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Blind image quality assessment (BIQA) is crucial for user satisfaction and the performance of various image processing applications. Most BIQA methods directly use the pre-trained model to extract features and then perform feature fusion. However, the features extracted by pre-trained models may contain irrelevant information to BIQA. Although some methodspre-train the feature extraction network from scratch, these approaches raise computational costs and resource demands.
Date: 6 May 2025
Time: 11:00 AM ET (New York Time)
Presenter(s): Dr. Quentin Bammey
Date: 12 March 2025
Time: 9:00 AM ET (New York Time)
Presenter(s): Dr. Ming Ding
Date: 20 January 2025
Chapter: Italy Chapter
Chapter Chair: Enrico Magli
Title: Diffusion Models: Signal Processing Perspective
Date: 27-28 March 2025 & 2 April 2025
Chapter: Kerala
Chapter Chair: Reshna S.
Title: Neuroimaging data analysis and fusion Matrix and Tensor Factorizations for Neuroimaging Data Analysis
Fusion Data-driven Research in Computational Neuroscience: Challenges and Opportunities
Date: 13 February 2025
Time: 7:30 AM ET (New York Time)
Presenter(s): Dr. Ran He
Date: 16 December 2024
Chapter: Kolkata Chapter & Silchar Student Chapter
Chapter Chair: R. Murugan
Title: Artificial Intelligence in Health
Date: 28 July-1 August 2025
Location: Vienna, Austria