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Ravi Kiran Sarvadevabhatla
Ravi Kiran Sarvadevabhatla
Assistant Professor, Centre for Visual Information Technology, IIIT-Hyderabad, India
Verified email at iiit.ac.in - Homepage
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
3282017
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
2762016
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
1572003
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
1042009
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
552016
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
502021
Freehand sketch recognition using deep features
RK Sarvadevabhatla, RV Babu
arXiv preprint arXiv:1502.00254, 2015
412015
Cognitive map architecture
V Ng-Thow-Hing, KR Thórisson, RK Sarvadevabhatla, JA Wormer, T List
IEEE robotics & automation magazine 16 (1), 55-66, 2009
402009
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
392017
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
382017
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
352011
Panoramic attention for humanoid robots
RK Sarvadevabhatla, V Ng-Thow-Hing
US Patent 8,406,925, 2013
312013
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
222012
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
212022
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
202019
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
182021
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
182020
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
172008
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
132021
Mugl: Large scale multi person conditional action generation with locomotion
S Maheshwari, D Gupta, RK Sarvadevabhatla
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
122022
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