Paper Papers
5,546 papers found • Page 14 of 111
Curriculum Conditioned Diffusion for Multimodal Recommendation
Yimeng Yang, Haokai Ma, Lei Meng et al.
CustomContrast: A Multilevel Contrastive Perspective for Subject-Driven Text-to-Image Customization
Nan Chen, Mengqi Huang, Zhuowei Chen et al.
CustomCrafter: Customized Video Generation with Preserving Motion and Concept Composition Abilities
Tao Wu, Yong Zhang, Xintao Wang et al.
CustomTTT: Motion and Appearance Customized Video Generation via Test-Time Training
Xiuli Bi, Jian Lu, Bo Liu et al.
CVLUE: A New Benchmark Dataset for Chinese Vision-Language Understanding Evaluation
Yuxuan Wang, Yijun Liu, Fei Yu et al.
CyberPal.AI: Empowering LLMs with Expert-Driven Cybersecurity Instructions
Matan Levi, Yair Allouche, Daniel Ohayon et al.
Cycle3D: High-quality and Consistent Image-to-3D Generation via Generation-Reconstruction Cycle
Zhenyu Tang, Junwu Zhang, Xinhua Cheng et al.
D^2-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models
Qian Zeng, Jie Song, Han Zheng et al.
DABL: Detecting Semantic Anomalies in Business Processes Using Large Language Models
Wei Guan, Jian Cao, Jianqi Gao et al.
DAMMFND: Domain-Aware Multimodal Multi-view Fake News Detection
Weihai Lu, Yu Tong, Zhiqiu Ye
DAMPER: A Dual-Stage Medical Report Generation Framework with Coarse-Grained MeSH Alignment and Fine-Grained Hypergraph Matching
Xiaofei Huang, Wenting Chen, Jie Liu et al.
DanceFix: An Exploration in Group Dance Neatness Assessment Through Fixing Abnormal Challenges of Human Pose
Huangbiao Xu, Xiao Ke, Huanqi Wu et al.
DAPoinTr: Domain Adaptive Point Transformer for Point Cloud Completion
Yinghui Li, Qianyu Zhou, Jingyu Gong et al.
DARR: A Dual-Branch Arithmetic Regression Reasoning Framework for Solving Machine Number Reasoning
Chengtai Li, Yee Yang Tan, Yuting He et al.
DASK: Distribution Rehearsing via Adaptive Style Kernel Learning for Exemplar-Free Lifelong Person Re-Identification
Kunlun Xu, Chenghao Jiang, Peixi Xiong et al.
Data Augmentation for Instruction Following Policies via Trajectory Segmentation
Niklas Hoepner, Ilaria Tiddi, Herke van Hoof
Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation
Xinge Ma, Jin Wang, Xuejie Zhang
Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep Models
YangTian Yan, Jinyu Tian
DCA: Dividing and Conquering Amnesia in Incremental Object Detection
Aoting Zhang, Dongbao Yang, Chang Liu et al.
DCC: Differentiable Cardinality Constraints for Partial Index Tracking
Wooyeon Jo, Hyunsouk Cho
DCHM: Dynamic Collaboration of Heterogeneous Models Through Isomerism Learning in a Blockchain-Powered Federated Learning Framework
Zhihao Hao, Bob Zhang, Haisheng Li
DCILP: A Distributed Approach for Large-Scale Causal Structure Learning
Shuyu Dong, Michele Sebag, Kento Uemura et al.
DC-PCN: Point Cloud Completion Network with Dual-Codebook Guided Quantization
Qiuxia Wu, Haiyang Huang, Kunming Su et al.
DCSF-KD: Dynamic Channel-wise Spatial Feature Knowledge Distillation for Object Detection
Tao Dai, Yang Lin, Hang Guo et al.
DCTMamba: Advancing JPEG Image Restoration Through Long-Sequence Modeling and Adaptive Frequency Strategy
Xi Wang, Xueyang Fu, Liang Li et al.
DDJND: Dual Domain Just Noticeable Difference in Multi-Source Content Images with Structural Discrepancy
Miaohui Wang, Zhenming Li, Wuyuan Xie
DearLLM: Enhancing Personalized Healthcare via Large Language Models-Deduced Feature Correlations
Yongxin Xu, Xinke Jiang, Xu Chu et al.
Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models
Jie Ma, Zhitao Gao, Qi Chai et al.
Debiased Active Learning with Variational Gradient Rectifier
Weiguo Chen, Changjian Wang, Shijun Li et al.
Debiased All-in-one Image Restoration with Task Uncertainty Regularization
Gang Wu, Junjun Jiang, Yijun Wang et al.
Debiased Distillation for Consistency Regularization
Lu Wang, Liuchi Xu, Xiong Yang et al.
Debiased Multimodal Understanding for Human Language Sequences
Zhi Xu, Dingkang Yang, Mingcheng Li et al.
Decentralized and Uncoordinated Learning of Stable Matchings: A Game-Theoretic Approach
S. Rasoul Etesami, R. Srikant
Decentralized Convergence to Equilibrium Prices in Trading Networks
Edwin Lock, Benjamin Patrick Evans, Eleonora Kreacic et al.
Decentralized Federated Learning with Model Caching on Mobile Agents
Xiaoyu Wang, Guojun Xiong, Houwei Cao et al.
Decentralized Projected Riemannian Stochastic Recursive Momentum Method for Nonconvex Optimization
Kangkang Deng, Jiang Hu
DECIDER: Difference-aware Contrastive Diffusion Model with Adversarial Perturbations for Image Change Captioning
Guojin Zhong, Jinhong Hu, Jiajun Chen et al.
Decomposed Quadratization: Efficient QUBO Formulation for Learning Bayesian Network
Yuta Shikuri
Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction
Sicheng He, Junzhong Ji, Minglong Lei
Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition
Haoyu Xie, Haoxuan Li, Chunyuan Zheng et al.
Deconfound Semantic Shift and Incompleteness in Incremental Few-shot Semantic Segmentation
Yirui Wu, Yuhang Xia, Hao Li et al.
DeCorrNet: Enhancing Neural Decoding Performance by Eliminating Correlations in Noise
Xianhan Tan, Yu Qi, Yueming Wang
Decoupled Policy Actor-Critic: Bridging Pessimism and Risk Awareness in Reinforcement Learning
Michal Nauman, Marek Cygan
Decoupled Spatio-Temporal Consistency Learning for Self-Supervised Tracking
Yaozong Zheng, Bineng Zhong, Qihua Liang et al.
Decoupling Appearance Variations with 3D Consistent Features in Gaussian Splatting
Jiaqi Lin, Zhihao Li, Binxiao Huang et al.
Decoupling Metacognition from Cognition: A Framework for Quantifying Metacognitive Ability in LLMs
Guoqing Wang, Wen Wu, Guangze Ye et al.
Decoupling Scattering: Pseudo-Label Guided NeRF for Scenes with Scattering Media
Mingyang Zhang, Junkang Zhang, Faming Fang et al.
DECT: Harnessing LLM-assisted Fine-Grained Linguistic Knowledge and Label-Switched and Label-Preserved Data Generation for Diagnosis of Alzheimer’s Disease
Tingyu Mo, Jacqueline C. K. Lam, Victor O. K. Li et al.
Deep Disentangled Metric Learning
Jinhee Park, Jisoo Park, Dagyeong Na et al.
Deep Evidential Hashing for Trustworthy Cross-Modal Retrieval
Yuan Li, Liangli Zhen, Yuan Sun et al.