Balaji Vasan Srinivasan

Principal Scientist

Bangalore

Balaji Vasan Srinivasan is a principal scientist in Adobe Research focused on next generation technologies for enabling several content creation workflows. His current areas of research include multimodal content understanding, autogeneration of design documents and on-brand content generation. In the past, he has worked on problems around virality prediction, text expansion and summarization, translations of content across different modalities and informing content autogeneration with user-behavior data. He has published several papers published in top NLP, Vision, HCI and AI conferences; and has 50+ issued patents in related areas.

Balaji completed his Ph.D. in computer science at the University of Maryland in September 2011. His thesis was on Scalable Learning Methods for Speaker Recognition and Geostatistics. He completed his M.S. in electrical engineering from University of Maryland in 2008 and B.E. in electrical engineering from Anna University (India) in 2006. His work experience includes research internships at National Institutes of Health, Bethesda, MD (May – Aug 2007) and Xerox Research Center, Webster, NY (May – Aug 2011).

Professional Services

  • PC Co-chair: 4th ACM India Joint International Conference on Data Science & Management of Data, 2022;
  • Proceedings Co-Chair: 3rd ACM India Joint International Conference on Data Science & Management of Data, 2021;
  • Tutorial Track Co-Chair: 2nd ACM India Joint International Conference on Data Science & Management of Data, 2020;
  • Industry Track Co-Chair: 4th ACM IKDD Conference on Data Science, 2017;
  • Demo & Exhibits Co-Chair: 9th International Conference on COMmunication Systems & NETworkS (COMSNETS), 2017;
  • Data Challenge Co-Chair: 3rd ACM IKDD Conference on Data Science, 2016;
  • Proceedings Co-Chair: 2nd ACM IKDD Conference on Data Science, 2015
  • Area Chair @ AAAI
  • PC Member at multiple Vision/Language/AI conferences including AAAI, IJCAI, ACL, EMNLP, NAACL, INLG, WACV.

Publications

Design-o-meter: Towards Evaluating and Refining Graphic Designs

Goyal, S., Mahajan, A., Mishra, S., Udhayanan, P., Shukla, T., J, J., Srinivasan, B. (Mar. 1, 2025)

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025

Enhancing Post-Hoc Attributions in Long Document Comprehension via Coarse Grained Answer Decomposition

Ramu, P., Goswami, K., Saxena, A., Srinivasan, B. (Nov. 11, 2024)

2024 Conference on Empirical Methods in Natural Language Processing

Peering into the Mind of Language Models: An Approach for Attribution in Contextual Question Answering

Phukan, A., Somasundaram, S., Saxena, A., Goswami, K., Srinivasan, B. (Aug. 12, 2024)

Findings of the Association for Computational Linguistics (ACL 2024)

MeLFusion: Synthesizing Music from Image and Language Cues using Diffusion Models

Chowdhury, S., Nag, S., J, J., Srinivasan, B., Manocha, D. (Jun. 17, 2024)

CVPR Highlight

CVPR 2024

Post-Hoc Answer Attribution for Grounded and Trustworthy Long Document Comprehension: Task, Insights, and Challenges

Sancheti, A., Goswami, K., Srinivasan, B. (Jun. 1, 2024)

13th Joint Conference on Lexical and Computational Semantics (*SEM 2024)

CoPL: Contextual Prompt Learning for Vision-Language Understanding

Goswami, K., Karanam, S., Udhayanan, P., J, J., Srinivasan, B. (Feb. 22, 2024)

AAAI 2024

Iterative Multi-Granular Image Editing Using Diffusion Models

J, J., Udhayanan, P., Shukla, T., Agarwal, A., Karanam, S., Goswami, K., Srinivasan, B. (Jan. 4, 2024)

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

What to Read in a Contract? Party-Specific Summarization of Legal Obligations, Entitlements, and Prohibitions

Sancheti, A., Garimella, A., Srinivasan, B., Rudinger, R. (Dec. 1, 2023)

