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Computer Vision › Core AI ›

Multi-Modal Learning

55 papers

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Papers

CoreGaze: Core Subgraph-Driven Visual Gaze Diffusion for Training-Free Referring Multimodal Large Language Models ACL 2026

DPDV: Dual-Pathway and Dual-View Representation Learning for Bridging Information Asymmetry in Text-Video Retrieval ACL 2026

Towards Mitigating Modality Bias in Vision-Language Models for Temporal Action Localization ACL 2026

Diffusion-CAM: Faithful Visual Explanations for dMLLMs ACL 2026

Learning What Matters: Dynamic Dimension Selection and Aggregation for Interpretable Vision-Language Reward Modeling ACL 2026

Measure Twice, Click Once: Co-evolving Proposer and Visual Critic via Reinforcement Learning for GUI Grounding ACL 2026

Looking Beyond the One: Operationalizing and Eliciting Visual Ambiguity in VLLMs ACL 2026

GeoLaux: A Benchmark for Evaluating MLLMs’ Geometry Performance on Long-Step Problems Requiring Auxiliary Lines ACL 2026

VisRet: Visualization Improves Knowledge-Intensive Text-to-Image Retrieval ACL 2026

DocLens: A Tool-Augmented Multi-Agent Framework for Long Visual Document Understanding ACL 2026

Beyond the Panorama: Training-Free Hierarchical Perception-Reasoning for Fine-Grained Vision in MLLMs ACL 2026

VC-Inspector: Advancing Reference-free Evaluation of Video Captions with Factual Analysis ACL 2026

GameplayQA: A Benchmarking Framework for Decision-Dense POV-Synced Multi-Video Understanding of 3D Virtual Agents ACL 2026

Measuring Social Bias in Vision-Language Models with Face-Only Counterfactuals from Real Photos ACL 2026

Tiny Scales, Great Challenges: The Limits of Multimodal LLMs in Scale Recognition ACL 2026

ViLL-E: Video LLM Embeddings for Retrieval ACL 2026

Z3D: Zero-Shot 3D Visual Grounding from Images ACL 2026

GovScape: A Public Multimodal Search System for 70 Million Pages of Government PDFs ACL 2026

UNIVID: Unified Vision-Language Model for Video Moderation ACL 2026

Multi-modal and Multi-scale Spatial Environment Understanding for Immersive Visual Text-to-Speech AAAI 2025

Are Any-to-Any Models More Consistent Across Modality Transfers Than Specialists? ACL 2025

Visual Evidence Prompting Mitigates Hallucinations in Large Vision-Language Models ACL 2025

PURA: Parameter Update-Recovery Test-Time Adaption for RGB-T Tracking CVPR 2025

One is Plenty: A Polymorphic Feature Interpreter for Immutable Heterogeneous Collaborative Perception CVPR 2025

Fooling the LVLM Judges: Visual Biases in LVLM-Based Evaluation EMNLP 2025