Marco Fornoni

Marco Fornoni

Marco Fornoni is a Staff Engineer in Google DeepMind. His research interests are in the field of AI, machine learning, and computer vision. His current focus is on efficient vision and language architectures research. He joined Google as part of the acquisition of Moodstocks, where he worked as a Research Engineer. He holds a PhD from EPFL and Idiap Research Institute, with a thesis on visual scene recognition.

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On Label Granularity and Object Localization
Elijah Henry John Cole
Kimberly Wilber
Grant Van Horn
Xuan Yang
Marco Fornoni
Pietro Perona
Serge Belongie
Andrew Howard
Mac Aodha, Oisin
European Conference on Computer Vision, Springer (2022), pp. 604-620
Bridging the Gap between Object Detection and User Intent via Query-Modulation
Marco Fornoni
Chaochao Yan
Liangchen Luo
Kimberly Wilber
Alex Stark
Yin Cui
Boqing Gong
Andrew Howard
arXiv (2021)
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection
Keren Ye
Adriana Kovashka
Mark Sandler
Menglong Zhu
Andrew Howard
Marco Fornoni
Proceedings of the Asian Conference on Computer Vision (ACCV), Springer (2020)
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