CV

Education

2021/02 - Present: Lehigh University, WiNS Lab | Bethlehem, PA
Research Assistant
- Supervisor: Mooi Choo Chuah
- Conduct research and propose cutting-edge algorithms; Design experiments and perform qualitative and quantitative evaluations
2025/05 - 2025/08: Johnson & Johnson, Computer Vision Team | Cambridge, MA
Computer Vision Intern
- Mentor: Brandon Ginley
2024/12 - 2025/06: 8th Workshop on Efficient Deep Learning for Computer Vision, CVPR | Nashville, TN
Technical Program Committee
- Mentor: Shuai Zhang
- Organize the 2025 IEEE Low Power Computer Vision Challenge (LPCVC) open-vocabulary segmentation track (40+ teams involved); Collect data and evaluate the baseline model

Languages: Python, C/C++, C, Git, Bash
Deep Learning Frameworks: PyTorch, TensorFlow, OpenCV, Keras, MMCV, MMSeg
Computer Vision Algorithms: Vision-Language Models, Image/Video Segmentation, Multi-sensor Fusion, Low-light Vision
Technologies & Tools: Visual Studio, Linux, Hugging Face, Docker
Soft skills: Written and Verbal Communication, Passion, Teamwork, Mathematical Skills \

[ArXiv 2025] Rethinking RGB-Event Semantic Segmentation with a Novel Bidirectional Motion-enhanced Event Representation
Zhen Yao, Xiaowen Ying, and Mooi Choo Chuah. arXiv, 2025.
[WACV 2025] Event-guided Low-light Video Semantic Segmentation
Zhen Yao, and Mooi Choo Chuah. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025.
[ICRA 2024] CrackNex: a Few-shot Low-light Crack Segmentation Model Based on Retinex Theory for UAV Inspections
Zhen Yao, Jiawei Xu, Shuhang Hou, and Mooi Choo Chuah. IEEE International Conference on Robotics and Automation (ICRA), 2024.
[T-ITS 2023] Goal-lbp: Goal-based local behavior guided trajectory prediction for autonomous driving
Zhen Yao, Xin Li, Bo Lang, and Mooi Choo Chuah. IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2023.
[WACV 2023] Robustness of trajectory prediction models under map-based attacks
Zhihao Zheng, Xiaowen Ying, Zhen Yao, and Mooi Choo Chuah. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.