On the public citation graph

Deep Learning for Surface Material Classification Using Haptic and Visual Information

https://doi.org/10.1109/tmm.2016.2598140

0 signed · 175 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-10590-1_53openalex-snapshot

Visualizing and Understanding Convolutional Networks

inferredcites →https://doi.org/10.1007/978-3-540-24673-2_21openalex-snapshot

On the Significance of Real-World Conditions for Material Classification

inferredcites →https://doi.org/10.1007/978-3-642-14075-4_12openalex-snapshot

Dimensional Reduction of High-Frequency Accelerations for Haptic Rendering

inferredcites →https://doi.org/10.1016/j.neucom.2015.07.071openalex-snapshot

Dynamic texture and scene classification by transferring deep image features

inferredcites →https://doi.org/10.1016/j.patrec.2016.08.016openalex-snapshot

Using filter banks in Convolutional Neural Networks for texture classification

inferredcites →https://doi.org/10.1109/cvpr.2003.1211534openalex-snapshot

Texture classification: are filter banks necessary?

inferredcites →https://doi.org/10.1109/cvpr.2014.222openalex-snapshot

Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks

inferredcites →https://doi.org/10.1109/cvpr.2014.81openalex-snapshot

Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot

Going deeper with convolutions

inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-snapshot

Fully convolutional networks for semantic segmentation

inferredcites →https://doi.org/10.1109/cvpr.2015.7299007openalex-snapshot

Deep filter banks for texture recognition and segmentation

inferredcites →https://doi.org/10.1109/haptics.2014.6775432openalex-snapshot

Methods for robotic tool-mediated haptic surface recognition

inferredcites →https://doi.org/10.1109/have.2014.6954342openalex-snapshot

A haptic texture database for tool-mediated texture recognition and classification

inferredcites →https://doi.org/10.1109/i3cs58314.2023.10127554openalex-snapshot

Music Genre Classification Using Convolutional Neural Network

inferredcites →https://doi.org/10.1109/icassp.2012.6288864openalex-snapshot

Applying Convolutional Neural Networks concepts to hybrid NN-HMM model for speech recognition

inferredcites →https://doi.org/10.1109/icassp.2013.6639347openalex-snapshot

Deep convolutional neural networks for LVCSR

inferredcites →https://doi.org/10.1109/icassp.2014.6854953openalex-snapshot

Improved musical onset detection with Convolutional Neural Networks

inferredcites →https://doi.org/10.1109/icra.2016.7487176openalex-snapshot

Deep learning for tactile understanding from visual and haptic data

inferredcites →https://doi.org/10.1109/lsp.2014.2325781openalex-snapshot

Convolutional Neural Networks for Distant Speech Recognition

inferredcites →https://doi.org/10.1109/taslp.2014.2339736openalex-snapshot

Convolutional Neural Networks for Speech Recognition

inferredcites →https://doi.org/10.1109/tencon.2006.343944openalex-snapshot

Texture Classification using Convolutional Neural Networks

inferredcites →https://doi.org/10.1109/tmm.2015.2476655openalex-snapshot

Large-Margin Multi-Modal Deep Learning for RGB-D Object Recognition

inferredcites →https://doi.org/10.1109/tmm.2015.2476660openalex-snapshot

RGB-D Object Recognition via Incorporating Latent Data Structure and Prior Knowledge

inferredcites →https://doi.org/10.1109/tmm.2015.2477040openalex-snapshot

Rating Image Aesthetics Using Deep Learning

inferredcites →https://doi.org/10.1109/tmm.2015.2478068openalex-snapshot

Deep Learning and Music Adversaries

inferredcites →https://doi.org/10.1109/tmm.2015.2483370openalex-snapshot

Predicting Eye Fixations on Webpage With an Ensemble of Early Features and High-Level Representations from Deep Network

inferredcites →https://doi.org/10.1109/toh.2011.38openalex-snapshot

Creating Realistic Virtual Textures from Contact Acceleration Data

inferredcites →https://doi.org/10.1109/tpami.2002.1017623openalex-snapshot

Multiresolution gray-scale and rotation invariant texture classification with local binary patterns

inferredcites →https://doi.org/10.1109/tpami.2011.145openalex-snapshot

Texture Classification from Random Features

inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

inferredcites →https://doi.org/10.1109/whc.2013.6548424openalex-snapshot

Generating haptic texture models from unconstrained tool-surface interactions

inferredcites →https://doi.org/10.1109/whc.2015.7177716openalex-snapshot

Surface classification using acceleration signals recorded during human freehand movement

