Papers
Adversarial Attacks on Event-Based Pedestrian Detectors: A Physical Approach
Guixu Lin, Muyao Niu, Qingtian Zhu et al.
Adversarial Contrastive Graph Augmentation with Counterfactual Regularization
Tao Long, Lei Zhang, Liang Zhang et al.
Adversarial Contrastive Graph Masked AutoEncoder Against Graph Structure and Feature Dual Attacks
Weixuan Shen, Xiaobo Shen, Shirui Pan
Adversarial-Inspired Backdoor Defense via Bridging Backdoor and Adversarial Attacks
Jia-Li Yin, Weijian Wang, Lyhwa et al.
Adversarial Learning Under Hybrid Perturbations for Robust Acute Lymphoblastic Leukemia Classification
Jie Chen, Xinyuan Liu, Xintong Liu et al.
Adversity-aware Few-shot Named Entity Recognition via Augmentation Learning
Li Huang, Haowen Liu, Qiang Gao et al.
AE-NeRF: Augmenting Event-Based Neural Radiance Fields for Non-ideal Conditions and Larger Scenes
Chaoran Feng, Wangbo Yu, Xinhua Cheng et al.
Aerodynamic Coefficients Prediction via Cross-Attention Fusion and Physical-Informed Training
Yueqing Wang, Peng Zhang, Yushuang Liu et al.
AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries
Pengwei Liu, Pengkai Wang, Xingyu Ren et al.
Affirm: Interactive Mamba with Adaptive Fourier Filters for Long-term Time Series Forecasting
Yuhan Wu, Xiyu Meng, Huajin Hu et al.
Affordances-Oriented Planning Using Foundation Models for Continuous Vision-Language Navigation
Jiaqi Chen, Bingqian Lin, Xinmin Liu et al.
AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images
Yihang Liu, Lianghua He, Ying Wen et al.
Against All Odds: Overcoming Typology, Script, and Language Confusion in Multilingual Embedding Inversion Attacks
Yiyi Chen, Russa Biswas, Heather Lent et al.
A Gaussian Filter-Based 3D Registration Method for Series Section Electron Microscopy
Zhenbang Zhang, Hongjia Li, Zhiqiang Xu et al.
A Generalizable Anomaly Detection Method in Dynamic Graphs
Xiao Yang, Xuejiao Zhao, Zhiqi Shen
A Generative Approach at the Instance-Level for Image Segmentation Under Limited Training Data Conditions (Student Abstract)
Thanh-Danh Nguyen, Vinh-Tiep Nguyen, Tam V. Nguyen
Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems
Weibo Gao, Qi Liu, Linan Yue et al.
Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning
Yaoquan Wei, Shunyu Liu, Jie Song et al.
Agentic AI for Digital Twin
Alexander Timms, Abigail Langbridge, Antonis Antonopoulos et al.
AgentMixer: Multi-Agent Correlated Policy Factorization
Zhiyuan Li, Wenshuai Zhao, Lijun Wu et al.
Agent Trajectory Explorer: Visualizing and Providing Feedback on Agent Trajectories
Michael Desmond, Ja Young Lee, Ibrahim Ibrahim et al.
AGFSync: Leveraging AI-Generated Feedback for Preference Optimization in Text-to-Image Generation
Jingkun An, Yinghao Zhu, Zongjian Li et al.
AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement
Yunlong Lin, Tian Ye, Sixiang Chen et al.
AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification
Weigang Lu, Ziyu Guan, Wei Zhao et al.