Te Cui

Orcid: 0009-0002-3265-3148

According to our database1, Te Cui authored at least 16 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Learning From Videos Through Graph-to-Graphs Generative Modeling for Robotic Manipulation.
IEEE Trans. Robotics, 2026

2025
See Once, Then Act: Vision-Language-Action Model with Task Learning from One-Shot Video Demonstrations.
CoRR, December, 2025

Hierarchical Autoregressive Modeling With Multi-Scale Refinement for Robot Policy Learning.
IEEE Robotics Autom. Lett., November, 2025

GLUE: Global-Local Unified Encoding for Imitation Learning via Key-Patch Tracking.
CoRR, September, 2025

FMimic: Foundation Models are Fine-grained Action Learners from Human Videos.
CoRR, July, 2025

Unifying Latent Action and Latent State Pre-training for Policy Learning from Videos.
Proceedings of the SIGGRAPH Asia 2025 Conference Papers, 2025

TASeg: Text-aware RGB-T Semantic Segmentation based on Fine-tuning Vision Foundation Models.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Human Demonstrations are Generalizable Knowledge for Robots.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

ORA-NET: Enhancing Image Feature Matching through Oriented Overlapping Region Alignment.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

High-Precision Object Pose Estimation Using Visual-Tactile Information for Dynamic Interactions in Robotic Grasping.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

GraphMimic: Graph-to-Graphs Generative Modeling from Videos for Policy Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
VIFNet: An end-to-end visible-infrared fusion network for image dehazing.
Neurocomputing, 2024

VLMimic: Vision Language Models are Visual Imitation Learner for Fine-grained Actions.
CoRR, 2024

VLMimic: Vision Language Models are Visual Imitation Learner for Fine-grained Actions.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Robust Collaborative Perception against Temporal Information Disturbance.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Human Demonstrations are Generalizable Knowledge for Robots.
CoRR, 2023


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