Meysam Madadi | DeepAI

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∙ 03/23/2022

Towards explaining the generalization gap in neural networks using topological data analysis

Understanding how neural networks generalize on unseen data is crucial f...

10 Rubén Ballester, et al. ∙

∙ 11/15/2021

Multi-Task Classification of Sewer Pipe Defects and Properties using a Cross-Task Graph Neural Network Decoder

The sewerage infrastructure is one of the most important and expensive i...

7 Joakim Bruslund Haurum, et al. ∙

∙ 06/24/2021

ChaLearn Looking at People: Inpainting and Denoising challenges

Dealing with incomplete information is a well studied problem in the con...

28 Sergio Escalera, et al. ∙

∙ 09/06/2020

DeePSD: Automatic Deep Skinning And Pose Space Deformation For 3D Garment Animation

We present a novel approach to the garment animation problem through dee...

83 Hugo Bertiche, et al. ∙

∙ 05/01/2020

Computing the Testing Error without a Testing Set

Deep Neural Networks (DNNs) have revolutionized computer vision. We now ...

0 Ciprian Corneanu, et al. ∙

∙ 12/05/2019

CLOTH3D: Clothed 3D Humans

This work presents CLOTH3D, the first big scale synthetic dataset of 3D ...

53 Hugo Bertiche, et al. ∙

∙ 05/08/2019

Multi-task human analysis in still images: 2D/3D pose, depth map, and multi-part segmentation

While many individual tasks in the domain of human analysis have recentl...

0 Daniel Sanchez, et al. ∙

∙ 12/27/2018

SMPLR: Deep SMPL reverse for 3D human pose and shape recovery

A recent trend in 3D human pose and shape estimation is to use deep lear...

8 Meysam Madadi, et al. ∙

∙ 09/21/2018

From 2D to 3D Geodesic-based Garment Matching

A new approach for 2D to 3D garment retexturing is proposed based on Gau...

0 Meysam Madadi, et al. ∙

∙ 03/15/2018

Deep Structure Inference Network for Facial Action Unit Recognition

Facial expressions are combinations of basic components called Action Un...

0 Ciprian A. Corneanu, et al. ∙

∙ 02/02/2018

Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos

Explainability and interpretability are two critical aspects of decision...

0 Hugo Jair Escalante, et al. ∙

∙ 12/11/2017

3D Hand Pose Estimation: From Current Achievements to Future Goals

In this paper, we strive to answer two questions: What is the current st...

0 Shanxin Yuan, et al. ∙

∙ 05/26/2017

End-to-end Global to Local CNN Learning for Hand Pose Recovery in Depth data

Despite recent advances in 3D pose estimation of human hands, especially...

0 Meysam Madadi, et al. ∙

∙ 03/09/2017

End-to-end semantic face segmentation with conditional random fields as convolutional, recurrent and adversarial networks

Recent years have seen a sharp increase in the number of related yet dis...

0 Umut Güçlü, et al. ∙

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