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	Score
SkateFormer: Skeletal-Temporal Transformer for Human Action Recognition	Mar 14, 2024	Action RecognitionHuman Interaction Recognition	CodeCode Available	2	5
CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition	Oct 9, 2024	3D Action RecognitionAction Recognition	CodeCode Available	1	5
Interactive Spatiotemporal Token Attention Network for Skeleton-based General Interactive Action Recognition	Jul 14, 2023	3D Action RecognitionAction Recognition	CodeCode Available	1	5
Slow-Fast Auditory Streams For Audio Recognition	Mar 5, 2021	Audio ClassificationHuman Interaction Recognition	CodeCode Available	1	5
Empathic Grounding: Explorations using Multimodal Interaction and Large Language Models with Conversational Agents	Jul 1, 2024	Emotional IntelligenceEmotion Classification	CodeCode Available	0	5
Interaction Relational Network for Mutual Action Recognition	Oct 11, 2019	Action RecognitionHuman Interaction Recognition	CodeCode Available	0	5
Learning Mutual Excitation for Hand-to-Hand and Human-to-Human Interaction Recognition	Feb 4, 2024	Action RecognitionHuman Interaction Recognition	CodeCode Available	0	5
Two-person Graph Convolutional Network for Skeleton-based Human Interaction Recognition	Aug 12, 2022	Action ClassificationAction Recognition	CodeCode Available	0	5
Exploring Vision Transformers for 3D Human Motion-Language Models with Motion Patches	May 8, 2024	Human Interaction RecognitionTransfer Learning	—Unverified	0	0
Human Interaction Recognition Framework based on Interacting Body Part Attention	Jan 22, 2021	Activity RecognitionActivity Recognition In Videos	—Unverified	0	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