Papers Human Interaction Recognition
“Human Interaction Recognition” 태그가 달린 논문 23편 · 필터 해제
Learning Adaptive Node Selection with External Attention for Human Interaction Recognition
Most GCN-based methods model interacting individuals as independent graphs, neglecting their inherent inter-dependencies. Although recent approaches utilize predefined interaction adjacency matrices to integrate particip…
Human Interaction RecognitionDynamic Scene Understanding from Vision-Language Representations
Images depicting complex, dynamic scenes are challenging to parse automatically, requiring both high-level comprehension of the overall situation and fine-grained identification of participating entities and their intera…
Grounded Situation RecognitionHuman-Human Interaction RecognitionHuman Interaction RecognitionHuman-Object Interaction Detection+2OV-HHIR: Open Vocabulary Human Interaction Recognition Using Cross-modal Integration of Large Language Models
Understanding human-to-human interactions, especially in contexts like public security surveillance, is critical for monitoring and maintaining safety. Traditional activity recognition systems are limited by fixed vocabu…
Activity RecognitionHuman Interaction RecognitionVideo UnderstandingCHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition
Skeleton-based multi-entity action recognition is a challenging task aiming to identify interactive actions or group activities involving multiple diverse entities. Existing models for individuals often fall short in thi…
3D Action RecognitionAction RecognitionGroup Activity RecognitionHuman Interaction Recognition+1Empathic Grounding: Explorations using Multimodal Interaction and Large Language Models with Conversational Agents
We introduce the concept of "empathic grounding" in conversational agents as an extension of Clark's conceptualization of grounding in conversation in which the grounding criterion includes listener empathy for the speak…
Emotional IntelligenceEmotion ClassificationHuman Interaction RecognitionLanguage Modelling+4Exploring Vision Transformers for 3D Human Motion-Language Models with Motion Patches
To build a cross-modal latent space between 3D human motion and language, acquiring large-scale and high-quality human motion data is crucial. However, unlike the abundance of image data, the scarcity of motion data has …
Human Interaction RecognitionTransfer LearningSkateFormer: Skeletal-Temporal Transformer for Human Action Recognition
Skeleton-based action recognition, which classifies human actions based on the coordinates of joints and their connectivity within skeleton data, is widely utilized in various scenarios. While Graph Convolutional Network…
Action RecognitionHuman Interaction RecognitionSkeleton Based Action RecognitionLearning Mutual Excitation for Hand-to-Hand and Human-to-Human Interaction Recognition
Recognizing interactive actions, including hand-to-hand interaction and human-to-human interaction, has attracted increasing attention for various applications in the field of video analysis and human-robot interaction. …
Action RecognitionHuman Interaction RecognitionA Two-stream Hybrid CNN-Transformer Network for Skeleton-based Human Interaction Recognition
Human Interaction Recognition is the process of identifying interactive actions between multiple participants in a specific situation. The aim is to recognise the action interactions between multiple entities and their m…
Human Interaction RecognitionSpecificityInteractive Spatiotemporal Token Attention Network for Skeleton-based General Interactive Action Recognition
Recognizing interactive action plays an important role in human-robot interaction and collaboration. Previous methods use late fusion and co-attention mechanism to capture interactive relations, which have limited learni…
3D Action RecognitionAction RecognitionHuman Interaction RecognitionSkeleton Based Action RecognitionHuman-to-Human Interaction Detection
A comprehensive understanding of interested human-to-human interactions in video streams, such as queuing, handshaking, fighting and chasing, is of immense importance to the surveillance of public security in regions lik…
Action DetectionHuman Interaction RecognitionWiFi-TCN: Temporal Convolution for Human Interaction Recognition based on WiFi signal
The utilization of Wi-Fi based human activity recognition has gained considerable interest in recent times, primarily owing to its applications in various domains such as healthcare for monitoring breath and heart rate, …
Activity RecognitionHuman Activity RecognitionHuman Interaction RecognitionSkeleTR: Towards Skeleton-based Action Recognition in the Wild
We present SkeleTR, a new framework for skeleton-based action recognition. In contrast to prior work, which focuses mainly on controlled environments, we target in-the-wild scenarios that typically involve a variable…
Action ClassificationAction DetectionAction RecognitionActivity Recognition+3Two-person Graph Convolutional Network for Skeleton-based Human Interaction Recognition
Graph convolutional networks (GCNs) have been the predominant methods in skeleton-based human action recognition, including human-human interaction recognition. However, when dealing with interaction sequences, current G…
Action ClassificationAction RecognitionHuman-Human Interaction RecognitionHuman Interaction Recognition+2IGFormer: Interaction Graph Transformer for Skeleton-based Human Interaction Recognition
Human interaction recognition is very important in many applications. One crucial cue in recognizing an interaction is the interactive body parts. In this work, we propose a novel Interaction Graph Transformer (IGFormer)…
Human Interaction RecognitionA Prospective Approach for Human-to-Human Interaction Recognition from Wi-Fi Channel Data using Attention Bidirectional Gated Recurrent Neural Network with GUI Application Implementation
Human Activity Recognition (HAR) research has gained significant momentum due to recent technological advancements, artificial intelligence algorithms, the need for smart cities, and socioeconomic transformation. However…
Activity RecognitionHuman Activity RecognitionHuman Interaction RecognitionTime Series AnalysisSlow-Fast Auditory Streams For Audio Recognition
We propose a two-stream convolutional network for audio recognition, that operates on time-frequency spectrogram inputs. Following similar success in visual recognition, we learn Slow-Fast auditory streams with separable…
Audio ClassificationHuman Interaction RecognitionHuman Interaction Recognition Framework based on Interacting Body Part Attention
Human activity recognition in videos has been widely studied and has recently gained significant advances with deep learning approaches; however, it remains a challenging task. In this paper, we propose a novel framework…
Activity RecognitionActivity Recognition In VideosHuman Activity RecognitionHuman Interaction RecognitionThree-Stream Fusion Network for First-Person Interaction Recognition
First-person interaction recognition is a challenging task because of unstable video conditions resulting from the camera wearer's movement. For human interaction recognition from a first-person viewpoint, this paper pro…
Activity RecognitionHuman Interaction RecognitionInteraction Relational Network for Mutual Action Recognition
Person-person mutual action recognition (also referred to as interaction recognition) is an important research branch of human activity analysis. Current solutions in the field -- mainly dominated by CNNs, GCNs and LSTMs…
Action RecognitionHuman Interaction RecognitionRelational Reasoning