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Vin Bhaskara
Vin Bhaskara
Other namesVineeth Bhaskara
Borealis AI; Prev'ly, Samsung AI Research / University of Toronto / IIT Guwahati.
Verified email at cs.toronto.edu - Homepage
Title
Cited by
Cited by
Year
Aim 2020 challenge on efficient super-resolution: Methods and results
K Zhang, M Danelljan, Y Li, R Timofte, J Liu, J Tang, G Wu, Y Zhu, X He, ...
Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020
992020
Generalized concurrence measure for faithful quantification of multiparticle pure state entanglement using Lagrange’s identity and wedge product
VS Bhaskara, PK Panigrahi
Quantum Information Processing 16 (5), 118, 2017
592017
Emulating malware authors for proactive protection using GANs over a distributed image visualization of dynamic file behavior
VS Bhaskara, D Bhattacharyya
arXiv preprint arXiv:1807.07525, 2018
162018
Implementing Bragg mirrors in a hollow-core photonic-crystal fiber
J Flannery, G Bappi, V Bhaskara, O Alshehri, M Bajcsy
Optical Materials Express 7 (4), 1198-1210, 2017
152017
Mesoscale cavities in hollow-core waveguides for quantum optics with atomic ensembles
CM Haapamaki, J Flannery, G Bappi, R Al Maruf, SV Bhaskara, ...
Nanophotonics 5 (1), 2016
112016
Efficient super-resolution using mobilenetv3
H Wang, V Bhaskara, A Levinshtein, S Tsogkas, A Jepson
Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020
92020
GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks
VS Bhaskara, T Aumentado-Armstrong, A Jepson, A Levinshtein
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
72022
Generalized entanglement measure for continuous-variable systems
SN Swain, VS Bhaskara, PK Panigrahi
Physical Review A 105 (5), 052441, 2022
22022
Unsupervised super-resolution training data construction
A Levinshtein, X Sun, W Haicheng, VS Bhaskara, S Tsogkas, A Jepson
US Patent App. 17/512,312, 2022
22022
Generalized concurrence and partial transpose for pure continuous variable systems of arbitrary degrees of freedom using Lagrange's identity and wedge product
VS Bhaskara, PK Panigrahi
arXiv preprint arXiv:1706.01448v1, 2017
22017
Exploiting Uncertainty of Loss Landscape for Stochastic Optimization
VS Bhaskara, S Desai
arXiv preprint arXiv:1905.13200, 2019
2019
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Articles 1–11