Papers
10,599 papers found
BioDPP: Dynamic Prompt Policy Learning for Biomedical Vision-Language Models
Pingyi Miao, Xianlai Chen, Kai Sun et al.
Next Patch Prediction for AutoRegressive Visual Generation
Yatian Pang, Peng Jin, Shuo Yang et al.
Ego-PMOVE: Prompt-aware Mixture of View Experts Network for Egocentric Gaze Prediction
Heqian Qiu, Lanxiao Wang, Taijin Zhao et al.
vMFCoOp: Towards Equilibrium on a Unified Hyperspherical Manifold for Prompting Biomedical VLMs
Minye Shao, Sihan Guo, Xinrun Li et al.
PGMamba: A Physical Model-Guided Global Mamba for Underwater Image Enhancement
Zijun Tan, Chuan Fu, Tan Guo et al.
SOMA: Feature Gradient Enhanced Affine-Flow Matching for SAR-Optical Registration
Haodong Wang, Tao Zhuo, Xiuwei Zhang et al.
MoEA-Net: Modality-Incremental Expert Aggregation Network for Retinal Prognostic Prediction
Hua Wang, Xiaodan Zhang, Yanzhao Shi et al.
ObjecTok: Learning Holistic and Robust Object Tokens for MLLMs
Sihan Wang, Xiyao Liu, Lianqing Liu et al.
SODiff：Semantic-Oriented Diffusion Model for JPEG Compression Artifacts Removal
Tingyu Yang, Jue Gong, Jinpei Guo et al.
MUSE: Multi-Scale Dense Self-Distillation for Nucleus Detection and Classification
Zijiang Yang, Hanqing Chao, Bokai Zhao et al.
DSFedMed: Dual-Scale Federated Medical Image Segmentation via Mutual Distillation Between Foundation and Lightweight Models
Hanwen Zhang, Qiaojin Shen, Yuxi Liu et al.
SAQ-SAM: Semantically-Aligned Quantization for Segment Anything Model
Jing Zhang, Zhikai Li, Chengzhi Hu et al.
Universal Adversarial Purification with DDIM Metric Loss for Stable Diffusion
Li Zheng, Liangbin Xie, Jiantao Zhou et al.
Preserving Topological and Geometric Embeddings for Point Cloud Recovery
Kaiyue Zhou, Zelong Tan, Hongxiao Wang et al.
Hierarchical Schedule Optimization for Fast and Robust Diffusion Model Sampling
Aihua Zhu, Rui Su, Qinglin Zhao et al.
Cubing for Tuning
Haoze Wu, Clark Barrett, Nina Narodytska
ARDiff: Anisotropic Residual Diffusion for Heterogeneous Graph Learning
Yong Chen, Li Li, Nannan Zong et al.
Intermediate N-Gramming: Deterministic and Fast N-Grams for Large N and Large Datasets
Ryan R. Curtin, Fred Lu, Edward Raff et al.
Subgraph Encoding with Bicentric Sphere Node Labeling and Pooling for Link Prediction
Zhihong Fang, Shaolin Tan, Qiu Fang et al.
LLM-Aligned Geographic Item Tokenization for Local-Life Recommendation
Hao Jiang, Guoquan Wang, Donglin Zhou et al.
UniHR: Hierarchical Representation Learning for Unified Knowledge Graph Link Prediction
Zhiqiang Liu, Yin Hua, Mingyang Chen et al.
Task-Aware Retrieval Augmentation for Dynamic Recommendation
Zhen Tao, Xinke Jiang, Qingshuai Feng et al.
Bipartite Mode Matching for Vision Training Set Search from a Hierarchical Data Server
Yue Yao, Ruining Yang, Tom Gedeon
Knowledge-Enhanced Explainable Hypergraph Convolution Network for Medication Recommendation
Zihan Zhang, Hongzhi Liu, Xiaoshuang Guo et al.