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Faculty/ Ravi Kiran Sarvadevabhatla
Ravi Kiran Sarvadevabhatla
Associate Professor
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ravi.kiran[at]iiit.ac.in
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About

Dr. Ravi Kiran Sarvadevabhatla is an Associate Professor affiliated with Centre for Visual Information Technology (CVIT) at IIIT Hyderabad since 2018. He leads Vision projects at BharatGen, a Government-funded Multimodal and MultiLingual Large Language Model initiative. He is also the Lead for Mobility-related Applied Projects and Academic Programs at IHub-Data. Dr. Ravi Kiran obtained his Ph.D. from Indian Institute of Science (IISc) in 2018. His Ph.D. thesis is the recipient of IUPRAI Best Thesis Award and Sir Vital R Chandavarkar Memorial Gold Medal. Before joining IISc in 2014, he worked in US-based R&D companies during the period 2008-2013. He obtained his MS in Computer Science from University of Washington, Seattle, USA in 2008. Dr. Ravi Kiran has broad-ranging research interests and likes to work on inter-disciplinary problems involving multi-modal multimedia data (images, videos, text, audio) and disciplines (Graphics, Robotics, Human-Computer Interaction). For additional details, visit https://ravika.github.io/

Areas of Expertise

Image Processing, Computer Vision, Deep Learning, Document AI, Multimodal Learning, Generative AI, Digital Heritage, Large Language Models, Foundation Models

Selected Publications

MoRAG - Multi-Fusion Retrieval Augmented Generation for Human Motion

Kalakonda Sai Shashank,Maheshwari Shubh Jagmohan,Ravi Kiran Sarvadevabhatla

Winter Conference on Applications of Computer Vision, WACV, 2025
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System and method for detecting and tracking a two-wheeler vehicle traffic violation using a deep learning model

Ravi Kiran Sarvadevabhatla

United States Patent, Us patent, 2024
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CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures

Kushagra Srivastava,Damodar Datta,Rizvi Tahereen,Pradeep Kumar Ramancharla,Ravi Kiran Sarvadevabhatla,Harikumar Kandath

International conference on Pattern Recognition, ICPR, 2024
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OLAF: A Plug-and-Play Framework for Enhanced Multi-object Multi-part Scene Parsing

Pranav Gupta,Rishubh Singh,Pradeep Shenoy,Ravi Kiran Sarvadevabhatla

European Conference on Computer Vision, ECCV, 2024
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Enhancing Road Safety: Predictive Modeling of Accident-Prone Zones with ADAS-Equipped Vehicle Fleet Data

Ravi Shankar Mishra,Dev Singh Thakur,Anbumani Subramanian,Mukti Advani,S. Velmurugan,Juby Jose,Jawahar C V,Ravi Kiran Sarvadevabhatla

Intelligent Vehicles symposium, IV, 2024
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IDD-X: A Multi-View Dataset for Ego-relative Important Object Localization and Explanation in Dense and Unstructured Traffic

Chirag Parikh,Rohit Saluja,Jawahar C V,Ravi Kiran Sarvadevabhatla

International Conference on Robotics and Automation, ICRA, 2024
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MAdVerse: A Hierarchical Dataset of Multi-Lingual Ads from Diverse Sources and Categories

Keralapura Nagaraju Amruth Sagar,Rishabh Srivastava,Rakshitha R T,Venkata Kesav Venna,Ravi Kiran Sarvadevabhatla

IEEE Workshop on Applications of Computer Vision, IEEE WACV, 2024
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SeamFormer : High Precision Text Line Segmentation for Handwritten Documents

Niharika,Rahul Krishna,Ravi Kiran Sarvadevabhatla

International Conference on Document Analysis and Recognition, ICDAR, 2023
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UAV-Based Visual Remote Sensing for Automated Building Inspection

Kushagra Srivastava,Dhruv Patel,Aditya Kumar Jha,Mohhit Kumar Jha,Santosh Ravi Kiran,Pradeep Kumar Ramancharla,Harikumar K,K Madhava Krishna

European Conference on Computer Vision Workshops, ECCV-W, 2023
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“Draw Fast, Guess Slow”: Characterizing Interactions in Cooperative Partially Observable Settings with Online Pictionary as a Case Study

Kiruthika K,Anandhini Rajendran,Vinoo A R,Santosh Ravi Kiran

IFIP Conference on Human-Computer Interaction, INTERACT, 2023
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