
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
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