Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre for Quantum TechnologiesSG2.2k papers
- Nanyang Technological UniversitySG766 papers
- Centre National de la Recherche ScientifiqueFR461 papers
- University of OxfordGB416 papers
- Agency for Science, Technology and ResearchSG364 papers
- UMI MajuLabSG344 papers
- Université Bourgogne Franche-ComtéFR220 papers
- University of Science and Technology of ChinaCN219 papers
- Singapore University of Technology and DesignSG206 papers
- Chinese Academy of SciencesCN195 papers
- Institute of High Performance ComputingSG148 papers
- Yale-NUS CollegeSG147 papers
421 papers · 1 filter
Benchmarking the Robustness of Autonomous Driving to Environmental Illusions: A Lane Perception Perspective
Tianyuan Zhang, Xianglong Liu, Aishan Liu +6
Environmental illusions (eg., shadows, reflections, and tire marks) are naturally existing yet overlooked phenomena in real-world driving environments. They can disturb visual perc…
City landscape in sight: A crowdsourced framework for unlocking urban-scale window view perceptions from real estate imagery
Chucai Peng, Sijie Yang, Ang Liu +3
City landscapes viewed through home windows influence quality of life, yet perceptions of actual window views at the urban scale remain understudied. This study presents an approac…
SSMamba: A Self-Supervised Hybrid State Space Model for Pathological Image Classification
Enhui Chai, Sicheng Chen, Tianyi Zhang +2
Pathological diagnosis is highly reliant on image analysis, where Regions of Interest (ROIs) serve as the primary basis for diagnostic evidence, while whole-slide image (WSI)-level…
3D Reconstruction Techniques in the Manufacturing Domain: Applications, Research Opportunities and Use Cases
Chialoon Cheng, Kaijun liu, Zhiyang Liu +1
This comprehensive review examines the evolution and the current state of the art in three-dimensional (3D) reconstruction techniques in manufacturing applications. The analysis co…
MoonAnything: A Vision Benchmark with Large-Scale Lunar Supervised Data
Clémentine Grethen, Yuang Shi, Simone Gasparini +1
Accurate perception of lunar surfaces is critical for modern lunar exploration missions. However, developing robust learning-based perception systems is hindered by the lack of dat…
It is not always greener on the other side: Greenery perception across demographics and personalities in multiple cities
Matias Quintana, Fangqi Liu, Jussi Torkko +9
Quantifying and assessing urban greenery is consequential for planning and development, reflecting the everlasting importance of green spaces for multiple climate and well-being di…
BrepLLM: Enabling Large Language Models to Understand Boundary Representations
Liyuan Deng, Hao Guo, Yongkang Dai +5
Current token-sequence-based Large Language Models (LLMs) struggle to directly process 3D Boundary Representation (B-rep) models that contain complex geometric and topological info…
Mapping the Vanishing and Transformation of Urban Villages in China
Wenyu Zhang, Yao Tong, Yiqiu Liu +1
Urban villages (UVs), informal settlements embedded within China's urban fabric, have undergone widespread demolition and redevelopment in recent decades. However, there remains a…
Enhancing Fake News Video Detection via LLM-Driven Creative Process Simulation
Yuyan Bu, Qiang Sheng, Juan Cao +4
The emergence of fake news on short video platforms has become a new significant societal concern, necessitating automatic video-news-specific detection. Current detectors primaril…
LEAF-Mamba: Local Emphatic and Adaptive Fusion State Space Model for RGB-D Salient Object Detection
Lanhu Wu, Zilin Gao, Hao Fei +2
RGB-D salient object detection (SOD) aims to identify the most conspicuous objects in a scene with the incorporation of depth cues. Existing methods mainly rely on CNNs, limited by…
LMOD+: A Comprehensive Multimodal Dataset and Benchmark for Developing and Evaluating Multimodal Large Language Models in Ophthalmology
Zhenyue Qin, Yang Liu, Yu Yin +13
