Core AI

MDIT-Bench: Evaluating the Dual-Implicit Toxicity in Large Multimodal Models ACL 2025 MDP-Omni: Parameter-free Multimodal Depth Prior-based Sampling for Omnidirectional Stereo Matching ICCV 2025 MeasureXpert: Automatic Anthropometric Measurement Extraction from Two Unregistered, Partial, Posed, and Dressed Body Scans ICCV 2025 MEET: Towards Memory-Efficient Temporal Sparse Deep Neural Networks CVPR 2025 MeGA: Hybrid Mesh-Gaussian Head Avatar for High-Fidelity Rendering and Head Editing CVPR 2025 MegaPairs: Massive Data Synthesis for Universal Multimodal Retrieval ACL 2025 MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data CVPR 2025 MemeQA: Holistic Evaluation for Meme Understanding ACL 2025 Memory-QA: Answering Recall Questions Based on Multimodal Memories EMNLP 2025 MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh ICCV 2025 MICE: Mixture of Image Captioning Experts Augmented e-Commerce Product Attribute Value Extraction ACL 2025 MimicGait: A Model Agnostic Approach for Occluded Gait Recognition using Correlational Knowledge Distillation WACV 2025 Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching ICCV 2025 Mind the GAP: Glimpse-based Active Perception improves generalization and sample efficiency of visual reasoning ICLR 2025 Mind the Gesture: Evaluating AI Sensitivity to Culturally Offensive Non-Verbal Gestures ACL 2025 MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction AAAI 2025 MINIMA: Modality Invariant Image Matching CVPR 2025 MIRe: Enhancing Multimodal Queries Representation via Fusion-Free Modality Interaction for Multimodal Retrieval ACL 2025 Misogynistic Meme Detection in Dravidian Languages Using Kolmogorov Arnold-based Networks NAACL 2025 Mitigating Hallucinations in Large Vision-Language Models by Adaptively Constraining Information Flow AAAI 2025 Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding NAACL 2025 Mitigating Pervasive Modality Absence Through Multimodal Generalization and Refinement AAAI 2025 MixA: A Mixed Attention approach with Stable Lightweight Linear Attention to enhance Efficiency of Vision Transformers at the Edge ICCV 2025 MixDiff: Mixing Natural and Synthetic Images for Robust Self-Supervised Representations WACV 2025 Mixed Patch Visible-Infrared Modality Agnostic Object Detection WACV 2025