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Core AI

4,031 papers (63 classified directly here)

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Papers (including subtopics)

Defining and Evaluating Visual Language Models’ Basic Spatial Abilities: A Perspective from Psychometrics ACL 2025 DefMamba: Deformable Visual State Space Model CVPR 2025 DELOC: Document Element Localizer EMNLP 2025 DeMo: Decoupled Feature-Based Mixture of Experts for Multi-Modal Object Re-Identification AAAI 2025 DeMo: Deep Motion Field Consensus with Learnable Kernels for Two-view Correspondence Learning AAAI 2025 Depth AnyEvent: A Cross-Modal Distillation Paradigm for Event-Based Monocular Depth Estimation ICCV 2025 Detecting Referring Expressions in Visually Grounded Dialogue with Autoregressive Language Models ACL 2025 Diagram-Driven Course Questions Generation EMNLP 2025 DiffCorr: Conditional Diffusion Model with Reliable Pseudo-Label Guidance for Unsupervised Point Cloud Shape Correspondence AAAI 2025 Diffusion-Based Generative Regularization for Supervised Discriminative Learning WACV 2025 DiMo-GUI: Advancing Test-time Scaling in GUI Grounding via Modality-Aware Visual Reasoning EMNLP 2025 DIP: Unsupervised Dense In-Context Post-training of Visual Representations ICCV 2025 DiscoSG: Towards Discourse-Level Text Scene Graph Parsing through Iterative Graph Refinement EMNLP 2025 Disentangle Nighttime Lens Flares: Self-supervised Generation-based Lens Flare Removal AAAI 2025 Disentangle Source and Target Knowledge for Continual Test-Time Adaptation WACV 2025 DiskVPS: Vanishing Point Detector via Hough Transform in a Disk Region CVPR 2025 Diving into Mitigating Hallucinations from a Vision Perspective for Large Vision-Language Models EMNLP 2025 Dll5143@DravidianLangTech 2025: Majority Voting-Based Framework for Misogyny Meme Detection in Tamil and Malayalam NAACL 2025 DLRG@DravidianLangTech 2025: Multimodal Hate Speech Detection in Dravidian Languages NAACL 2025 DocFusion: A Unified Framework for Document Parsing Tasks ACL 2025 Does Acceleration Cause Hidden Instability in Vision Language Models? Uncovering Instance-Level Divergence Through a Large-Scale Empirical Study EMNLP 2025 DoGA: Enhancing Grounded Object Detection via Grouped Pre-Training with Attributes AAAI 2025 Do It Yourself: Learning Semantic Correspondence from Pseudo-Labels ICCV 2025 Don’t Miss the Forest for the Trees: Attentional Vision Calibration for Large Vision Language Models ACL 2025 Do Slides Help? Multi-modal Context for Automatic Transcription of Conference Talks EMNLP 2025