R. Manmatha links relevant research areas such as Word (group theory) and Handwriting in the realm of Linguistics. Word (group theory) is closely attributed to Linguistics in his study. His Artificial intelligence study typically links adjacent topics like Pattern recognition (psychology). He combines topics linked to Artificial intelligence with his work on Pattern recognition (psychology). His multidisciplinary approach integrates Natural language processing and Information retrieval in his work. In his articles, he combines various disciplines, including Information retrieval and Natural language processing. Image (mathematics) and Scale space are frequently intertwined in his study. He applies his multidisciplinary studies on Scale space and Image processing in his research. His Image processing study frequently draws connections to adjacent fields such as Image (mathematics).
In most of his Linguistics studies, his work intersects topics such as Word (group theory) and Handwriting. His Word (group theory) study frequently links to adjacent areas such as Linguistics. He links relevant research areas such as Convolutional neural network and Deep learning in the realm of Machine learning. R. Manmatha merges many fields, such as Deep learning and Machine learning, in his writings. His work blends Artificial intelligence and Algorithm studies together. He brings together Algorithm and Artificial intelligence to produce work in his papers. His work in Image (mathematics) is not limited to one particular discipline; it also encompasses Image processing. He combines Operating system and Scripting language in his studies. He brings together Scripting language and Operating system to produce work in his papers.
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Automatic image annotation and retrieval using cross-media relevance models
J. Jeon;V. Lavrenko;R. Manmatha.
international acm sigir conference on research and development in information retrieval (2003)
Multiple Bernoulli relevance models for image and video annotation
S.L. Feng;R. Manmatha;V. Lavrenko.
computer vision and pattern recognition (2004)
A Model for Learning the Semantics of Pictures
Victor Lavrenko;R. Manmatha;Jiwoon Jeon.
neural information processing systems (2003)
Word image matching using dynamic time warping
T.M. Rath;R. Manmatha.
computer vision and pattern recognition (2003)
Sampling Matters in Deep Embedding Learning
R. Manmatha;Chao-Yuan Wu;Alexander J. Smola;Philipp Krahenbuhl.
international conference on computer vision (2017)
Textfinder: an automatic system to detect and recognize text in images
V. Wu;R. Manmatha;E.M. Riseman.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1999)
Word spotting for historical documents
Toni M. Rath;R. Manmatha.
International Journal on Document Analysis and Recognition (2007)
ResNeSt: Split-Attention Networks
Hang Zhang;Chongruo Wu;Zhongyue Zhang;Yi Zhu.
arXiv: Computer Vision and Pattern Recognition (2020)
Finding text in images
Victor Wu;R. Manmatha;Edward M. Riseman.
acm international conference on digital libraries (1997)
A Novel Word Spotting Method Based on Recurrent Neural Networks
V. Frinken;A. Fischer;R. Manmatha;H. Bunke.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2012)
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