2023 Conference on Empirical Methods in Natural Language Processing

A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis

Agarwal, A., Karanam, S., J, J., Saxena, A., Goswami, K., Srinivasan, B. (Oct. 2, 2023)

International Conference on Computer Vision (ICCV)

Sketch Recognition via Part-based Hierarchical Analogical Learning

Chen, K., Forbus, K., Srinivasan, B., Chhaya, N., Usher, M. (Aug. 21, 2023)

32nd International Joint Conference on Artificial Intelligence (IJCAI)

SketchBuddy: Context-Aware Sketch Enrichment and Enhancement

Agarwal, A., Srivastava, A., Nair, I., Mishra, S., Dorna, V., Nangi, S., Srinivasan, B. (Jun. 7, 2023)

ACM Conference on Multimedia Systems (MMSys)

A Neural CRF-based Hierarchical Approach for Linear Text Segmentation

Nair, I., Garimella, A., Srinivasan, B., Modani, N., Chhaya, N., Karanam, S., Shekhar, S. (May. 2, 2023)

Findings of the 17th Conference of the European Chapter of the Association for Computational Linguistics

Contrastive Learning of Semantic Concepts for Open-set Cross-domain Retrieval

Agarwal, A., Karanam, S., Srinivasan, B., Banerjee, B. (Jan. 3, 2023)

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Recipe2Video: Synthesizing Personalized Videos from Recipe Texts

Udhayanan, P., BV, S., Laturia, P., Chauhan, D., Khandelwal, D., Petrangeli, S., Srinivasan, B. (Jan. 3, 2023)

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Agent-specific Deontic Modality Detection in Legal Language

Sancheti, A., Garimella, A., Srinivasan, B., Rudinger, R. (Dec. 7, 2022)

Empirical Methods in Natural Language Processing (EMNLP)

NeurTEx: A Neural Framework for Template Extraction from Flat Images

Aggarwal, V., Vaddamanu, P., Guda, B., Srinivasan, B., Chhaya, N., Vinay, V. (Apr. 30, 2022)

ACM CHI Conference on Human Factors in Computing Systems (Late Breaking Work)

Harmonized Banner Creation from Multimodal Design Assets

Vaddamanu, P., Aggarwal, V., Guda, B., Srinivasan, B., Chhaya, N. (Apr. 30, 2022)

ACM CHI Conference on Human Factors in Computing Systems (Late Breaking Work)

Entailment Relation Aware Paraphrase Generation

Sancheti, A., Rudinger, R., Srinivasan, B. (Feb. 22, 2022)

36th AAAI Conference on Artificial Intelligence

IGA: An Intent-Guided Authoring Assistant

Sun, S., Zhao, W., Manjunatha, V., Jain, R., Morariu, V., Dernoncourt, F., Srinivasan, B., Iyyer, M. (Nov. 9, 2021)

EMNLP 2021

ClauseRec: A Clause Recommendation Framework for AI-aided Contract Authoring

Aggarwal, V., Garimella, A., Srinivasan, B., Natarajan, A., Jain, R. (Nov. 7, 2021)

Empirical Methods in Natural Language Processing (EMNLP)

He is very intelligent, she is very beautiful? On Mitigating Social Biases in Language Modelling and Generation

Garimella, A., Amarnath, A., Kumar, K., Yalla, A., Natarajan, A., Chhaya, N., Srinivasan, B. (Aug. 2, 2021)

Findings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021)

MIMOQA: Multimodal Input Multimodal Output Question Answering

Singh, H., Nasery, A., Mehta, D., Agarwal, A., Lamba, J., Srinivasan, B. (Jun. 6, 2021)

2021 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL - HLT)

Multi-Style Transfer with Discriminative Feedback on Disjoint Corpus

Goyal, N., Srinivasan, B., Natarajan, A., Sancheti, A. (Jun. 6, 2021)

2021 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL - HLT)

DRAG: Director-Generator Language Modelling Framework for Non-Parallel Author Stylized Rewriting

