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Zhensong Wei
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2020 – today
- 2023
- [c8]Zhouqiao Zhao, Zhensong Wei, Danyang Tian, Bryan Reimer, Pnina Gershon, Ehsan Moradi-Pari:
End-to-End Spatio-Temporal Attention-Based Lane-Change Intention Prediction from Multi-Perspective Cameras. IV 2023: 1-8 - 2022
- [c7]Zhensong Wei, Xuewei Qi, Zhengwei Bai
, Guoyuan Wu, Saswat Priyadarshi Nayak, Peng Hao, Matthew J. Barth, Yongkang Liu, Kentaro Oguchi:
Spatiotemporal Transformer Attention Network for 3D Voxel Level Joint Segmentation and Motion Prediction in Point Cloud. IV 2022: 1381-1386 - [i9]Zhensong Wei, Xuewei Qi, Zhengwei Bai, Guoyuan Wu, Saswat Priyadarshi Nayak, Peng Hao, Matthew J. Barth, Yongkang Liu, Kentaro Oguchi:
Spatiotemporal Transformer Attention Network for 3D Voxel Level Joint Segmentation and Motion Prediction in Point Cloud. CoRR abs/2203.00138 (2022) - 2021
- [c6]Peng Hao, Zhensong Wei, Danial Esaid, Nigel Williams, Aravind Kailas, Pascal Amar, Kyle Palmeter, Lennard Levin, Stephen Orens, Matthew J. Barth, Kanok Boriboonsomsin:
Connected Vehicle-based Truck Eco-Driving: A Simulation Study. ITSC 2021: 1592-1597 - [c5]Pingbo Ruan, Guoyuan Wu, Zhensong Wei, Matthew J. Barth:
A Modularized Electric Vehicle Model-in-the-Loop Simulation for Transportation Electrification Modeling and Analysis. ITSC 2021: 1685-1690 - 2020
- [c4]Zhouqiao Zhao, Zhensong Wei, Guoyuan Wu, Matthew J. Barth:
Developing a Data-driven Modularized Model of a Plug-in Hybrid Electric Bus (PHEB) for Connected and Automated Vehicle Applications. ITSC 2020: 1-6 - [i8]Zhensong Wei, Yu Jiang, Xishun Liao, Xuewei Qi, Ziran Wang, Guoyuan Wu, Peng Hao, Matthew J. Barth:
End-to-End Vision-Based Adaptive Cruise Control (ACC) Using Deep Reinforcement Learning. CoRR abs/2001.09181 (2020)
2010 – 2019
- 2019
- [j1]Zhensong Wei, Huihui Bai, Yao Zhao:
Stage-GAN with Semantic Maps for Large-scale Image Super-resolution. KSII Trans. Internet Inf. Syst. 13(8): 3942-3961 (2019) - [c3]Zhensong Wei, Zeyi Liao, Huihui Bai, Yao Zhao:
Semantic Map Based Image Compression via Conditional Generative Adversarial Network. ICIG (3) 2019: 13-22 - [c2]Zhensong Wei, Chao Wang, Peng Hao, Matthew J. Barth:
Vision-Based Lane-Changing Behavior Detection Using Deep Residual Neural Network. ITSC 2019: 3108-3113 - [c1]Zhensong Wei, Peng Hao, Matthew J. Barth
Developing an Adaptive Strategy for Connected Eco-Driving under Uncertain Traffic Condition. IV 2019: 2066-2071 - [i7]Tairan Liu, Zhensong Wei, Yair Rivenson, Kevin de Haan, Yibo Zhang, Yichen Wu, Aydogan Ozcan:
Deep learning-based color holographic microscopy. CoRR abs/1907.06727 (2019) - [i6]Zhensong Wei, Chao Wang, Peng Hao, Matthew J. Barth:
Vision-Based Lane-Changing Behavior Detection Using Deep Residual Neural Network. CoRR abs/1911.03565 (2019) - 2018
- [i5]Yichen Wu, Yair Rivenson, Yibo Zhang, Zhensong Wei, Harun Gunaydin, Xing Lin, Aydogan Ozcan:
Extended depth-of-field in holographic image reconstruction using deep learning based auto-focusing and phase-recovery. CoRR abs/1803.08138 (2018) - [i4]Yair Rivenson, Hongda Wang, Zhensong Wei, Yibo Zhang, Harun Gunaydin, Aydogan Ozcan:
Deep learning-based virtual histology staining using auto-fluorescence of label-free tissue. CoRR abs/1803.11293 (2018) - [i3]Yair Rivenson, Tairan Liu, Zhensong Wei, Yibo Zhang, Aydogan Ozcan:
PhaseStain: Digital staining of label-free quantitative phase microscopy images using deep learning. CoRR abs/1807.07701 (2018) - [i2]Tairan Liu, Kevin de Haan, Yair Rivenson, Zhensong Wei, Xin Zeng, Yibo Zhang, Aydogan Ozcan:
Deep learning-based super-resolution in coherent imaging systems. CoRR abs/1810.06611 (2018) - 2017
- [i1]Yair Rivenson, Hatice Ceylan Koydemir, Hongda Wang, Zhensong Wei, Zhengshuang Ren, Harun Gunaydin, Yibo Zhang, Zoltan Gorocs, Kyle Liang, Derek Tseng, Aydogan Ozcan:
Deep learning enhanced mobile-phone microscopy. CoRR abs/1712.04139 (2017)
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