@inproceedings{EMNLP-LL-2022,
  title = "Learning to Model Multimodal Semantic Alignment for Story Visualization",
  author = "Bowen Li and Thomas Lukasiewicz",
  year = "2022",
  booktitle = "Findings of EMNLP 2022",
  month = "December",
  pages = "4712--4718",
  publisher = "Association for Computational Linguistics",
  url = "https://aclanthology.org/2022.findings-emnlp.346",
}
@inproceedings{LTLa-BVMC-2022,
  title = "Memory-Driven Text-to-Image Generation",
  author = "Bowen Li and Philip Torr and Thomas Lukasiewicz",
  year = "2022",
  booktitle = "Proceedings of the 33rd British Machine Vision Conference 2022, BMVC 2022, London, UK, November 21-24, 2022",
  month = "November",
  pages = "726",
  url = "https://bmvc2022.mpi-inf.mpg.de/726/",
}
@inproceedings{LTLb-BVMC-2022,
  title = "Image-to-Image Translation with Text Guidance",
  author = "Bowen Li and Philip Torr and Thomas Lukasiewicz",
  year = "2022",
  booktitle = "Proceedings of the 33rd British Machine Vision Conference 2022, BMVC 2022, London, UK, November 21-24, 2022",
  month = "November",
  pages = "581",
  url = "https://bmvc2022.mpi-inf.mpg.de/581/",
}
@inproceedings{ACMMM-LTL-2022,
  title = "Clustering Generative Adversarial Networks for Story Visualization",
  author = "Bowen Li and Philip Torr and Thomas Lukasiewicz",
  year = "2022",
  booktitle = "Proceedings of the 30th ACM Multimedia Conference, ACM MM 2022, Lisbon, Portugal, 10--14 October",
  month = "October",
  pages = "769--778",
  publisher = "ACM Press",
  url = "https://doi.org/10.1145/3503161.3548034",
}
@inproceedings{CIKM-NCGLKLY-2021,
  title = "Lightweight Visual Question Answering using Scene Graphs",
  author = "Vidyaranya Sai Nuthalapati and Ramraj	Chandradevan and Eleonora Giunchiglia and Bowen Li and Maxime Kayser and Thomas Lukasiewicz and Carl Yang",
  year = "2021",
  booktitle = "Proceedings of the 30th International Conference on Information and Knowledge Management, CIKM 2021, Gold Coast, Queensland, Australia, November 1--5, 2021",
  month = "November",
  publisher = "ACM Press",
  url = "https://doi.org/10.1145/3459637.3482218",
}
@inproceedings{NeurIPS-LQTL-2020,
  title = "Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation",
  author = "Bowen Li and Xiaojuan Qi and Philip H. S. Torr and Thomas Lukasiewicz",
  year = "2020",
  booktitle = "Proceedings of the 34th Annual Conference on Neural Information Processing Systems‚ NeurIPS 2020‚ December 6--12‚ 2020",
  month = "December",
  url = "https://proceedings.neurips.cc/paper/2020/hash/fae0b27c451c728867a567e8c1bb4e53-Abstract.html",
}
@inproceedings{LQLT2020,
  title = "ManiGAN: Text-Guided Image Manipulation",
  author = "Bowen Li and Xiaojuan Qi and Thomas Lukasiewicz and Philip H. S. Torr",
  year = "2020",
  booktitle = "Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, Washington, USA, June 14-19, 2020",
  editor = "Ce Liu and Greg Mori and Kate Saenko and Silvio Savarese",
  month = "June",
  pages = "7880--7889",
  publisher = "CVF/IEEE",
  url = "https://openaccess.thecvf.com/content_CVPR_2020/html/Li_ManiGAN_Text-Guided_Image_Manipulation_CVPR_2020_paper.html",
  doi = "https://doi.org/10.1109/CVPR42600.2020.00790",
}
@inproceedings{ICMLA-2020-91,
  title = "Knowledge Graph Extraction from Videos",
  author = "Louis Mahon and Eleonora Giunchiglia and Bowen Li and Thomas Lukasiewicz",
  year = "2020",
  booktitle = "Proceedings of the IEEE 2020 International Conference on Machine Learning and Applications, ICMLA 2020, Miami, Florida, December 14-17, 2020",
  month = "December",
  pages = "25--32",
  publisher = "IEEE",
  url = "https://doi.org/10.1109/ICMLA51294.2020.00014",
}
@inproceedings{LQLT2019,
  title = "Controllable Text-to-Image Generation",
  author = "Bowen Li and Xiaojuan Qi and Thomas Lukasiewicz and Philip H. S. Torr",
  year = "2019",
  booktitle = "Proceedings of the 33rd Annual Conference on Neural Information Processing Systems‚ NeurIPS 2019‚ Vancouver‚ Canada‚ December 8--14‚ 2019",
  month = "December",
  url = "http://arxiv.org/abs/1909.07083",
}