1st Symposium on AI-Empowered Visual Computing

Artificial Intelligence (AI) technology has been sparking a revolution in the field of computer vision and computer graphics, which enables computers to tremendously improve the quality and realism of multimedia artefacts, such as images, videos and 3D contents, offering increasingly better representation and understanding of the world. To facilitate effective communication between researchers, educators and practitioners from all over the world, push state of the art at the intersection of computer vision, computer graphics and machine learning, this symposium calls for original research under the theme of AI with Visual Computing. The authors are encouraged to present novel theoretical and algorithmic solutions as well as state-of-the-art reports addressing problems across the domain of visual computing and related applications. 

Submissions are invited in the following topics (but are not limited to):

  • Content-aware 3D environment understanding
  • Large scene 3D reconstruction from point cloud
  • Multi-modality 3D object detection
  • Motion and tracking   
  • Deep learning for crowd behaviour detection
  • Sketch-based retrieval, modelling and synthesis 
  • Style transfer for character animation
  • AI-driven digital double modeling and animation 
  • Audio or speech-driven character animation
  • Facial performance capture, tracking, synthesis, and retargeting
  • Virtual production techniques including lighting, camera tracking and real-time rendering
  • Image and video annotation
  • Style transfer for digital media (image, video, audio, music)
  • Emotion detection for human-computer interaction
  • Chatbot for a social companion
  • Spoken language processing
  • Common sense for conversation generation
  • Narrative driven storytelling 
  • Detection of AI-generated content, such as fake news, fake face and animation

General enquiries and submissions should be addressed to the Conference coordinator.

Enquiries specific to the symposium should be addressed to the Co-Chairs:

Professor Jian J Zhang
National Centre for Computer Animation,
Faculty of Media and Communication, Bournemouth University, UK
jzhang (at)

Dr Xiaosong Yang
National Centre for Computer Animation,
Faculty of Media and Communication, Bournemouth University, UK
xyang (at)