Aniruddh Kanojia
Areas of Interest: Deep Learning
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Address: CVIT, IIIT-H
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Abhishek Jha
Areas of Interest: Computer Vision, Document Image Retrieval, Machine Learning
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Address: CVIT, IIIT-H
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Personal Home Page: https://abskjha.github.io/
Publications
Abhishek Jha, Vinay Namboodiri and C.V. Jawahar - Word Spotting in Silent Lip Videos, IEEE Winter Conference on Applications of Computer Vision (WACV 2018), Lake Tahoe, CA, USA, 2018 [PDF]
Projects
Word Spotting in Silent Lip Videos
People Involved :Abhishek Jha, Vinay Namboodiri and C. V. Jawahar
Our goal is to spot words in silent speech videos without explicitly recognizing the spoken words, where the lip motion of the speaker is clearly visible and audio is absent. Existing work in this domain has mainly focused on recognizing a fixed set of words in word-segmented lip videos, which limits the applicability of the learned model due to limited vocabulary and high dependency on the model's recognition performance.
Kartik Dutta
Areas of Interest: Computer Vision, Document Image Retrieval, Machine Learning
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Address: CVIT, IIIT-H
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Personal Home Page: http:researchweb.iiit.ac.in/~kartik.dutta
Publications
Kartik Dutta, Praveen Krishnan, Minesh Mathew and C.V. Jawahar - Improving CNN-RNN Hybrid Networks for Handwriting Recognition The 16th International Conference on Frontiers in Handwriting Recognition,Niagara Falls, USA [PDF]
Kartik Dutta, Praveen Krishnan, Minesh Mathew and C.V. Jawahar - Towards Spotting and Recognition of Handwritten Words in Indic Scripts The 16th International Conference on Frontiers in Handwriting Recognition,Niagara Falls, USA [PDF]
Kartik Dutta, Praveen Krishnan, Minesh Mathew and C.V. Jawahar - Localizing and Recognizing Text in Lecture Videos The 16th International Conference on Frontiers in Handwriting Recognition,Niagara Falls, USA [PDF]
Praveen Krishnan, Kartik Dutta and C. V. Jawahar - Word Spotting and Recognition using Deep Embedding, Proceedings of the 13th IAPR International Workshop on Document Analysis Systems, 24-27 April 2018, Vienna, Austria. [PDF]
Kartik Dutta,Praveen Krishnan, Minesh Mathew and C. V. Jawahar - Offline Handwriting Recognition on Devanagari using a new Benchmark Dataset, Proceedings of the 13th IAPR International Workshop on Document Analysis Systems, 24-27 April 2018, Vienna, Austria. [PDF]
Kartik Dutta, Praveen Krishnan, Minesh Mathew, and C. V. Jawahar - Towards Accurate Handwritten Word Recognition for Hindi and Bangla National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2017 [PDF]
Projects
LectureVideoDB - A dataset for text detection and Recognition in Lecture Videos
People Involved : Kartik Dutta, Minesh Mathew, Praveen Krishnan and CV Jawahar
Lecture videos are rich with textual information and to be able to understand the text is quite useful for larger video understanding/analysis applications. Though text recognition from images have been an active research area in computer vision, text in lecture videos has mostly been overlooked. In this work, we investigate the efficacy of state-of-the art handwritten and scene text recognition methods on text in lecture videos
Word level Handwritten datasets for Indic scripts
People Involved : Kartik Dutta, Praveen Krishnan, Minesh Mathew and CV Jawahar
Handwriting recognition (HWR) in Indic scripts is a challenging problem due to the inherent subtleties in the scripts, cursive nature of the handwriting and similar shape of the characters. Lack of publicly available handwriting datasets in Indic scripts has affected the development of handwritten word recognizers. In order to help resolve this problem, we release 2 handwritten word datasets: IIIT-HW-Dev, a Devanagari dataset and IIIT-HW-Telugu, a Telugu dataset.
Sukanya Kudi
Areas of Interest: Computer Vision, Machine learning
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Address: CVIT, IIIT-H
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Publications
Sukanya Kudi and Anoop Namboodiri - Words speak for Actions: Using Text to find Video Highlights 4th Asian Conference on Pattern Recognition (ACPR 2017), Nanjing, China, 2017. [PDF]
Projects
Soham Saha
Areas of Interest: Machine Learning, Efficient Deep Learning
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Address: CVIT, IIIT-H
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Personal Home Page:
Publications
Projects