inferredcites →https://doi.org/10.1145/2647868.2654889openalex-snapshot

Caffe

inferredcites →https://doi.org/10.1145/2683405.2683414openalex-snapshot

High-Order MGRF Models for Contrast/Offset Invariant Texture Retrieval

inferredcites →https://doi.org/10.1145/3065386openalex-snapshot

ImageNet classification with deep convolutional neural networks

inferredcites →https://doi.org/10.13140/rg.2.1.5022.3203openalex-snapshot

An analysis of deep neural networks for texture classification

inferredcites →https://doi.org/10.21437/interspeech.2013-744openalex-snapshot

Exploring convolutional neural network structures and optimization techniques for speech recognition

inferredcites →https://doi.org/10.3389/fnbot.2012.00004openalex-snapshot

Bayesian Exploration for Intelligent Identification of Textures

inferredcites →https://doi.org/10.4230/oasics.dx.2026.15openalex-snapshot

AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)

inferredcites →https://doi.org/10.48550/arxiv.1307.1493openalex-snapshot

Dropout Training as Adaptive Regularization

inferredcites →https://doi.org/10.48550/arxiv.1310.1531openalex-snapshot

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot

Very Deep Convolutional Networks for Large-Scale Image Recognition

inferredcites →https://doi.org/10.48550/arxiv.1409.4842openalex-snapshot

Going Deeper with Convolutions

inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot

Adam: A Method for Stochastic Optimization

inferredcites →https://doi.org/10.5566/ias.v23.p63-72openalex-snapshot

GENERALIZATION OF THE COOCCURRENCE MATRIX FOR COLOUR IMAGES: APPLICATION TO COLOUR TEXTURE CLASSIFICATION

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.3355272openalex-extracted

Deep Learning - An Emerging Paradigm

inferred← citeshttps://doi.org/10.1002/adts.202401311openalex-snapshot

Enhancing Prediction Performance and Generalizing for Transverse Behavior of Unidirectional Composites via Strategic Input Feature Augmentation

inferred← citeshttps://doi.org/10.1002/advs.202002362openalex-snapshot

Tactile Avatar: Tactile Sensing System Mimicking Human Tactile Cognition

inferred← citeshttps://doi.org/10.1002/cpe.4908openalex-snapshot

Machine learning–based haptic‐enabled surgical navigation with security awareness

inferred← citeshttps://doi.org/10.1007/978-3-031-18907-4_49openalex-snapshot

Adaptive Open Set Recognition with Multi-modal Joint Metric Learning

inferred← citeshttps://doi.org/10.1007/978-3-031-27166-3_9openalex-snapshot

Augmented/Virtual Reality and Artificial Intelligence in Dental Education and Research

inferred← citeshttps://doi.org/10.1007/978-3-031-82475-3_22openalex-snapshot

Surveying Sidewalk Materials For and By Individuals Who Are Blind or Have Low Vision: Audio Data Collection and Classification

inferred← citeshttps://doi.org/10.1007/978-3-319-70093-9_33openalex-snapshot

A Deep Learning-Based Model for Tactile Understanding on Haptic Data Percutaneous Needle Treatment

inferred← citeshttps://doi.org/10.1007/978-981-10-6171-4_1openalex-snapshot

Introduction

inferred← citeshttps://doi.org/10.1007/978-981-16-3246-4_5openalex-snapshot

Surface Material Classification Using Acceleration Signal

inferred← citeshttps://doi.org/10.1007/978-981-19-2130-8_40openalex-snapshot

A Novel Approach to Improve the Performance of a Classifier Using Visual and Haptic Data

inferred← citeshttps://doi.org/10.1007/978-981-99-2322-9_13openalex-snapshot

An Ensemble Multimodal Fusion Using Naive Bayes Approach for Haptic Identification of Objects

inferred← citeshttps://doi.org/10.1007/978-981-99-9704-6_27openalex-snapshot

Kullback–Leibler Divergence-Based Feature Selection Method for Image Texture Classification

inferred← citeshttps://doi.org/10.1007/s00138-025-01714-8openalex-snapshot

Surface multi-spectral reflectivity and texture material recognition in non-constrained environments

inferred← citeshttps://doi.org/10.1007/s00521-019-04476-3openalex-snapshot

Audiovisual cross-modal material surface retrieval

inferred← citeshttps://doi.org/10.1007/s10489-022-03181-4openalex-snapshot

Deep multi-model fusion network based real object tactile understanding from haptic data

inferred← citeshttps://doi.org/10.1007/s11227-024-06368-3openalex-snapshot

A taxonomy of unsupervised feature selection methods including their pros, cons, and challenges

inferred← citeshttps://doi.org/10.1007/s11432-023-3924-xopenalex-snapshot

Logit prototype learning with active multimodal representation for robust open-set recognition

inferred← citeshttps://doi.org/10.1007/s11837-022-05384-zopenalex-snapshot

Recognition of Carbon Content of Pr-Nd Alloys Based on Mel-Frequency Cepstrum Coefficient of Force Signals

