction
Ming Sun, Jufeng Yang, Kai Wang, Hui Shen
IEEE International Conference on Multimedia and Expo (ICME), 2016.