Ravi Kiran Sarvadevabhatla

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R. Venkatesh BabuCDS, Indian Institute of Science, Bangalore, IndiaVerified email at iisc.ac.in
Victor Ng-Thow-HingHonda Research Institute USAVerified email at honda-ri.com
C. V. JawaharCVIT, IIIT Hyderabad, IndiaVerified email at iiit.ac.in
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 SrinivasPostdoctoral Research Fellow at Harvard UniversityVerified email at seas.harvard.edu
Nikita PrabhuGraduate Student, Computational and Data Sciences, Indian Institute of ScienceVerified email at ssl.serc.iisc.in
Abhishek TrivediInternational Institute of Information Technology, HyderabadVerified email at research.iiit.ac.in
Swaminathan GurumurthyCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Anirudh ThatipelliMS Computer Science, UC RiversideVerified email at ucr.edu
Dr. Rohit SalujaIIT MandiVerified email at iitmandi.ac.in
pranay guptaMaster's student, Robotics Institute, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
K Madhava KrishnaProfessor, IIIT HyderabadVerified email at iiit.ac.in
Shiv SuryaAmazonVerified email at amazon.com
Sai Shashank KalakondaStudent, IIIT HyderabadVerified email at research.iiit.ac.in
Jogendra Nath KunduResearch Scientist, MetaVerified email at iisc.ac.in
Aditya AggarwalUC San DiegoVerified email at microsoft.com
Sourav DasBMCS Ph.D. student at University of PaduaVerified email at phd.unipd.it

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


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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	331	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	278	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	157	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	106	2009
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	56	2016
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	53	2021
Freehand sketch recognition using deep features RK Sarvadevabhatla, RV Babu arXiv preprint arXiv:1502.00254, 2015	43	2015
Cognitive map architecture V Ng-Thow-Hing, KR Thórisson, RK Sarvadevabhatla, JA Wormer, T List IEEE robotics & automation magazine 16 (1), 55-66, 2009	41	2009
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
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	39	2017
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	35	2011
Panoramic attention for humanoid robots RK Sarvadevabhatla, V Ng-Thow-Hing US Patent 8,406,925, 2013	31	2013
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	23	2022
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	22	2019
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	21	2012
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	20	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	17	2020
The memory game: Creating a human-robot interactive scenario for asimo V Ng-Thow-Hing, J Lim, J Wormer, RK Sarvadevabhatla, C Rocha, ... 2008 IEEE/RSJ international conference on intelligent robots and systems …, 2008	17	2008
Action-GPT: Leveraging large-scale language models for improved and generalized zero shot action generation SS Kalakonda, S Maheshwari, RK Sarvadevabhatla arXiv preprint arXiv:2211.15603 3, 2022	16*	2022
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	14	2021

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