Papers
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.
D-Fusion: Direct Preference Optimization for Aligning Diffusion Models with Visually Consistent Samples
Zijing Hu, Fengda Zhang, Kun Kuang
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.
DGHFA: Dynamic Gradient and Hierarchical Feature Alignment for Robust Distillation of Medical VLMs
Boyi Xiao, Jianghao Wu, Lanfeng Zhong 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.
DGM: Disentangled Generative Model for Detecting AD Individualized Pathological Changes via Pseudo-Healthy Synthesis
Zhuangzhuang Li, Kun Zhao, Dong Wang et al.
DGMIR: Dual-Guided Multimodal Medical Image Registration based on Multi-view Augmentation and On-site Modality Removal
Gao Le, Yucheng Shu, Lihong Qiao et al.
DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models
Hyogon Ryu, NaHyeon Park, Hyunjung Shim
DGraFormer: Dynamic Graph Learning Guided Multi-Scale Transformer for Multivariate Time Series Forecasting
Han Yan, Dongliang Chen, Guiyuan Jiang et al.
DGTalker: Disentangled Generative Latent Space Learning for Audio-Driven Gaussian Talking Heads
Xiaoxi Liang, Yanbo Fan, Qiya Yang et al.
DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification
Feifei Qian, Lu Bai, Lixin Cui et al.
DharmaBench: Evaluating Language Models on Buddhist Texts in Sanskrit and Tibetan
Kai Golan Hashiloni, Shay Cohen, Asaf Shina et al.
DharmaBench: Evaluating Language Models on Buddhist Texts in Sanskrit and Tibetan
Kai Golan Hashiloni, Shay Cohen, Asaf Shina et al.
DH-FaceVid-1K: A Large-Scale High-Quality Dataset for Face Video Generation
Donglin Di, He Feng, Wenzhang Sun et al.
DHGFormer: Dynamic Hierarchical Graph Transformer for Disorder Brain Disease Diagnosis
Rundong Xue, Hao Hu, Zeyu Zhang et al.
DHMoE: Diffusion Generated Hierarchical Multi-Granular Expertise for Stock Prediction
Weijun Chen, Yanze Wang
DHP Benchmark: Are LLMs Good NLG Evaluators?
Yicheng Wang, Jiayi Yuan, Yu-Neng Chuang et al.
DH-Set: Improving Vision-Language Alignment with Diverse and Hybrid Set-Embeddings Learning
Kun Zhang, Jingyu Li, Zhe Li et al.
DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification
Xinya Qin, Lu Bai, Lixin Cui et al.
DIACU: A dataset for the DIAchronic analysis of Church Slavonic
Maria Cassese, Giovanni Puccetti, Marianna Napolitano et al.