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DROID: Minimizing the Reality Gap using Single-Shot Human Demonstration
Reinforcement learning (RL) has demonstrated great success in the past s...
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Domain Adaptation Gaze Estimation by Embedding with Prediction Consistency
Gaze is the essential manifestation of human attention. In recent years,...
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An Efficient Adversarial Attack for Tree Ensembles
We study the problem of efficient adversarial attacks on tree based ense...
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Learning End-to-End Action Interaction by Paired-Embedding Data Augmentation
In recognition-based action interaction, robots' responses to human acti...
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Attention-Oriented Action Recognition for Real-Time Human-Robot Interaction
Despite the notable progress made in action recognition tasks, not much ...
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KGClean: An Embedding Powered Knowledge Graph Cleaning Framework
The quality assurance of the knowledge graph is a prerequisite for vario...
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Self-Guided Adaptation: Progressive Representation Alignment for Domain Adaptive Object Detection
Unsupervised domain adaptation (UDA) has achieved unprecedented success ...
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Transceiver Design for Ambient Backscatter Communication over Frequency-Selective Channels
Existing studies about ambient backscatter communication mostly assume f...
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Interference-Free Transceiver Design and Signal Detection for Ambient Backscatter Communication Systems over Frequency-Selective Channels
In this letter, we study the ambient backscatter communication systems o...
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A Multi-State Diagnosis and Prognosis Framework with Feature Learning for Tool Condition Monitoring
In this paper, a multi-state diagnosis and prognosis (MDP) framework is ...
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A Cost-Sensitive Deep Belief Network for Imbalanced Classification
Imbalanced data with a skewed class distribution are common in many real...
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Efficient Column Generation for Cell Detection and Segmentation
We study the problem of instance segmentation in biological images with ...
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Multi-Person Pose Estimation via Column Generation
We study the problem of multi-person pose estimation in natural images. ...
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The Candidate Multi-Cut for Cell Segmentation
Two successful approaches for the segmentation of biomedical images are ...
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On Reject and Refine Options in Multicategory Classification
In many real applications of statistical learning, a decision made from ...
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Efficient Pose and Cell Segmentation using Column Generation
We study the problems of multi-person pose segmentation in natural image...
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Multi-category Angle-based Classifier Refit
Classification is an important statistical learning tool. In real applic...
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An active efficient coding model of the optokinetic nystagmus
Optokinetic nystagmus (OKN) is an involuntary eye movement responsible f...
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