Papers Human-Object Interaction Detection
“Human-Object Interaction Detection” 태그가 달린 논문 471편 · 필터 해제
ScriptHOI: Learning Scripted State Transitions for Open-Vocabulary Human-Object Interaction Detection
Open-vocabulary human-object interaction (HOI) detection requires recognizing interaction phrases that may not appear as annotated categories during training. Recent vision-language HOI detectors improve semantic transfe…
Human-Object Interaction DetectionA Study of Failure Modes in Two-Stage Human-Object Interaction Detection
Human-object interaction (HOI) detection aims to detect interactions between humans and objects in images. While recent advances have improved performance on existing benchmarks, their evaluations mainly focus on overall…
Human-Object Interaction DetectionVisual ReasoningMining Instance-Centric Vision-Language Contexts for Human-Object Interaction Detection
Human-Object Interaction (HOI) detection aims to localize human-object pairs and classify their interactions from a single image, a task that demands strong visual understanding and nuanced contextual reasoning. Recent a…
Human-Object Interaction DetectionRegFormer: Transferable Relational Grounding for Efficient Weakly-Supervised Human-Object Interaction Detection
Weakly-supervised Human-Object Interaction (HOI) detection is essential for scalable scene understanding, as it learns interactions from only image-level annotations. Due to the lack of localization signals, prior works …
Human-Object Interaction DetectionScene UnderstandingStreamlined Open-Vocabulary Human-Object Interaction Detection
Open-vocabulary human-object interaction (HOI) detection aims to localize and recognize all human-object interactions in an image, including those unseen during training. Existing approaches usually rely on the collabora…
Human-Object Interaction DetectionENIGMA-360: An Ego-Exo Dataset for Human Behavior Understanding in Industrial Scenarios
Understanding human behavior from complementary egocentric (ego) and exocentric (exo) points of view enables the development of systems that can support workers in industrial environments and enhance their safety. Howeve…
Human-Object Interaction DetectionAction SegmentationGlovEgo-HOI: Bridging the Synthetic-to-Real Gap for Industrial Egocentric Human-Object Interaction Detection
Egocentric Human-Object Interaction (EHOI) analysis is crucial for industrial safety, yet the development of robust models is hindered by the scarcity of annotated domain-specific data. We address this challenge by intro…
Human-Object Interaction DetectionGenerative Human-Object Interaction Detection via Differentiable Cognitive Steering of Multi-modal LLMs
Human-object interaction (HOI) detection aims to localize human-object pairs and the interactions between them. Existing methods operate under a closed-world assumption, treating the task as a classification problem over…
Human-Object Interaction DetectionZero-shot GeneralizationIncremental Human-Object Interaction Detection with Invariant Relation Representation Learning
In open-world environments, human-object interactions (HOIs) evolve continuously, challenging conventional closed-world HOI detection models. Inspired by humans' ability to progressively acquire knowledge, we explore inc…
Human-Object Interaction DetectionRepresentation LearningIncremental LearningVisual Diversity and Region-aware Prompt Learning for Zero-shot HOI Detection
Zero-shot Human-Object Interaction detection aims to localize humans and objects in an image and recognize their interaction, even when specific verb-object pairs are unseen during training. Recent works have shown promi…
Human-Object Interaction DetectionLearning Human-Object Interaction as Groups
Human-Object Interaction Detection (HOI-DET) aims to localize human-object pairs and identify their interactive relationships. To aggregate contextual cues, existing methods typically propagate information across all det…
Human-Object Interaction DetectionSemantic SimilarityHOI-R1: Exploring the Potential of Multimodal Large Language Models for Human-Object Interaction Detection
Recent human-object interaction detection (HOID) methods highly require prior knowledge from vision-language models (VLMs) to enhance the interaction recognition capabilities. The training strategies and model architectu…
Human-Object Interaction DetectionReinforcement LearningLearning Egocentric In-Hand Object Segmentation through Weak Supervision from Human Narrations
Pixel-level recognition of objects manipulated by the user from egocentric images enables key applications spanning assistive technologies, industrial safety, and activity monitoring. However, progress in this area is cu…
Human-Object Interaction DetectionObject SegmentationMultimodal Graph Network Modeling for Human-Object Interaction Detection with PDE Graph Diffusion
Existing GNN-based Human-Object Interaction (HOI) detection methods rely on simple MLPs to fuse instance features and propagate information. However, this mechanism is largely empirical and lack of targeted information p…
Human-Object Interaction DetectionContextualized Representation Learning for Effective Human-Object Interaction Detection
Human-Object Interaction (HOI) detection aims to simultaneously localize human-object pairs and recognize their interactions. While recent two-stage approaches have made significant progress, they still face challenges d…
Human-Object Interaction DetectionRepresentation LearningNo More Sibling Rivalry: Debiasing Human-Object Interaction Detection
Detection transformers have been applied to human-object interaction (HOI) detection, enhancing the localization and recognition of human-action-object triplets in images. Despite remarkable progress, this study identifi…
Human-Object Interaction DetectionSpatial-Temporal Human-Object Interaction Detection
In this paper, we propose a new instance-level human-object interaction detection task on videos called ST-HOID, which aims to distinguish fine-grained human-object interactions (HOIs) and the trajectories of subjects an…
Human-Object Interaction DetectionVideo Visual Relation DetectionHOID-R1: Reinforcement Learning for Open-World Human-Object Interaction Detection Reasoning with Multimodal Large Language Model
Understanding and recognizing human-object interaction (HOI) is a pivotal application in AR/VR and robotics. Recent open-vocabulary HOI detection approaches depend exclusively on large language models for richer textual …
Human-Object Interaction DetectionReinforcement LearningQueryCraft: Transformer-Guided Query Initialization for Enhanced Human-Object Interaction Detection
Human-Object Interaction (HOI) detection aims to localize human-object pairs and recognize their interactions in images. Although DETR-based methods have recently emerged as the mainstream framework for HOI detection, th…
Human-Object Interaction DetectionDynamic Scoring with Enhanced Semantics for Training-Free Human-Object Interaction Detection
Human-Object Interaction (HOI) detection aims to identify humans and objects within images and interpret their interactions. Existing HOI methods rely heavily on large datasets with manual annotations to learn interactio…
Human-Object Interaction Detection