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01/27/2023
Large-Scale Traffic Data Imputation with Spatiotemporal Semantic Understanding
Large-scale data missing is a challenging problem in Intelligent Transpo...
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12/03/2021
Action Units That Constitute Trainable Micro-expressions (and A Large-scale Synthetic Dataset)
Due to the expensive data collection process, micro-expression datasets ...
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07/06/2020
Are Labels Necessary for Classifier Accuracy Evaluation?
To calculate the model accuracy on a computer vision task, e.g., object ...
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09/27/2019
Towards Real-Time Multi-Object Tracking
Modern multiple object tracking (MOT) systems usually follow the trackin...
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09/07/2018
Open Set Adversarial Examples
Adversarial examples in recent works target at closed set recognition sy...
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01/30/2018
Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: the Benefit of Target Expectation Maximization
In this paper we make two contributions to unsupervised domain adaptatio...
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11/15/2017
