Papers Relational Reasoning
“Relational Reasoning” 태그가 달린 논문 604편 · 필터 해제
Let the Heads Talk: Beyond Diagonal Graph Attention
Sheaf Neural Networks generalize scalar-weighted message passing by replacing scalar edge weights with linear transport maps between local feature spaces. Yet the role of this matrix-valued transport is entangled with th…
Relational ReasoningNode ClassificationGraph LearningDo Medical Vision Models Reason About Anatomy? Probing the Spatial Inductive Biases of Learned Visual Representations
Interpreting a CT scan means comparing structures on either side, judging how far apart organs sit, and knowing where each one belongs. Medical vision encoders are evaluated on diagnostic accuracy, or through assembled m…
Relational ReasoningInvestigating Relational Reasoning in VLMs
Vision-Language Models (VLMs) achieve strong performance in visual reasoning tasks, but it remains unclear whether they understand visual relations, or simply employ shortcuts such as language cues or priors. To investig…
Relational ReasoningVisual ReasoningModeling Scientific Experiment Scenes: Dataset and Model
Scene Graph Generation (SGG) is fundamental to structured visual understanding, yet existing benchmarks focus mainly on daily life images and overlook scientific experiment scenes with specialized instruments, task-speci…
Scene Graph GenerationRelational ReasoningMultimodal Large Language Models for Remote Sensing Image Understanding: Domain-Specific or General-Purpose?
The rapid development of multimodal large language models (MLLMs) has introduced a flexible paradigm for remote sensing image scene understanding (RSISU), enabling natural-language interaction with remote sensing imagery…
Visual Question AnsweringRelational ReasoningScene UnderstandingVisual GroundingTask-Specific Multimodal Question Answering Agents via Confidence Calibration and Incremental Reasoning for QANTA 2026
We present our submission to the QANTA 2026 shared challenge at the ICML 2026 Workshop on Efficient Multimodal Question Answering (EMM-QA). Quanta evaluates multimodal quizbowl systems that answer pyramid-style questions…
Relational ReasoningQuestion AnsweringAnswer SelectionSGF-CDNet: A Consistency-Discrepancy Graph Network over Semantic-Geometric Fused Nodes for Face Forgery Detection
The rapid advancement of deepfakes necessitates robust face forgery detection. Although forged faces may lack obvious artifacts, they often contain subtle disharmony among different facial regions. We propose SGF-CDNet, …
Relational ReasoningFace ParsingTemporal and Cross-Modal Alignment for Enhanced Audiovisual Video Captioning
While Multimodal Large Language Models (MLLMs) have advanced video understanding, achieving precise temporal and cross-modal alignment in audiovisual video captioning remains a formidable challenge. Most existing approac…
Relational ReasoningVideo CaptioningOP3DSG: Open-Vocabulary Part-Aware 3D Scene Graph Generation for Real-World Environments
3D scene graphs (3DSGs) provide a compact and structured abstraction of 3D environments. Although advances in foundation models have enabled open-vocabulary 3DSG generation, existing approaches remain object-centric and …
Scene Graph GenerationRelational ReasoningSTAG: Spatio-temporal Evolving Structural Representation of Action Units for Micro-expression Recognition
Micro-expression recognition is challenging due to subtle and short-lived facial muscle movements. Existing methods rely heavily on apex-onset frames, overlook fine-grained inter-frame dynamics, and separately model spat…
Micro-Expression RecognitionComputational EfficiencyRelational ReasoningSpatial ReasoningProject Auto-World: Towards Automated Benchmarking of Neural Relational Reasoners
Reasoning about relational structures remains a significant challenge for neural models, particularly when they must systematically apply learned knowledge to problem instances that are harder than those seen in training…
Relational ReasoningHPP: Hierarchical Programmatic Probing for Long Video Understanding by Decoupling Perception and Reasoning
Understanding long videos requires fine-grained perception and multi-step, higher-order reasoning over complex, long-range spatio-temporal dynamics. Vision-language models (VLMs) encode video frames into visual tokens an…
Relational ReasoningSemantic RetrievalNeuro-Relational Programs: Unifying Queries and Neural Computation over Structured Data
The conventional approach to deep learning over relational databases applies neural models, such as Graph Neural Networks (GNNs), to a graph representation of the database. Recent approaches instead operate on databases …
Relational ReasoningPhysScene: A Scene Graph Dataset for Scientific Visual Reasoning in Physics Experiments
Scene Graphs (SGs) provide structured representations of visual scenes by modeling objects and their pairwise relationships. Despite recent progress, existing datasets primarily focus on generic natural contexts, leaving…
Relational ReasoningVisual ReasoningScene ParsingWhat Makes a Desired Graph for Relational Deep Learning?
Relational deep learning (RDL) converts relational databases (RDBs) into heterogeneous graphs, but graphs derived directly from database schemas are often not well suited for how graph neural networks (GNNs) perform rela…
Relational ReasoningAnswer Self-Consistency with Margin-Triggered Question Re-Arbitration for the CVPR 2026 VidLLMs Challenge
In this report, we present our solution for Track 2 of the CVPR 2026 VidLLMs Challenge. This track evaluates visual relational reasoning in videos, where models must infer relations that are not always explicitly visible…
Relational ReasoningMultimodal ReasoningQPredSGG: Hybrid Quantum Predicate Learning for Long-Tailed Scene Graph Generation
Scene Graph Generation (SGG) requires relational reasoning over objects and their interactions, but performance is often limited by severe long-tail predicate imbalance. Classical SGG models frequently rely on dataset st…
Scene Graph GenerationRelational ReasoningVisual ReasoningMemoGen: Can Past Experience Improve Future Text-to-Image Generation?
Modern text-to-image models have achieved strong visual synthesis, yet remain unreliable when prompts require implicit visual constraints, relational reasoning, or external knowledge. Existing retrieval-augmented and age…
Text-to-Image GenerationRelational ReasoningContinual LearningIntra-Modal Neighbors Never Lie: Rectifying Inter-Modal Noisy Correspondence via Graph-Based Intra-Modal Reasoning
Large-scale web-harvested datasets have fueled the progress of cross-modal retrieval but inevitably suffer from noisy correspondence, which severely degrades model generalization. Existing methods primarily address this …
Cross-Modal RetrievalRelational ReasoningGridVQA-X: A Framework for Evaluating Multimodal Explainability Methods
With the increasing development of Vision-Language Models, it becomes imperative that their predictions are readily explainable to relevant stakeholders. However, the field of explainability has not kept pace with the mu…
Relational Reasoning