Papers
20,003 papers found
Dream-IF: Dynamic Relative EnhAnceMent for Image Fusion
Xingxin Xu, Bing Cao, Dongdong Li et al.
DreamRunner: Fine-Grained Compositional Story-to-Video Generation with Retrieval-Augmented Motion Adaptation
Zun Wang, Jialu Li, Han Lin et al.
DR.Experts: Differential Refinement of Distortion-Aware Experts for Blind Image Quality Assessment
Bohan Fu, Guanyi Qin, Fazhan Zhang et al.
DRFGD: Disentangled Representation-Focused Generative Defense for Attack-Tolerant Cross-Modal Hashing
Zhongqing Yu, Xin Liu, Yiu-ming Cheung et al.
Drift-aware Collaborative Assistance Mixture of Experts for Heterogeneous Multistream Learning
En Yu, Jie Lu, Kun Wang et al.
DRIFT: Difference-Aware Reinforcement Through Iterative Fine-Tuning for Language Model
Wenjie Liao, Xiaohui Song, Haonan Lu
Drift Estimation for Diffusion Processes Using Neural Networks Based on Discretely Observed Independent Paths
Yuzhen Zhao, Yating Liu, Marc Hoffmann
Drifting Away from Truth: GenAI-Driven News Diversity Challenges LVLM-Based Misinformation Detection
Fanxiao Li, Jiaying Wu, Tingchao Fu et al.
DriveFlow: Rectified Flow Adaptation for Robust 3D Object Detection in Autonomous Driving
Hongbin Lin, Yiming Yang, Chaoda Zheng et al.
DriveLiDAR4D: Sequential and Controllable LiDAR Scene Generation for Autonomous Driving
Kaiwen Cai, Xinze Liu, Xia Zhou et al.
Drive-R1: Bridging Reasoning and Planning in VLMs for Autonomous Driving with Reinforcement Learning
Yue Li, Meng Tian, Dechang Zhu et al.
DriveSuprim: Towards Precise Trajectory Selection for End-to-End Planning
Wenhao Yao, Zhenxin Li, Shiyi Lan et al.
Driving with Advice: Large Model as Motion Advisor for Joint Planning
Junyin Wang, Jinlei Yu, Hao Lin et al.
Driving with Regulation: Trustworthy and Interpretable Decision-Making for Autonomous Driving with Retrieval-Augmented Reasoning
Tianhui Cai, Yifan Liu, Zewei Zhou et al.
DRMD: Deep Reinforcement Learning for Malware Detection Under Concept Drift
Shae McFadden, Myles Foley, Mario D'Onghia et al.
DRM-Net: Explicit Residual Modelling with Subaquatic Multi-Scale Context Fusion for Underwater Image Enhancement
Chang Huang, Zhou Zhexin, Jun Ma et al.
Dropout Prompt Learning: Towards Robust and Adaptive Vision-Language Models
Biao Chen, Lin Zuo, Mengmeng Jing et al.
Dropouts in Confidence: Moral Uncertainty in Human-LLM Alignment
Jea Kwon, Luiz Felipe Vecchietti, Sungwon Park et al.
DRSoRec: Dual-Rectification of Social Networks for Recommendation
Liangxun Yang, Tianzi Zang, Jiayi Sun et al.
DSAP: Enhancing Generalization in Goal-Conditioned Reinforcement Learning
Yiming Wang, Kaiyan Zhao, Ming Yang et al.
DS-ATGO: Dual-Stage Synergistic Learning via Forward Adaptive Threshold and Backward Gradient Optimization for Spiking Neural Networks
Jiaqiang Jiang, Wenfeng Xu, Jing Fan et al.
DSCF: Dual-Source Counterfactual Fusion for High-Dimensional Combinatorial Interventions
Jitong Dou, Lingrui Luo, Bing Zhu et al.
DSCodeBench: A Realistic Benchmark for Data Science Code Generation
Shuyin Ouyang, Dong HUANG, Jingwen Guo 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.