Deep Feature Embedding for Accurate Recognition and Retrieval of Handwritten Text. - Praveen Krishnan; Kartik Dutta; C. V. Jawahar (ICFHR, 2016)

Towards Accurate Handwritten Word Recognition for Hindi and Bangla. - Kartik Dutta; Praveen Krishnan; Minesh Mathew; C. V. Jawahar (NCVPRIPG, 2017)

Offline Handwriting Recognition on Devanagari Using a New Benchmark Dataset. - Kartik Dutta; Praveen Krishnan; Minesh Mathew; C. V. Jawahar (DAS, 2018)

Word Spotting and Recognition Using Deep Embedding. - Praveen Krishnan; Kartik Dutta; C. V. Jawahar (DAS, 2018)

Towards Spotting and Recognition of Handwritten Words in Indic Scripts. - Kartik Dutta; Praveen Krishnan; Minesh Mathew; C. V. Jawahar (ICFHR, 2018)

Improving CNN-RNN Hybrid Networks for Handwriting Recognition. - Kartik Dutta; Praveen Krishnan; Minesh Mathew; C. V. Jawahar (ICFHR, 2018)

Localizing and Recognizing Text in Lecture Videos. - Kartik Dutta; Minesh Mathew; Praveen Krishnan; C. V. Jawahar (ICFHR, 2018)

DWEN: deep word embedding network for duplicate bug report detection in software repositories. - Amar Budhiraja; Kartik Dutta; Raghu Reddy; Manish Shrivastava 001 (ICSE (Companion Volume), 2018)

Towards Word Embeddings for Improved Duplicate Bug Report Retrieval in Software Repositories. - Amar Budhiraja; Kartik Dutta; Manish Shrivastava 001; Raghu Reddy (ICTIR, 2018)

HWNet v3: a joint embedding framework for recognition and retrieval of handwritten text. - Praveen Krishnan; Kartik Dutta; C. V. Jawahar (Int. J. Document Anal. Recognit., 2023)