AAAI Papers

Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation

DIUSum: Dynamic Image Utilization for Multimodal Summarization

Min Xiao, Junnan Zhu, Feifei Zhai et al.

DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection

Li Xiang, Junbo Yin, Wei Li et al.

Divergence-Guided Simultaneous Speech Translation

Xinjie Chen, Kai Fan, Wei Luo et al.

Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation

Guy Yariv, Itai Gat, Sagie Benaim et al.

Diverse and Stable 2D Diffusion Guided Text to 3D Generation with Noise Recalibration

Diverse Person: Customize Your Own Dataset for Text-Based Person Search

Zifan Song, Guosheng Hu, Cairong Zhao

Diversity-Authenticity Co-constrained Stylization for Federated Domain Generalization in Person Re-identification

Fengxiang Yang, Zhun Zhong, Zhiming Luo et al.

Divide and Conquer: Hybrid Pre-training for Person Search

Yanling Tian, Di Chen, Yunan Liu et al.

DLCA-Recon: Dynamic Loose Clothing Avatar Reconstruction from Monocular Videos

Chunjie Luo, Fei Luo, Yusen Wang et al.

DME: Unveiling the Bias for Better Generalized Monocular Depth Estimation

Songsong Yu, Yifan Wang, Yunzhi Zhuge et al.

DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mutual Reconstruction

DocFormerv2: Local Features for Document Understanding

Srikar Appalaraju, Peng Tang, Qi Dong et al.

DocMSU: A Comprehensive Benchmark for Document-Level Multimodal Sarcasm Understanding

Hang Du, Guoshun Nan, Sicheng Zhang et al.

DocNLC: A Document Image Enhancement Framework with Normalized and Latent Contrastive Representation for Multiple Degradations

Ruilu Wang, Yang Xue, Lianwen Jin

DOCTR: Disentangled Object-Centric Transformer for Point Scene Understanding

Xiaoxuan Yu, Hao Wang, Weiming Li et al.

Does Few-Shot Learning Suffer from Backdoor Attacks?

Xinwei Liu, Xiaojun Jia, Jindong Gu et al.

DOGE-Train: Discrete Optimization on GPU with End-to-End Training

Ahmed Abbas, P. Swoboda

Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability

Seokhyeon Ha, Sunbeom Jeong, Jungwoo Lee

Domain-Controlled Prompt Learning

Qinglong Cao, Zhengqin Xu, Yuntian Chen et al.

Domain Generalizable Person Search Using Unreal Dataset

Authors: Minyoung Oh, Duhyun Kim, Jae-Young Sim

Domain Generalization with Vital Phase Augmentation

Ingyun Lee, WooJu Lee, Hyun Myung

Domain-Hallucinated Updating for Multi-Domain Face Anti-spoofing

Chengyang Hu, Ke-Yue Zhang, Taiping Yao et al.

Domain Invariant Learning for Gaussian Processes and Bayesian Exploration

Xilong Zhao, Siyuan Bian, Yaoyun Zhang et al.

Double Auction on Diffusion Network

Miao Li, Yuhan Cao, Dengji Zhao

Double-Bounded Optimal Transport for Advanced Clustering and Classification

Liangliang Shi, Zhaoqi Shen, Junchi Yan

Double Buffers CEM-TD3: More Efficient Evolution and Richer Exploration

Sheng Zhu, Chun Shen, Shuai Lü et al.

Double-Descent Curves in Neural Networks: A New Perspective Using Gaussian Processes

Ouns El Harzli, Bernardo Cuenca Grau, Guillermo Valle Perez et al.

Double-Layer Hybrid-Label Identification Feature Selection for Multi-View Multi-Label Learning

Pingting Hao, Kunpeng Liu, Wanfu Gao

Doubly Perturbed Task Free Continual Learning

Byung Hyun Lee, Min-hwan Oh, Se Young Chun

DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction)

Qiaoyue Tang, Frederick Shpilevskiy, Mathias Lécuyer

DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection

Zhongyi Shui, Sunyi Zheng, Chenglu Zhu et al.

DreamIdentity: Enhanced Editability for Efficient Face-Identity Preserved Image Generation

Zhuowei Chen, Shancheng Fang, Wei Liu et al.

DreamStyler: Paint by Style Inversion with Text-to-Image Diffusion Models

Namhyuk Ahn, Junsoo Lee, Chunggi Lee et al.

DRF: Improving Certified Robustness via Distributional Robustness Framework

Zekai Wang, Zhengyu Zhou, Weiwei Liu

DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency

Wenfang Yao, Kejing Yin, William Cheung et al.

DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems

Bowen Wang, Chen Liang, Jiaze Wang et al.

DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning

Huiping Zhuang, Run He, Kai Tong et al.

DSD$^2$: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free?

Victor Quetu, Enzo Tartaglione

DTF-AT: Decoupled Time-Frequency Audio Transformer for Event Classification

Tony Alex, Sara Ahmed, Armin Mustafa et al.

DTL: Disentangled Transfer Learning for Visual Recognition

Minghao Fu, Ke Zhu, Jianxin Wu

DTMFormer: Dynamic Token Merging for Boosting Transformer-Based Medical Image Segmentation

Zhehao Wang, Xian Lin, Nannan Wu et al.

Dual-Channel Learning Framework for Drug-Drug Interaction Prediction via Relation-Aware Heterogeneous Graph Transformer

Xiaorui Su, Pengwei Hu, Zhu-Hong You et al.

Dual-Level Curriculum Meta-Learning for Noisy Few-Shot Learning Tasks

Xiaofan Que, Qi Yu

Dual-Perspective Knowledge Enrichment for Semi-supervised 3D Object Detection

Yucheng Han, Na Zhao, Weiling Chen et al.

Dual-Prior Augmented Decoding Network for Long Tail Distribution in HOI Detection

Jiayi Gao, Kongming Liang, Tao Wei et al.

Dual Self-Paced Cross-Modal Hashing

Yuan Sun, Jian Dai, Zhenwen Ren et al.

Dual-View Whitening on Pre-trained Text Embeddings for Sequential Recommendation

Lingzi Zhang, Xin Zhou, Zhiwei Zeng et al.

Dual-Window Multiscale Transformer for Hyperspectral Snapshot Compressive Imaging

Fulin Luo, Xi Chen, Xiuwen Gong et al.

DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning

Won-Seok Choi, Hyundo Lee, Dong-Sig Han et al.