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Penguins are starving as Antarctica gets warmer. Drones are counting the losses

Northeastern Global News

In January 2020, researchers from the Inception Institute of Artificial Intelligence, Beijing Institute of Technology, and Stony Brook University developed a human-aware AI system capable of deblurring faces in photos. The model distinguishes between foreground and background blurs by utilizing masks to separate them. Trained on the Human-aware Image Deblurring (HIDE) dataset and supplemented with GoPro footage, the AI demonstrated superior performance compared to existing motion deblurring methods, effectively restoring sharp facial features in dynamic scenes.

 

2020 INNOVATOR AWARDEES

Innovate Long Island

In February 2020, Innovate Long Island announced its 2020 Innovator Awardees, recognizing individuals and organizations driving innovation across the region. The awards highlighted achievements in technology, science, education, and entrepreneurship, celebrating contributions that have significantly impacted Long Island's innovation ecosystem.

 

This AI can reconstruct motion blurred Human faces

Digital Information World

In February 2020, researchers from the Inception Institute of Artificial Intelligence, Beijing Institute of Technology, and Stony Brook University developed an AI system capable of reconstructing motion-blurred human faces in photographs. The model distinguishes between foreground and background blurs by utilizing human-aware masks, effectively separating and processing each area. Trained on the Human-Aware Image Deblurring (HIDE) dataset and supplemented with GoPro footage, the AI demonstrated superior performance compared to existing motion deblurring methods, restoring sharp facial features in dynamic scenes.

 

Researchers use AI to deblur human faces in photos

Venture Beat

In January 2020, researchers from the Inception Institute of Artificial Intelligence, Beijing Institute of Technology, and Stony Brook University developed an AI system capable of deblurring human faces in photos. The model employs a human-aware approach, distinguishing between foreground and background blurs by utilizing masks to separate them. Trained on the Human-aware Image Deblurring (HIDE) dataset and supplemented with GoPro footage, the AI demonstrated superior performance compared to existing motion deblurring methods, effectively restoring sharp facial features in dynamic scenes.