Moments in Time Dataset: one million videos for event understanding
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.
- Moments in Time Dataset: one million videos for event understanding. Mathew Monfort, Bolei Zhou, Sarah Adel Bargal, Alex Andonian, Tom Yan, Kandan Ramakrishnan, Lisa Brown, Quanfu Fan, Dan Gutfruend, Carl Vondrick, Aude Oliva. IEEE Transactions on Pattern Matching and Machine Intelligence (TPAMI) , 2019
- ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models
Andrei Barbu, David Mayo, Julian Alverio, William Luo, Christopher Wang, Dan Gutfreund, Josh Tenenbaum, Boris Katz
NeurIPS 2019 : Thirty-third Conference on Neural Information Processing Systems, pp. 9453-9463
cognitive neuroscience of visual object recognition, artificial intelligence, annotation
- Reasoning About Human-Object Interactions Through Dual Attention Networks
Tete Xiao, Quanfu Fan, Danny Gutfreund, Mathew Monfort, Aude Oliva, Bolei Zhou
2019 IEEE/CVF International Conference on Computer Vision (ICCV), pp. 3918-3927
ObjectNet: A bias-controlled dataset object recognition
Publications with the MIT-IBM Watson AI Lab