Yibing Song 宋奕兵 Researcher Tencent AI Lab Email: yibingsong.cv at gmail dot com

Biography

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).

Awards

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]