Search Results for author: Ioannis Marras

Found 7 papers, 0 papers with code

Poly-NL: Linear Complexity Non-local Layers with Polynomials

no code implementations6 Jul 2021 Francesca Babiloni, Ioannis Marras, Filippos Kokkinos, Jiankang Deng, Grigorios Chrysos, Stefanos Zafeiriou

Spatial self-attention layers, in the form of Non-Local blocks, introduce long-range dependencies in Convolutional Neural Networks by computing pairwise similarities among all possible positions.

Face Detection Instance Segmentation +1

Poly-NL: Linear Complexity Non-Local Layers With 3rd Order Polynomials

no code implementations ICCV 2021 Francesca Babiloni, Ioannis Marras, Filippos Kokkinos, Jiankang Deng, Grigorios Chrysos, Stefanos Zafeiriou

Spatial self-attention layers, in the form of Non-Local blocks, introduce long-range dependencies in Convolutional Neural Networks by computing pairwise similarities among all possible positions.

Face Detection Instance Segmentation +1

Reconstructing the Noise Manifold for Image Denoising

no code implementations11 Feb 2020 Ioannis Marras, Grigorios G. Chrysos, Ioannis Alexiou, Gregory Slabaugh, Stefanos Zafeiriou

Deep Convolutional Neural Networks (CNNs) have been successfully used in many low-level vision problems like image denoising.

Conditional Image Generation Image Denoising +1

Pixel Adaptive Filtering Units

no code implementations24 Nov 2019 Filippos Kokkinos, Ioannis Marras, Matteo Maggioni, Gregory Slabaugh, Stefanos Zafeiriou

Next, we employ PAFU in deep neural networks as a replacement of standard convolutional layers to enhance the original architectures with spatially varying computations to achieve considerable performance improvements.

Translation

Deep Globally Constrained MRFs for Human Pose Estimation

no code implementations ICCV 2017 Ioannis Marras, Petar Palasek, Ioannis Patras

We overcome this by introducing a Markov Random Field (MRF)-based spatial model network between the coarse and the refinement model that introduces geometric constraints on the relative locations of the body joints.

Pose Estimation

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