Antonio Torralba
Massachusetts Institute of Technology
Professor
Department of Electrical Engineering and Computer Science
Research Area
#Computer science#Artificial intelligence#Computer vision#Artificial neural network#Machine learning#Convolutional neural network#Visualization#Pattern recognition#Object (computer science)#Natural language processing
SCIE paper information
Papers relevant to ‘Computer science’: 25
Research performance of SCIE papers matching with ‘Computer science’
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Places: A 10 Million Image Database for Scene Recognition
2018/06 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 17.73 Impact Factor 1507 citations
Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence
2016/06 SCIENTIFIC REPORTS 4.259 Impact Factor 365 citations
Papers for author ‘Antonio Torralba’: 30
Number of published SCIE papers by year
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Places: A 10 Million Image Database for Scene Recognition
2018/06 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 17.73 Impact Factor 1507 citations
Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence
2016/06 SCIENTIFIC REPORTS 4.259 Impact Factor 365 citations
conference information
Papers relevant to ‘Computer science’: 71
Research performance of Top-tier Conference matching with ‘Computer science’
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Learning Deep Features for Discriminative Localization
2016/06 CVPR Top-tier Conference 4169 citations
Learning Deep Features for Scene Recognition using Places Database
2014/12 NEURIPS Top-tier Conference 2952 citations
Papers for author ‘Antonio Torralba’: 73
Number of published Top-tier Conference by year
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Learning Deep Features for Discriminative Localization
2016/06 CVPR Top-tier Conference 4169 citations
Learning Deep Features for Scene Recognition using Places Database
2014/12 NEURIPS Top-tier Conference 2952 citations
Log in to PhD.GO
Access the Bookmarks
Add or remove professors and programs of interest from your Bookmarks
Subscribe to the graduate program newsletters that you've bookmarked
Enter your test results to ensure you meet the minimum for each graduate program at Bookmarks
At a glance, see program deadlines you've bookmarked on your calendar