Ravi Kiran Sarvadevabhatla

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R. Venkatesh BabuCDS, Indian Institute of Science, Bangalore, IndiaVerified email at iisc.ac.in
C. V. JawaharCVIT, IIIT Hyderabad, IndiaVerified email at iiit.ac.in
Victor Ng-Thow-HingHonda Research Institute USAVerified email at honda-ri.com
Sandra Y. OkitaAssociate Professor, Teachers College, Columbia UniversityVerified email at tc.columbia.edu
Neel TrivediInternational Institute of Information Technology, HyderabadVerified email at research.iiit.ac.in
Shubh MaheshwariGraduate Researcher at UCSDVerified email at ucsd.edu
Konda Reddy MopuriIndian Institute of Technology HyderabadVerified email at ai.iith.ac.in
Suraj SrinivasResearch Scientist at BoschVerified email at us.bosch.com
Nikita PrabhuGraduate Student, Computational and Data Sciences, Indian Institute of ScienceVerified email at ssl.serc.iisc.in
Dr. Rohit SalujaIIT MandiVerified email at iitmandi.ac.in
Abhishek TrivediInternational Institute of Information Technology, HyderabadVerified email at research.iiit.ac.in
Swaminathan GurumurthyCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Anirudh ThatipelliPhD Computer Science, University of Central FloridaVerified email at ucf.edu
Pranay GuptaPhD student, Robotics Institute, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
K Madhava KrishnaProfessor, IIIT HyderabadVerified email at iiit.ac.in
Sai Shashank KalakondaStudent, IIIT HyderabadVerified email at research.iiit.ac.in
Shiv SuryaAmazonVerified email at amazon.com
Anbumani SubramanianIntelVerified email at ieee.org
Aditya AggarwalUC San DiegoVerified email at microsoft.com
Sourav Das, PhDSenior Scientist, Cheminformatics, St. Jude Children's Research HospitalVerified email at stjude.org

Ravi Kiran Sarvadevabhatla

Assistant Professor, Centre for Visual Information Technology, IIIT-Hyderabad, India

Verified email at iiit.ac.in - Homepage

Computer Vision Multimedia and Multimodal Analytics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Deligan: Generative adversarial networks for diverse and limited data S Gurumurthy, R Kiran Sarvadevabhatla, R Venkatesh Babu Proceedings of the IEEE conference on computer vision and pattern …, 2017	357	2017
A taxonomy of deep convolutional neural nets for computer vision S Srinivas, RK Sarvadevabhatla, KR Mopuri, N Prabhu, SSS Kruthiventi, ... Frontiers in Robotics and AI 2, 36, 2016	296	2016
A bilingual OCR for Hindi-Telugu documents and its applications CV Jawahar, MP Kumar, SSR Kiran Seventh International Conference on Document Analysis and Recognition, 2003 …, 2003	159	2003
Learning together: ASIMO developing an interactive learning partnership with children SY Okita, V Ng-Thow-Hing, R Sarvadevabhatla RO-MAN 2009-The 18th IEEE International Symposium on Robot and Human …, 2009	109	2009
Quo vadis, skeleton action recognition? P Gupta, A Thatipelli, A Aggarwal, S Maheshwari, N Trivedi, S Das, ... International Journal of Computer Vision 129 (7), 2097-2112, 2021	65	2021
Enabling my robot to play pictionary: Recurrent neural networks for sketch recognition RK Sarvadevabhatla, J Kundu Proceedings of the 24th ACM international conference on Multimedia, 247-251, 2016	57	2016
Freehand sketch recognition using deep features RK Sarvadevabhatla, RV Babu arXiv preprint arXiv:1502.00254, 2015	47	2015
An Introduction to Deep Convolutional Neural Nets for Computer Vision S Srinivas, RK Sarvadevabhatla, KR Mopuri, N Prabhu, S Kruthiventi, ... Deep Learning for Medical Image Analysis, 25-52, 2017	45	2017
SketchParse: Towards rich descriptions for poorly drawn sketches using multi-task hierarchical deep networks RK Sarvadevabhatla, I Dwivedi, A Biswas, S Manocha Proceedings of the 25th ACM international conference on Multimedia, 10-18, 2017	39	2017
Cognitive map architecture V Ng-Thow-Hing, KR Thórisson, RK Sarvadevabhatla, JA Wormer, T List IEEE robotics & automation magazine 16 (1), 55-66, 2009	39	2009
Multimodal approach to affective human-robot interaction design with children SY Okita, V Ng-Thow-Hing, RK Sarvadevabhatla ACM Transactions on Interactive Intelligent Systems (TiiS) 1 (1), 1-29, 2011	38	2011
Psumnet: Unified modality part streams are all you need for efficient pose-based action recognition N Trivedi, RK Sarvadevabhatla European Conference on Computer Vision, 211-227, 2022	36	2022
Action-gpt: Leveraging large-scale language models for improved and generalized action generation SS Kalakonda, S Maheshwari, RK Sarvadevabhatla 2023 IEEE International Conference on Multimedia and Expo (ICME), 31-36, 2023	35	2023
Indiscapes: Instance segmentation networks for layout parsing of historical indic manuscripts A Prusty, S Aitha, A Trivedi, RK Sarvadevabhatla 2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019	33	2019
Panoramic attention for humanoid robots RK Sarvadevabhatla, V Ng-Thow-Hing US Patent 8,406,925, 2013	32	2013
Hear Me Out: Fusional Approaches for Audio Augmented Temporal Action Localization A Bagchi, J Mahmood, D Fernandes, RK Sarvadevabhatla 17th International Conference on Computer Vision Theory and Applications …, 2021	26	2021
Captain may I? Proxemics study examining factors that influence distance between humanoid robots, children, and adults, during human-robot interaction SY Okita, V Ng-Thow-Hing, RK Sarvadevabhatla Proceedings of the seventh annual ACM/IEEE international conference on Human …, 2012	23	2012
Syntactically guided generative embeddings for zero-shot skeleton action recognition P Gupta, D Sharma, RK Sarvadevabhatla 2021 IEEE International Conference on Image Processing (ICIP), 439-443, 2021	22	2021
An OCR for classical Indic documents containing arbitrarily long words A Dwivedi, R Saluja, RK Sarvadevabhatla Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	21	2020
NTU-X: an enhanced large-scale dataset for improving pose-based recognition of subtle human actions N Trivedi, A Thatipelli, RK Sarvadevabhatla Proceedings of the Twelfth Indian Conference on Computer Vision, Graphics …, 2021	19	2021

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