Papers Visual Grounding
“Visual Grounding” 태그가 달린 논문 1,131편 · 필터 해제
VepAgent: Bridging Causal-Transition via Tool-Augmented Reinforcement Learning for Video Event Prediction
Multimodal Large Language Models (MLLMs) have demonstrated remarkable potential in video understanding, yet their reliance on retrospective summarization and text-centric priors often limits their ability to bridge unobs…
Reinforcement LearningVisual GroundingCoEvolve: Construct-to-Edit Visual Grounding with Bidirectional State Refinement
Visual grounding localizes an object described by language with a bounding box. Most multimodal grounding models compress target identification, spatial reasoning, and boundary estimation into one terminal prediction. Fr…
Spatial ReasoningVisual GroundingMotorMind: Scaffolding General Vision Language Models for Zero-Shot Robot Manipulation
Vision-language-action (VLA) models have advanced robotic manipulation, but their zero-shot generalization in new tasks and environments remains limited, and their reliance on specialized training keeps them from benefit…
Zero-shot GeneralizationRobot ManipulationVisual GroundingBeyond Selection: Token Parameterization for Extreme Visual Token Compression
Visual-token compression is effective for improving the efficiency of vision-language models, but under extreme compression budgets, token pruning can break visual grounding while learned resamplers increase parameter co…
Visual GroundingViD: Vision-Dominant Gender Bias Mitigation for Large Vision-Language Models
Gender bias in large vision-language models (LVLMs) undermines their fairness and reliability, compromising output trustworthiness. Current mitigation methods rely on training-phase adjustments or post-hoc calibration, b…
Visual GroundingImage CaptioningText GenerationWhat Do Hallucinations Reveal About Multimodal Reasoning? Diagnosing Visual Grounding Failures via Contrastive Decoding Probes
When strong multimodal models are widely available, progress requires new scientific methodologies beyond benchmark scores---using models as instruments for understanding behavior. We address this by asking: can we use l…
Multimodal ReasoningVisual GroundingSAVOR: Self-Aware Visual Grounding via Confidence-Calibrated Reinforcement Learning for Multimodal Hallucination Mitigation
Multimodal large language models (MLLMs) have made strong progress on visual question answering and image captioning, yet they still produce fluent claims about objects, attributes, or relations that are not grounded in …
Visual Question AnsweringReinforcement LearningVisual GroundingImage CaptioningCounterfactual Reasoning for Robust Visual Question Answering
Modern Visual Question Answering (VQA) models often exploit spurious correlations in training data, leading to poor out-of-distribution (OOD) generalization due to language bias. Although counterfactual learning has show…
Visual Question AnsweringContrastive LearningVisual GroundingAmbient @ EgoProactive 2026 : Proactive Egocentric Assistance with Visually Grounded Supervision
We present our submission to the EgoProactive track of the ECCV 2026 Wearable AI Challenge, which ranked first in the large-model division and second in the <=2B division. The task requires a wearable assistant to decide…
Visual GroundingWhere to Look Matters: Learning Influential Views for VLM-based 3D Visual Grounding
Recent zero-shot 3D visual grounding methods leverage vision-language models (VLMs) to localize objects in 3D scenes from natural language queries. However, these methods typically rely on heuristic rules to select which…
Natural Language QueriesVisual GroundingOn the Design Fundamentals of Pixel Text Representation Learning
Text-rich visual inputs require models that can read, retrieve, and compress language directly in pixel space, yet existing pixel-text encoders struggle with fixed resolution pretraining, visual shortcut learning, weak v…
Representation LearningVisual GroundingCost-efficient Active Learning for Referring Image Segmentation and Grounding
Collecting natural-language referring expressions along with region annotations, such as masks or boxes, is a major bottleneck in visual grounding (VG), as annotators must write descriptions that distinguish target regio…
Image SegmentationVisual GroundingActive LearningScienceArena: Benchmarking LLMs on Latest Scientific Olympiad Competitions
Benchmark saturation and data contamination increasingly obscure genuine scientific reasoning in frontier LLMs. We introduce \textsc{ScienceArena}, an olympiad-style benchmark from thirteen public science competitions in…
Visual GroundingVisER: Visual Evidence and Reliance for Object Hallucination Detection in LVLMs
Object hallucination remains a persistent reliability issue in large vision-language models, where generated object mentions may sound plausible but lack visual grounding. Recent training-free detectors use internal sign…
Visual GroundingSeqAlign3DVG: A Sequence-Aligned Benchmark and Voxel Reasoning Framework for 3D Visual Grounding
Image-based 3D visual grounding is critical for embodied agents, yet existing benchmarks suffer from loose text-observation alignment and neglect temporal ordering. We introduce SeqAlign3DVG, a novel benchmark dedicated …
Visual GroundingPoint CloudsSemantic-Spatial Discriminability Enhancement for Generalized Visual Grounding
Generalized Visual Grounding (GVG) task aims to localize targets in an image based on referring expressions, extends the classical visual grounding paradigm by integrating multi-target and non-target scenarios. Previous …
Visual GroundingReactivating Test-Time Scaling for Plane Geometry Problem Solving
Plane geometry problem (PGP) solving has become a critical benchmark for multimodal reasoning because it requires accurate visual perception and precise multi-step symbolic deduction. Although test-time scaling (TTS) has…
Mathematical ReasoningMultimodal ReasoningVisual GroundingGRAFT: Grounded and Efficient Online Reinforcement Adaptation for Fine-Grained Robot Manipulation
Pretrained vision-language-action (VLA) policies provide strong priors for robot manipulation, yet adapting them online to fine-grained biomedical tasks remains challenging. Task success often hinges on subtle, view-depe…
Robot ManipulationVisual GroundingMapping Written Words to Spoken Words in a Different Language Using Only Visual Grounding
In many low-resource settings, even just eliciting speech for data collection is difficult. One promising approach has been to ask speakers to describe images. But how do we build models from such visually grounded speec…
Visual GroundingImage CaptioningKeyword SpottingWhen Seeing Is Not Enough: Benchmarking Interactive Visual Grounding in LVLMs
Visual grounding is typically evaluated as a one-shot mapping from an informative referring expression to a visual target. This formulation misses a central property of real-world reference: initial referring expressions…
Referring ExpressionVisual Grounding