42 citations · 127 across the 5 of their papers we have counts for
12 papers
Accelerating Diffusion Models via Early Stop of the Diffusion Process
Zhaoyang Lyu, Xudong XU, Ceyuan Yang +2
Denoising Diffusion Probabilistic Models (DDPMs) have achieved impressive performance on various generation tasks. By modeling the reverse process of gradually diffusing the data d…
Data-Efficient Instance Generation from Instance Discrimination
Ceyuan Yang, Yujun Shen, Yinghao Xu +1
Generative Adversarial Networks (GANs) have significantly advanced image synthesis, however, the synthesis quality drops significantly given a limited amount of training data. To i…
Instance Localization for Self-supervised Detection Pretraining
Ceyuan Yang, Zhirong Wu, Bolei Zhou +1
Prior research on self-supervised learning has led to considerable progress on image classification, but often with degraded transfer performance on object detection. The objective…
Generative Hierarchical Features from Synthesizing Images
Yinghao Xu, Yujun Shen, Jiapeng Zhu +2
Generative Adversarial Networks (GANs) have recently advanced image synthesis by learning the underlying distribution of the observed data. However, how the features learned from s…
Unsupervised Landmark Learning from Unpaired Data
Yinghao Xu, Ceyuan Yang, Ziwei Liu +2
Recent attempts for unsupervised landmark learning leverage synthesized image pairs that are similar in appearance but different in poses. These methods learn landmarks by encourag…
Video Representation Learning with Visual Tempo Consistency
Ceyuan Yang, Yinghao Xu, Bo Dai +1
Visual tempo, which describes how fast an action goes, has shown its potential in supervised action recognition. In this work, we demonstrate that visual tempo can also serve as a…