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ORCIDYingjie Niu
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2020 – today
- 2024
[j6]Yingjie Niu
, Ming Ding, Keisuke Fujii, Kento Ohtani, Alexander Carballo, Kazuya Takeda:
DRUformer: Enhancing Driving Scene Important Object Detection With Driving Scene Relationship Understanding. IEEE Access 12: 67589-67599 (2024)- [j5]Yingjie Niu, Jinqiang Yang, Zhentao Zou:
Disaster learning and aggregate investment. J. Econ. Theory 220: 105872 (2024) - [j4]Yuxiao Zhang, Ming Ding, Hanting Yang, Yingjie Niu, Maoning Ge, Kento Ohtani, Chi Zhang, Kazuya Takeda:
LiDAR Point Cloud Augmentation for Adverse Conditions Using Conditional Generative Model. Remote. Sens. 16(12): 2247 (2024) - [j3]Yingjie Niu, Ming Ding, Maoning Ge, Robin Karlsson, Yuxiao Zhang, Alexander Carballo, Kazuya Takeda:
R-Cut: Enhancing Explainability in Vision Transformers with Relationship Weighted Out and Cut. Sensors 24(9): 2695 (2024) - [c6]Yan Feng, Alexander Carballo, Yingjie Niu, Kazuya Takeda:
Contrasting Disentangled Partial Observations for Pedestrian Action Prediction. IV 2024: 2828-2833 - 2023
- [j2]Yuxiao Zhang, Ming Ding, Hanting Yang, Yingjie Niu, Yan Feng, Kento Ohtani, Kazuya Takeda:
L-DIG: A GAN-Based Method for LiDAR Point Cloud Processing under Snow Driving Conditions. Sensors 23(21): 8660 (2023) - [c5]Yingjie Niu, Linyi Yang, Ruihai Dong, Yue Zhang:
Learning to Generalize for Cross-domain QA. ACL (Findings) 2023: 1298-1313 - [c4]Yingjie Niu, Ming Ding, Yuxiao Zhang, Maoning Ge, Hanting Yang, Kazuya Takeda:
Open-world driving scene segmentation via multi-stage and multi-modality fusion of vision-language embedding. IV 2023: 1-6 - [c3]Hanting Yang, Ming Ding, Alexander Carballo, Yuxiao Zhang, Kento Ohtani, Yingjie Niu, Maoning Ge, Yan Feng, Kazuya Takeda:
Synthesizing Realistic Snow Effects in Driving Images Using GANs and Real Data with Semantic Guidance. IV 2023: 1-6 - [c2]Yuxiao Zhang, Ming Ding, Hanting Yang, Yingjie Niu, Yan Feng, Maoning Ge, Alexander Carballo, Kazuya Takeda:
LiDAR Point Cloud Translation Between Snow and Clear Conditions Using Depth Images and GANs. IV 2023: 1-7 - [i4]Yingjie Niu, Linyi Yang, Ruihai Dong, Yue Zhang:
Learning to Generalize for Cross-domain QA. CoRR abs/2305.08208 (2023) - [i3]Yingjie Niu, Ming Ding, Maoning Ge, Robin Karlsson, Yuxiao Zhang, Kazuya Takeda:
R-Cut: Enhancing Explainability in Vision Transformers with Relationship Weighted Out and Cut. CoRR abs/2307.09050 (2023) - [i2]Yingjie Niu, Ming Ding, Keisuke Fujii, Kento Ohtani, Alexander Carballo, Kazuya Takeda:
DRUformer: Enhancing the driving scene Important object detection with driving relationship self-understanding. CoRR abs/2311.06497 (2023) - 2022
- [c1]Yingjie Niu, Ming Ding, Yuxiao Zhang, Kento Ohtani, Kazuya Takeda:
Auditory and visual warning information generation of the risk object in driving scenes based on weakly supervised learning. IV 2022: 1572-1577 - 2021
- [i1]Manuela Nayantara Jeyaraj, Valerio Antonini, Yingjie Niu, Sonal Santosh Baberwal, Faithful Chiagoziem Onwuegbuche, Robert Foskin:
TsFeX: Contact Tracing Model using Time Series Feature Extraction and Gradient Boosting. CoRR abs/2111.14454 (2021) - 2020
- [j1]Fengjun Liu, Yingjie Niu, Zhentao Zou:
Incomplete markets, Knightian uncertainty and high-water marks. Oper. Res. Lett. 48(2): 195-201 (2020)
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