Papers
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.
DRIVINGVQA: A Dataset for Interleaved Visual Chain-of-Thought in Real-World Driving Scenarios
Charles Corbière, Simon Roburin, Syrielle Montariol 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.
Dronaquatics: Real-time Swimming Analytics Using Drone Captured Imagery
Thu Tran, Harold Abraham Joseph, Kichang Lee 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.
DRWKV: Focusing on Object Edges for Low-Light Image Enhancement
Xuecheng Bai, Yuxiang Wang, Boyu Hu et al.
DS2-Instruct: Domain-Specific Data Synthesis for Large Language Models Instruction Tuning
Ruiyao Xu, Noelle I. Samia, Han Liu
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.
DSP-PCQA: Integrating Multiple Perception Preferences for Point Cloud Quality Assessment
Mingxuan Li, Fazhan Zhang, Zhenzhe Hou et al.
DS-ProGen: A Dual-Structure Deep Language Model for Functional Protein Design
Yanting Li, Zikang Wang, Jiyue Jiang et al.
DS SERVE: A Framework for Efficient and Scalable Neural Retrieval
Jinjian Liu, Yichuan Wang, Xinxi Lyu et al.
DTECT: Dynamic Topic Explorer & Context Tracker
Suman Adhya, Debarshi Kumar Sanyal