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ORCIDNiranjan Pedanekar
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2020 – today
- 2024
[c27]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: 910-918- [c26]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: 947-950 - 2023
- [c25]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: 1972-1977 - [c24]Vivek Srivastava, Savita Bhat, Niranjan Pedanekar:
A Few Good Sentences: Content Selection for Abstractive Text Summarization. ECML/PKDD (4) 2023: 124-141 - [c23]Savita Bhat, Vasudeva Varma, Niranjan Pedanekar:
Generative Models For Indic Languages: Evaluating Content Generation Capabilities. RANLP 2023: 187-195 - [i3]Neil Kumar Shah, Vishal Tambrahalli, Saiteja Kosgi, Niranjan Pedanekar, Vineet Gandhi:
MParrotTTS: Multilingual Multi-speaker Text to Speech Synthesis in Low Resource Setting. CoRR abs/2305.11926 (2023) - [i2]Abhinav Thorat, Ravi Kolla, Niranjan Pedanekar, Naoyuki Onoe:
Estimation of individual causal effects in network setup for multiple treatments. CoRR abs/2312.11573 (2023) - 2022
- [c22]Bhagyashree Gaikwad, Bhargav Kurma, Manasi Patwardhan, Shirish 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 - [c21]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: 336-347 - [i1]Ragja Palakkadavath, Sarath Sivaprasad, Shirish Karande, Niranjan Pedanekar:
I Know Therefore I Score: Label-Free Crafting of Scoring Functions using Constraints Based on Domain Expertise. CoRR abs/2203.10085 (2022) - 2021
- [c20]Vivek Srivastava, Stephen Pilli, Savita Bhat, Niranjan Pedanekar, Shirish Karande:
What BERTs and GPTs know about your brand? Probing contextual language models for affect associations. DeeLIO@NAACL-HLT 2021: 119-128 - [c19]Rishabh Agrawal, Sarath Sivaprasad, Niranjan Pedanekar:
Color Me Good: Branding in the Coloring Style of Movie Posters. CVPR Workshops 2021: 3899-3903 - [c18]Bhagyashree Gaikwad, Ankita Sontakke, Manasi Patwardhan, Niranjan Pedanekar, Shirish Karande:
Plots to Previews: Towards Automatic Movie Preview Retrieval using Publicly Available Meta-data. ICCVW 2021: 3198-3207 - 2020
- [c17]Stephen Pilli, Manasi Patwardhan, Niranjan Pedanekar, Shirish Karande:
Predicting Sentiments in Image Advertisements using Semantic Relations among Sentiment Labels. CVPR Workshops 2020: 1640-1648 - [c16]Yashaswi Rauthan, Vatsala Singh, Rishabh Agrawal, Satej Kadlay, Niranjan Pedanekar, Shirish Karande, Manasi Malik, Iaphi Tariang:
Avoid Crowding in the Battlefield: Semantic Placement of Social Messages in Entertainment Programs. AI4TV@MM 2020: 31-36
2010 – 2019
- 2019
- [c15]Tanmayee Joshi, Sarath Sivaprasad, Niranjan Pedanekar:
Partners in Crime: Utilizing Arousal-Valence Relationship for Continuous Prediction of Valence in Movies. AffCon@AAAI 2019: 28-38 - 2018
- [c14]Rohit Saxena, Savita Bhat, Niranjan Pedanekar:
EmotionX-Area66: Predicting Emotions in Dialogues using Hierarchical Attention Network with Sequence Labeling. SocialNLP@ACL 2018: 50-55 - [c13]Tanmayee Joshi, Sarath Sivaprasad, Savita Bhat, Niranjan Pedanekar:
Multimodal Approach to Predicting Media Memorability. MediaEval 2018 - [c12]Sarath Sivaprasad, Tanmayee Joshi, Rishabh Agrawal, Niranjan Pedanekar:
Multimodal Continuous Prediction of Emotions in Movies using Long Short-Term Memory Networks. ICMR 2018: 413-419 - 2017
- [c11]Rohit Saxena, Niranjan Pedanekar:
I Know What You Coded Last Summer: Mining Candidate Expertise from GitHub Repositories. CSCW Companion 2017: 299-302 - [c10]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: 1042-1049 - 2016
- [c9]Varun Kumar, Niranjan Pedanekar:
Mining Shapes of Expertise in Online Social Q&A Communities. CSCW Companion 2016: 317-320 - [c8]Abhay Doke, Niranjan Pedanekar:
Lights, Camera, but No Action: Exploring Affective Audio-Visual Features of Educational Videos (Abstract Only). SIGCSE 2016: 686 - 2015
- [c7]Gaurav Kumar Singh, Varun Kumar, Savita Bhat, Niranjan Pedanekar:
Automatically augmenting learning material with practical questions to increase its relevance. FIE 2015: 1-7 - [c6]Varun Kumar, Savita Bhat, Niranjan Pedanekar:
Stickipedia: A Search Engine and Repository for Explanatory Analogies. ICALT 2015: 280-284 - 2014
- [c5]Varun Kumar, Savita Bhat, Niranjan Pedanekar:
Automatically Retrieving Explanatory Analogies from Webpages. ECIR 2014: 481-486 - [c4]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: 1-4 - [c3]Gaurav Kumar Singh, Abhay Doke, Varun Kumar, Savita Bhat, Niranjan Pedanekar:
Assessing the Need of Augmenting Video Lectures with Supporting Information. HCI (14) 2014: 238-249 - 2013
- [c2]Naman Gandhi, Vinit Gaikwad, Pratik Kasat, Nikita Garg, Abhay Doke, Varun Kumar, Shirish S. Karande, Vijayanand Banahatti, Niranjan Pedanekar:
PUSTACK: towards an augmented, scalable and personalized interface for paper textbooks. APCHI 2013: 174-177 - [c1]Vikram Nair, Vijayanand Banahatti, Niranjan Pedanekar:
TAGZILLA: Tag-Based File Storage and Retrieval. HCI (13) 2013: 505-514
Coauthor Index
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last updated on 2024-06-03 01:02 CEST by the dblp team
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