Yizhe(Ethan) Zhu

Yizhe(Ethan) Zhu

Senior Research Scientist

Back to Top ↑

Publications

You can also find my publications on my Google Scholar profile.

2024

  1. MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation
    – Kunpeng Song, Yizhe Zhu, Bingchen Liu, Qing Yan, Ahmed Elgammal, Xiao Yang
    –arXiv preprint arXiv:2404.05674  

2023

  1. Shifted diffusion for text-to-image generation
    – Yufan Zhou, Bingchen Liu, Yizhe Zhu, Xiao Yang, Changyou Chen, Jinhui Xu
    –IEEE Conference on Computer Vision and Patter (CVPR) 2023  
  2. MagicDance: Realistic Human Dance Video Generation with Motions & Facial Expressions Transfer
    – Di Chang, Yichun Shi, Quankai Gao, Jessica Fu, Hongyi Xu, Guoxian Song, Qing Yan, Yizhe Zhu, Xiao Yang, Mohammad Soleymani
    –arXiv preprint arXiv:2311.12052  

2022

  1. Magicvideo: Efficient video generation with latent diffusion models
    – Daquan Zhou, Weimin Wang, Hanshu Yan, Weiwei Lv, Yizhe Zhu, Jiashi Feng
    –arXiv preprint arXiv:2211.11018  

2021

  1. Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis
    – Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal
    –International Conference on Learning Representations (ICLR) 2021  
  2. Self-Supervised Sketch-to-Image Synthesis
    – Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal
    – The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI) 2021  
  3. TIME: Text and Image Mutual-Translation Adversarial Networks
    – Bingchen Liu, Kunpeng Song, Yizhe Zhu, Gerard de Melo, Ahmed Elgammal
    – The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI) 2021  

2020

  1. S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation
    – Yizhe Zhu, Martin Renqiang Min, Asim Kadav, Hans Peter Graf
    – IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020  
  2. Federated Adversarial Domain Adaptation
    – Xingchao Peng, Zijun Huang, Yizhe Zhu, Kate Saenko
    – International Conference on Learning Representations (ICLR) 2020  
  3. OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization
    – Bingchen Liu, Yizhe Zhu, Zuohui Fu, Gerard de Melo, Ahmed Elgammal
    – The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI) 2020  

2019

  1. Semantic-Guided Multi-Attention Localization for Zero-Shot Learning
    – Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng , Ahmed Elgammal,
    – Thirty-third Conference on Neural Information Processing Systems, (NeurIPS) 2019.
  2. Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning
    – Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal
    – International Conference on Computer Vision (ICCV) 2019
  3. AdaTransform: Adaptive Data Transformation
    – Zhiqiang Tang, Xi Peng , Tingfeng Li, Yizhe Zhu, Dimitris N Metaxas
    – International Conference on Computer Vision (ICCV Oral) 2019

2018

  1. CU-Net: Coupled U-Nets
    – Zhiqiang Tang, Xi Peng, Shijie Geng, Yizhe Zhu, Dimitris Metaxas,
    – British Machine Vision Conference, (BMVC Oral) 2018.
  2. A Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts
    – Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Xi Peng, Ahmed Elgammal,
    – IEEE Conference on Computer Vision and Pattern Recognition, (CVPR) 2018.

2017

  1. A Multilayer-Based Framework for Online Background Subtraction with Freely Moving Cameras
    – Yizhe Zhu, Ahmed Elgammal,
    – International Conference on Computer Vision, ICCV 2017.
  2. Link the head to the “beak”: Zero Shot Learning from Noisy Text Description at Part Precision
    – Mohamed Elhoseiny*, Yizhe Zhu*, Han Zhang, Ahmed Elgammal (contributed equally),
    – *IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017    .