Yingjie Niu

According to our database, Yingjie Niu authored at least 10 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

L-DIG: A GAN-Based Method for LiDAR Point Cloud Processing under Snow Driving Conditions.

Yuxiao Zhang, Ming Ding, Hanting Yang, Yingjie Niu, Yan Feng, Kento Ohtani, Kazuya Takeda

Sensors, October, 2023

DRUformer: Enhancing the driving scene Important object detection with driving relationship self-understanding.

Yingjie Niu, Ming Ding, Keisuke Fujii, Kento Ohtani, Alexander Carballo, Kazuya Takeda

CoRR, 2023

R-Cut: Enhancing Explainability in Vision Transformers with Relationship Weighted Out and Cut.

Yingjie Niu, Ming Ding, Maoning Ge, Robin Karlsson, Yuxiao Zhang, Kazuya Takeda

CoRR, 2023

LiDAR Point Cloud Translation Between Snow and Clear Conditions Using Depth Images and GANs.

Yuxiao Zhang, Ming Ding, Hanting Yang, Yingjie Niu, Yan Feng, Maoning Ge, Alexander Carballo, Kazuya Takeda

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Synthesizing Realistic Snow Effects in Driving Images Using GANs and Real Data with Semantic Guidance.

Hanting Yang, Ming Ding, Alexander Carballo, Yuxiao Zhang, Kento Ohtani, Yingjie Niu, Maoning Ge, Yan Feng, Kazuya Takeda

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Open-world driving scene segmentation via multi-stage and multi-modality fusion of vision-language embedding.

Yingjie Niu, Ming Ding, Yuxiao Zhang, Maoning Ge, Hanting Yang, Kazuya Takeda

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Learning to Generalize for Cross-domain QA.

Yingjie Niu, Linyi Yang, Ruihai Dong, Yue Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Auditory and visual warning information generation of the risk object in driving scenes based on weakly supervised learning.

Yingjie Niu, Ming Ding, Yuxiao Zhang, Kento Ohtani, Kazuya Takeda

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

2021

TsFeX: Contact Tracing Model using Time Series Feature Extraction and Gradient Boosting.

Manuela Nayantara Jeyaraj, Valerio Antonini, Yingjie Niu, Sonal Santosh Baberwal, Faithful Chiagoziem Onwuegbuche, Robert Foskin

CoRR, 2021

2020

Incomplete markets, Knightian uncertainty and high-water marks.

Fengjun Liu, Yingjie Niu, Zhentao Zou

Oper. Res. Lett., 2020