Min Liu

Orcid: 0000-0003-3086-315X

Affiliations:
  • Chinese Academy of Military Science, China
  • National University of Defense Technology, Hunan, China
  • University of Maryland at College Park, MD, USA


According to our database1, Min Liu authored at least 15 papers between 2016 and 2024.

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

2024
Deep Tiny Network for Recognition-Oriented Face Image Quality Assessment.
Proceedings of the Computational Visual Media - 12th International Conference, 2024

2023
Joint search of optimal topology and trajectory for planar linkages.
Int. J. Robotics Res., April, 2023

2022
Learning high-DOF reaching-and-grasping via dynamic representation of gripper-object interaction.
ACM Trans. Graph., 2022

2021
Deep Tiny Network for Recognition-Oriented Face Image Quality Assessment.
CoRR, 2021

2020
New Formulation of Mixed-Integer Conic Programming for Globally Optimal Grasp Planning.
IEEE Robotics Autom. Lett., 2020

Spectral Convolution Feature-Based SPD Matrix Representation for Signal Detection Using a Deep Neural Network.
Entropy, 2020

Deep Differentiable Grasp Planner for High-DOF Grippers.
Proceedings of the Robotics: Science and Systems XVI, 2020

2019
Recurrent 3D attentional networks for end-to-end active object recognition.
Comput. Vis. Media, 2019

Globally Optimal Joint Search of Topology and Trajectory for Planar Linkages.
CoRR, 2019

Exploiting Category-Level Semantic Relationships for Fine-Grained Image Recognition.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

Globally Optimal Joint Search of Topology and Trajectory for Planar Linkages.
Proceedings of the Robotics Research, 2019

Generating Grasp Poses for a High-DOF Gripper Using Neural Networks.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2016
3D attention-driven depth acquisition for object identification.
ACM Trans. Graph., 2016

Recurrent 3D Attentional Networks for End-to-End Active Object Recognition in Cluttered Scenes.
CoRR, 2016

Volumetric spatial transformer network for object recognition.
Proceedings of the SIGGRAPH ASIA 2016, Macao, December 5-8, 2016 - Posters, 2016


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