1 code implementation • CVPR 2022 • Rahul Dey, Vishnu Naresh Boddeti
Furthermore, while a plurality of 3D reconstructions is plausible in the occluded regions, existing approaches are limited to generating only a single solution.
no code implementations • 20 Oct 2021 • Rahul Dey, Vishnu Boddeti
Existing face completion solutions are primarily driven by end-to-end models that directly generate 2D completions of 2D masked faces.
1 code implementation • 19 Dec 2018 • Rahul Dey, Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides
We present a new stage-wise learning paradigm for training generative adversarial networks (GANs).
1 code implementation • 20 Jan 2017 • Rahul Dey, Fathi M. Salem
The paper evaluates three variants of the Gated Recurrent Unit (GRU) in recurrent neural networks (RNN) by reducing parameters in the update and reset gates.