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07/20/2021
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning
Deep Metric Learning (DML) aims to find representations suitable for zer...
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07/06/2021
iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis
How would a static scene react to a local poke? What are the effects on ...
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06/21/2021
Understanding Object Dynamics for Interactive Image-to-Video Synthesis
What would be the effect of locally poking a static scene? We present an...
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05/10/2021
Stochastic Image-to-Video Synthesis using cINNs
Video understanding calls for a model to learn the characteristic interp...
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03/08/2021
Behavior-Driven Synthesis of Human Dynamics
Generating and representing human behavior are of major importance for v...
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09/17/2020
S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning
Deep Metric Learning (DML) provides a crucial tool for visual similarity...
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04/28/2020
DiVA: Diverse Visual Feature Aggregation forDeep Metric Learning
Visual Similarity plays an important role in many computer vision applic...
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04/28/2020
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning
Visual Similarity plays an important role in many computer vision applic...
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04/12/2020
Sharing Matters for Generalization in Deep Metric Learning
Learning the similarity between images constitutes the foundation for nu...
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03/24/2020
PADS: Policy-Adapted Sampling for Visual Similarity Learning
Learning visual similarity requires to learn relations, typically betwee...
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02/19/2020
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning
Deep Metric Learning (DML) is arguably one of the most influential lines...
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11/18/2019
Unsupervised Representation Learning by Discovering Reliable Image Relations
Learning robust representations that allow to reliably establish relatio...
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03/16/2019
Unsupervised Part-Based Disentangling of Object Shape and Appearance
Large intra-class variation is the result of changes in multiple object ...
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08/03/2017