Singh, H., Verma, G., Garimella, A., Srinivasan, B. (Apr. 19, 2021)

EACL 2021

Non-Linear Video Consumption Using Multimodal Fragments

Verma, G., Nalamada, T., Harpavat, K., Goel, P., Mishra, A., Srinivasan, B. (Apr. 13, 2021)

ACM Conference on Intelligent User Interfaces (ACM IUI)

Incorporating Stylistic Lexical Preferences in Generative Language Models

Singh, H., Verma, G., Srinivasan, B. (Nov. 18, 2020)

EMNLP Findings 2020

Towards Transparent and Explainable Attention Models

Kumar, A., Nema, P., Narasimhan, S., Khapra, M., Srinivasan, B., Ravindran, B. (Jul. 5, 2020)

Annual Conference of the Association for Computational Linguistics (ACL)

Modeling Causal Impact of Textual Style on a Targeted Goal

Verma, G., Srinivasan, B., Saini, S., Chhaya, N. (Apr. 20, 2020)

The Web Conference (WebConf) - Poster

Reinforced Rewards Framework for Text Style Transfer

Sancheti, A., Krishna, K., Natarajan, A., Srinivasan, B. (Apr. 14, 2020)

European Conference on Information Retrieval (ECIR)

Generating Need-Adapted Multimodal Fragments

Verma, G., BV, S., Sharma, S., Srinivasan, B. (Mar. 17, 2020)

ACM Conference on Intelligent User Interfaces (ACM IUI)

Adapting Language Models for Non-Parallel Author-Stylized Rewriting

Syed, B., Verma, G., Srinivasan, B., Natarajan, A., Varma, V. (Feb. 7, 2020)

34th AAAI Conference on Artificial Intelligence

Let’s Ask Again: Refine Network for Automatic Question Generation

Nema, P., Kumar, A., Khapra, M., Srinivasan, B., Ravindran, B. (Nov. 7, 2019)

Conference on Empirical Methods in Natural Language Processing (EMNLP)

Generating Formality-tuned Summaries Using Token-based Rewards

Chawla, K., Srinivasan, B., Chhaya, N. (Nov. 4, 2019)

SIGNLL Conference on Computational Natural Language Learning (CONLL)

Helium @ CL-SciSumm-19: Transfer learning for effective scientific research comprehension

Syed, B., Indurthi, V., Srinivasan, B., Varma, V. (Jul. 25, 2019)

Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019) at the International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

Generating summaries tailored to target characteristics

Chawla, K., Singh, H., Pramanik, A., Kumar, M., Srinivasan, B. (Apr. 9, 2019)

20th International Conference on Intelligent Text Processing and Computational Linguistics

Content-based Layout Optimization

Srinivasan, B., Vinay, V., Chhaya, N. (Mar. 20, 2019)

ACM IUI Workshop on Exploratory Search and Interactive Data Analytics

Metrics based Content Layouting

Srinivasan, B., Vinay, V., Chhaya, N. (Mar. 17, 2019)

24th ACM International Conference on Intelligent User Interfaces (IUI Poster)

Exemplar based Experience Transfer

Maheshwari, P., Bansal, N., Dwivedi, S., Kumar, R., Maneriker, P., Srinivasan, B. (Mar. 16, 2019)

24th ACM International Conference on Intelligent User Interfaces (IUI 2019)

Improving generation quality of pointer networks via guided attention

Chawla, K., Krishna, K., Srinivasan, B. (Jan. 28, 2019)

AAAI Workshop on Network Interpretability for Deep Learning

When science journalism meets artificial intelligence : An interactive demonstration

Vadapalli, R., Syed, B., Prabhu, N., Srinivasan, B., Varma, V. (Oct. 31, 2018)

Conference on Empirical Methods in Natural Language Processing (EMNLP) demo track

Sci-Blogger: A step towards automated science journalism

Vadapalli, R., Syed, B., Prabhu, N., Srinivasan, B., Varma, V. (Oct. 22, 2018)

27th ACM International Conference on Information and Knowledge Management (CIKM)

