AAAI Papers
5,317 papers found • Page 14 of 107
Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction
Sicheng He, Junzhong Ji, Minglong Lei
Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition
Haoyu Xie, Haoxuan Li, Chunyuan Zheng et al.
Deconfound Semantic Shift and Incompleteness in Incremental Few-shot Semantic Segmentation
Yirui Wu, Yuhang Xia, Hao Li et al.
DeCorrNet: Enhancing Neural Decoding Performance by Eliminating Correlations in Noise
Xianhan Tan, Yu Qi, Yueming Wang
Decoupled Policy Actor-Critic: Bridging Pessimism and Risk Awareness in Reinforcement Learning
Michal Nauman, Marek Cygan
Decoupled Spatio-Temporal Consistency Learning for Self-Supervised Tracking
Yaozong Zheng, Bineng Zhong, Qihua Liang et al.
Decoupling Appearance Variations with 3D Consistent Features in Gaussian Splatting
Jiaqi Lin, Zhihao Li, Binxiao Huang et al.
Decoupling Metacognition from Cognition: A Framework for Quantifying Metacognitive Ability in LLMs
Guoqing Wang, Wen Wu, Guangze Ye et al.
Decoupling Scattering: Pseudo-Label Guided NeRF for Scenes with Scattering Media
Mingyang Zhang, Junkang Zhang, Faming Fang et al.
DECT: Harnessing LLM-assisted Fine-Grained Linguistic Knowledge and Label-Switched and Label-Preserved Data Generation for Diagnosis of Alzheimer’s Disease
Tingyu Mo, Jacqueline C. K. Lam, Victor O. K. Li et al.
Deep Disentangled Metric Learning
Jinhee Park, Jisoo Park, Dagyeong Na et al.
Deep Evidential Hashing for Trustworthy Cross-Modal Retrieval
Yuan Li, Liangli Zhen, Yuan Sun et al.
Deep Generative Model for Mechanical System Configuration Design
Yasaman Etesam, Hyunmin Cheong, Mohammadmehdi Ataei et al.
Deep Graph Online Hashing for Multi-Label Image Retrieval
Yuan Cao, Xiangru Chen, Zifan Liu et al.
Deep Hierarchies and Invariant Disease-Indicative Feature Learning for Computer Aided Diagnosis of Multiple Fundus Diseases
Yuxin Lin, Wei Wang, Xiaoling Luo et al.
Deep Hypergraph Neural Networks with Tight Framelets
Ming Li, Yujie Fang, Yi Wang et al.
Deep Implicit Imitation Reinforcement Learning in Heterogeneous Action Settings
Iason Chrysomallis, Georgios Chalkiadakis, Ioannis Papamichail et al.
Deep Multi-modal Graph Clustering via Graph Transformer Network
Qianqian Wang, Haiming Xu, Zihao Zhang et al.
Deep Non-Rigid Structure-from-Motion Revisited: Canonicalization and Sequence Modeling
Hui Deng, Jiawei Shi, Zhen Qin et al.
Deep Rank-One Tensor Functional Factorization for Multi-Dimensional Data Recovery
Yanyi Li, Xi Zhang, Yisi Luo et al.
Deep Reinforcement Learning with Time-Scale Invariant Memory
Md Rysul Kabir, James Mochizuki-Freeman, Zoran Tiganj
Deep Representation Learning for Forecasting Recursive and Multi-Relational Events in Temporal Networks
Tony Gracious, Ambedkar Dukkipati
DeepSN: A Sheaf Neural Framework for Influence Maximization
Asela Hevapathige, Qing Wang, Ahad N. Zehmakan
Deep Submodular Optimization and LLM for Multimodal Content Extraction and Automatic Poster Generation from Long Document
Vijay Jaisankar, Sambaran Bandyopadhyay, Kalp Vyas et al.
DEEPTalk: Dynamic Emotion Embedding for Probabilistic Speech-Driven 3D Face Animation
Jisoo Kim, Jungbin Cho, Joonho Park et al.
Deep-Union Completion
Siddharth Baskar, Karan Vikyath Veeranna Rupashree, Daniel L. Pimentel-Alarcón
Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimization
Yue Zhang, Liqiang Jing, Vibhav Gogate
Defending Against Sophisticated Poisoning Attacks with RL-based Aggregation in Federated Learning
Yujing Wang, Hainan Zhang, Sijia Wen et al.
Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy
Jian-Ping Mei, Weibin Zhang, Jie Chen et al.
Dehaze-RetinexGAN: Real-World Image Dehazing via Retinex-based Generative Adversarial Network
Xinran Wang, Guang Yang, Tian Ye et al.
Delay as Payoff in MAB
Ofir Schlisselberg, Ido Cohen, Tal Lancewicki et al.
DELTA: Pre-Train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment
Haitao Li, Qingyao Ai, Xinyan Han et al.
DeMo: Decoupled Feature-Based Mixture of Experts for Multi-Modal Object Re-Identification
Yuhao Wang, Yang Liu, Aihua Zheng et al.
DeMo: Deep Motion Field Consensus with Learnable Kernels for Two-view Correspondence Learning
Yifan Lu, Jiajun Le, Zizhuo Li et al.
DeNC: Unleash Neural Codecs in Video Streaming with Diffusion Enhancement
Qihua Zhou, Ruibin Li, Jingcai Guo et al.
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors
Wasu Top Piriyakulkij, Yingheng Wang, Volodymyr Kuleshov
Dense Audio-Visual Event Localization Under Cross-Modal Consistency and Multi-Temporal Granularity Collaboration
Ziheng Zhou, Jinxing Zhou, Wei Qian et al.
Densely Connected Parameter-Efficient Tuning for Referring Image Segmentation
Jiaqi Huang, Zunnan Xu, Ting Liu et al.
Densest k-Subgraph Mining via a Provably Tight Relaxation
Qiheng Lu, Nicholas D Sidiropoulos, Aritra Konar
DepMGNN: Matrixial Graph Neural Network for Video-based Automatic Depression Assessment
Zijian Wu, Leijing Zhou, Shuanglin Li et al.
Depth-Centric Dehazing and Depth-Estimation from Real-World Hazy Driving Video
Junkai Fan, Kun Wang, Zhiqiang Yan et al.
DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching
Ming Gui, Johannes Schusterbauer, Ulrich Prestel et al.
DEQA: Descriptions Enhanced Question-Answering Framework for Multimodal Aspect-Based Sentiment Analysis
Zhixin Han, Mengting Hu, Yinhao Bai et al.
DeRainGS: Gaussian Splatting for Enhanced Scene Reconstruction in Rainy Environments
Shuhong Liu, Xiang Chen, Hongming Chen et al.
Descriptive and Discriminative Document Identifiers for Generative Retrieval
Jiehan Cheng, Zhicheng Dou, Yutao Zhu et al.
DesignEdit: Unify Spatial-Aware Image Editing via Training-free Inpainting with a Multi-Layered Latent Diffusion Framework
Yueru Jia, Aosong Cheng, Yuhui Yuan et al.
Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport
Ahmad Reza Ehyaei, Golnoosh Farnadi, Samira Samadi
Designing Specialized Two-Dimensional Graph Spectral Filters for Spatial-Temporal Graph Modeling
Yuxin Chen, Fangru Lin, Jingyi Huo et al.
Design Principle Transfer in Neural Architecture Search via Large Language Models
Xun Zhou, Xingyu Wu, Liang Feng et al.
De-singularity Subgradient for the q-th-Powered lₚ-Norm Weber Location Problem
Zhao-Rong Lai, Xiaotian Wu, Liangda Fang et al.