LiDAR Point Cloud Augmentation for Adverse Conditions Using Conditional Generative Model.
Remote. Sens., June, 2024
R-Cut: Enhancing Explainability in Vision Transformers with Relationship Weighted Out and Cut.
Sensors, May, 2024
Disaster learning and aggregate investment.
J. Econ. Theory, 2024
Robust dynamic contracts with multiple agents.
Games Econ. Behav., 2024
DRUformer: Enhancing Driving Scene Important Object Detection With Driving Scene Relationship Understanding.
IEEE Access, 2024
Contrasting Disentangled Partial Observations for Pedestrian Action Prediction.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
Evaluating Financial Relational Graphs: Interpretation Before Prediction.
Proceedings of the 5th ACM International Conference on AI in Finance, 2024
L-DIG: A GAN-Based Method for LiDAR Point Cloud Processing under Snow Driving Conditions.
Sensors, October, 2023
DRUformer: Enhancing the driving scene Important object detection with driving relationship self-understanding.
CoRR, 2023
R-Cut: Enhancing Explainability in Vision Transformers with Relationship Weighted Out and Cut.
CoRR, 2023
LiDAR Point Cloud Translation Between Snow and Clear Conditions Using Depth Images and GANs.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Synthesizing Realistic Snow Effects in Driving Images Using GANs and Real Data with Semantic Guidance.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Open-world driving scene segmentation via multi-stage and multi-modality fusion of vision-language embedding.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Learning to Generalize for Cross-domain QA.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Auditory and visual warning information generation of the risk object in driving scenes based on weakly supervised learning.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
TsFeX: Contact Tracing Model using Time Series Feature Extraction and Gradient Boosting.
CoRR, 2021
Incomplete markets, Knightian uncertainty and high-water marks.
Oper. Res. Lett., 2020