Vocabulary-tailored summary generation

Krishna, K., Murherkar, A., Sharma, S., Srinivasan, B. (Aug. 20, 2018)

27th International Conference on Computational Linguistics (COLING)

Corpus-based Content Construction

Srinivasan, B., Maneriker, P., Krishna, K., Modani, N. (Aug. 20, 2018)

27th International Conference on Computational Linguistics

Generating topic-oriented summaries using neural attention

Krishna, K., Srinivasan, B. (Jun. 6, 2018)

16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)

Harvesting Knowledge from Cultural Heritage Artifacts in Museums of India

Sancheti, A., Maheshwari, P., Chaturvedi, R., Monsy, A., Goyal, T., Srinivasan, B. (Jun. 3, 2018)

22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2018)

Preventing Inadvertent Information Disclosures via Automatic Security Policies

Goyal, T., Mehta, S., Srinivasan, B. (May. 26, 2017)

21st Pacific-Asia Conference on Knowledge Discovery and Data Mining

Usage Based Tag Enhancement of Images

Srinivasan, B., Sheikh, N., Kumar, R., Verma, S., Ganguly, N. (May. 26, 2017)

21st Pacific-Asia Conference on Knowledge Discovery and Data Mining

Corpus-based Automatic Text Expansion

Srinivasan, B., Roy, R., Jhamtani, H., Modani, N., Chhaya, N. (Apr. 17, 2017)

18th International Conference on Intelligent Text Processing and Computational Linguistics

Modelling End of Online Session from Streaming Data

Sinha, M., Jhamtani, H., Mehta, S., Srinivasan, B. (Mar. 9, 2017)

ACM iKDD Conference on Data Science

Generating Multiple Diverse Summaries

Modani, N., Srinivasan, B., Jhamtani, H. (Nov. 9, 2016)

17th International Conference on Web Information Systems Engineering

Smart filters for social retrieval

Srinivasan, B., Goyal, T., Nainani, N., Sreenivasan, K. (Mar. 13, 2016)

ACM IKDD Conference on Data Science

Environment Specific Content Rendering & Transformation

Srinivasan, B., Goyal, T., Singh, S., Syal, V., Sharma, V. (Mar. 8, 2016)

ACM Intelligent User Interfaces (Poster)

Banzhaf Index for Influence Maximization

Srinivasan, B., Kumar, A. (Dec. 9, 2015)

The 7th International Conference on Social Informatics

Community Reaction – From Blogs to Facebook

Srinivasan, B., Natarajan, A., Sinha, R., Sinha, M. (Mar. 18, 2015)

ACM iKDD Conference on Data Science

Stemming the flow of information in a social network

Srinivasan, B., Kumar, A., Gupta, S., Gupta, K. (Nov. 10, 2014)

The 6th International Conference on Social Informatics

Topic-based Targeted Influence Maximization

Srinivasan, B., Natarajan, A., Dalal, A., Yenugula, M., Srikanthan, P., Layek, A. (Jan. 10, 2014)

Workshop on Social Networks – Science and Engineering, COMSNETS

Preconditioned Krylov solvers for kernel regression

Srinivasan, B., Hu, Q., Gumerov, N., Murtugudde, R., Duraiswami, R. (Dec. 9, 2013)

Workshop on Large Scale Matrix Analysis and Inference at Neural Information Processing Systems (NIPS)

Will your Facebook post be engaging?

Srinivasan, B., Natarajan, A., Sinha, R., Gupta, V., Revankar, S., Ravindran, B. (Nov. 1, 2013)

Workshop on User Engagement Optimization at ACM International Conference on Information and Knowledge Management

A symmetric kernel partial least squares framework for speaker recognition

Srinivasan, B., Luo, Y., Garcia-Romero, D., Zotkin, D., Duraiswami, R. (Mar. 20, 2013)

