:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Ernhofer, Benjamin Raphael, Prokhorov, Daniil, Langner, Jannica, Bollmann, Dominik
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence
Accesso online:	https://arxiv.org/abs/2505.05895
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

ZonUI-3B: A Lightweight Vision-Language Model for Cross-Resolution GUI Grounding
di: Hsieh, ZongHan, et al.
Pubblicazione: (2025)

ScreenAI: A Vision-Language Model for UI and Infographics Understanding
di: Baechler, Gilles, et al.
Pubblicazione: (2024)

FocusUI: Efficient UI Grounding via Position-Preserving Visual Token Selection
di: Ouyang, Mingyu, et al.
Pubblicazione: (2026)

ShowUI: One Vision-Language-Action Model for GUI Visual Agent
di: Lin, Kevin Qinghong, et al.
Pubblicazione: (2024)

UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction
di: Nayak, Shravan, et al.
Pubblicazione: (2025)

Vision Language Model-based Caption Evaluation Method Leveraging Visual Context Extraction
di: Maeda, Koki, et al.
Pubblicazione: (2024)

Bootstrapping Action-Grounded Visual Dynamics in Unified Vision-Language Models
di: Qiu, Yifu, et al.
Pubblicazione: (2025)

UI-Ins: Enhancing GUI Grounding with Multi-Perspective Instruction-as-Reasoning
di: Chen, Liangyu, et al.
Pubblicazione: (2025)

LLaVA-SG: Leveraging Scene Graphs as Visual Semantic Expression in Vision-Language Models
di: Wang, Jingyi, et al.
Pubblicazione: (2024)

Towards Understanding Visual Grounding in Visual Language Models
di: Pantazopoulos, Georgios, et al.
Pubblicazione: (2025)

Point-It-Out: Benchmarking Embodied Reasoning for Vision Language Models in Multi-Stage Visual Grounding
di: Xue, Haotian, et al.
Pubblicazione: (2025)

UI-Zoomer: Uncertainty-Driven Adaptive Zoom-In for GUI Grounding
di: Tang, Fei, et al.
Pubblicazione: (2026)

ViGoR: Improving Visual Grounding of Large Vision Language Models with Fine-Grained Reward Modeling
di: Yan, Siming, et al.
Pubblicazione: (2024)

Your Large Vision-Language Model Only Needs A Few Attention Heads For Visual Grounding
di: Kang, Seil, et al.
Pubblicazione: (2025)

Predicting and Explaining Mobile UI Tappability with Vision Modeling and Saliency Analysis
di: Schoop, Eldon, et al.
Pubblicazione: (2022)

Think, Act, Build: An Agentic Framework with Vision Language Models for Zero-Shot 3D Visual Grounding
di: Wang, Haibo, et al.
Pubblicazione: (2026)

Step-Level Visual Grounding Faithfulness Predicts Out-of-Distribution Generalization in Long-Horizon Vision-Language Models
di: Rahman, Md Ashikur, et al.
Pubblicazione: (2026)

Leveraging Vision-Language Models to Detect Attention in Educational Videos
di: Becquet, Gabriel, et al.
Pubblicazione: (2026)

GroundCount: Grounding Vision-Language Models with Object Detection for Mitigating Counting Hallucinations
di: Chen, Boyuan, et al.
Pubblicazione: (2026)

Are Large Vision Language Models Truly Grounded in Medical Images? Evidence from Italian Clinical Visual Question Answering
di: Felizzi, Federico, et al.
Pubblicazione: (2025)

Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models
di: Prasad, Archiki, et al.
Pubblicazione: (2023)

First Logit Boosting: Visual Grounding Method to Mitigate Object Hallucination in Large Vision-Language Models
di: Ha, Jiwoo, et al.
Pubblicazione: (2026)

Towards GUI Agents: Vision-Language Diffusion Models for GUI Grounding
di: Kumbhar, Shrinidhi, et al.
Pubblicazione: (2026)

To Agree or To Be Right? The Grounding-Sycophancy Tradeoff in Medical Vision-Language Models
di: Aranya, OFM Riaz Rahman, et al.
Pubblicazione: (2026)

Physically Grounded Vision-Language Models for Robotic Manipulation
di: Gao, Jensen, et al.
Pubblicazione: (2023)

Temporally-Grounded Language Generation: A Benchmark for Real-Time Vision-Language Models
di: Yu, Keunwoo Peter, et al.
Pubblicazione: (2025)

Spatially Grounded Explanations in Vision Language Models for Document Visual Question Answering
di: Lagos, Maximiliano Hormazábal, et al.
Pubblicazione: (2025)

Skill-Conditioned Visual Geolocation for Vision-Language Models
di: Yang, Chenjie, et al.
Pubblicazione: (2026)

Generative Visual Communication in the Era of Vision-Language Models
di: Vinker, Yael
Pubblicazione: (2024)

Cross-Modal Attention Analysis and Optimization in Vision-Language Models: A Study on Visual Reliability
di: Zhou, Lijie
Pubblicazione: (2026)

3DReasonKnee: Advancing Grounded Reasoning in Medical Vision Language Models
di: Sambara, Sraavya, et al.
Pubblicazione: (2025)

Beyond Dominant Patches: Spatial Credit Redistribution For Grounded Vision-Language Models
di: Samin, Niamul Hassan, et al.
Pubblicazione: (2026)

Decomposing Complex Visual Comprehension into Atomic Visual Skills for Vision Language Models
di: Chae, Hyunsik, et al.
Pubblicazione: (2025)

UI-AGILE: Advancing GUI Agents with Effective Reinforcement Learning and Precise Inference-Time Grounding
di: Lian, Shuquan, et al.
Pubblicazione: (2025)

Leveraging Vision-Language Models to Select Trustworthy Super-Resolution Samples Generated by Diffusion Models
di: Korkmaz, Cansu, et al.
Pubblicazione: (2025)

Progressive Language-guided Visual Learning for Multi-Task Visual Grounding
di: Wang, Jingchao, et al.
Pubblicazione: (2025)

MVL-Loc: Leveraging Vision-Language Model for Generalizable Multi-Scene Camera Relocalization
di: Xiao, Zhendong, et al.
Pubblicazione: (2025)

Beyond Cross-Modal Alignment: Measuring and Leveraging Modality Gap in Vision-Language Models
di: Yan, Hanqi, et al.
Pubblicazione: (2025)

Leveraging Chat-Based Large Vision Language Models for Multimodal Out-Of-Context Detection
di: Shalabi, Fatma, et al.
Pubblicazione: (2024)

VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context
di: Li, Yunxin, et al.
Pubblicazione: (2024)