Papers
DexGrasp Anything: Towards Universal Robotic Dexterous Grasping with Physics Awareness
Yiming Zhong, Qi Jiang, Jingyi Yu et al.
DexH2R: A Benchmark for Dynamic Dexterous Grasping in Human-to-Robot Handover
Youzhuo Wang, Jiayi Ye, Chuyang Xiao et al.
DexHandDiff: Interaction-aware Diffusion Planning for Adaptive Dexterous Manipulation
Zhixuan Liang, Yao Mu, Yixiao Wang et al.
Dexonomy: Synthesizing All Dexterous Grasp Types in a Grasp Taxonomy
Jiayi Chen, Yubin Ke, Lin Peng et al.
DexterityGen: Foundation Controller for Unprecedented Dexterity
Zhao-Heng Yin, Changhao Wang, Luis Pineda et al.
DexTrack: Towards Generalizable Neural Tracking Control for Dexterous Manipulation from Human References
Xueyi Liu, Jianibieke Adalibieke, Qianwei Han et al.
DexVLG: Dexterous Vision-Language-Grasp Model at Scale
Jiawei He, Danshi Li, Xinqiang Yu et al.
DexWild: Dexterous Human Interactions for In-the-Wild Robot Policies
Tony Tao, Mohan Kumar Srirama, Jason Jingzhou Liu et al.
DFCA: Disentangled Feature Contrastive Learning and Augmentation for Fairer Dermatological Diagnostics
Pengcheng Zhao, Xiaowei Ding
DFDNet: Disentangling and Filtering Dynamics for Enhanced Video Prediction
Lianqiang Gan, Junyu Lai, Jingze Ju et al.
DFF: Decision-Focused Fine-Tuning for Smarter Predict-Then-Optimize with Limited Data
Jiaqi Yang, Enming Liang, Zicheng Su et al.
D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement
Yansong Peng, Hebei Li, Peixi Wu et al.
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis
Luyuan Xie, Tianyu Luan, Wenyuan Cai et al.
DFLOW: Diverse Dialogue Flow Simulation with Large Language Models
Wanyu Du, Song Feng, James Gung et al.
DFM: Differentiable Feature Matching for Anomaly Detection
Sheng Wu, Yimi Wang, Xudong Liu et al.
DF-MIA: A Distribution-Free Membership Inference Attack on Fine-Tuned Large Language Models
Zhiheng Huang, Yannan Liu, Daojing He et al.
DFMU: Distribution-based Framework for Modeling Aleatoric Uncertainty in Multimodal Sentiment Analysis
Chen Tang, Tingrui Shen, Xinrong Gong et al.
DFormerv2: Geometry Self-Attention for RGBD Semantic Segmentation
Bo-Wen Yin, Jiao-Long Cao, Ming-Ming Cheng et al.
DGCPL: Dual Graph Distillation for Concept Prerequisite Relation Learning
Miao Zhang, Jiawei Wang, Jinying Han et al.
D-GEN: Automatic Distractor Generation and Evaluation for Reliable Assessment of Generative Models
Grace Byun, Jinho D. Choi
DGExplainer: Explaining Dynamic Graph Neural Networks via Relevance Back-propagation
Yezi Liu, Jiaxuan Xie, Yanning Shen
DGFamba: Learning Flow Factorized State Space for Visual Domain Generalization
Qi Bi, Jingjun Yi, Hao Zheng et al.
DGL: Dynamic Global-Local Information Aggregation for Scalable VRP Generalization with Self-Improvement Learning
Yubin Xiao, Yuesong Wu, Rui Cao et al.
DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models
Haonan Yuan, Qingyun Sun, Zhaonan Wang et al.
DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models
Hyogon Ryu, NaHyeon Park, Hyunjung Shim