16 citations · 36 across the 13 of their papers we have counts for
13 papers
Multilingual Tokenization through the Lens of Indian Languages: Challenges and Insights
Maharaj Brahma, N J Karthika, Rajat Verma +4
Tokenization plays a pivotal role in NLP and is fundamental to training language models. However, existing tokenizers are often skewed towards high-resource languages, limiting the…
MorphTok: Morphologically Grounded Tokenization for Indian Languages
Maharaj Brahma, N J Karthika, Atul Singh +5
Tokenization is a crucial step in NLP, especially with the rise of large language models (LLMs), impacting downstream performance, computational cost, and efficiency. Existing LLMs…
IDD-X: A Multi-View Dataset for Ego-relative Important Object Localization and Explanation in Dense and Unstructured Traffic
Chirag Parikh, Rohit Saluja, C. V. Jawahar +1
Intelligent vehicle systems require a deep understanding of the interplay between road conditions, surrounding entities, and the ego vehicle's driving behavior for safe and efficie…
CueCAn: Cue Driven Contextual Attention For Identifying Missing Traffic Signs on Unconstrained Roads
Varun Gupta, Anbumani Subramanian, C. V. Jawahar +1
Unconstrained Asian roads often involve poor infrastructure, affecting overall road safety. Missing traffic signs are a regular part of such roads. Missing or non-existing object d…
A Fine-Grained Vehicle Detection (FGVD) Dataset for Unconstrained Roads
Prafful Kumar Khoba, Chirag Parikh, Rohit Saluja +2
The previous fine-grained datasets mainly focus on classification and are often captured in a controlled setup, with the camera focusing on the objects. We introduce the first Fine…
Towards Robust Handwritten Text Recognition with On-the-fly User Participation
Ajoy Mondal, Rohit saluja, C. V. Jawahar
Long-term OCR services aim to provide high-quality output to their users at competitive costs. It is essential to upgrade the models because of the complex data loaded by the users…
Detecting, Tracking and Counting Motorcycle Rider Traffic Violations on Unconstrained Roads
Aman Goyal, Dev Agarwal, Anbumani Subramanian +3
In many Asian countries with unconstrained road traffic conditions, driving violations such as not wearing helmets and triple-riding are a significant source of fatalities involvin…
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…
Multi-Domain Incremental Learning for Semantic Segmentation
Prachi Garg, Rohit Saluja, Vineeth N Balasubramanian +3
Recent efforts in multi-domain learning for semantic segmentation attempt to learn multiple geographical datasets in a universal, joint model. A simple fine-tuning experiment perfo…
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…
Image-based phenotyping of diverse Rice (Oryza Sativa L.) Genotypes
Mukesh Kumar Vishal, Dipesh Tamboli, Abhijeet Patil +8
Development of either drought-resistant or drought-tolerant varieties in rice (Oryza sativa L.), especially for high yield in the context of climate change, is a crucial task acros…