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
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
Neel TrivediInternational Institute of Information Technology, HyderabadVerified email at research.iiit.ac.in
Shubh MaheshwariGraduate Researcher at UCSDVerified email at ucsd.edu
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
Shiv SuryaAmazonVerified email at amazon.com
K Madhava KrishnaProfessor, IIIT HyderabadVerified email at iiit.ac.in
Jogendra Nath KunduResearch Scientist, MetaVerified email at iisc.ac.in
Trisha MittalSr. Computer Vision Research Engineer at Dolby LaboratoriesVerified email at dolby.com
Aditya AggarwalMicrosoft Research IndiaVerified 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	291	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	260	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	155	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	96	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	49	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	41	2021
Cognitive map architecture V Ng-Thow-Hing, KR Thórisson, RK Sarvadevabhatla, JA Wormer, T List IEEE robotics & automation magazine 16 (1), 55-66, 2009	40	2009
Freehand sketch recognition using deep features RK Sarvadevabhatla, RV Babu arXiv preprint arXiv:1502.00254, 2015	39	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	36	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	34	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	34	2011
Panoramic attention for humanoid robots RK Sarvadevabhatla, V Ng-Thow-Hing US Patent 8,406,925, 2013	30	2013
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
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	20	2019
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	16	2008
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	15	2021
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	12	2021
Game of sketches: Deep recurrent models of pictionary-style word guessing RK Sarvadevabhatla, S Surya, T Mittal, RV Babu Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018	12	2018
Operator-in-the-loop deep sequential multi-camera feature fusion for person re-identification KL Navaneet, RK Sarvadevabhatla, S Shekhar, RV Babu, A Chakraborty IEEE Transactions on Information Forensics and Security 15, 2375-2385, 2019	11	2019

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