850 citations · 1.7k across the 63 of their papers we have counts for
69 papers
IndicSTR12: A Dataset for Indic Scene Text Recognition
Harsh Lunia, Ajoy Mondal, C V Jawahar
The importance of Scene Text Recognition (STR) in today's increasingly digital world cannot be overstated. Given the significance of STR, data intensive deep learning approaches th…
Enhancing Indic Handwritten Text Recognition Using Global Semantic Information
Ajoy Mondal, C. V. Jawahar
Handwritten Text Recognition (HTR) is more interesting and challenging than printed text due to uneven variations in the handwriting style of the writers, content, and time. HTR be…
Information Retrieval from the Digitized Books
Riya Gupta, C. V. Jawahar
Extracting the relevant information out of a large number of documents is a challenging and tedious task. The quality of results generated by the traditionally available full-text…
Classroom Slide Narration System
Jobin K. V., Ajoy Mondal, C. V. Jawahar
Slide presentations are an effective and efficient tool used by the teaching community for classroom communication. However, this teaching model can be challenging for blind and vi…
Automatic Quantification and Visualization of Street Trees
Arpit Bahety, Rohit Saluja, Ravi Kiran Sarvadevabhatla +2
Assessing the number of street trees is essential for evaluating urban greenery and can help municipalities employ solutions to identify tree-starved streets. It can also help iden…
Towards Boosting the Accuracy of Non-Latin Scene Text Recognition
Sanjana Gunna, Rohit Saluja, C. V. Jawahar
Scene-text recognition is remarkably better in Latin languages than the non-Latin languages due to several factors like multiple fonts, simplistic vocabulary statistics, updated da…
Transfer Learning for Scene Text Recognition in Indian Languages
Sanjana Gunna, Rohit Saluja, C. V. Jawahar
Scene text recognition in low-resource Indian languages is challenging because of complexities like multiple scripts, fonts, text size, and orientations. In this work, we investiga…
Personalized One-Shot Lipreading for an ALS Patient
Bipasha Sen, Aditya Agarwal, Rudrabha Mukhopadhyay +2
Lipreading or visually recognizing speech from the mouth movements of a speaker is a challenging and mentally taxing task. Unfortunately, multiple medical conditions force people t…
Intelligent Video Editing: Incorporating Modern Talking Face Generation Algorithms in a Video Editor
Anchit Gupta, Faizan Farooq Khan, Rudrabha Mukhopadhyay +2
This paper proposes a video editor based on OpenShot with several state-of-the-art facial video editing algorithms as added functionalities. Our editor provides an easy-to-use inte…
Asking questions on handwritten document collections
Minesh Mathew, Lluis Gomez, Dimosthenis Karatzas +1
This work addresses the problem of Question Answering (QA) on handwritten document collections. Unlike typical QA and Visual Question Answering (VQA) formulations where the answer…
Ego4D: Around the World in 3,000 Hours of Egocentric Video
Kristen Grauman, Andrew Westbury, Eugene Byrne +82
We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It offers 3,670 hours of daily-life activity video spanning hundreds of scenarios (household, outd…
Evaluating Computer Vision Techniques for Urban Mobility on Large-Scale, Unconstrained Roads
Harish Rithish, Raghava Modhugu, Ranjith Reddy +2
Conventional approaches for addressing road safety rely on manual interventions or immobile CCTV infrastructure. Such methods are expensive in enforcing compliance to traffic rules…
More Parameters? No Thanks!
Zeeshan Khan, Kartheek Akella, Vinay P. Namboodiri +1
This work studies the long-standing problems of model capacity and negative interference in multilingual neural machine translation MNMT. We use network pruning techniques and obse…
ICDAR2019 Competition on Scanned Receipt OCR and Information Extraction
Zheng Huang, Kai Chen, Jianhua He +4
Scanned receipts OCR and key information extraction (SROIE) represent the processeses of recognizing text from scanned receipts and extracting key texts from them and save the extr…
Few Shot Learning With No Labels
Aditya Bharti, N. B. Vineeth, C. V. Jawahar
Few-shot learners aim to recognize new categories given only a small number of training samples. The core challenge is to avoid overfitting to the limited data while ensuring good…
Visual Speech Enhancement Without A Real Visual Stream
Sindhu B Hegde, K R Prajwal, Rudrabha Mukhopadhyay +2
In this work, we re-think the task of speech enhancement in unconstrained real-world environments. Current state-of-the-art methods use only the audio stream and are limited in the…
Exploring Pair-Wise NMT for Indian Languages
Kartheek Akella, Sai Himal Allu, Sridhar Suresh Ragupathi +4
In this paper, we address the task of improving pair-wise machine translation for specific low resource Indian languages. Multilingual NMT models have demonstrated a reasonable amo…
Improving Word Recognition using Multiple Hypotheses and Deep Embeddings
Siddhant Bansal, Praveen Krishnan, C. V. Jawahar
We propose a novel scheme for improving the word recognition accuracy using word image embeddings. We use a trained text recognizer, which can predict multiple text hypothesis for…
Table Structure Recognition using Top-Down and Bottom-Up Cues
Sachin Raja, Ajoy Mondal, C. V. Jawahar
Tables are information-rich structured objects in document images. While significant work has been done in localizing tables as graphic objects in document images, only limited att…
Graphical Object Detection in Document Images
Ranajit Saha, Ajoy Mondal, C. V. Jawahar
Graphical elements: particularly tables and figures contain a visual summary of the most valuable information contained in a document. Therefore, localization of such graphical obj…
CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images
Madhav Agarwal, Ajoy Mondal, C. V. Jawahar
Localizing page elements/objects such as tables, figures, equations, etc. is the primary step in extracting information from document images. We propose a novel end-to-end trainabl…
A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wild
K R Prajwal, Rudrabha Mukhopadhyay, Vinay Namboodiri +1
In this work, we investigate the problem of lip-syncing a talking face video of an arbitrary identity to match a target speech segment. Current works excel at producing accurate li…
IIIT-AR-13K: A New Dataset for Graphical Object Detection in Documents
Ajoy Mondal, Peter Lipps, C. V. Jawahar
We introduce a new dataset for graphical object detection in business documents, more specifically annual reports. This dataset, IIIT-AR-13k, is created by manually annotating the…
Document Visual Question Answering Challenge 2020
Minesh Mathew, Ruben Tito, Dimosthenis Karatzas +2
This paper presents results of Document Visual Question Answering Challenge organized as part of "Text and Documents in the Deep Learning Era" workshop, in CVPR 2020. The challenge…