Advaitha Vetagiri

According to our database, Advaitha Vetagiri authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Real-Time Helmet Detection and Number Plate Extraction Using Computer Vision.

Jyoti Prakash-Borah, Prakash Devnani, Sumon Kumar-Das, Advaitha Vetagiri, Partha Pakray

Computación y Sistemas (CyS), 2024

Breaking the Silence Detecting and Mitigating Gendered Abuse in Hindi, Tamil, and Indian English Online Spaces.

Advaitha Vetagiri, Gyandeep Kalita, Eisha Halder, Chetna Taparia, Partha Pakray, Riyanka Manna

CoRR, 2024

Findings of WMT 2024 Shared Task on Low-Resource Indic Languages Translation.

Partha Pakray, Santanu Pal, Advaitha Vetagiri, Reddi Krishna, Arnab Kumar Maji, Sandeep Kumar Dash, Lenin Laitonjam, Lyngdoh Sarah, Riyanka Manna

Proceedings of the Ninth Conference on Machine Translation, 2024

Cracking Down on Digital Misogyny with MULTILATE a MULTImodaL hATE Detection System.

Advaitha Vetagiri, Prateek Mogha, Partha Pakray

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

2023

CNLP-NITS at SemEval-2023 Task 10: Online sexism prediction, PREDHATE!

Advaitha Vetagiri, Prottay Kumar Adhikary, Partha Pakray, Amitava Das

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Examining Hate Speech Detection Across Multiple Indo-Aryan Languages in Tasks 1 & 4.

Gyandeep Kalita, Eisha Halder, Chetna Taparia, Advaitha Vetagiri, Partha Pakray

Proceedings of the Working Notes of FIRE 2023, 2023

Addressing Hate Speech: ATLANTIS for Efficient Hate Span Detection.

Niyar R. Barman, Krish Sharma, Yashraj Poddar, Advaitha Vetagiri, Partha Pakray

Proceedings of the Working Notes of FIRE 2023, 2023

Leveraging GPT-2 for Automated Classification of Online Sexist Content.

Advaitha Vetagiri, Prottay Kumar Adhikary, Partha Pakray, Amitava Das

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

2022

An accurate foreground moving object detection based on segmentation techniques and optimal classifier.

Melam Nagaraju, B. Sobhan Babu, Meduri V. N. S. S. R. K. Sai Somayajulu, K. Subrahmanya Kousik Sarma, Advaitha Vetagiri

Concurr. Comput. Pract. Exp., 2022