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Antonio Torralba
Researcher at Massachusetts Institute of Technology
Publications - 437
Citations - 105763
Antonio Torralba is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Computer science & Object detection. The author has an hindex of 119, co-authored 388 publications receiving 84607 citations. Previous affiliations of Antonio Torralba include Vassar College & Nvidia.
Papers
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Book ChapterDOI
Undoing the damage of dataset bias
TL;DR: Overall, this work finds that it is beneficial to explicitly account for bias when combining multiple datasets, and proposes a discriminative framework that directly exploits dataset bias during training.
Posted Content
Eye Tracking for Everyone
Kyle Krafka,Aditya Khosla,Petr Kellnhofer,Harini Kannan,Suchendra M. Bhandarkar,Wojciech Matusik,Antonio Torralba +6 more
TL;DR: iTracker, a convolutional neural network for eye tracking, is trained, which achieves a significant reduction in error over previous approaches while running in real time (10-15fps) on a modern mobile device.
Proceedings ArticleDOI
MovieQA: Understanding Stories in Movies through Question-Answering
TL;DR: The MovieQA dataset as discussed by the authors consists of 14,944 questions about 408 movies with high semantic diversity, ranging from simpler "Who" did "What" to "Whom", to "Why" and "How" certain events occurred.
Journal ArticleDOI
What Do Different Evaluation Metrics Tell Us About Saliency Models
TL;DR: This paper provides an analysis of 8 different evaluation metrics and their properties, and makes recommendations for metric selections under specific assumptions and for specific applications.
Proceedings ArticleDOI
Top-down control of visual attention in object detection
TL;DR: The results validate the proposition that top-down information from visual context modulates the saliency of image regions during the task of object detection.