Springer Nature Computational Science Community
The Computational Science Collection features semianrs exploring and celebrating the latest research in high-performance computing, data science and big data analytics, computational modelling and simulations, computational optimisation, and more.
Hear directly from thought leaders in the field, you can also continue the conversation in the Computational Science Community.
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Upcoming Seminars
How to write a successful research paper
Laura Sanchez Burgos, Springer Nature
Engi Hassaan, Springer Nature (Germany)
Engi Hassaan, Springer Nature (Germany)
How to write a successful research paper
Laura Sanchez Burgos, Springer Nature
Engi Hassaan, Springer Nature (Germany)
Engi Hassaan, Springer Nature (Germany)
Recent Seminars
Revealing and Leveraging the Visual Information in Diffusion Models
Deepti Ghadiyaram, Boston University
Explaining synthetic face images generated by diffusion models
Victor Sanchez, University of Warwick
JIVP Series: Evaluating Visual Quality in Immersive Multimedia: Bridging Human Perception and Machine Intelligence
Wei Zhou, Cardiff University
Inferential Machine Learning: Towards Human-collaborative Foundation Models
Ghassan AlRegib, Georgia Institute of Technology
DCTs, DSTs and transforms on path graphs: History and recent results
Antonio Ortega, University of Southern California
ColorVideoVDP - how low-level human vision models help to design better quality metrics
Rafal Mantiuk, University of Cambridge
On generating image and video hallucinations
Sabine Süsstrunk, École Polytechnique Fédérale de Lausanne
Point Cloud Compression, Super-Resolving and Deblocking
Zhu Li, University of Missouri
Learning to Read Facial Expressions
Wen-Huang Cheng, National Taiwan University
Visual quality assessment for decision making in standardization projects
Mathias Wien, RWTH Aachen University
Most Watched Seminars
JIVP Series: Evaluating Visual Quality in Immersive Multimedia: Bridging Human Perception and Machine Intelligence
Wei Zhou, Cardiff University
ColorVideoVDP - how low-level human vision models help to design better quality metrics
Rafal Mantiuk, University of Cambridge
Inferential Machine Learning: Towards Human-collaborative Foundation Models
Ghassan AlRegib, Georgia Institute of Technology
On generating image and video hallucinations
Sabine Süsstrunk, École Polytechnique Fédérale de Lausanne
Visual quality assessment for decision making in standardization projects
Mathias Wien, RWTH Aachen University
Point Cloud Compression, Super-Resolving and Deblocking
Zhu Li, University of Missouri
Explaining synthetic face images generated by diffusion models
Victor Sanchez, University of Warwick
Revealing and Leveraging the Visual Information in Diffusion Models
Deepti Ghadiyaram, Boston University
Learning to Read Facial Expressions
Wen-Huang Cheng, National Taiwan University
DCTs, DSTs and transforms on path graphs: History and recent results
Antonio Ortega, University of Southern California