Cover Image

Learning with Category-Equivariant Architectures for Human Activity Recognition

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Maruyama, Yoshihiro
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Human-Computer Interaction Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning with Category-Equivariant Representations for Human Activity Recognition
by: Maruyama, Yoshihiro
Published: (2025)

Categorical Equivariant Deep Learning: Category-Equivariant Neural Networks and Universal Approximation Theorems
by: Maruyama, Yoshihiro
Published: (2025)

Deep Generative Domain Adaptation with Temporal Attention for Cross-User Activity Recognition
by: Ye, Xiaozhou, et al.
Published: (2024)

Object Recognition in Human Computer Interaction:- A Comparative Analysis
by: Ranade, Kaushik, et al.
Published: (2024)

Deep Generative Domain Adaptation with Temporal Relation Knowledge for Cross-User Activity Recognition
by: Ye, Xiaozhou, et al.
Published: (2024)

MNIST-Gen: A Modular MNIST-Style Dataset Generation Using Hierarchical Semantics, Reinforcement Learning, and Category Theory
by: Shaeri, Pouya, et al.
Published: (2025)

C3T: Cross-modal Transfer Through Time for Sensor-based Human Activity Recognition
by: Kamboj, Abhi, et al.
Published: (2024)

Deep Learning Based Approach to Enhanced Recognition of Emotions and Behavioral Patterns of Autistic Children
by: R, Nelaka K. A., et al.
Published: (2025)

HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning
by: Hiranaka, Ayano, et al.
Published: (2024)

Triple Spectral Fusion for Sensor-based Human Activity Recognition
by: Zhang, Ye, et al.
Published: (2026)

Evaluating Visual Prompts with Eye-Tracking Data for MLLM-Based Human Activity Recognition
by: Choi, Jae Young, et al.
Published: (2026)

Fusing Forces: Deep-Human-Guided Refinement of Segmentation Masks
by: Sterzinger, Rafael, et al.
Published: (2024)

Bridging Human Concepts and Computer Vision for Explainable Face Verification
by: Doh, Miriam, et al.
Published: (2024)

BdSLW401: Transformer-Based Word-Level Bangla Sign Language Recognition Using Relative Quantization Encoding (RQE)
by: Rubaiyeat, Husne Ara, et al.
Published: (2025)

On the Interpretability of Part-Prototype Based Classifiers: A Human Centric Analysis
by: Davoodi, Omid, et al.
Published: (2023)

Dodgersort: Uncertainty-Aware VLM-Guided Human-in-the-Loop Pairwise Ranking
by: Park, Yujin, et al.
Published: (2026)

SpiderNets: Vision Models Predict Human Fear From Aversive Images
by: Pegler, Dominik, et al.
Published: (2025)

ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations
by: Vodrahalli, Kailas, et al.
Published: (2023)

Human-Agent Joint Learning for Efficient Robot Manipulation Skill Acquisition
by: Luo, Shengcheng, et al.
Published: (2024)

HAPI: A Model for Learning Robot Facial Expressions from Human Preferences
by: Yang, Dongsheng, et al.
Published: (2025)

Beyond One-Size-Fits-All: A Survey of Personalized Affective Computing in Human-Agent Interaction
by: Li, Jialin, et al.
Published: (2023)

Temporal Structure Matters for Efficient Test-Time Adaptation in Wearable Human Activity Recognition
by: Zhou, Zishu, et al.
Published: (2026)

Human-like visual computing advances explainability and few-shot learning in deep neural networks for complex physiological data
by: Alahmadi, Alaa, et al.
Published: (2025)

Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition
by: Xie, Haoyu, et al.
Published: (2025)

A Study of Acquisition Functions for Medical Imaging Deep Active Learning
by: Dossou, Bonaventure F. P.
Published: (2024)

EyeFormer: Predicting Personalized Scanpaths with Transformer-Guided Reinforcement Learning
by: Jiang, Yue, et al.
Published: (2024)

PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation
by: Chatterjee, Soumick, et al.
Published: (2023)

Looking for a better fit? An Incremental Learning Multimodal Object Referencing Framework adapting to Individual Drivers
by: Gomaa, Amr, et al.
Published: (2024)

Using Game Engines and Machine Learning to Create Synthetic Satellite Imagery for a Tabletop Verification Exercise
by: Hoster, Johannes, et al.
Published: (2024)

Generating Synthetic Satellite Imagery With Deep-Learning Text-to-Image Models -- Technical Challenges and Implications for Monitoring and Verification
by: Nguyen, Tuong Vy, et al.
Published: (2024)

Summary of the Unusual Activity Recognition Challenge for Developmental Disability Support
by: Garcia, Christina, et al.
Published: (2026)

Monocular 3D Object Position Estimation with VLMs for Human-Robot Interaction
by: Wahl, Ari, et al.
Published: (2026)

Sketch2Colab: Sketch-Conditioned Multi-Human Animation via Controllable Flow Distillation
by: Daiya, Divyanshu, et al.
Published: (2026)

HIVE: Harnessing Human Feedback for Instructional Visual Editing
by: Zhang, Shu, et al.
Published: (2023)

ShelfHelp: Empowering Humans to Perform Vision-Independent Manipulation Tasks with a Socially Assistive Robotic Cane
by: Agrawal, Shivendra, et al.
Published: (2024)

Continuous Human Action Recognition for Human-Machine Interaction: A Review
by: Gammulle, Harshala, et al.
Published: (2022)

How Good is ChatGPT at Audiovisual Deepfake Detection: A Comparative Study of ChatGPT, AI Models and Human Perception
by: Shahzad, Sahibzada Adil, et al.
Published: (2024)

Human-like object concept representations emerge naturally in multimodal large language models
by: Du, Changde, et al.
Published: (2024)

Evaluation in EEG Emotion Recognition: State-of-the-Art Review and Unified Framework
by: Kukhilava, Natia, et al.
Published: (2025)

VCHAR:Variance-Driven Complex Human Activity Recognition framework with Generative Representation
by: Sun, Yuan, et al.
Published: (2024)