Omid Poursaeed | DeepAI

DeepAI

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∙ 09/06/2021

Robustness and Generalization via Generative Adversarial Training

While deep neural networks have achieved remarkable success in various c...

Omid Poursaeed, et al. ∙

∙ 11/25/2020

Augmentation-Interpolative AutoEncoders for Unsupervised Few-Shot Image Generation

We aim to build image generation models that generalize to new domains f...

Davis Wertheimer, et al. ∙

∙ 08/01/2020

Self-supervised Learning of Point Clouds via Orientation Estimation

Point clouds provide a compact and efficient representation of 3D shapes...

Omid Poursaeed, et al. ∙

∙ 07/20/2020

Coupling Explicit and Implicit Surface Representations for Generative 3D Modeling

We propose a novel neural architecture for representing 3D surfaces, whi...

Omid Poursaeed, et al. ∙

∙ 11/20/2019

Fine-grained Synthesis of Unrestricted Adversarial Examples

We propose a novel approach for generating unrestricted adversarial exam...

Omid Poursaeed, et al. ∙

∙ 10/04/2019

Neural Puppet: Generative Layered Cartoon Characters

We propose a learning based method for generating new animations of a ca...

Omid Poursaeed, et al. ∙

∙ 10/03/2018

Deep Fundamental Matrix Estimation without Correspondences

Estimating fundamental matrices is a classic problem in computer vision....

Omid Poursaeed, et al. ∙

∙ 12/06/2017

Generative Adversarial Perturbations

In this paper, we propose novel generative models for creating adversari...

Omid Poursaeed, et al. ∙

∙ 07/18/2017

Vision-based Real Estate Price Estimation

Since the advent of online real estate database companies like Zillow, T...

Omid Poursaeed, et al. ∙

∙ 12/13/2016

Stacked Generative Adversarial Networks

In this paper, we propose a novel generative model named Stacked Generat...

Xun Huang, et al. ∙