IEEE Transactions on Audio, Speech and Language Processing

UMD-JHU 2011 Speaker Recognition System

Garcia-Romero, D., Zhou, X., Zotkin, D., Srinivasan, B., Luo, Y., Ganapathy, S., Thomas, S., Nemala, S., Sivaram, G., Mirbagheri, M., Mallidi, S., Janu, T., Rajan, P., Mesgarani, N., Elhilali, M., Hermansy, H., Shamma, S., Duraiswami, R. (Mar. 25, 2012)

37th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Domain-specific adaptation of a partial least squares regression model for loan defaults prediction

Srinivasan, B., Gnanasambandam, N., Zhao, S., Minhas, R. (Dec. 11, 2011)

5th International Workshop on Domain Driven Data Mining (DDDM) at the International Conference on Data Mining (ICDM)

Kernelized Renyi distance for subset selection and similarity scoring

Srinivasan, B., Duraiswami, R. (Oct. 12, 2011)

CS-TR-4994, University of Maryland, College Park, MD

Scalable learning for geostatistics and speaker recognition

Srinivasan, B. (Sep. 15, 2011)

PhD Thesis, University of Maryland, College Park

Kernel partial least squares framework for speaker recognition

Srinivasan, B., Garcia-Romero, D., Zotkin, D., Duraiswami, R. (Aug. 27, 2011)

12th Annual Conference of the International Speech Communication Association (INTERSPEECH)

A partial least squares framework for speaker recognition

Srinivasan, B., Zotkin, D., Duraiswami, R. (May. 22, 2011)

36th IEEE International Conference on Acoustics, Speech and Signal Processing

Partial least squares based speaker recognition system

Srinivasan, B., Zotkin, D., Duraiswami, R. (Apr. 13, 2011)

Snowbird Learning Workshop

Random sampling for estimating the performance of fast summations

Srinivasan, B., Duraiswami, R. (Oct. 18, 2010)

In CS-TR-4969, University of Maryland, College Park, MD

Partial least squares on graphical processor for efficient pattern recognition

Srinivasan, B., Schwartz, W., Duraiswami, R., Davis, L. (Oct. 18, 2010)

In CS-TR-4968, University of Maryland, College Park, MD

GPUML: Graphical processors for speeding up kernel machines

Srinivasan, B., Qi, H., Duraiswami, R. (May. 1, 2010)

Workshop on High Performance Analytics - Algorithms, Implementations, and Applications in Siam Conference on Data Mining

Fast matrix-vector product based FGMRES for kernel machines

Srinivasan, B., Duraiswami, R., Gumerov, N. (Apr. 4, 2010)

11th Copper Mount Conference on Iterative Methods

Kernelized Rényi distance for speaker recognition

Srinivasan, B., Duraiswami, R., Zotkin, D. (Mar. 14, 2010)

35th International Conference on Acoustics, Speech and Signal Processing

Efficient kriging for real-time spatio-temporal interpolation

Srinivasan, B., Duraiswami, R., Murtugudde, R. (Jan. 18, 2010)

20th Conference on Probability and Statistics in the Atmospheric Sciences

Scaling kernel machine learning algorithm via the use of GPUs

Srinivasan, B., Duraiswami, R. (Oct. 1, 2009)

In GPU Technology Conference, NVIDIA Research Summit, San Jose, CA

Efficient subset selection via the kernelized Rényi distance

Srinivasan, B., Duraiswami, R. (Sep. 27, 2009)

12th IEEE International Conference on Computer Vision

Automatic online tuning for fast Gaussian summation

Morariu, V., Srinivasan, B., Raykar, V., Duraiswami, R., Davis, L. (Dec. 8, 2008)

22nd Annual Conference on Neural Information Processing Systems (NIPS)

Gaussian Process Regression for Model Estimation

Srinivasan, B. (Nov. 21, 2008)

Masters Thesis, University of Maryland, College Park, MD

Exploring use of images in clinical articles for decision support in Evidence-Based Medicine

Antani, S., Demner-Fushman, D., Li, J., Srinivasan, B., Thoma, G. (Jan. 27, 2008)

SPIE Electronic Imaging: Document Recognition and Retrieval

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