no code implementations • 12 Apr 2024 • Chirag Parikh, Rohit Saluja, C. V. Jawahar, Ravi Kiran Sarvadevabhatla
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 efficient navigation.
no code implementations • 5 Mar 2023 • Varun Gupta, Anbumani Subramanian, C. V. Jawahar, Rohit Saluja
MTSVD is challenging compared to the previous works in two aspects i) The traffic signs are generally not present in the vicinity of their cues, ii) The traffic signs cues are diverse and unique.
1 code implementation • 30 Dec 2022 • Prafful Kumar Khoba, Chirag Parikh, Rohit Saluja, Ravi Kiran Sarvadevabhatla, C. V. Jawahar
Along with providing baseline results for existing object detectors on FGVD Dataset, we also present the results of a combination of an existing detector and the recent Hierarchical Residual Network (HRN) classifier for the FGVD task.
no code implementations • 17 Dec 2022 • Ajoy Mondal, Rohit Saluja, C. V. Jawahar
The service providers encourage the users who provide data where the OCR model fails by rewarding them based on data complexity, readability, and available budget.
Handwritten Text Recognition Optical Character Recognition (OCR)
1 code implementation • 18 Apr 2022 • Aman Goyal, Dev Agarwal, Anbumani Subramanian, C. V. Jawahar, Ravi Kiran Sarvadevabhatla, Rohit Saluja
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 involving motorcycles.
1 code implementation • 17 Jan 2022 • Arpit Bahety, Rohit Saluja, Ravi Kiran Sarvadevabhatla, Anbumani Subramanian, C. V. Jawahar
We obtain TCDCA of 96. 77% on the test videos, with a remarkable improvement of 22. 58% over baseline, and demonstrate that our counting module's performance is close to human level.
1 code implementation • 10 Jan 2022 • Sanjana Gunna, Rohit Saluja, C. V. Jawahar
Several controlled experiments are performed on English, by varying the number of (i) fonts to create the synthetic data and (ii) created word images.
no code implementations • 10 Jan 2022 • Sanjana Gunna, Rohit Saluja, C. V. Jawahar
WRRs improve over the baselines by 8%, 4%, 5%, and 3% on the MLT-19 Hindi and Bangla datasets and the Gujarati and Tamil datasets.
1 code implementation • 23 Oct 2021 • Prachi Garg, Rohit Saluja, Vineeth N Balasubramanian, Chetan Arora, Anbumani Subramanian, C. V. Jawahar
Recent efforts in multi-domain learning for semantic segmentation attempt to learn multiple geographical datasets in a universal, joint model.
no code implementations • 11 Sep 2021 • Harish Rithish, Raghava Modhugu, Ranjith Reddy, Rohit Saluja, C. V. Jawahar
Conventional approaches for addressing road safety rely on manual interventions or immobile CCTV infrastructure.
no code implementations • 6 Apr 2021 • Rohit Saluja, Avleen Malhi, Samanta Knapič, Kary Främling, Cicek Cavdar
Machine learning-based systems are rapidly gaining popularity and in-line with that there has been a huge research surge in the field of explainability to ensure that machine learning models are reliable, fair, and can be held liable for their decision-making process.
no code implementations • 6 Apr 2020 • Mukesh Kumar Vishal, Dipesh Tamboli, Abhijeet Patil, Rohit Saluja, Biplab Banerjee, Amit Sethi, Dhandapani Raju, Sudhir Kumar, R N Sahoo, Viswanathan Chinnusamy, J Adinarayana
The present investigation is carried out for discriminating drought tolerant, and susceptible genotypes.