Yonglong Tian (original) (raw)
| Yonglong Tian email / scholar / twitter / github Based in Cambridge, I am an Artificial Intelligence researcher at Google DeepMind. My main research interests lie in the intersection of machine perception, generation and reasoning, mainly from the perspective of vision. Prior to that, I obtained my Ph.D. from MIT EECS in 2022, advised by Phillip Isola. Before that, I completed my M.Phil degree at CUHK, advised by Xiaoou Tang and Xiaogang Wang, and attended Tsinghua University for undergrad. |  |
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Recent 5 Papers
| Autoregressive Image Generation without Vector Quantization Tianhong Li, Yonglong Tian, He Li, Mingyang Deng, Kaiming He arXiv 2024 |
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| Self-Correcting Self-Consuming Loops for Generative Model Training Nate Gillman, Michael Freeman, Daksh Aggarwal, Chia-Hong Hsu, Calvin Luo, Yonglong Tian, Chen Sun ICML 2024 |
| Denoising Vision Transformers Jiawei Yang, Katie Z Luo, Jiefeng Li, Kilian Q Weinberger, Yonglong Tian, Yue Wang arXiv 2024 |
| Learning Vision from Models Rivals Learning Vision from Data Yonglong Tian*, Lijie Fan*, Kaifeng Chen, Dina Katabi, Dilip Krishnan, Phillip Isola CVPR 2024 |
| Scaling Laws of Synthetic Images for Model Training ... for Now Lijie Fan*, Kaifeng Chen, Dilip Krishnan, Dina Katabi, Phillip Isola, Yonglong Tian*, CVPR 2024 |