Pengteng Li

Orcid: 0000-0001-6697-376X

Affiliations:
  • Shenzhen University, Shenzhen, China


According to our database1, Pengteng Li authored at least 15 papers between 2023 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2025
Equivariant Volumetric Grasping.
CoRR, July, 2025

From Events to Enhancement: A Survey on Event-Based Imaging Technologies.
CoRR, May, 2025

Multimodal 3D Genome Pre-training.
CoRR, April, 2025

SEE: See Everything Every Time - Adaptive Brightness Adjustment for Broad Light Range Images via Events.
CoRR, February, 2025

EventVL: Understand Event Streams via Multimodal Large Language Model.
CoRR, January, 2025

Subgraph Invariant Learning Towards Large-Scale Graph Node Classification.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
A Language-Driven Navigation Strategy Integrating Semantic Maps and Large Language Models.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

LLaKey: Follow My Basic Action Instructions to Your Next Key State.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

ABM: Attention before Manipulation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

OTOcc: Optimal Transport for Occupancy Prediction.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Robot Trajectron: Trajectory Prediction-based Shared Control for Robot Manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Implicit Grasp Diffusion: Bridging the Gap between Dense Prediction and Sampling-based Grasping.
Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023
Boosting R-CNN: Reweighting R-CNN samples by RPN's error for underwater object detection.
Neurocomputing, April, 2023

IGG: Improved Graph Generation for Domain Adaptive Object Detection.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Bagging R-CNN: Ensemble for Object Detection in Complex Traffic Scenes.
Proceedings of the IEEE International Conference on Acoustics, 2023


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