Niranjan Pedanekar

According to our database, Niranjan Pedanekar authored at least 30 papers between 2013 and 2024.

Collaborative distances:

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

2024

Efficacy of Large Language Models in Predicting Hindi Movies' Attributes: A Comprehensive Survey and Content-Based Analysis.

Prabir Mondal, Siddharth Singh, Kushum, Sriparna Saha, Jyoti Prakash Singh, Brijraj Singh, Niranjan Pedanekar

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Optimizing Movie Selections: A Multi-Task, Multi-Modal Framework with Strategies for Missing Modality Challenges.

Subham Raj, Pawan Agrawal, Sriparna Saha, Brijraj Singh, Niranjan Pedanekar

Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

2023

Estimation of individual causal effects in network setup for multiple treatments.

Abhinav Thorat, Ravi Kolla, Niranjan Pedanekar, Naoyuki Onoe

CoRR, 2023

MParrotTTS: Multilingual Multi-speaker Text to Speech Synthesis in Low Resource Setting.

Neil Kumar Shah, Vishal Tambrahalli, Saiteja Kosgi, Niranjan Pedanekar, Vineet Gandhi

CoRR, 2023

Generative Models For Indic Languages: Evaluating Content Generation Capabilities.

Savita Bhat, Vasudeva Varma, Niranjan Pedanekar

Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023

A Few Good Sentences: Content Selection for Abstractive Text Summarization.

Vivek Srivastava, Savita Bhat, Niranjan Pedanekar

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

It's What You Say and How You Say It: Exploring Audio and Textual Features for Podcast Data.

Neil Kumar Shah, Vivek Srivastava, Mohit Bhardwaj, Satej Kadlay, Dharmeshkumar Agrawal, Savita Bhat, Niranjan Pedanekar

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

2022

I Know Therefore I Score: Label-Free Crafting of Scoring Functions using Constraints Based on Domain Expertise.

Ragja Palakkadavath, Sarath Sivaprasad, Shirish Karande, Niranjan Pedanekar

CoRR, 2022

Empathic Machines: Using Intermediate Features as Levers to Emulate Emotions in Text-To-Speech Systems.

Saiteja Kosgi, Sarath Sivaprasad, Niranjan Pedanekar, Anil Nelakanti, Vineet Gandhi

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Can a Pretrained Language Model Make Sense with Pretrained Neural Extractors? An Application to Multimodal Classification (short paper).

Bhagyashree Gaikwad, Bhargav Kurma, Manasi Patwardhan, Shirish Karande, Niranjan Pedanekar

Proceedings of the Workshop on Multi-Modal Fake News and Hate-Speech Detection (DE-FACTIFY 2022) co-located with the Thirty-Sixth AAAI Conference on Artificial Intelligence ( AAAI 2022), 2022

2021

Plots to Previews: Towards Automatic Movie Preview Retrieval using Publicly Available Meta-data.

Bhagyashree Gaikwad, Ankita Sontakke, Manasi Patwardhan, Niranjan Pedanekar, Shirish Karande

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Color Me Good: Branding in the Coloring Style of Movie Posters.

Rishabh Agrawal, Sarath Sivaprasad, Niranjan Pedanekar

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

What BERTs and GPTs know about your brand? Probing contextual language models for affect associations.

Vivek Srivastava, Stephen Pilli, Savita Bhat, Niranjan Pedanekar, Shirish Karande

Proceedings of Deep Learning Inside Out: The 2nd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, 2021

2020

Avoid Crowding in the Battlefield: Semantic Placement of Social Messages in Entertainment Programs.

Yashaswi Rauthan, Vatsala Singh, Rishabh Agrawal, Satej Kadlay, Niranjan Pedanekar, Shirish Karande, Manasi Malik, Iaphi Tariang

Proceedings of the AI4TV '20: Proceedings of the 2nd International Workshop on AI for Smart TV Content Production, 2020

Predicting Sentiments in Image Advertisements using Semantic Relations among Sentiment Labels.

Stephen Pilli, Manasi Patwardhan, Niranjan Pedanekar, Shirish Karande

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Partners in Crime: Utilizing Arousal-Valence Relationship for Continuous Prediction of Valence in Movies.

Tanmayee Joshi, Sarath Sivaprasad, Niranjan Pedanekar

Proceedings of the 2nd Workshop on Affective Content Analysis (AffCon 2019) co-located with Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), 2019

2018

Multimodal Continuous Prediction of Emotions in Movies using Long Short-Term Memory Networks.

Sarath Sivaprasad, Tanmayee Joshi, Rishabh Agrawal, Niranjan Pedanekar

Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

Multimodal Approach to Predicting Media Memorability.

Tanmayee Joshi, Sarath Sivaprasad, Savita Bhat, Niranjan Pedanekar

Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

EmotionX-Area66: Predicting Emotions in Dialogues using Hierarchical Attention Network with Sequence Labeling.

Rohit Saxena, Savita Bhat, Niranjan Pedanekar

Proceedings of the Sixth International Workshop on Natural Language Processing for Social Media, 2018

2017

Live on TV, Alive on Twitter: Quantifying Continuous Partial Attention of Viewers During Live Television Telecasts.

Rohit Saxena, Savita Bhat, Niranjan Pedanekar

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

I Know What You Coded Last Summer: Mining Candidate Expertise from GitHub Repositories.

Rohit Saxena, Niranjan Pedanekar

Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2017

2016

Lights, Camera, but No Action: Exploring Affective Audio-Visual Features of Educational Videos (Abstract Only).

Abhay Doke, Niranjan Pedanekar

Proceedings of the 47th ACM Technical Symposium on Computing Science Education, 2016

Mining Shapes of Expertise in Online Social Q&A Communities.

Varun Kumar, Niranjan Pedanekar

Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing, 2016

2015

Stickipedia: A Search Engine and Repository for Explanatory Analogies.

Varun Kumar, Savita Bhat, Niranjan Pedanekar

Proceedings of the 15th IEEE International Conference on Advanced Learning Technologies, 2015

Automatically augmenting learning material with practical questions to increase its relevance.

Gaurav Kumar Singh, Varun Kumar, Savita Bhat, Niranjan Pedanekar

Proceedings of the 2015 IEEE Frontiers in Education Conference, 2015

2014

Assessing the Need of Augmenting Video Lectures with Supporting Information.

Gaurav Kumar Singh, Abhay Doke, Varun Kumar, Savita Bhat, Niranjan Pedanekar

Proceedings of the Learning and Collaboration Technologies. Designing and Developing Novel Learning Experiences, 2014

Which hat are you wearing today? Enabling perspectives while learning computer science.

Abhay Doke, Gaurav Kumar Singh, Varun Kumar, Savita Bhat, Niranjan Pedanekar

Proceedings of the IEEE Frontiers in Education Conference, 2014

Automatically Retrieving Explanatory Analogies from Webpages.

Varun Kumar, Savita Bhat, Niranjan Pedanekar

Proceedings of the Advances in Information Retrieval, 2014

2013

TAGZILLA: Tag-Based File Storage and Retrieval.

Vikram Nair, Vijayanand Banahatti, Niranjan Pedanekar

Proceedings of the Human Interface and the Management of Information. Information and Interaction Design, 2013

PUSTACK: towards an augmented, scalable and personalized interface for paper textbooks.

Naman Gandhi, Vinit Gaikwad, Pratik Kasat, Nikita Garg, Abhay Doke, Varun Kumar, Shirish S. Karande, Vijayanand Banahatti, Niranjan Pedanekar

Proceedings of the 11th Asia Pacific Conference on Computer Human Interaction, 2013