16 citations · 36 across the 13 of their papers we have counts for
6 papers · 1 filter
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…