Yibing Song

宋奕兵

DAMO Academy
Alibaba Group

Email: yibingsong.cv at gmail dot com

Biography


I am a staff scientist / research manager at Alibaba DAMO Academy. Previously, I was a faculty member in Fudan University, and a senior researcher in Tencent AI Lab. I got my PhD/Mphil degrees from City University of Hong Kong during which I visited Adobe Research and UC Merced, and got my bachelor degree from University of Science and Technology of China. Currently, my research interest resides in multi-modality AI, from both model-centric and data-centric perspectives, with applications centered around computer vision. I have been elected among Top 2% Scientists worldwide by Stanford University.


Professional Activities


Area Chairs / Meta Reviewers: CVPR (2024,2023), ICCV 2023, NeurIPS (2024,2023,2022), ICML (2024,2023), ICLR (2024,2023,2022).

Outstanding / Top Reviewers: CVPR (2020,2019,2018), ECCV 2022, NeurIPS 2019.


Selected Publications  


InstructDET: Diversifying Referring Object Detection with Generalized Instructions
Ronghao Dang, Jiangyan Feng, Haodong Zhang, Chongjian Ge, Lin Song, Lijun Gong, Chengju Liu, Qijun Chen, Feng Zhu, Rui Zhao, and Yibing Song,
International Conference on Learning Representations (ICLR) 2024
Paper / Project
DiffusionDet: Diffusion Model for Object Detection
Shoufa Chen, Peize Sun, Yibing Song, and Ping Luo,
IEEE/CVF International Conference on Computer Vision (ICCV) 2023 (Best Paper Nominee)
Paper / Project
VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
Zhan Tong, Yibing Song, Jue Wang, and Limin Wang,
Advances in Neural Information Processing Systems (NeurIPS) 2022 (Spotlight)
Paper / Project / Hugging Face Repo
Ranked 8th in most influential NIPS 2022 papers / Ranked 39th in most cited 2022 AI papers