Peng Jiang

Orcid: 0000-0002-8349-1743

According to our database1, Peng Jiang authored at least 16 papers between 2021 and 2026.

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

Timeline

Legend:

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Bibliography

2026
Multimodal understanding with GPT-4o to enhance generalizable pedestrian behavior prediction.
Comput. Electr. Eng., 2026

2025
GO: The Great Outdoors Multimodal Dataset.
CoRR, January, 2025

2024
Reflectivity Is All You Need!: Advancing LiDAR Semantic Segmentation.
CoRR, 2024

Off-Road LiDAR Intensity Based Semantic Segmentation.
CoRR, 2024

LLaMAPed: Multi-modal Pedestrian Crossing Intention Prediction.
Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

GPT-4V Takes the Wheel: Promises and Challenges for Pedestrian Behavior Prediction.
Proceedings of the AAAI 2024 Spring Symposium Series, 2024

2023
GPT-4V Takes the Wheel: Evaluating Promise and Challenges for Pedestrian Behavior Prediction.
CoRR, 2023

ROSS: Radar Off-road Semantic Segmentation.
CoRR, 2023

Improving Extrinsics between RADAR and LIDAR using Learning.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Off-Road LiDAR Intensity Based Semantic Segmentation.
Proceedings of the Experimental Robotics - The 18th International Symposium, 2023

2022
Contrastive Learning of Features between Images and LiDAR.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2021
Latent Embedded Graphs for Image and Shape Interpolation.
Comput. Aided Des., 2021

SemCal: Semantic LiDAR-Camera Calibration using Neural Mutual Information Estimator.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2021

LiDARNet: A Boundary-Aware Domain Adaptation Model for Point Cloud Semantic Segmentation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

RELLIS-3D Dataset: Data, Benchmarks and Analysis.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

OFFSEG: A Semantic Segmentation Framework For Off-Road Driving.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021


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