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09/01/2022
Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation
This paper introduces a unified framework for video action segmentation ...
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01/27/2022
Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives
This paper introduces Ranking Info Noise Contrastive Estimation (RINCE),...
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10/27/2021
Taylor Swift: Taylor Driven Temporal Modeling for Swift Future Frame Prediction
While recurrent neural networks (RNNs) demonstrate outstanding capabilit...
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09/23/2021
Long Short View Feature Decomposition via Contrastive Video Representation Learning
Self-supervised video representation methods typically focus on the repr...
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12/03/2020
Self-labeled Conditional GANs
This paper introduces a novel and fully unsupervised framework for condi...
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11/11/2020
Unsupervised Video Representation Learning by Bidirectional Feature Prediction
This paper introduces a novel method for self-supervised video represent...
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05/01/2018
Boosting Self-Supervised Learning via Knowledge Transfer
In self-supervised learning, one trains a model to solve a so-called pre...
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08/22/2017
Reflection Separation and Deblurring of Plenoptic Images
In this paper, we address the problem of reflection removal and deblurri...
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08/22/2017
Representation Learning by Learning to Count
We introduce a novel method for representation learning that uses an art...
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01/05/2017
Motion Deblurring in the Wild
The task of image deblurring is a very ill-posed problem as both the ima...
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03/30/2016