Vision-threatening eye diseases pose a major global health burden, with timely diagnosis limited by workforce shortages and restricted access to specialized care. While multimodal…
Encoder-Only Image Registration
Xiang Chen, Renjiu Hu, Jinwei Zhang +5
Learning-based techniques have significantly improved the accuracy and speed of deformable image registration. However, challenges such as reducing computational complexity and han…
MV-SSM: Multi-View State Space Modeling for 3D Human Pose Estimation
Aviral Chharia, Wenbo Gou, Haoye Dong
While significant progress has been made in single-view 3D human pose estimation, multi-view 3D human pose estimation remains challenging, particularly in terms of generalizing to…
AEGIS: Authenticity Evaluation Benchmark for AI-Generated Video Sequences
Jieyu Li, Xin Zhang, Joey Tianyi Zhou
Recent advances in AI-generated content have fueled the rise of highly realistic synthetic videos, posing severe risks to societal trust and digital integrity. Existing benchmarks…
DisFaceRep: Representation Disentanglement for Co-occurring Facial Components in Weakly Supervised Face Parsing
Xiaoqin Wang, Xianxu Hou, Meidan Ding +4
Face parsing aims to segment facial images into key components such as eyes, lips, and eyebrows. While existing methods rely on dense pixel-level annotations, such annotations are…
Endoscopic Depth Estimation Based on Deep Learning: A Survey
Ke Niu, Zeyun Liu, Xue Feng +5
Endoscopic depth estimation is a critical technology for improving the safety and precision of minimally invasive surgery. It has attracted considerable attention from researchers…
Decoupled Seg Tokens Make Stronger Reasoning Video Segmenter and Grounder
Dang Jisheng, Wu Xudong, Wang Bimei +7
Existing video segmenter and grounder approaches, exemplified by Sa2VA, directly fuse features within segmentation models. This often results in an undesirable entanglement of dyna…
Manager: Aggregating Insights from Unimodal Experts in Two-Tower VLMs and MLLMs
Xiao Xu, Libo Qin, Wanxiang Che +1
Two-Tower Vision--Language Models (VLMs) have demonstrated strong performance across various downstream VL tasks. While BridgeTower further enhances performance by building bridges…
Enhancing Biomedical Multi-modal Representation Learning with Multi-scale Pre-training and Perturbed Report Discrimination
Xinliu Zhong, Kayhan Batmanghelich, Li Sun
Vision-language models pre-trained on large scale of unlabeled biomedical images and associated reports learn generalizable semantic representations. These multi-modal representati…
NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation
Xuzhi Wang, Wei Feng, Lingdong Kong +1
LiDAR semantic segmentation plays a vital role in autonomous driving. Existing voxel-based methods for LiDAR semantic segmentation apply uniform partition to the 3D LiDAR point clo…
Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification
Xinliu Zhong, Leo Hwa Liang, Angela S. Koh +1
Traditional diagnostic methods like colonoscopy are invasive yet critical tools necessary for accurately diagnosing colorectal cancer (CRC). Detection of CRC at early stages is cru…
Global urban visual perception varies across demographics and personalities
Matias Quintana, Youlong Gu, Xiucheng Liang +5
Understanding people's preferences is crucial for urban planning, yet current approaches often combine responses from multi-cultural populations, obscuring demographic differences…
Unveiling Hidden Vulnerabilities in Digital Human Generation via Adversarial Attacks
Zhiying Li, Yeying Jin, Fan Shen +9
Expressive human pose and shape estimation (EHPS) is crucial for digital human generation, especially in applications like live streaming. While existing research primarily focuses…
FractalForensics: Proactive Deepfake Detection and Localization via Fractal Watermarks
Tianyi Wang, Harry Cheng, Ming-Hui Liu +1
Proactive Deepfake detection via robust watermarks has seen interest ever since passive Deepfake detectors encountered challenges in identifying high-quality synthetic images. Howe…