activity
20242026
most citedCrackNex: a Few-shot Low-light Crack Segmentation Model Based on Retinex Theory for UAV Inspections

16 citations · 22 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

ReVA: A Scene-Centric Dataset Beyond Repetition for Remote Sensing Video Question Answering

Zhen Yao, Likai Wang, Yuming Yang +9

Multimodal Large Language Models (MLLMs) have demonstrated remarkable advances in remote sensing. However, existing remote sensing multimodal reasoning benchmarks exhibit two criti…

cs.CV2026

DiSa: Saliency-Aware Foreground-Background Disentangled Framework for Open-Vocabulary Semantic Segmentation

Zhen Yao, Xin Li, Taotao Jing +2

Open-vocabulary semantic segmentation aims to assign labels to every pixel in an image based on text labels. Existing approaches typically utilize vision-language models (VLMs), su…

cs.CV2025

Learning Flow-Guided Registration for RGB-Event Semantic Segmentation

Zhen Yao, Xiaowen Ying, Zhiyu Zhu +1

Event cameras capture microsecond-level motion cues that complement RGB sensors. However, the prevailing paradigm of treating RGB-Event perception as a fusion problem is ill-posed,…

cs.CV2024★ 6 cited

Event-guided Low-light Video Semantic Segmentation

Zhen Yao, Mooi Choo Chuah

Recent video semantic segmentation (VSS) methods have demonstrated promising results in well-lit environments. However, their performance significantly drops in low-light scenarios…

cs.CV2024★ 16 cited

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

Zhen Yao, Jiawei Xu, Shuhang Hou +1

Routine visual inspections of concrete structures are imperative for upholding the safety and integrity of critical infrastructure. Such visual inspections sometimes happen under l…