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Jupyter notebook markdown generator

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portfolio

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publications

WACV 2023

Robustness of trajectory prediction models under map-based attacks

Zhihao Zheng, Xiaowen Ying, Zhen Yao, Mooi Choo Chuah
TL;DR: We study the robustness of trajectory prediction models with image-based or node-based map representations under our newly proposed map-based adversarial attacks and propose two effective defense mechanisms to defend against such map-based attacks.
[Paper] | [BibTeX]

IEEE-TITS 2023

Goal-lbp: Goal-based local behavior guided trajectory prediction for autonomous driving

Zhen Yao, Xin Li, Bo Lang, Mooi Choo Chuah
TL;DR: We propose a goal-based local behavior guided model, Goal-LBP, using historical paths at a certain location (referred as local behavior data) to generate potential goals and guide the prediction of trajectories conditioned on such goals.
[Paper] | [BibTeX]

ICRA 2024

CrackNex: a Few-shot Low-light Crack Segmentation Model Based on Retinex Theory for UAV Inspections

Zhen Yao, Jiawei Xu, Shuhang Hou, Mooi Choo Chuah
TL;DR: We propose CrackNex, a framework that utilizes reflectance based on Retinex Theory and few-shot strategy to address limited low-light crack training data issue, and present the first benchmark dataset, LCSD, for low-light crack segmentation.
[Paper] | [Code] | [arXiv] | [BibTeX]

WACV 2025

Event-guided Low-light Video Semantic Segmentation

Zhen Yao, Mooi Choo Chuah
TL;DR: We propose EVSNet, a lightweight framework that introduces event modality to guide the learning of a unified illumination-invariant representation and it outperforms SOTA methods with up to 11× higher parameter efficiency.
[Paper] | [arXiv] | [BibTeX]

arXiv 2025

Learning Flow-Guided Registration for RGB-Event Semantic Segmentation

Zhen Yao, Xiaowen Ying, Zhiyu Zhu, Mooi Choo Chuah
TL;DR: We recast RGB-Event segmentation from fusion to registration via a novel flow-guided registration-centric framework and introduce a new Motion-enhanced Event Tensor (MET) representation, mitigating spatiotemporal and modal misalignments.
[Paper] | [Code] | [arXiv] | [BibTeX]

talks

UC San Francisco, Department of Testing

Talk 1 on Relevant Topic in Your Field

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UC-Berkeley Institute for Testing Science

Tutorial 1 on Relevant Topic in Your Field

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London School of Testing

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Testing Institute of America 2014 Annual Conference

Conference Proceeding talk 3 on Relevant Topic in Your Field

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teaching