Babak Saleh

Universitas PGRI Semarang — ID

Computer Science · Physical Sciences

10h-index829citations29works0.02yr avg
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Research Topics

Advanced Image and Video Retrieval Techniques(11), Image Retrieval and Classification Techniques(9), Domain Adaptation and Few-Shot Learning(9), Aesthetic Perception and Analysis(9), Anomaly Detection Techniques and Applications(6)

Publications29 total

Perception of the State Civil Apparatus in the Face of the Prabowo-Gibran Government's Expenditure Efficiency Policy at the Ministry of Home Affairs and the Regions
International Journal of Law Social Sciences and Management·2025Open Access
A novel framework for understanding atypical images
2017Open Access
Write a Classifier: Predicting Visual Classifiers from Unstructured Text
IEEE Transactions on Pattern Analysis and Machine Intelligence·2016· 35 cited
Incorporating prototype theory in convolutional neural networks
International Joint Conference on Artificial Intelligence·2016· 2 cited
Wow! that looks strange
AI Matters·2016
Toward a Taxonomy and Computational Models of Abnormalities in Images
Proceedings of the AAAI Conference on Artificial Intelligence·2016· 8 citedOpen Access
The Role of Typicality in Object Classification: Improving The Generalization Capacity of Convolutional Neural Networks
arXiv (Cornell University)·2016· 10 citedOpen Access
Toward a Taxonomy and Computational Models of Abnormalities in Images
View·2016· 10 citedOpen Access
Write a Classifier: Predicting Visual Classifiers from Unstructured Text Descriptions.
arXiv (Cornell University)·2016· 2 citedOpen Access
Write a Classifier: Predicting Visual Classifiers from Unstructured Text
arXiv (Cornell University)·2015· 3 citedOpen Access
Toward a Taxonomy and Computational Models of Abnormalities in Images
2015Open Access
A Unified Framework for Painting Classification
2015· 20 cited
Large-scale Classification of Fine-Art Paintings
2015· 121 citedOpen Access
Tell and Predict: Kernel Classifier Prediction for Unseen Visual Classes from Unstructured Text Descriptions
arXiv (Cornell University)·2015· 5 citedOpen Access
Quantifying Creativity in Art Networks.
ICCC·2015· 4 cited
Quantifying Creativity in Art Networks
arXiv (Cornell University)·2015· 50 citedOpen Access
Learning Style Similarity for Searching Infographics
arXiv (Cornell University)·2015· 23 citedOpen Access
Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature
arXiv (Cornell University)·2015· 73 citedOpen Access
Learning style similarity for searching infographics
arXiv (Cornell University)·2015· 17 citedOpen Access
Abnormal Object Recognition: A Comprehensive Study
arXiv (Cornell University)·2014Open Access
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Frequent Co-authors

Ahmed Elgammal(21), Ali Farhadi(5), Mohamed Elhoseiny(4), Kanako Abe(4), Jacob Feldman(4), Ravneet Arora(2), Mira Dontcheva(2), Aaron Hertzmann(2), Zhicheng Liu(2), S. Abdallah(2), A.K. Aboulsoud(2), Mohamed Elhoseiny(1), Jacob J. Feldman(1), Mohammad Rastegari(1)