Papers
8,127 papers found
Volumetric Axial Disentanglement Enabling Advancing in Medical Image Segmentation
Xingru Huang, Jian Huang, Yihao Guo et al.
VQCounter: Designing Visual Prompt Queue for Accurate Open-World Counting
Fanfan Ye, Yiqi Fan, Qiaoyong Zhong et al.
VRD-IU: Lessons from Visually Rich Document Intelligence and Understanding
Yihao Ding, Soyeon Caren Han, Yan Li et al.
Wave-driven Graph Neural Networks with Energy Dynamics for Over-smoothing Mitigation
Peihan Wu, Hongda Qi, Sirong Huang et al.
Wavelet Multi-scale Region-Enhanced Network for Medical Image Segmentation
Hang Lu, Liang Du, Peng Zhou
Wave-wise Discriminative Tracking by Phase-Amplitude Separation, Augmentation and Mixture
Huibin Tan, Mingyu Cao, Kun Hu et al.
WDMIR: Wavelet-Driven Multimodal Intent Recognition
Weiyin Gong, Kai Zhang, Yanghai Zhang et al.
Weakly-supervised Audio Temporal Forgery Localization via Progressive Audio-language Co-learning Network
Junyan Wu, Wenbo Xu, Wei Lu et al.
Weakly-Supervised Movie Trailer Generation Driven by Multi-Modal Semantic Consistency
Sidan Zhu, Yutong Wang, Hongteng Xu et al.
Weather Foundation Model Enhanced Decentralized Photovoltaic Power Forecasting Through Spatio-temporal Knowledge Distillation
Fang He, Jiaqi Fan, Yang Deng et al.
WenyanGPT: A Large Language Model for Classical Chinese Tasks
Xinyu Yao, Mengdi Wang, Bo Chen et al.
What Can We Learn From MIMO Graph Convolutions?
Andreas Roth, Thomas Liebig
What If LLMs Can Smell: A Prototype
Xueyi Zhou, Qi Lu, Dong-Kyu Chae
What is Behind Homelessness Bias? Using LLMs and NLP to Mitigate Homelessness by Acting on Social Stigma
Jonathan A. Karr Jr., Emory Smith, Matthew Hauenstein et al.
What is Beneath Misogyny: Misogynous Memes Classification and Explanation
Kushal Kanwar, Dushyant Singh Chauhan, Gopendra Vikram Singh et al.
What Makes You Special? Contrastive Heuristics Based on Qualified Dominance
Rasmus G. Tollund, Kim G. Larsen, Alvaro Torralba
Where and How to Enhance: Discovering Bit-Width Contribution for Mixed Precision Quantization
Haidong Kang, Lianbo Ma, Guo Yu et al.
Where and When: Predict Next POI and Its Explicit Timestamp in Sequential Recommendation
Yuanbo Xu, Hongxu Shen, Yiheng Jiang et al.
Where Does This Data Come From? Enhanced Source Inference Attacks in Federated Learning
Haiyang Chen, Xiaolong Xu, Xiang Zhu et al.
Why the Agent Made that Decision: Contrastive Explanation Learning for Reinforcement Learning
Rui Zuo, Simon Khan, Zifan Wang et al.
Wisdom from Diversity: Bias Mitigation Through Hybrid Human-LLM Crowds
Axel Abels, Tom Lenaerts
Witnesses for Answer Sets of Basic Logic Programs
Yisong Wang, Xianglong Wang, Zhongtao Xie et al.
Words Over Pixels? Rethinking Vision in Multimodal Large Language Models
Anubhooti Jain, Mayank Vatsa, Richa Singh
Wrapped Partial Label Dimensionality Reduction via Dependence Maximization
Xiang-Ru Yu, Deng-Bao Wang, Min-Ling Zhang
X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learning
Hiroki Shiraishi, Hisao Ishibuchi, Masaya Nakata