Papers
12,510 papers found
Multigranular Evaluation for Brain Visual Decoding
Weihao Xia, Cengiz Oztireli
TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolution
Zhikai Zhao, Chuanbo Hua, Federico Berto et al.
CAT-Net: A Cross-Attention Tone Network for Cross-Subject EEG-EMG Fusion Tone Decoding
Yifan Zhuang, Calvin Huang, Zepeng Yu et al.
PEOD: A Pixel-Aligned Event-RGB Benchmark for Object Detection Under Challenging Conditions
Luoping Cui, Hanqing Liu, Mingjie Liu et al.
Indoor Multi-View Radar Object Detection via 3D Bounding Box Diffusion
Ryoma Yataka, Pu (Perry) Wang, Petros Boufounos et al.
Argumentative Debates for Transparent Bias Detection
Hamed Ayoobi, Nico Potyka, Anna Rapberger et al.
Formal Verification of Diffusion Auctions
Rustam Galimullin, Munyque Mittelmann, Laurent Perrussel
Robust Lazy Conflict Detection via Multi-Conflict Extraction and Genetic Diversity Control
Viet-Man Le, Lukas André Feldgrill, Alexander Felfernig
HyperGOOD: Towards Out-of-Distribution Detection in Hypergraphs
Tingyi Cai, Yunliang Jiang, Ming Li et al.
HeadHunt-VAD: Hunting Robust Anomaly-Sensitive Heads in MLLM for Tuning-Free Video Anomaly Detection
Zhaolin Cai, Fan Li, Ziwei Zheng et al.
Towards Multiple Missing Values-resistant Unsupervised Graph Anomaly Detection
Jiazhen Chen, Xiuqin Liang, Sichao Fu et al.
Spatial-Frequency Spiking Neural Network for Underwater Object Detection
Long Chen, Wei Miao, Xin Gao et al.
Active Multi-source Domain Adaptation for Multimodal Fake News Detection
Yanping Chen, Weijie Shi, Mengze Li et al.
SchellingFormer: Laplacian Matrix-guided Geometric Transformer for Robust Schelling Point Detection
Yihao Chen, Haobo Jiang, Liang Yu et al.
Detecting Unobserved Confounders: A Kernelized Regression Approach
Yikai Chen, Yunxin Mao, Chunyuan Zheng et al.
Learning Whom to Align With: Progressive Anomaly Combination Detection for Partially View-Aligned Clustering
Hang Gao, Zuosong Cai, Yuze Li et al.
SineLoRA∆: Sine-Activated Delta Compression
Cameron Gordon, Yiping Ji, Hemanth Saratchandran et al.
Poisoning with a Pill: Circumventing Detection in Federated Learning
Hanxi Guo, Hao Wang, Tao Song et al.
Harnessing Vision-Language Models for Time Series Anomaly Detection
Zelin He, Sarah Alnegheimish, Matthew Reimherr
Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models
Zhixia He, Chen Zhao, Minglai Shao et al.
Graph Out-of-Distribution Detection via Test-Time Calibration with Dual Dynamic Dictionaries
Yue Hou, Ruomei Liu, Yingke Su et al.
Function-on-Function Bayesian Optimization
Jingru Huang, Haijie Xu, Manrui Jiang et al.
Detecting the Future: All-at-Once Event Sequence Forecasting with Horizon Matching
Ivan Karpukhin, Andrey Savchenko
Step-by-step Layered Design Generation
Faizan Farooq Khan, Joseph K J, Koustava Goswami et al.