Setlur, A.
* 2020: ReStGAN: A step towards visually guided shopper experience via text-to-image synthesis
Setlur, P.
* 2011: Multipath Model and Exploitation in Through-the-Wall and Urban Radar Sensing
* 2013: Information Theoretic Take on Time Reversal for Nonstationary Channels, An
* 2013: Multipath Exploitation in Through-Wall Radar Imaging Via Point Spread Functions
Setlur, S.
* 1994: Generating Manifold Samples from a Handwritten Word
* 2001: Truthing, testing and evaluation issues in complex systems
* 2002: Large scale address recognition systems: Truthing, testing, tools, and other evaluation issues
* 2003: Text-image separation in Devanagari documents
* 2004: DL Architecture for Indic Scripts
* 2004: Tools for enabling digital access to multi-lingual Indic documents
* 2005: Challenges in OCR of Devanagari documents
* 2005: lexicon reduction strategy in the context of handwritten medical forms, A
* 2005: Text extraction from gray scale historical document images using adaptive local connectivity map
* 2006: Design and Comparison of Segmentation Driven and Recognition Driven Devanagari OCR
* 2009: Devanagari OCR using a recognition driven segmentation framework and stochastic language models
* 2009: Markov Random Field Based Text Identification from Annotated Machine Printed Documents
* 2009: Steerable Directional Local Profile Technique for Extraction of Handwritten Arabic Text Lines, A
* 2010: Framework for Hand Gesture Recognition and Spotting Using Sub-gesture Modeling, A
* 2010: Markov random field based binarization for hand-held devices captured document images
* 2010: Removing Rule-Lines from Binary Handwritten Arabic Document Images Using Directional Local Profile
* 2010: Text Separation from Mixed Documents Using a Tree-Structured Classifier
* 2011: Image Enhancement for Degraded Binary Document Images
* 2012: Keyword Spotting Framework Using Dynamic Background Model
* 2012: Using a boosted tree classifier for text segmentation in hand-annotated documents
* 2013: Handwritten Text Separation from Annotated Machine Printed Documents Using Markov Random Fields
* 2013: IBM_UB_1: A Dual Mode Unconstrained English Handwriting Dataset
* 2013: Model Based Framework for Table Processing in Degraded Document Images, A
* 2013: Online Handwritten Cursive Word Recognition Using Segmentation-Free MRF in Combination with P2DBMN-MQDF
* 2013: Segmentation Based Online Word Recognition: A Conditional Random Field Driven Beam Search Strategy
* 2017: Person Re-identification for Improved Multi-person Multi-camera Tracking by Continuous Entity Association
* 2018: Re-identification for Online Person Tracking by Modeling Space-Time Continuum
* 2019: Generalized framework for summarization of fixed-camera lecture videos by detecting and binarizing handwritten content
* 2019: Learning deep features for online person tracking using non-overlapping cameras: A survey
* 2020: Domain adaptive representation learning for facial action unit recognition
* 2020: ICPR 2020 - Competition on Harvesting Raw Tables from Infographics
* 2020: Learning Guided Attention Masks for Facial Action Unit Recognition
* 2020: Moving in the Right Direction: A Regularization for Deep Metric Learning
* 2020: Skeleton-based Methods for Speaker Action Classification on Lecture Videos
* 2021: Automated Whiteboard Lecture Video Summarization by Content Region Detection and Representation
* 2021: Chart Mining: A Survey of Methods for Automated Chart Analysis
* 2021: Equation Attention Relationship Network (EARN): A Geometric Deep Metric Framework for Learning Similar Math Expression Embedding
* 2021: Multistage Fusion of Face Matchers
* 2021: TADPool: Target Adaptive Pooling for Set Based Face Recognition
* 2022: ICPR 2022: Challenge on Harvesting Raw Tables from Infographics (CHART-Infographics)
* 2023: Hear The Flow: Optical Flow-Based Self-Supervised Visual Sound Source Localization
* 2023: NAPReg: Nouns As Proxies Regularization for Semantically Aware Cross-Modal Embeddings
Includes: Setlur, S. Setlur, S.[Srirangaraj]
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