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VSR Veeravasarapu
VSR Veeravasarapu
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Geverifieerd e-mailadres voor fias.uni-frankfurt.de - Homepage
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Disentangling factors of variation with cycle-consistent variational auto-encoders
AH Jha, S Anand, M Singh, VSR Veeravasarapu
Proceedings of the European Conference on Computer Vision (ECCV), 805-820, 2018
1442018
Adversarially tuned scene generation
VSR Veeravasarapu, C Rothkopf, R Visvanathan
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
302017
Simulations for validation of vision systems
VSR Veeravasarapu, RN Hota, C Rothkopf, R Visvanathan
arXiv preprint arXiv:1512.01030, 2015
252015
Model-driven simulations for deep convolutional neural networks
VSR Veeravasarapu, C Rothkopf, V Ramesh
arXiv preprint arXiv:1605.09582, 2016
222016
Model validation for vision systems via graphics simulation
VSR Veeravasarapu, RN Hota, C Rothkopf, R Visvanathan
arXiv preprint arXiv:1512.01401, 2015
202015
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
92017
Fast and fully automated video colorization
VSR Veeravasarapu, J Sivaswamy
2012 International Conference on Signal Processing and Communications (SPCOM …, 2012
92012
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
62020
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
62019
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
42015
Motion deblurring as optimisation
VSR Veeravasarapu, J Sivaswamy
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics …, 2010
32010
Disentangling factors of variation with cycle-consistent variational auto-encoders
A Harsh Jha, S Anand, M Singh, VSR Veeravasarapu
arXiv e-prints, arXiv: 1804.10469, 2018
22018
Automated localization of vertebra landmarks in MRI images
A Pai, A Narasimhamurthy, VSV Rao, V Vaidya
Medical Imaging 2011: Computer-Aided Diagnosis 7963, 1030-1035, 2011
22011
Computer Vision Systems and Methods for Unsupervised Learning for Progressively Aligning Noisy Contours
VS Veeravasarapu, A Goel, D Mittal, MK Singh
US Patent App. 18/124,548, 2024
2024
Computer vision systems and methods for unsupervised learning for progressively aligning noisy contours
VS Veeravasarapu, A Goel, D Mittal, MK Singh
US Patent 11,610,322, 2023
2023
Wavelets to the Rescue: Improving Sample Quality of Latent Variable Deep Generative Models
PK Gyawali, R Saha, 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
Simulations for cognitive vision
VS Veeravasarapu
Universitätsbibliothek Johann Christian Senckenberg, 2018
2018
Cardiac Motion Analysis by Temporal Flow Graphs
VSR Veeravasarapu, J Sivaswamy, V Karani
arXiv preprint arXiv:1604.06979, 2016
2016
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Artikelen 1–20