Dan Gutfreund

Research Staff Member, Video Analytics

I am a principal investigator at the MIT-IBM Watson AI Lab, focusing on developing capabilities towards fully automated video comprehension.

Before I moved to the Cambridge Research Lab I was at the Haifa Research Lab where I held several managerial and technical leadership positions. In my last role I was the manager in charge of IBM Debating Technologies.

In 2005 I received a PhD in computer science from the Hebrew Univerity in Jerusalem, Israel. Following that I was a postdoctoral fellow and a lecturer at Harvard University and MIT. My research interests are in computational complexity, foundations of cryptography and machine learning with applications to natural language processing and computer vision.

Selected Publications

Top Work

Moments in Time Dataset: one million videos for event understanding

Moments in Time Dataset: one million videos for event understanding

Computer Vision

ObjectNet: A bias-controlled dataset object recognition

ObjectNet: A bias-controlled dataset object recognition

Computer Vision

Publications with the MIT-IBM Watson AI Lab

Reasoning about Human-Object Interactions through Dual Attention Networks
Reasoning about Human-Object Interactions through Dual Attention Networks
 
ObjectNet: A bias-controlled dataset object recognition
ObjectNet: A bias-controlled dataset object recognition
 
Moments in Time Dataset: one million videos for event understanding
Moments in Time Dataset: one million videos for event understanding
 
SimVAE: Simulator-Assisted Training for Interpretable Generative Models
SimVAE: Simulator-Assisted Training for Interpretable Generative Models