activity
20202022
most citedTransfer Learning for Scene Text Recognition in Indian Languages

16 citations · 28 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2022

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…

cs.CV2022

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…

cs.CV20226 cited

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…

cs.CV202216 cited

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…

cs.CV2021

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…

cs.CV20212 cited

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…