87 citations · 117 across the 13 of their papers we have counts for
15 papers
Social-WM: Safety-Aware Latent World Models for Robot Social Navigation
Zhihao Zheng, Mooi Choo Chuah
Safe social navigation requires a robot to anticipate not only the future consequences of its actions, but also whether a nominal action can actually be executed under surrounding…
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…
Evaluation of Winning Solutions of 2025 Low Power Computer Vision Challenge
Zihao Ye, Yung-Hsiang Lu, Xiao Hu +14
The IEEE Low-Power Computer Vision Challenge (LPCVC) aims to promote the development of efficient vision models for edge devices, balancing accuracy with constraints such as latenc…
PredMapNet: Future and Historical Reasoning for Consistent Online HD Vectorized Map Construction
Bo Lang, Nirav Savaliya, Zhihao Zheng +3
High-definition (HD) maps are crucial to autonomous driving, providing structured representations of road elements to support navigation and planning. However, existing query-based…
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…
Is Perturbation-Based Image Protection Disruptive to Image Editing?
Qiuyu Tang, Bonor Ayambem, Mooi Choo Chuah +1
The remarkable image generation capabilities of state-of-the-art diffusion models, such as Stable Diffusion, can also be misused to spread misinformation and plagiarize copyrighted…
Design and Evaluation of Generative Agent-based Platform for Human-Assistant Interaction Research: A Tale of 10 User Studies
Ziyi Xuan, Yiwen Wu, Xuhai Xu +3
Designing and evaluating personalized and proactive assistant agents remains challenging due to the time, cost, and ethical concerns associated with human-in-the-loop experimentati…
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,…
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…
Latent Disentanglement for Low Light Image Enhancement
Zhihao Zheng, Mooi Choo Chuah
Many learning-based low-light image enhancement (LLIE) algorithms are based on the Retinex theory. However, the Retinex-based decomposition techniques in such models introduce corr…
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…
GRIP++: Enhanced Graph-based Interaction-aware Trajectory Prediction for Autonomous Driving
Xin Li, Xiaowen Ying, Mooi Choo Chuah
Despite the advancement in the technology of autonomous driving cars, the safety of a self-driving car is still a challenging problem that has not been well studied. Motion predict…
DAC: Data-free Automatic Acceleration of Convolutional Networks
Xin Li, Shuai Zhang, Bolan Jiang +3
Deploying a deep learning model on mobile/IoT devices is a challenging task. The difficulty lies in the trade-off between computation speed and accuracy. A complex deep learning mo…
Recurrent Neural Networks based Obesity Status Prediction Using Activity Data
Qinghan Xue, Xiaoran Wang, Samuel Meehan +3
Obesity is a serious public health concern world-wide, which increases the risk of many diseases, including hypertension, stroke, and type 2 diabetes. To tackle this problem, resea…
ReHAR: Robust and Efficient Human Activity Recognition
Xin Li, Mooi Choo Chuah
Designing a scheme that can achieve a good performance in predicting single person activities and group activities is a challenging task. In this paper, we propose a novel robust a…