Michael Iuzzolino

Michael Iuzzolino has been working as a researcher with Microsoft’s Applied Sciences Group (ASG) while completing his Ph.D. in machine learning at the University of Colorado, Boulder, where he received his M.S. in computer science.   He earned a B.S. in neuroscience and cognitive science, molecular and cellular biology, and applied mathematics at the University of Arizona.

His research interests are primarily focused on developing novel machine-learning applications for computer-vision and sound-processing tasks, such as 3D object retrieval and pose estimation, audio-visual speech enhancement, and recurrent convolutional visual processing.  His previous research focused on sim2real transfer learning, attractor networks, and active learning.

Outside of work, Michael enjoys travel.  He has backpacked, couchsurfed, and WWOOFed across nearly 40 countries.

• MMTM: Multimodal Transfer Module for CNN Fusion

  The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) June, 2020

  By Hamid Vaezi Joze, Amirreza Shaban, Michael Iuzzolino, Kazuhito Koishida
• AV(SE)2 : Audio-Visual Squeeze-Excite Speech Enhancement

  Proceedings, ICASSP 2020 May, 2020 Pages 7534-7538

  By Michael Iuzzolino, Kazuhito Koishida