Omid Poursaeed

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cornell university

PhD candidate at Cornell University and Cornell Tech working on Computer Vision and Generative Models

Robustness and Generalization via Generative Adversarial Training

While deep neural networks have achieved remarkable success in various c...
09/06/2021 ∙ by Omid Poursaeed, et al. ∙ 2 ∙ share

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Augmentation-Interpolative AutoEncoders for Unsupervised Few-Shot Image Generation

We aim to build image generation models that generalize to new domains f...
11/25/2020 ∙ by Davis Wertheimer, et al. ∙ 0 ∙ share

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Self-supervised Learning of Point Clouds via Orientation Estimation

Point clouds provide a compact and efficient representation of 3D shapes...
08/01/2020 ∙ by Omid Poursaeed, et al. ∙ 0 ∙ share

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Coupling Explicit and Implicit Surface Representations for Generative 3D Modeling

We propose a novel neural architecture for representing 3D surfaces, whi...
07/20/2020 ∙ by Omid Poursaeed, et al. ∙ 0 ∙ share

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Fine-grained Synthesis of Unrestricted Adversarial Examples

We propose a novel approach for generating unrestricted adversarial exam...
11/20/2019 ∙ by Omid Poursaeed, et al. ∙ 12 ∙ share

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Neural Puppet: Generative Layered Cartoon Characters

We propose a learning based method for generating new animations of a ca...
10/04/2019 ∙ by Omid Poursaeed, et al. ∙ 17 ∙ share

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Deep Fundamental Matrix Estimation without Correspondences

Estimating fundamental matrices is a classic problem in computer vision....
10/03/2018 ∙ by Omid Poursaeed, et al. ∙ 1 ∙ share

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Generative Adversarial Perturbations

In this paper, we propose novel generative models for creating adversari...
12/06/2017 ∙ by Omid Poursaeed, et al. ∙ 0 ∙ share

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Vision-based Real Estate Price Estimation

Since the advent of online real estate database companies like Zillow, T...
07/18/2017 ∙ by Omid Poursaeed, et al. ∙ 0 ∙ share

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Stacked Generative Adversarial Networks

In this paper, we propose a novel generative model named Stacked Generat...
12/13/2016 ∙ by Xun Huang, et al. ∙ 0 ∙ share

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Omid Poursaeed

Featured Co-authors

Serge Belongie

Eli Shechtman

Bharath Hariharan

Ser Nam Lim

Vladimir G. Kim

Matthew Fisher

Yixuan Li

Xun Huang

Isay Katsman

Noam Aigerman

Guandao Yang

Robustness and Generalization via Generative Adversarial Training

Augmentation-Interpolative AutoEncoders for Unsupervised Few-Shot Image Generation

Self-supervised Learning of Point Clouds via Orientation Estimation

Coupling Explicit and Implicit Surface Representations for Generative 3D Modeling

Fine-grained Synthesis of Unrestricted Adversarial Examples

Neural Puppet: Generative Layered Cartoon Characters

Deep Fundamental Matrix Estimation without Correspondences

Generative Adversarial Perturbations

Vision-based Real Estate Price Estimation

Stacked Generative Adversarial Networks