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Research

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This page introduces current research projects of our lab. The old projects are here.

Adversarial Attack on Action Recognition

Adversarial Attack on Action RecognitionSkeleton-based action recognition models have r...

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Domain Adaptation by Adversarial Training

Domain Adaptation by Adversarial Training Unsupervised domain adaptation, which involve...

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Adversarial Attacks on Legged Robots

Adversarial Body Shape Search for Legged Robots We propose an evolutionary computation ...

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Adversarial Attacks in Frequency domain for robust image classifiler

Adversarial amplitude swap towards robust image classifiers The vulnerability of convol...

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Zero-Shot Action Recognition

Zero-Shot Action Recognition Large datasets are often used to improve the accuracy of a...

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Reinforcement Learning for Damaged Robot Control

Reinforcement Learning for Damaged Robot ControlIn reinforcement learning, for cost and ...

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Deep Models for Spatiotemporal forecasting

Deep Models for Spatiotemporal forecasting Recent approaches to time series forecasting...

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First-person activity recognition

First-Person Activity RecognitionWe have developed a system for first-person activity rec...

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Game-Theoretic Understanding of Misclassification in Deep Learning

Game-Theoretic Understanding of Misclassification in Deep Learning This study analyzes ...

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Research

  • Game-Theoretic Understanding of Misclassification in Deep Learning
  • Zero-Shot Action Recognition
  • Adversarial Attacks in Frequency domain for robust image classifiler
  • First-person activity recognition
  • Domain Adaptation by Adversarial Training
  • Deep Models for Spatiotemporal forecasting
  • Adversarial Attacks on Legged Robots
  • Reinforcement Learning for Damaged Robot Control
  • Adversarial Attack on Action Recognition
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  • Research
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  • Language: English

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