Fei Han

According to our database1, Fei Han authored at least 18 papers between 2016 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2019
Scalable Representation Learning for Long-Term Augmented Reality-Based Information Delivery in Collaborative Human-Robot Perception.
Proceedings of the Virtual, Augmented and Mixed Reality. Applications and Case Studies, 2019

Visual Place Recognition via Robust ℓ2-Norm Distance Based Holism and Landmark Integration.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Learning of Holism-Landmark Graph Embedding for Place Recognition in Long-Term Autonomy.
IEEE Robotics Autom. Lett., 2018

Skeleton-based bio-inspired human activity prediction for real-time human-robot interaction.
Auton. Robots, 2018

Sequence-based sparse optimization methods for long-term loop closure detection in visual SLAM.
Auton. Robots, 2018

Learning Integrated Holism-Landmark Representations for Long-Term Loop Closure Detection.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
SRAL: Shared Representative Appearance Learning for Long-Term Visual Place Recognition.
IEEE Robotics Autom. Lett., 2017

Space-time representation of people based on 3D skeletal data: A review.
Comput. Vis. Image Underst., 2017

Multisensory Omni-directional Long-term Place Recognition: Benchmark Dataset and Analysis.
CoRR, 2017

Optimizing autonomous surveillance route solutions from minimal human-robot interaction.
Proceedings of the IEEE International Symposium on Safety, Security and Rescue Robotics, 2017

Planning-Based Workflow Modeling for AR-enabled Automated Task Guidance.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2017

Sequence-based multimodal apprenticeship learning for robot perception and decision making.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Simultaneous Feature and Body-Part Learning for real-time robot awareness of human behaviors.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Minimum uncertainty latent variable models for robot recognition of sequential human activities.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
Self-Reflective Risk-Aware Artificial Cognitive Modeling for Robot Response to Human Behaviors.
CoRR, 2016

Robust Multimodal Sequence-Based Loop Closure Detection via Structured Sparsity.
Proceedings of the Robotics: Science and Systems XII, University of Michigan, Ann Arbor, Michigan, USA, June 18, 2016

Enforcing Template Representability and Temporal Consistency for Adaptive Sparse Tracking.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

SRAC: Self-Reflective Risk-Aware Artificial Cognitive models for robot response to human activities.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016


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