Yibing Song


Tencent AI Lab

Email: yibingsong.cv at gmail dot com


Yibing Song currently works for Tencent. He has obtained PhD/Mphil degrees from City University of Hong Kong in 2018/2014 and a bachelor degree from University of Science and Technology of China in 2011. During graduate study, he has interned in Adobe Research, San Jose and visited UC Merced. Yibing Song is a computer vision researcher, focusing on visual recognition (i.e., image and video classification, object detection and tracking) and visual generation (i.e., low-level vision and image processing).


Outstanding Reviewer: CVPR 2018, CVPR 2019, CVPR 2020.

3 Representative Publications   [More] [Citations]

Unsupervised Deep Tracking,
Ning Wang, Yibing Song, Chao Ma, Wengang Zhou, Wei Liu, and Houqiang Li,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019
[PDF|Project Page]
Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations,
Hongyu Liu, Bin Jiang, Yibing Song, Wei Huang, and Chao Yang,
European Conference on Computer Vision (ECCV) 2020 (Oral)
[PDF|Project Page]
VITAL: VIsual Tracking via Adversarial Learning,
Yibing Song, Chao Ma, Xiaohe Wu, Lijun Gong, Linchao Bao, Wangmeng Zuo, Chunhua Shen, Rynson Lau, and Ming-Hsuan Yang,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018 (Spotlight)
[PDF|Project Page]