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Professor Xihui LIU

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Prof. Xihui LIU
Professor Xihui LIU
Assistant Professor
IEEE Member
  3917 2691
  CB-505
Research Interests:
Computer Vision; Generative Models; Multimodal AI; Deep Learning; Artificial Intelligence.

Biography

Xihui Liu is an Assistant Professor at the Department of Electrical and Computer Engineering (EEE) and Institute of Data Science (IDS), The University of Hong Kong. Before joining HKU, she was a postdoc Scholar at UC Berkeley, advised by Prof. Trevor Darrell. She obtained her Ph.D. degree from Multimedia Lab (MMLab), the Chinese University of Hong Kong, supervised by Prof. Xiaogang Wang and Prof. Hongsheng Li, and received her bachelor’s degree from Tsinghua University. Her research interests cover computer vision, deep learning, and artificial intelligence, with special emphasis on visual synthesis, generative models, vision and language, and multimodal AI. She is also interested in applying generative models and multimodal models to embodied AI, robotics, and AI for Science. She serves as area chairs for CVPR 2024 and ACM MM 2024. She was awarded Adobe Research Fellowship 2020, EECS Rising Stars 2021, and WAIC Rising Stars Award 2022.

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Selected Publications

  • Yang, Y., Huang, Y., Wu, X., Guo, Y. C., Zhang, S. H., Zhao, H., … & Liu, X. (2024). DreamComposer: Controllable 3D Object Generation via Multi-View Conditions. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 8111-8120).
  • Huang, K., Sun, K., Xie, E., Li, Z., & Liu, X. (2023). T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation. Advances in Neural Information Processing Systems, 36, 78723-78747.
  • Liu, X., Park, D. H., Azadi, S., Zhang, G., Chopikyan, A., Hu, Y., … & Darrell, T. (2023). More Control for Free! Image Synthesis with Semantic Diffusion Guidance. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 289-299).
  • Wu, X., Lao, Y., Jiang, L., Liu, X., & Zhao, H. (2022). Point Transformer V2: Grouped Vector Attention and Partition-based Pooling. Advances in Neural Information Processing Systems, 35, 33330-33342.
  • Liu, X., Lin, Z., Zhang, J., Zhao, H., Tran, Q., Wang, X., & Li, H. (2020). Open-edit: Open-domain Image Manipulation with Open-vocabulary Instructions. In Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XI 16 (pp. 89-106). Springer International Publishing.