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03/20/2021
Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation
Action segmentation refers to inferring boundaries of semantically consi...
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10/14/2020
Self-Supervised Ranking for Representation Learning
We present a new framework for self-supervised representation learning b...
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04/25/2019
Holistic Large Scale Video Understanding
Action recognition has been advanced in recent years by benchmarks with ...
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04/25/2019
DynamoNet: Dynamic Action and Motion Network
In this paper, we are interested in self-supervised learning the motion ...
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06/19/2018
Spatio-Temporal Channel Correlation Networks for Action Classification
The work in this paper is driven by the question if spatio-temporal corr...
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11/22/2017
Temporal 3D ConvNets: New Architecture and Transfer Learning for Video Classification
The work in this paper is driven by the question how to exploit the temp...
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11/22/2017
Object Discovery By Generative Adversarial & Ranking Networks
The deep generative adversarial networks (GAN) recently have been shown ...
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10/20/2017
Classification Driven Dynamic Image Enhancement
Convolutional neural networks rely on image texture and structure to ser...
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11/24/2016
Weakly Supervised Cascaded Convolutional Networks
Object detection is a challenging task in visual understanding domain, a...
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11/21/2016
Deep Temporal Linear Encoding Networks
The CNN-encoding of features from entire videos for the representation o...
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08/31/2016
Efficient Two-Stream Motion and Appearance 3D CNNs for Video Classification
The video and action classification have extremely evolved by deep neura...
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08/10/2016
DeepCAMP: Deep Convolutional Action & Attribute Mid-Level Patterns
The recognition of human actions and the determination of human attribut...
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06/15/2016
DeepProposals: Hunting Objects and Actions by Cascading Deep Convolutional Layers
In this paper, a new method for generating object and action proposals i...
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10/15/2015