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 (APCHI, 2013)

TAGZILLA: Tag-Based File Storage and Retrieval. - Vikram Nair; Vijayanand Banahatti; Niranjan Pedanekar (HCI (13), 2013)

Automatically Retrieving Explanatory Analogies from Webpages. - Varun Kumar; Savita Bhat; Niranjan Pedanekar (ECIR, 2014)

Which hat are you wearing today? Enabling perspectives while learning computer science. - Abhay Doke; Gaurav Kumar Singh; Varun Kumar; Savita Bhat; Niranjan Pedanekar (FIE, 2014)

Assessing the Need of Augmenting Video Lectures with Supporting Information. - Gaurav Kumar Singh; Abhay Doke; Varun Kumar; Savita Bhat; Niranjan Pedanekar (HCI (14), 2014)

Automatically augmenting learning material with practical questions to increase its relevance. - Gaurav Kumar Singh; Varun Kumar; Savita Bhat; Niranjan Pedanekar (FIE, 2015)

Stickipedia: A Search Engine and Repository for Explanatory Analogies. - Varun Kumar; Savita Bhat; Niranjan Pedanekar (ICALT, 2015)

Mining Shapes of Expertise in Online Social Q&A Communities. - Varun Kumar; Niranjan Pedanekar (CSCW Companion, 2016)

Lights, Camera, but No Action: Exploring Affective Audio-Visual Features of Educational Videos (Abstract Only). - Abhay Doke; Niranjan Pedanekar (SIGCSE, 2016)

I Know What You Coded Last Summer: Mining Candidate Expertise from GitHub Repositories. - Rohit Saxena; Niranjan Pedanekar (CSCW Companion, 2017)

Live on TV, Alive on Twitter: Quantifying Continuous Partial Attention of Viewers During Live Television Telecasts. - Rohit Saxena; Savita Bhat; Niranjan Pedanekar (ICDM Workshops, 2017)

EmotionX-Area66: Predicting Emotions in Dialogues using Hierarchical Attention Network with Sequence Labeling. - Rohit Saxena; Savita Bhat; Niranjan Pedanekar (SocialNLP@ACL, 2018)

Multimodal Approach to Predicting Media Memorability. - Tanmayee Joshi; Sarath Sivaprasad; Savita Bhat; Niranjan Pedanekar (MediaEval, 2018)

Multimodal Continuous Prediction of Emotions in Movies using Long Short-Term Memory Networks. - Sarath Sivaprasad; Tanmayee Joshi; Rishabh Agrawal; Niranjan Pedanekar (ICMR, 2018)

Partners in Crime: Utilizing Arousal-Valence Relationship for Continuous Prediction of Valence in Movies. - Tanmayee Joshi; Sarath Sivaprasad; Niranjan Pedanekar (AffCon@AAAI, 2019)

Predicting Sentiments in Image Advertisements using Semantic Relations among Sentiment Labels. - Stephen Pilli; Manasi Patwardhan 001; Niranjan Pedanekar; Shirish Karande 001 (CVPR Workshops, 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 001; Manasi Malik; Iaphi Tariang (AI4TV@MM, 2020)

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 001 (DeeLIO@NAACL-HLT, 2021)

Color Me Good: Branding in the Coloring Style of Movie Posters. - Rishabh Agrawal; Sarath Sivaprasad; Niranjan Pedanekar (CVPR Workshops, 2021)

Plots to Previews: Towards Automatic Movie Preview Retrieval using Publicly Available Meta-data. - Bhagyashree Gaikwad; Ankita Sontakke; Manasi Patwardhan 001; Niranjan Pedanekar; Shirish Karande 001 (ICCVW, 2021)

Can a Pretrained Language Model Make Sense with Pretrained Neural Extractors? An Application to Multimodal Classification (short paper). - Bhagyashree Gaikwad; Bhargav Kurma; Manasi Patwardhan 001; Shirish Karande 001; Niranjan Pedanekar (DE-FACTIFY@AAAI, 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 (NAACL-HLT, 2022)

I Know Therefore I Score: Label-Free Crafting of Scoring Functions using Constraints Based on Domain Expertise. - Ragja Palakkadavath; Sarath Sivaprasad; Shirish Karande 001; Niranjan Pedanekar (CoRR, 2022)

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 (APSIPA ASC, 2023)

A Few Good Sentences: Content Selection for Abstractive Text Summarization. - Vivek Srivastava; Savita Bhat; Niranjan Pedanekar (ECML/PKDD (4), 2023)

Generative Models For Indic Languages: Evaluating Content Generation Capabilities. - Savita Bhat; Vasudeva Varma; Niranjan Pedanekar (RANLP, 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)

Estimation of individual causal effects in network setup for multiple treatments. - Abhinav Thorat; Ravi Kolla; Niranjan Pedanekar; Naoyuki Onoe (CoRR, 2023)

Optimizing Movie Selections: A Multi-Task, Multi-Modal Framework with Strategies for Missing Modality Challenges. - Subham Raj; Pawan Agrawal; Sriparna Saha 001; Brijraj Singh; Niranjan Pedanekar (SAC, 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 001; Jyoti Prakash Singh; Brijraj Singh; Niranjan Pedanekar (WWW (Companion Volume), 2024)

Transformative Movie Discovery: Large Language Models for Recommendation and Genre Prediction. - Subham Raj; Anurag Sharma; Sriparna Saha 001; Brijraj Singh; Niranjan Pedanekar (IEEE Access, 2024)

I See, Therefore I Do: Estimating Causal Effects for Image Treatments. - Abhinav Thorat; Ravi Kolla; Niranjan Pedanekar (CoRR, 2024)

Ready for You When You Are Back: Content-Driven Session-Based Recommendation for Continuity of Experience. - Brijraj Singh; Sonal Dabral; Niranjan Pedanekar (AAAI, 2025)

KANITE: Kolmogorov-Arnold Networks for ITE estimation. - Eshan Mehendale; Abhinav Thorat; Ravi Kolla; Niranjan Pedanekar (CoRR, 2025)

Demystifying ChatGPT: How It Masters Genre Recognition. - Subham Raj; Sriparna Saha 001; Brijraj Singh; Niranjan Pedanekar (CoRR, 2025)