Liangliang Ren

Orcid: 0000-0003-2322-4122

According to our database1, Liangliang Ren authored at least 13 papers between 2017 and 2024.

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

Timeline

2017
2018
2019
2020
2021
2022
2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
VIRT: Vision Instructed Transformer for Robotic Manipulation.
CoRR, 2024

EfficientDPS: Efficient and End-to-End Depth-aware Panoptic Segmentation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Implicit and Efficient Point Cloud Completion for 3D Single Object Tracking.
IEEE Robotics Autom. Lett., April, 2023

2021
Personalized Trajectory Prediction via Distribution Discrimination.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Spatial Geometric Reasoning for Room Layout Estimation via Deep Reinforcement Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Uniform and Variational Deep Learning for RGB-D Object Recognition and Person Re-Identification.
IEEE Trans. Image Process., 2019

Self-Critical Attention Learning for Person Re-Identification.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Enhanced Bayesian Compression via Deep Reinforcement Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Relaxation-Free Deep Hashing via Policy Gradient.
Proceedings of the Computer Vision - ECCV 2018, 2018

Deep Reinforcement Learning with Iterative Shift for Visual Tracking.
Proceedings of the Computer Vision - ECCV 2018, 2018

Collaborative Deep Reinforcement Learning for Multi-object Tracking.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Multi-modal uniform deep learning for RGB-D person re-identification.
Pattern Recognit., 2017

Consistent-Aware Deep Learning for Person Re-identification in a Camera Network.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017


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