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05/27/2023
Self-Supervised Learning of Action Affordances as Interaction Modes
When humans perform a task with an articulated object, they interact wit...
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04/26/2023
StepFormer: Self-supervised Step Discovery and Localization in Instructional Videos
Instructional videos are an important resource to learn procedural tasks...
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10/31/2022
SAGE: Saliency-Guided Mixup with Optimal Rearrangements
Data augmentation is a key element for training accurate models by reduc...
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05/04/2022
P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision
In this paper, we study the problem of procedure planning in instruction...
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08/26/2021
Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers
In this work, we consider the problem of sequence-to-sequence alignment ...
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03/20/2020
Selecting Relevant Features from a Universal Representation for Few-shot Classification
Popular approaches for few-shot classification consist of first learning...
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03/27/2019
Diversity with Cooperation: Ensemble Methods for Few-Shot Classification
Few-shot classification consists of learning a predictive model that is ...
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09/06/2018
On the Importance of Visual Context for Data Augmentation in Scene Understanding
Performing data augmentation for learning deep neural networks is known ...
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07/19/2018
Modeling Visual Context is Key to Augmenting Object Detection Datasets
Performing data augmentation for learning deep neural networks is well k...
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08/09/2017
