Aysegul Dundar

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Purdue University ∙ Nvidia

Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos

Unsupervised landmark learning is the task of learning semantic keypoint...
01/26/2020 ∙ by Aysegul Dundar, et al. ∙ 25 ∙ share

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Video Interpolation and Prediction with Unsupervised Landmarks

Prediction and interpolation for long-range video data involves the comp...
09/06/2019 ∙ by Kevin J. Shih, et al. ∙ 1 ∙ share

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Unsupervised Video Interpolation Using Cycle Consistency

Learning to synthesize high frame rate videos via interpolation requires...
06/13/2019 ∙ by Fitsum A. Reda, et al. ∙ 1 ∙ share

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Domain Stylization: A Strong, Simple Baseline for Synthetic to Real Image Domain Adaptation

Deep neural networks have largely failed to effectively utilize syntheti...
07/24/2018 ∙ by Aysegul Dundar, et al. ∙ 1 ∙ share

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Human-like Clustering with Deep Convolutional Neural Networks

Classification and clustering have been studied separately in machine le...
06/15/2017 ∙ by Ali Borji, et al. ∙ 0 ∙ share

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Flattened Convolutional Neural Networks for Feedforward Acceleration

We present flattened convolutional neural networks that are designed for...
12/17/2014 ∙ by Jonghoon Jin, et al. ∙ 0 ∙ share

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An Analysis of the Connections Between Layers of Deep Neural Networks

We present an analysis of different techniques for selecting the connect...
06/01/2013 ∙ by Eugenio Culurciello, et al. ∙ 0 ∙ share

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Clustering Learning for Robotic Vision

We present the clustering learning technique applied to multi-layer feed...
01/13/2013 ∙ by Eugenio Culurciello, et al. ∙ 0 ∙ share

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Visual Tracking with Similarity Matching Ratio

This paper presents a novel approach to visual tracking: Similarity Matc...
09/12/2012 ∙ by Aysegul Dundar, et al. ∙ 0 ∙ share

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Aysegul Dundar

Featured Co-authors

Jan Kautz

Ali Borji

Ming-Yu Liu

Animesh Garg

Bryan Catanzaro

Deqing Sun

Andrew Tao

Ting-Chun Wang

Eugenio Culurciello

Mohammad Shoeybi

Kevin J. Shih

Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos

Video Interpolation and Prediction with Unsupervised Landmarks

Unsupervised Video Interpolation Using Cycle Consistency

Domain Stylization: A Strong, Simple Baseline for Synthetic to Real Image Domain Adaptation

Human-like Clustering with Deep Convolutional Neural Networks

Flattened Convolutional Neural Networks for Feedforward Acceleration

An Analysis of the Connections Between Layers of Deep Neural Networks

Clustering Learning for Robotic Vision

Visual Tracking with Similarity Matching Ratio