Human Interaction Recognition

Human Interaction Recognition (HIR) is a field of study that involves the development of computer algorithms to detect and recognize human interactions in videos, images, or other multimedia content. The goal of HIR is to automatically identify and analyze the social interactions between people, their body language, and facial expressions.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1–10 of 22 papers

Title	Date	Tasks	Status	Hype
Dynamic Scene Understanding from Vision-Language Representations	Jan 20, 2025	Grounded Situation RecognitionHuman-Human Interaction Recognition	—Unverified	0
OV-HHIR: Open Vocabulary Human Interaction Recognition Using Cross-modal Integration of Large Language Models	Dec 31, 2024	Activity RecognitionHuman Interaction Recognition	—Unverified	0
CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition	Oct 9, 2024	3D Action RecognitionAction Recognition	CodeCode Available	1
Empathic Grounding: Explorations using Multimodal Interaction and Large Language Models with Conversational Agents	Jul 1, 2024	Emotional IntelligenceEmotion Classification	CodeCode Available	0
Exploring Vision Transformers for 3D Human Motion-Language Models with Motion Patches	May 8, 2024	Human Interaction RecognitionTransfer Learning	—Unverified	0
SkateFormer: Skeletal-Temporal Transformer for Human Action Recognition	Mar 14, 2024	Action RecognitionHuman Interaction Recognition	CodeCode Available	2
Learning Mutual Excitation for Hand-to-Hand and Human-to-Human Interaction Recognition	Feb 4, 2024	Action RecognitionHuman Interaction Recognition	CodeCode Available	0
A Two-stream Hybrid CNN-Transformer Network for Skeleton-based Human Interaction Recognition	Dec 31, 2023	Human Interaction RecognitionSpecificity	—Unverified	0
Interactive Spatiotemporal Token Attention Network for Skeleton-based General Interactive Action Recognition	Jul 14, 2023	3D Action RecognitionAction Recognition	CodeCode Available	1
Human-to-Human Interaction Detection	Jul 2, 2023	Action DetectionHuman Interaction Recognition	—Unverified	0

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All datasets NTU RGB+D 120 NTU RGB+D UT BIT EPIC-SOUNDS SBU SBU / SBU-Refine UT-Interaction

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	SkateFormer	Accuracy (Cross-Setup)	93.2	—	Unverified
2	CHASE(CTR-GCN)	Accuracy (Cross-Setup)	92.3	—	Unverified
3	ISTA-Net	Accuracy (Cross-Setup)	91.7	—	Unverified
4	SkeleTR	Accuracy (Cross-Setup)	88.3	—	Unverified
5	IGFormer	Accuracy (Cross-Setup)	86.5	—	Unverified
6	LSTM-IRN	Accuracy (Cross-Setup)	79.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SkateFormer	Accuracy (Cross-Subject)	97.1	—	Unverified
2	CHASE(CTR-GCN)	Accuracy (Cross-Subject)	96.5	—	Unverified
3	SkeleTR	Accuracy (Cross-Subject)	94.9	—	Unverified
4	IGFormer	Accuracy (Cross-Subject)	93.6	—	Unverified
5	LSTM-IRN'fc1inter+intra	Accuracy (Cross-Subject)	90.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	H-LSTCM	Accuracy	98.33	—	Unverified
2	Co-LSTSM	Accuracy	95	—	Unverified
3	Raptis et al.	Accuracy	93.3	—	Unverified
4	Donahue et al.	Accuracy	85	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	H-LSTCM	Accuracy	94.03	—	Unverified
2	Co-LSTSM	Accuracy	92.88	—	Unverified
3	Donahue et al.	Accuracy	80.13	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Slow-Fast(Finetune by Fivewin team)	Top-1 accuracy %	55.11	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LSTM-IRN'fc1inter+intra	Accuracy	98.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	IGFormer	Accuracy	98.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LSTM-IRN'fc1inter+intra	Accuracy (Set 1)	98.3	—	Unverified