Ruifei He

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Optical Flow Estimation

Semantic Segmentation

Diffusion Model

Generative Model

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Ruifei He, Chuhui Xue, Haoru Tan, Wenqing Zhang, Yingchen Yu, Song Bai, Xiaojuan Qi
Debiasing Text-to-Image Diffusion Models. CoRR (2024)
Hai Wu, Ruifei He, Haoru Tan, Xiaojuan Qi, Kaibin Huang
Vertical Layering of Quantized Neural Networks for Heterogeneous Inference. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Ruifei He, Shuyang Sun, Xin Yu, Chuhui Xue, Wenqing Zhang, Philip H. S. Torr, Song Bai, Xiaojuan Qi
Is Synthetic Data from Generative Models Ready for Image Recognition? ICLR (2023)
Ruifei He, Shuyang Sun, Xin Yu, Chuhui Xue, Wenqing Zhang, Philip H. S. Torr, Song Bai, Xiaojuan Qi
Is synthetic data from generative models ready for image recognition? CoRR (2022)
Hai Wu, Ruifei He, Haoru Tan, Xiaojuan Qi, Kaibin Huang
Vertical Layering of Quantized Neural Networks for Heterogeneous Inference. CoRR (2022)
Ruifei He, Shuyang Sun, Jihan Yang, Song Bai, Xiaojuan Qi
Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability. CoRR (2022)
Shuyang Sun, Jieneng Chen, Ruifei He, Alan L. Yuille, Philip Torr, Song Bai
LUMix: Improving Mixup by Better Modelling Label Uncertainty. CoRR (2022)
Ruifei He, Shuyang Sun, Jihan Yang, Song Bai, Xiaojuan Qi
Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability. CVPR (2022)
Ruifei He, Jihan Yang, Xiaojuan Qi
Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation. ICCV (2021)
Ruifei He, Jihan Yang, Xiaojuan Qi
Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation. CoRR (2021)
Liang Liu, Jiangning Zhang, Ruifei He, Yong Liu, Yabiao Wang, Ying Tai, Donghao Luo, Chengjie Wang, Jilin Li, Feiyue Huang
Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation. CVPR (2020)
Liang Liu, Jiangning Zhang, Ruifei He, Yong Liu, Yabiao Wang, Ying Tai, Donghao Luo, Chengjie Wang, Jilin Li, Feiyue Huang
Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation. CoRR (2020)