Thomas Lukasiewicz

Professor Thomas Lukasiewicz

Professor of Computer Science

E: firstname.lastname at cs.ox.ac.uk

T: +44 (0)1865 522566

Room 366, Wolfson Building, Parks Road, Oxford OX1 3QD
United Kingdom

Themes:

• Artificial Intelligence and Machine Learning
• Data and Knowledge
• Algorithms and Complexity Theory

Completed Projects:

• ExODA
• Probabilistic Semantic Query Answering on the Web
• PrOQAW
• PRODIMA
• Personalized Search on the Social Web
• more…

Interests

For more information on Thomas Lukasiewicz and his team, see: Intelligent Systems Lab.

Selected Publications

View AllManage publications

• Clustering Generative Adversarial Networks for Story Visualization

  Bowen Li‚ Philip Torr and Thomas Lukasiewicz

  In Proceedings of the 30th ACM Multimedia Conference‚ ACM MM 2022‚ Lisbon‚ Portugal‚ 10–14 October. ACM Press. October, 2022.

  Details about Clustering Generative Adversarial Networks for Story Visualization | BibTeX data for Clustering Generative Adversarial Networks for Story Visualization

• Explaining Chest X−ray Pathologies in Natural Language

  Maxime Kayser‚ Cornelius Emde‚ Oana Camburu‚ Guy Parsons‚ Bartlomiej Papiez and Thomas Lukasiewicz

  In Proceedings of the 25th International Conference on Medical Image Computing and Computer−Assisted Intervention‚ MICCAI 2022‚ Singapore‚ 18–22 September 2022. Springer. September, 2022.

  Details about Explaining Chest X−ray Pathologies in Natural Language | BibTeX data for Explaining Chest X−ray Pathologies in Natural Language

• ω−Net: Dual Supervised Medical Image Segmentation with Multi−Dimensional Self−Attention and Diversely−Connected Multi−Scale Convolution

  Zhenghua Xu‚ Shijie Liu‚ Di Yuan‚ Lei Wang‚ Junyang Chen‚ Thomas Lukasiewicz‚ Zhigang Fu and Rui Zhang

  In Neurocomputing. Vol. 500. Pages 177−190. August, 2022.

  Details about ω−Net: Dual Supervised Medical Image Segmentation with Multi−Dimensional Self−Attention and Diversely−Connected Multi−Scale Convolution | BibTeX data for ω−Net: Dual Supervised Medical Image Segmentation with Multi−Dimensional Self−Attention and Diversely−Connected Multi−Scale Convolution | Link to ω−Net: Dual Supervised Medical Image Segmentation with Multi−Dimensional Self−Attention and Diversely−Connected Multi−Scale Convolution

Activities

• Deep Learning
• Knowledge Representation and Reasoning
• Databases

Completed Projects

• ExODA
• Probabilistic Semantic Query Answering on the Web
• PrOQAW
• PRODIMA
• Personalized Search on the Social Web
• DBOnto
• VADA
• RealPDBs
• PrefMPS

Current Students

Past Students

Past Researchers