Marco Pedersoli

Biography

Marco Pedersoli studies how visual recognition systems can learn from fewer human annotations and run with less computation. He develops methods for learning representations from images and from images paired with text. His group also studies embedded neural networks for building control, where an algorithm must balance occupants’ comfort with energy use.

Research topics

• Efficient computer vision
• Weak supervision
• Embedded neural networks