Paper Papers
5,546 papers found • Page 76 of 111
DeepCalliFont: Few-Shot Chinese Calligraphy Font Synthesis by Integrating Dual-Modality Generative Models
Yitian Liu, Zhouhui Lian
Deep Contrastive Graph Learning with Clustering-Oriented Guidance
Mulin Chen, Bocheng Wang, Xuelong Li
Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees
Weijia Zhang, Chun Kai Ling, Xuanhui Zhang
Deep Hierarchical Video Compression
Ming Lu, Zhihao Duan, Fengqing Zhu et al.
Deep Homography Estimation for Visual Place Recognition
Feng Lu, Shuting Dong, Lijun Zhang et al.
Deep Incomplete Multi-View Learning Network with Insufficient Label Information
Zhangqi Jiang, Tingjin Luo, Xinyan Liang
Deep Linear Array Pushbroom Image Restoration: A Degradation Pipeline and Jitter-Aware Restoration Network
Zida Chen, Ziran Zhang, Haoying Li et al.
DeepPointMap: Advancing LiDAR SLAM with Unified Neural Descriptors
Xiaze Zhang, Ziheng Ding, Qi Jing et al.
Deep Quantum Error Correction
Yoni Choukroun, Lior Wolf
DeepSaDe: Learning Neural Networks That Guarantee Domain Constraint Satisfaction
Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel
Deep Semantic Graph Transformer for Multi-View 3D Human Pose Estimation
Lijun Zhang, Kangkang Zhou, Feng Lu et al.
DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing
Conglong Li, Zhewei Yao, Xiaoxia Wu et al.
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks
Yankai Chen, Yixiang Fang, Qiongyan Wang et al.
Deep Unfolded Network with Intrinsic Supervision for Pan-Sharpening
Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures
Gehui Xu, Jie Wen, Chengliang Liu et al.
Defeasible Normative Reasoning: A Proof-Theoretic Integration of Logical Argumentation
Ofer Arieli, Kees van Berkel, Christian Straßer
Defying Imbalanced Forgetting in Class Incremental Learning
Shixiong Xu, Gaofeng Meng, Xing Nie et al.
Delegation-Relegation for Boolean Matrix Factorization
Florent Avellaneda, Roger Villemaire
Deletion-Robust Submodular Maximization with Knapsack Constraints
Shuang Cui, Kai Han, He Huang
Delivering Inflated Explanations
Yacine Izza, Alexey Ignatiev, Peter Stuckey et al.
Delving into Multimodal Prompting for Fine-Grained Visual Classification
Xin Jiang, Hao Tang, Junyao Gao et al.
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning
Xinghao Wang, Junliang He, Pengyu Wang et al.
Dense Projection for Anomaly Detection
Dazhi Fu, Zhao Zhang, Jicong Fan
Density Matters: Improved Core-Set for Active Domain Adaptive Segmentation
Shizhan Liu, Zhengkai Jiang, Yuxi Li et al.
Dependency Structure-Enhanced Graph Attention Networks for Event Detection
Qizhi Wan, Changxuan wan, Keli Xiao et al.
DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations
Guojun Xiong, Gang Yan, Shiqiang Wang et al.
Depth-Guided Robust and Fast Point Cloud Fusion NeRF for Sparse Input Views
Shuai Guo, Qiuwen Wang, Yijie Gao et al.
DeRDaVa: Deletion-Robust Data Valuation for Machine Learning
Xiao Tian, Rachael Hwee Ling Sim, Jue Fan et al.
DeS3: Adaptive Attention-Driven Self and Soft Shadow Removal Using ViT Similarity
Descanning: From Scanned to the Original Images with a Color Correction Diffusion Model
Junghun Cha, Ali Haider, Seoyun Yang et al.
Design Graph Guided Element Importance-Aware Layout Generation with Multi-Modality Cascade Transformer
Qiuyun Zhang, Bin Guo, Lina Yao et al.
Designing Biological Sequences without Prior Knowledge Using Evolutionary Reinforcement Learning
Xi Zeng, Xiaotian Hao, Hongyao Tang et al.
Detect Any Keypoints: An Efficient Light-Weight Few-Shot Keypoint Detector
Changsheng Lu, Piotr Koniusz
Detecting and Preventing Hallucinations in Large Vision Language Models
Anisha Gunjal, Jihan Yin, Erhan Bas
Detection and Defense of Unlearnable Examples
Yifan Zhu, lijia Yu, Xiao-Shan Gao
Detection-Based Intermediate Supervision for Visual Question Answering
Yuhang Liu, Daowan Peng, Wei Wei et al.
Devignet: High-Resolution Vignetting Removal via a Dual Aggregated Fusion Transformer with Adaptive Channel Expansion
Shenghong Luo, Xuhang Chen, Weiwen Chen et al.
DexFuncGrasp: A Robotic Dexterous Functional Grasp Dataset Constructed from a Cost-Effective Real-Simulation Annotation System
Jinglue Hang, Xiangbo Lin, Tianqiang Zhu et al.
DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection
Authors: Mingjiang Duan, Tongya Zheng, Yang Gao et al.
DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization
Aritra Bhowmick, Mert Kosan, Zexi Huang et al.
DGL: Dynamic Global-Local Prompt Tuning for Text-Video Retrieval
Xiangpeng Yang, Linchao Zhu, Xiaohan Wang et al.
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization
Wenze Chen, Shiyu Huang, Yuan Chiang et al.
DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning
Jincen Jiang, Lizhi Zhao, Xuequan Lu et al.
Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach
Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai et al.
Dialogue for Prompting: A Policy-Gradient-Based Discrete Prompt Generation for Few-Shot Learning
Chengzhengxu Li, Xiaoming Liu, Yichen Wang et al.
Dialogues Are Not Just Text: Modeling Cognition for Dialogue Coherence Evaluation
DiDA: Disambiguated Domain Alignment for Cross-Domain Retrieval with Partial Labels
Haoran Liu, Ying Ma, Ming Yan et al.
DifAttack: Query-Efficient Black-Box Adversarial Attack via Disentangled Feature Space
Jun Liu, Jiantao Zhou, Jiandian Zeng et al.
DiffAIL: Diffusion Adversarial Imitation Learning
Bingzheng Wang, Guoqiang Wu, Teng Pang et al.
DiffBEV: Conditional Diffusion Model for Bird’s Eye View Perception
Jiayu Zou, Kun Tian, Zheng Zhu et al.