Selected Publications (* indicates equal contribution)

• Expressive Text-to-Image Generation with Rich Text
  Songwei Ge, Taesung Park, Jun-Yan Zhu, Jia-Bin Huang
  To appear in the International Conference on Computer Vision (ICCV), 2023
  [Code] [Demo] [Project Page]


• Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models
  Songwei Ge, Seungjun Nah, Guilin Liu, Tyler Poon, Andrew Tao, Bryan Catanzaro, David Jacobs, Jia-Bin Huang, Ming-Yu Liu, Yogesh Balaji
  To appear in the International Conference on Computer Vision (ICCV), 2023
  [Project Page]


• Hyperbolic Contrastive Learning for Visual Representations beyond Objects
  Songwei Ge*, Shlok Mishra*, Simon Kornblith, Chun-Liang Li, David Jacobs
  In the Thirty-fifth Annual Computer Vision and Pattern Recognition (CVPR), 2023
  [Code]


• Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer
  Songwei Ge, Thomas Hayes, Harry Yang, Xi Yin, Guan Pang, David Jacobs, Jia-Bin Huang, Devi Parikh
  In the European Conference on Computer Vision (ECCV), 2022
  [Code] [Video] [Project Page]


• MUGEN: A Playground for Video-Audio-Text Multimodal Understanding and GENeration
  Thomas Hayes, Songyang Zhang, Xi Yin, Guan Pang, Sasha Sheng, Harry Yang, Songwei Ge, Isabelle Hu, Devi Parikh
  In the European Conference on Computer Vision (ECCV), 2022
  [Code] [Dataset] [Project Page]


• Robust Contrastive Learning Using Negative Samples with Diminished Semantics
  Songwei Ge, Shlok Mishra, Haohan Wang, Chun-Liang Li, David Jacobs
  In the Thirty-fifth Annual Conference on Neural Information Processing Systems (NeurIPS), 2021
  [Code and Dataset]


• Shift Invariance Can Reduce Adversarial Robustness
  Songwei Ge*, Vasu Singla*, Ronen Basri, David Jacobs
  In the ICLR Workshop on Security and Safety in Machine Learning Systems, 2021
  In the Thirty-fifth Annual Conference on Neural Information Processing Systems (NeurIPS), 2021
  [Code]


• Visual Conceptual Blending with Large-scale Language and Vision Models
  Songwei Ge and Devi Parikh
  In the International Conference on Computational Creativity (ICCC), 2021 (oral)
  


• Creative Sketch Generation
  Songwei Ge, Vedanuj Goswami, Larry Zitnick, Devi Parikh
  In the NeurIPS Workshop on Machine Learning for Creativity and Design, 2020 (oral)
  In the International Conference on Learning Representations (ICLR), 2021
  [Demo] [Code] [Dataset] [Project Page]


• Learning Robust Global Representations by Penalizing Local Predictive Power
  Haohan Wang, Songwei Ge, Eric P. Xing, Zachary C. Lipton
  In Thirty-third Conference on Neural Information Processing Systems (NeurIPS), 2019
  [Code] [Dataset]