Niranjan Pedanekar

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 25

Top Topics

Domain Expertise

Top Venues

Publications

Prabir Mondal, Siddharth Singh, Kushum, Sriparna Saha, Jyoti Prakash Singh, Brijraj Singh, Niranjan Pedanekar
Efficacy of Large Language Models in Predicting Hindi Movies' Attributes: A Comprehensive Survey and Content-Based Analysis. WWW (Companion Volume) (2024)
Subham Raj, Pawan Agrawal, Sriparna Saha, Brijraj Singh, Niranjan Pedanekar
Optimizing Movie Selections: A Multi-Task, Multi-Modal Framework with Strategies for Missing Modality Challenges. SAC (2024)
Neil Kumar Shah, Vishal Tambrahalli, Saiteja Kosgi, Niranjan Pedanekar, Vineet Gandhi
MParrotTTS: Multilingual Multi-speaker Text to Speech Synthesis in Low Resource Setting. CoRR (2023)
Vivek Srivastava, Savita Bhat, Niranjan Pedanekar
A Few Good Sentences: Content Selection for Abstractive Text Summarization. ECML/PKDD (4) (2023)
Abhinav Thorat, Ravi Kolla, Niranjan Pedanekar, Naoyuki Onoe
Estimation of individual causal effects in network setup for multiple treatments. CoRR (2023)
Neil Kumar Shah, Vivek Srivastava, Mohit Bhardwaj, Satej Kadlay, Dharmeshkumar Agrawal, Savita Bhat, Niranjan Pedanekar
It's What You Say and How You Say It: Exploring Audio and Textual Features for Podcast Data. APSIPA ASC (2023)
Savita Bhat, Vasudeva Varma, Niranjan Pedanekar
Generative Models For Indic Languages: Evaluating Content Generation Capabilities. RANLP (2023)
Bhagyashree Gaikwad, Bhargav Kurma, Manasi S. Patwardhan, Shirish Subhash Karande, Niranjan Pedanekar
Can a Pretrained Language Model Make Sense with Pretrained Neural Extractors? An Application to Multimodal Classification (short paper). DE-FACTIFY@AAAI (2022)
Saiteja Kosgi, Sarath Sivaprasad, Niranjan Pedanekar, Anil Nelakanti, Vineet Gandhi
Empathic Machines: Using Intermediate Features as Levers to Emulate Emotions in Text-To-Speech Systems. NAACL-HLT (2022)
Ragja Palakkadavath, Sarath Sivaprasad, Shirish Subhash Karande, Niranjan Pedanekar
I Know Therefore I Score: Label-Free Crafting of Scoring Functions using Constraints Based on Domain Expertise. CoRR (2022)
Rishabh Agrawal, Sarath Sivaprasad, Niranjan Pedanekar
Color Me Good: Branding in the Coloring Style of Movie Posters. CVPR Workshops (2021)
Vivek Srivastava, Stephen Pilli, Savita Bhat, Niranjan Pedanekar, Shirish Subhash Karande
What BERTs and GPTs know about your brand? Probing contextual language models for affect associations. DeeLIO@NAACL-HLT (2021)
Bhagyashree Gaikwad, Ankita Sontakke, Manasi S. Patwardhan, Niranjan Pedanekar, Shirish Subhash Karande
Plots to Previews: Towards Automatic Movie Preview Retrieval using Publicly Available Meta-data. ICCVW (2021)
Stephen Pilli, Manasi S. Patwardhan, Niranjan Pedanekar, Shirish Subhash Karande
Predicting Sentiments in Image Advertisements using Semantic Relations among Sentiment Labels. CVPR Workshops (2020)
Yashaswi Rauthan, Vatsala Singh, Rishabh Agrawal, Satej Kadlay, Niranjan Pedanekar, Shirish Subhash Karande, Manasi Malik, Iaphi Tariang
Avoid Crowding in the Battlefield: Semantic Placement of Social Messages in Entertainment Programs. AI4TV@MM (2020)
Tanmayee Joshi, Sarath Sivaprasad, Niranjan Pedanekar
Partners in Crime: Utilizing Arousal-Valence Relationship for Continuous Prediction of Valence in Movies. AffCon@AAAI (2019)
Tanmayee Joshi, Sarath Sivaprasad, Savita Bhat, Niranjan Pedanekar
Multimodal Approach to Predicting Media Memorability. MediaEval (2018)
Sarath Sivaprasad, Tanmayee Joshi, Rishabh Agrawal, Niranjan Pedanekar
Multimodal Continuous Prediction of Emotions in Movies using Long Short-Term Memory Networks. ICMR (2018)
Rohit Saxena, Savita Bhat, Niranjan Pedanekar
EmotionX-Area66: Predicting Emotions in Dialogues using Hierarchical Attention Network with Sequence Labeling. SocialNLP@ACL (2018)
Rohit Saxena, Savita Bhat, Niranjan Pedanekar
Live on TV, Alive on Twitter: Quantifying Continuous Partial Attention of Viewers During Live Television Telecasts. ICDM Workshops (2017)
Rohit Saxena, Niranjan Pedanekar
I Know What You Coded Last Summer: Mining Candidate Expertise from GitHub Repositories. CSCW Companion (2017)
Varun Kumar, Niranjan Pedanekar
Mining Shapes of Expertise in Online Social Q&A Communities. CSCW Companion (2016)
Abhay Doke, Niranjan Pedanekar
Lights, Camera, but No Action: Exploring Affective Audio-Visual Features of Educational Videos (Abstract Only). SIGCSE (2016)
Gaurav Kumar Singh, Varun Kumar, Savita Bhat, Niranjan Pedanekar
Automatically augmenting learning material with practical questions to increase its relevance. FIE (2015)
Varun Kumar, Savita Bhat, Niranjan Pedanekar
Stickipedia: A Search Engine and Repository for Explanatory Analogies. ICALT (2015)
Abhay Doke, Gaurav Kumar Singh, Varun Kumar, Savita Bhat, Niranjan Pedanekar
Which hat are you wearing today? Enabling perspectives while learning computer science. FIE (2014)
Gaurav Kumar Singh, Abhay Doke, Varun Kumar, Savita Bhat, Niranjan Pedanekar
Assessing the Need of Augmenting Video Lectures with Supporting Information. HCI (14) (2014)
Varun Kumar, Savita Bhat, Niranjan Pedanekar
Automatically Retrieving Explanatory Analogies from Webpages. ECIR (2014)
Vikram Nair, Vijayanand Banahatti, Niranjan Pedanekar
TAGZILLA: Tag-Based File Storage and Retrieval. HCI (13) (2013)
Naman Gandhi, Vinit Gaikwad, Pratik Kasat, Nikita Garg, Abhay Doke, Varun Kumar, Shirish Subhash Karande, Vijayanand Banahatti, Niranjan Pedanekar
PUSTACK: towards an augmented, scalable and personalized interface for paper textbooks. APCHI (2013)