| Mucot: Multilingual contrastive training for question-answering in low-resource languages GK Kumar, AS Gehlot, SS Mullappilly, K Nandakumar arXiv preprint arXiv:2204.05814, 2022 | 10 | 2022 |
| An Empirical Study Of Self-supervised Learning Approaches For Object Detection With Transformers GK Kumar, SS Mullappilly, AS Gehlot arXiv preprint arXiv:2205.05543, 2022 | 1 | 2022 |
| Semi-supervised Open-World Object Detection SS Mullappilly, AS Gehlot, RM Anwer, FS Khan, H Cholakkal arXiv preprint arXiv:2402.16013, 2024 | | 2024 |
| Semi-supervised Open-World Object Detection S Shaji Mullappilly, A Singh Gehlot, RM Anwer, F Shahbaz Khan, ... arXiv e-prints, arXiv: 2402.16013, 2024 | | 2024 |
| Open World Object Detection in Satellite Images AS Gehlot | | 2023 |
| MuCoT: Multilingual Contrastive Training for Question-Answering in Low-resource Languages GKKAS Gehlot, SSMK Nandakumar DravidianLangTech 2022, 15, 2022 | | 2022 |
| An Empirical Study Of Self-supervised Learning Approaches For Object Detection With Transformers G Karthik Kumar, S Shaji Mullappilly, A Singh Gehlot arXiv e-prints, arXiv: 2205.05543, 2022 | | 2022 |
| MuCoT: Multilingual Contrastive Training for Question-Answering in Low-resource Languages G Karthik Kumar, A Singh Gehlot, S Shaji Mullappilly, K Nandakumar arXiv e-prints, arXiv: 2204.05814, 2022 | | 2022 |
| Refinement Image Regeneration A Gehlot, A Kumar, SA Sampson 2021 Innovations in Power and Advanced Computing Technologies (i-PACT), 1-6, 2021 | | 2021 |
| Stock Market Trend Prediction Using Regression Model, RNNs, and Sentiment Analysis R Sujatha, V Abhyankar, A Gehlot, P Gupta, S Subramaniam Advances in Automation, Signal Processing, Instrumentation, and Control …, 2021 | | 2021 |
