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Ceyuan Yang
PhD Student
Department of Information Engineering
The Chinese University of Hong Kong
E-mail  / 
Google Scholar  / 
Github
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Full Publications [Home]
*equal contribution +corresponding author
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Exploring Sparse MoE in GANs for Text-conditioned Image Synthesis,
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Learning Modulated Transformation in GANs,
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Revisiting the Evaluation of Image Synthesis with GANs,
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AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning,
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One-Shot Generative Domain Adaptation,
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LinkGAN: Linking GAN Latents to Pixels for Controllable Image Synthesis,
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DiscoScene: Spatially Disentangled Generative Radiance Field for Controllable 3D-aware Scene Synthesis,
Yinghao Xu,
Menglei Chai,
Zifan Shi,
Sida Peng,
Ivan Skorokhodov,
Aliaksandr
Siarohin,
Ceyuan Yang,
Yujun Shen,
Hsin-Ying Lee,
Bolei Zhou,
Sergey Tulyakov.
Highlight Presentation
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GLeaD: Improving GANs with A Generator-Leading Task,
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Towards Smooth Video Composition,
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Improving GANs with A Dynamic Discriminator,
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Accelerating Diffusion Models via Early Stop of the Diffusion Process,
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Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation,
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3D-aware Image Synthesis via Learning Structural and Textural Representations,
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Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition,
Oral Presentation
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Improving GAN Equilibrium by Raising Spatial Awareness,
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Data-Efficient Instance Generation from Instance Discrimination,
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Instance Localization for Self-supervised Detection Pretraining,
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Generative Hierarchical Features from Synthesizing Images,
Oral Presentation
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Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis,
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InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs,
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Learning Motion Priors for Efficient Video Object Detection,
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Unsupervised Landmark Learning from Unpaired Data,
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Video Representation Learning with Visual Tempo Consistency,
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Temporal Pyramid Network for Action Recognition,
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Adapting Object Detectors via Selective Cross-Domain Alignment,
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Pose Guided Human Video Generation,
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Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation,
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Remote Sensing Image Scene Classification via Learning Discriminative CNNs,
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