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Niranjan Pedanekar

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2020 – today

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2024
[c27]
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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]
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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]
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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]
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Vivek Srivastava, Savita Bhat, Niranjan Pedanekar:
A Few Good Sentences: Content Selection for Abstractive Text Summarization. ECML/PKDD (4) 2023: 124-141
[c23]
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Savita Bhat, Vasudeva Varma, Niranjan Pedanekar:
Generative Models For Indic Languages: Evaluating Content Generation Capabilities. RANLP 2023: 187-195
[i3]
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  - journals/corr/abs-2305-11926
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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]
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  - journals/corr/abs-2312-11573
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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]
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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]
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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]
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  - journals/corr/abs-2203-10085
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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]
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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]
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Rishabh Agrawal, Sarath Sivaprasad, Niranjan Pedanekar:
Color Me Good: Branding in the Coloring Style of Movie Posters. CVPR Workshops 2021: 3899-3903
[c18]
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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]
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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]
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  - conf/mm/RauthanSAKPKMT20
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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

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2019
[c15]
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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]
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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]
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  - conf/mediaeval/JoshiSBP18
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Tanmayee Joshi, Sarath Sivaprasad, Savita Bhat, Niranjan Pedanekar:
Multimodal Approach to Predicting Media Memorability. MediaEval 2018
[c12]
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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]
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  - conf/cscw/SaxenaP17
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Rohit Saxena, Niranjan Pedanekar:
I Know What You Coded Last Summer: Mining Candidate Expertise from GitHub Repositories. CSCW Companion 2017: 299-302
[c10]
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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]
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Varun Kumar, Niranjan Pedanekar:
Mining Shapes of Expertise in Online Social Q&A Communities. CSCW Companion 2016: 317-320
[c8]
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  - conf/sigcse/DokeP16
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Abhay Doke, Niranjan Pedanekar:
Lights, Camera, but No Action: Exploring Affective Audio-Visual Features of Educational Videos (Abstract Only). SIGCSE 2016: 686
2015
[c7]
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  - conf/fie/SinghKBP15
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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]
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  - conf/icalt/KumarBP15
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Varun Kumar, Savita Bhat, Niranjan Pedanekar:
Stickipedia: A Search Engine and Repository for Explanatory Analogies. ICALT 2015: 280-284
2014
[c5]
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  - conf/ecir/KumarBP14
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Varun Kumar, Savita Bhat, Niranjan Pedanekar:
Automatically Retrieving Explanatory Analogies from Webpages. ECIR 2014: 481-486
[c4]
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  - conf/fie/DokeSKBP14
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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]
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  - conf/hci/SinghDKBP14
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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]
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  - conf/apchi/GandhiGKGDKKBP13
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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]
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  - conf/hci/NairBP13
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Vikram Nair, Vijayanand Banahatti, Niranjan Pedanekar:
TAGZILLA: Tag-Based File Storage and Retrieval. HCI (13) 2013: 505-514

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