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Ajeet Kumar Singh
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2020 – today
- 2024
- [c14]Ashok Urlana, Aditya Saibewar, Bala Mallikarjunarao Garlapati, Charaka Vinayak Kumar, Ajeet Kumar Singh, Srinivasa Rao Chalamala:
TrustAI at SemEval-2024 Task 8: A Comprehensive Analysis of Multi-domain Machine Generated Text Detection Techniques. SemEval@NAACL 2024: 927-934 - [i6]Ashok Urlana, Charaka Vinayak Kumar, Ajeet Kumar Singh, Bala Mallikarjunarao Garlapati, Srinivasa Rao Chalamala, Rahul Mishra:
LLMs with Industrial Lens: Deciphering the Challenges and Prospects - A Survey. CoRR abs/2402.14558 (2024) - [i5]Ashok Urlana, Aditya Saibewar, Bala Mallikarjunarao Garlapati, Charaka Vinayak Kumar, Ajeet Kumar Singh, Srinivasa Rao Chalamala:
TrustAI at SemEval-2024 Task 8: A Comprehensive Analysis of Multi-domain Machine Generated Text Detection Techniques. CoRR abs/2403.16592 (2024) - [i4]Ashok Urlana, Charaka Vinayak Kumar, Bala Mallikarjunarao Garlapati, Ajeet Kumar Singh, Rahul Mishra:
No Size Fits All: The Perils and Pitfalls of Leveraging LLMs Vary with Company Size. CoRR abs/2408.01444 (2024) - 2022
- [c13]Bala Mallikarjunarao Garlapati, Ajeet Kumar Singh, Srinivasa Rao Chalamala:
A Robust Method to Protect Text Classification Models against Adversarial Attacks. FLAIRS 2022 - 2021
- [c12]Preetam Prabhu Srikar Dammu, Srinivasa Rao Chalamala, Ajeet Kumar Singh:
Explainable and Personalized Privacy Prediction. CIKM Workshops 2021 - [c11]Preetam Prabhu Srikar Dammu, Srinivasa Rao Chalamala, Ajeet Kumar Singh, Bayya Yegnanarayana:
Interpretable and Robust Face Verification. CIKM Workshops 2021 - 2020
- [c10]Imtiyazuddin Shaik, Ajeet Kumar Singh, Harika Narumanchi, Nitesh Emmadi, Rajan Mindigal Alasingara Bhattachar:
A Recommender System for Efficient Implementation of Privacy Preserving Machine Learning Primitives Based on FHE. CSCML 2020: 193-218 - [i3]Kanish Garg, Ajeet Kumar Singh, Dorien Herremans
, Brejesh Lall:
PerceptionGAN: Real-world Image Construction from Provided Text through Perceptual Understanding. CoRR abs/2007.00977 (2020)
2010 – 2019
- 2019
- [c9]Harshal Tupsamudre, Ajeet Kumar Singh, Sachin Lodha:
Everything Is in the Name - A URL Based Approach for Phishing Detection. CSCML 2019: 231-248 - [c8]Ajeet Kumar Singh, Anand Mishra
From Strings to Things: Knowledge-Enabled VQA Model That Can Read and Reason. ICCV 2019: 4601-4611 - [c7]Anand Mishra
OCR-VQA: Visual Question Answering by Reading Text in Images. ICDAR 2019: 947-952 - [i2]Prashant Anand, Ajeet Kumar Singh, Siddharth Srivastava, Brejesh Lall:
Few Shot Speaker Recognition using Deep Neural Networks. CoRR abs/1904.08775 (2019) - 2018
- [c6]Anand Mishra
Deep Embedding Using Bayesian Risk Minimization with Application to Sketch Recognition. ACCV (5) 2018: 357-370 - [i1]Anand Mishra, Ajeet Kumar Singh:
Deep Embedding using Bayesian Risk Minimization with Application to Sketch Recognition. CoRR abs/1812.02466 (2018) - 2016
- [c5]Minesh Mathew, Ajeet Kumar Singh, C. V. Jawahar
Multilingual OCR for Indic Scripts. DAS 2016: 186-191 - [c4]Ajeet Kumar Singh, Anand Mishra
A Simple and Effective Solution for Script Identification in the Wild. DAS 2016: 428-433 - 2015
- [c3]Arzad Alam Kherani, Anand Sudhakar Chiddarwar, Ajeet Kumar Singh:
Power and QoS optimization for BLE-based Accessory-Smartphone communications. CCNC 2015: 394-399 - [c2]Ajeet Kumar Singh, C. V. Jawahar
Can RNNs reliably separate script and language at word and line level? ICDAR 2015: 976-980 - 2014
- [c1]Praveen Krishnan, Naveen Sankaran, Ajeet Kumar Singh, C. V. Jawahar
Towards a Robust OCR System for Indic Scripts. Document Analysis Systems 2014: 141-145
Coauthor Index
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last updated on 2024-11-18 20:43 CET by the dblp team
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