@misc{chen2025snapmojiinstantgenerationanimatable,
  title={Snapmoji: Instant Generation of Animatable Dual-Stylized Avatars}, 
  author={Eric M. Chen and Di Liu and Sizhuo Ma and Michael Vasilkovsky and Bing Zhou and Qiang Gao and Wenzhou Wang and Jiahao Luo and Dimitris N. Metaxas and Vincent Sitzmann and Jian Wang},
  year={2025},
  eprint={2503.11978},
  archivePrefix={arXiv},
  primaryClass={cs.GR},
  url={https://arxiv.org/abs/2503.11978}, 
}
                          

    @inproceedings{liu2025lucas,
    title={LUCAS: Layered Universal Codec Avatars},
    author={Liu, Di and Deng, Teng and Nam, Giljoo and Rong, Yu and Pidhorskyi, Stanislav and Li, Junxuan and Saragih, Jason and Metaxas, Dimitris N. and Cao, Chen},
    booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month={June},
    year={2025}
    }
                          

                            2
                          

    @inproceedings{liu2024instantaneous,
      title={Instantaneous Perception of Moving Objects in 3D},
      author={Liu, Di and Zhuang, Bingbing and Metaxas, Dimitris N and Chandraker, Manmohan},
      booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
      pages={19573--19583},
      year={2024}
    }
                          

@inproceedings{zhangli2024layout,
  title={Layout-Agnostic Scene Text Image Synthesis with Diffusion Models},
  author={Zhangli, Qilong and Jiang, Jindong and Liu, Di and Yu, Licheng and Dai, Xiaoliang and Ramchandani, Ankit and Pang, Guan and Metaxas, Dimitris N and Krishnan, Praveen},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={7496--7506},
  year={2024}
}
                            

    @inproceedings{liu2023lepard,
    title={LEPARD: Learning Explicit Part Discovery for 3D Articulated Shape Reconstruction},
    author={Liu, Di and Zhangli, Qilong and Gao, Yunhe and Metaxas, Dimitris N},
    booktitle={Thirty-seventh Conference on Neural Information Processing Systems},
    year={2023}
    }
                          

    @inproceedings{liu2023deformer,
    title={DeFormer: Integrating Transformers with Deformable Models for 3D Shape Abstraction from a Single Image},
    author={Liu, Di and Yu, Xiang and Ye, Meng and Zhangli, Qilong and Li, Zhuowei and Zhang, Zhixing and Metaxas, Dimitris N},
    booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
    pages={14236--14246},
    year={2023}
    }
                          

    @article{zhang2025lslm,
      title={Large Sign Language Models: Toward 3D American Sign Language Translation},
      author={Zhang, Sen and He, Xiaoxiao and Liu, Di and Jiang, Jindong and Xia, Zhaoyang and Zhao, Mingyu and Tan, Chaowei and Li, Vivian and Liu, Bo and Metaxas, Dimitris N and Kapadia, Mubbasir},
      journal={Under Review},
      year={2025}
    }
                          

    @article{li2025hidden,
      title={The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering},
      author={Li, Zhuowei and Shi, Haizhou and Gao, Yunhe and Liu, Di and Wang, Zhenting and Chen, Yuxiao and Liu, Ting and Zhao, Long and Wang, Hao and Metaxas, Dimitris N},
      booktitle={Proceedings of the International Conference on Machine Learning (ICML)},
      year={2025}
    }
                          

    @inproceedings{li2025implicit,
    title={Implicit In-context Learning},
    author={Li, Zhuowei and Xu, Zihao and Han, Ligong and Gao, Yunhe and Wen, Song and Liu, Di and Wang, Hao and Metaxas, Dimitris N.},
    booktitle={Proceedings of the Thirteenth International Conference on Learning Representations (ICLR)},
    year={2025}
    }
                          

      @article{gao2025show,
        title={Show and Segment: Universal Medical Image Segmentation via In-Context Learning},
        author={Gao, Yunhe and Liu, Di and Li, Zhuowei and Li, Yunsheng and Chen, Dongdong and Zhou, Mu and Metaxas, Dimitris N},
        booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
        year={2025}
      }
                            

  @article{gao2023training,
    title={Training Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image Segmentation},
    author={Gao, Yunhe and Li, Zhuowei and Liu, Di and Zhou, Mu and Zhang, Shaoting and Metaxas, Dimitris N},
    booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2024}
  }