Papers
184,605 papers found
DexGraspVLA: A Vision-Language-Action Framework Towards General Dexterous Grasping
Yifan Zhong, Xuchuan Huang, Ruochong Li et al.
Dexterous Manipulation Transfer via Progressive Kinematic-Dynamic Alignment
Wenbin Bai, Qiyu Chen, Xiangbo Lin et al.
DFAgent: From Natural Language Data Interactions to Reusable Agent-Ready Tools
Neelamadhav Gantayat, Renuka Sindhgatta, Sambit Ghosh et al.
D-FCGS: Feedforward Compression of Dynamic Gaussian Splatting for Free-Viewpoint Videos
Wenkang Zhang, Yan Zhao, Qiang Wang et al.
DFDT: Dynamic Fast Decision Tree for IoT Data Stream Mining on Edge Devices
Afonso Lourenço, João Rodrigo, João Gama et al.
DF-Mamba: Deformable State Space Modeling for 3D Hand Pose Estimation in Interactions
Yifan Zhou, Takehiko Ohkawa, Guwenxiao Zhou et al.
DFMN: A Dual-feet Matching Network with Hybrid Transformer-based Feature Extractor for Unsupervised Deformable Medical Image Registration
Liwen Li, Xinrui Guo, Wentao Guo et al.
DFPE: A Diverse Fingerprint Ensemble for Enhancing LLM Performance
Seffi Cohen, Nurit Cohen Inger, Niv Goldshlager et al.
DF-RAG: Query-Aware Diversity for Retrieval-Augmented Generation
Saadat Hasan Khan, Spencer Hong, Jingyu Wu et al.
DFRec: Dual Fluctuation Modeling of Multi-level Intent Evolution for Next-Item Recommendation
Nengjun Zhu, Lingdan Sun, Qi Zhang et al.
D-GARA: A Dynamic Benchmarking Framework for GUI Agent Robustness in Real-World Anomalies
Sen Chen, Tong Zhao, Yi Bin et al.
DGKAN: Dual-branch Graph Kolmogorov-Arnold Network for Unsupervised Multimodal Change Detection
Tongfei Liu, Jianjian Xu, Tao Lei et al.
DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs
Yuan Li, Jun Hu, Bryan Hooi et al.
DGSAN: Dual-Graph Spatiotemporal Attention Network for Pulmonary Nodule Malignancy Prediction
Xiao Yu, Zhaojie Fang, Guanyu Zhou et al.
DGTF: Cross-Domain Decentralized Graph Learning with Topology-Aware Knowledge Fusion
Ruisheng Zheng, Mingyi Li, Xiao Zhang et al.
DHMRec: Collaboration-Guided Multimodal Disentanglement and Hierarchical Fusion for Recommendation
Xiaohan Zhan, Yuliang Shi, Jihu Wang et al.
DHPLT: large-scale multilingual diachronic corpora and word representations for semantic change modelling
Mariia Fedorova, Andrey Kutuzov, Khonzoda Umarova
DIAA: A Decoding-Efficient Inference Acceleration Approach for On-Device Large Language Models
Hao Tian, Sheng Lu, Fuwen Tian et al.
Diagnose Like A REAL Pathologist: An Uncertainty-Focused Approach for Trustworthy Multi-Resolution Multiple Instance Learning
Sungrae Hong, Sol Lee, Jisu Shin et al.
Diagnosing Vision Language Models’ Perception by Leveraging Human Methods for Color Vision Deficiencies
Kazuki Hayashi, Shintaro Ozaki, Yusuke Sakai et al.
Diagnosis of Dysarthria Severity and Explanation Generation Using XAI-Enhanced CLINIC-GENIE on Diadochokinetic Tasks
Jihyeon Kim, Insung Lee, Myoung-Wan Koo
Diagnostic-Guided Dynamic Profile Optimization for LLM-based User Simulators in Sequential Recommendation
Hongyang Liu, Zhu Sun, Tianjun Wei et al.
DiA-gnostic VLVAE: Disentangled Alignment-Constrained Vision Language Variational AutoEncoder for Robust Radiology Reporting with Missing Modalities
Nagur Shareef Shaik, Teja Krishna Cherukuri, Adnan Masood et al.
DiagramGPT-Llama3:Enabling Editable, High-Fidelity Diagram Generation with Vision Large Language Models
Yongyuan Chen, Minjie Hong, Boxi Wu et al.