Alexander Schwing

Alexander Schwing is an Associate Professor in the Department of Electrical and Computer Engineering and Computer Science at the University of Illinois at Urbana-Champaign, affiliated with the Coordinated Science Laboratory. His research focuses on machine learning and computer vision with applications in 3D scene understanding, generative modeling, and multi-agent systems.

• Education:
  • Diploma in Electrical Engineering and Information Technology, Technical University of Munich (TUM)
  • PhD in Computer Science, ETH Zurich
  • Postdoctoral Fellow, University of Toronto
• Research Interests:
  • Structured prediction in deep learning
  • Generative adversarial networks and stability
  • Multi-modal vision-language models
  • 3D scene reconstruction from single images
  • Embodied agent collaboration
  • Semantic segmentation with temporal coherence

Recent Publications: Highlight trends in neural rendering, video object segmentation, and reinforcement learning with applications to 3D modeling and multi-agent systems. Notable innovations include SAIL-VOS dataset for amodal segmentation and NeRFDeformer for single-view scene transformation.

Scientific Awards: NSF CAREER Award, 3M and Amazon research awards, multiple student recognition awards, ETH Zurich PhD medal, and best paper at Intelligent Tutoring Systems 2014.

Teaching: Offers graduate courses in Pattern Recognition (ECE 544) and Machine Learning (CS 446/ECE 449). Previously taught at University of Toronto and ETH Zurich.

Labs & Collaborations: Leads research at Coordinated Science Laboratory (UIUC) with collaborations across University of Toronto, ETH Zurich, and industry partners like Samsung SAIT and Amazon.