VSR Veeravasarapu
Title
Cited by
Cited by
Year
Disentangling factors of variation with cycle-consistent variational auto-encoders
AH Jha, S Anand, M Singh, VSR Veeravasarapu
European Conference on Computer Vision, 829-845, 2018
302018
Adversarially tuned scene generation
VSR Veeravasarapu, C Rothkopf, R Visvanathan
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
172017
Model-driven simulations for deep convolutional neural networks
VSR Veeravasarapu, C Rothkopf, V Ramesh
arXiv preprint arXiv:1605.09582, 2016
142016
Simulations for validation of vision systems
VSR Veeravasarapu, RN Hota, C Rothkopf, R Visvanathan
arXiv preprint arXiv:1512.01030, 2015
142015
Model validation for vision systems via graphics simulation
VSR Veeravasarapu, RN Hota, C Rothkopf, R Visvanathan
arXiv preprint arXiv:1512.01401, 2015
132015
Disentangling factors of variation with cycle-consistent variational auto-encoders
A Harsh Jha, S Anand, M Singh, VSR Veeravasarapu
Proceedings of the European Conference on Computer Vision (ECCV), 805-820, 2018
82018
Fast and fully automated video colorization
VSR Veeravasarapu, J Sivaswamy
2012 International Conference on Signal Processing and Communications (SPCOM …, 2012
62012
Model-driven simulations for computer vision
VSR Veeravasarapu, C Rothkopf, R Visvanathan
2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 1063-1071, 2017
52017
Modeldriven simulations for deep convolutional neural networks. CoRR
V Veeravasarapu, C Rothkopf, R Visvanathan
arXiv preprint arXiv:1605.09582 2, 2016
52016
Simulations for validation of vision systems. CoRR
V Veeravasarapu, R Hota, C Rothkopf, R Visvanathan
arXiv preprint arXiv:1512.01030 2, 2015
52015
Automated localization of vertebra landmarks in MRI images
A Pai, A Narasimhamurthy, VSV Rao, V Vaidya
Medical Imaging 2011: Computer-Aided Diagnosis 7963, 79633K, 2011
32011
Motion deblurring as optimisation
VSR Veeravasarapu, J Sivaswamy
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics …, 2010
32010
ProAlignNet: Unsupervised Learning for Progressively Aligning Noisy Contours
VSR Veeravasarapu, A Goel, D Mittal, M Singh
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
2020
System and Method for Generating Simulated Scenes from Open Map Data for Machine Learning
VS Veeravasarapu, MK Singh, V Ramesh
US Patent App. 16/437,401, 2019
2019
Wavelets to the Rescue: Improving Sample Quality of Latent Variable Deep Generative Models
PK Gyawali, R Shah, L Wang, VSR Veeravasarapu, M Singh
arXiv preprint arXiv:1911.05627, 2019
2019
High-Frequency guided Curriculum Learning for Class-specific Object Boundary Detection
VSR Veeravasarapu, D Mittal, A Goel, M Singh
2019
Cardiac Motion Analysis by Temporal Flow Graphs
VSR Veeravasarapu, J Sivaswamy, V Karani
arXiv preprint arXiv:1604.06979, 2016
2016
Supplementary Material for ProAlignNet: Unsupervised Learning for Progressively Aligning Noisy Contours
VSR Veeravasarapu, A Goel, D Mittal, M Singh, AI Verisk, V Analytics
Engineering Platform and Workflow for Cognitive Vision
C Becker, T Weis, P Harding, R Hota, C von der Malsburg, V Ramesh
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