inferred← citeshttps://doi.org/10.1007/s12559-018-9571-zopenalex-snapshot

Surface Material Recognition Using Active Multi-modal Extreme Learning Machine

inferred← citeshttps://doi.org/10.1007/s13042-017-0736-yopenalex-snapshot

Haptic recognition using hierarchical extreme learning machine with local-receptive-field

inferred← citeshttps://doi.org/10.1016/j.aej.2024.06.083openalex-snapshot

Material classification via embedded RF antenna array and machine learning for intelligent mobile robots

inferred← citeshttps://doi.org/10.1016/j.array.2026.100913openalex-snapshot

Deep learning-based material classification for waste management using acoustic spectrograms

inferred← citeshttps://doi.org/10.1016/j.commatsci.2020.109850openalex-snapshot

Three-dimensional convolutional neural network (3D-CNN) for heterogeneous material homogenization

inferred← citeshttps://doi.org/10.1016/j.compag.2024.108619openalex-snapshot

Weed density evaluation using KCCA-CFBLS based on fusion of visual and tactile features in special paddy field environment

inferred← citeshttps://doi.org/10.1016/j.compositesb.2021.109314openalex-snapshot

Prediction and validation of the transverse mechanical behavior of unidirectional composites considering interfacial debonding through convolutional neural networks

inferred← citeshttps://doi.org/10.1016/j.dcan.2022.10.009openalex-snapshot

Multimodal fusion recognition for digital twin

inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111986openalex-snapshot

Visual-tactile fusion learning for material recognition based on channel switching and dual cross-attention

inferred← citeshttps://doi.org/10.1016/j.engappai.2026.114579openalex-snapshot

Visual–haptic attention fusion based flexible printed circuit position identification in industrial robotic mobile phone assembly

inferred← citeshttps://doi.org/10.1016/j.ijhcs.2025.103500openalex-snapshot

Low-delay haptic texture display method based on user action information and texture image

inferred← citeshttps://doi.org/10.1016/j.image.2025.117338openalex-snapshot

Signal processing for haptic surface modeling: A review

inferred← citeshttps://doi.org/10.1016/j.inffus.2022.11.032openalex-snapshot

Fusion of tactile and visual information in deep learning models for object recognition

inferred← citeshttps://doi.org/10.1016/j.matpr.2020.03.332openalex-snapshot

An intelligent computing system to detect material

inferred← citeshttps://doi.org/10.1016/j.measurement.2026.122525openalex-snapshot

Target label-based semi-supervised generative adversarial networks for texture recognition

inferred← citeshttps://doi.org/10.1016/j.patcog.2025.111448openalex-snapshot

Transformer-based material recognition via short-time contact sensing

inferred← citeshttps://doi.org/10.1016/j.patter.2024.100964openalex-snapshot

Incorporating simulated spatial context information improves the effectiveness of contrastive learning models

inferred← citeshttps://doi.org/10.1016/j.robot.2025.105234openalex-snapshot

Multisensory mastery: Unleashing the power of vision and touch for contact-rich task learning

inferred← citeshttps://doi.org/10.1016/j.sna.2019.02.032openalex-snapshot

Using a convolutional neural network to construct a pen-type tactile sensor system for roughness recognition

inferred← citeshttps://doi.org/10.1016/j.triboint.2023.109113openalex-snapshot

Tactile simulation of textile fabrics: Design of simulation signals with regard to fingerprint

inferred← citeshttps://doi.org/10.1021/acsami.4c03675openalex-snapshot

Deep Learning Model for Cosmetic Gel Classification Based on a Short-Time Fourier Transform and Spectrogram

inferred← citeshttps://doi.org/10.1038/s41597-025-04670-0openalex-snapshot

Tactile, Audio, and Visual Dataset During Bare Finger Interaction with Textured Surfaces

inferred← citeshttps://doi.org/10.1038/s41598-019-50247-4openalex-snapshot

Transparent and Flexible Mayan-Pyramid-based Pressure Sensor using Facile-Transferred Indium tin Oxide for Bimodal Sensor Applications

inferred← citeshttps://doi.org/10.1038/s44460-026-00061-zopenalex-snapshot

Advanced sensors for immersive multisensory communication

inferred← citeshttps://doi.org/10.1049/ccs2.12004openalex-snapshot

Multi‐modal broad learning for material recognition

inferred← citeshttps://doi.org/10.1063/5.0156080openalex-snapshot

From the visibility graph (VG) to a complementary visibility graph (CVG) and an image complementary visibility graph (ICVG): Algorithms and applications

inferred← citeshttps://doi.org/10.1080/00224065.2023.2260018openalex-snapshot

Spatial modeling and monitoring considering long-range dependence

inferred← citeshttps://doi.org/10.1080/00405000.2020.1757296openalex-snapshot

Fabric surface characterization: assessment of deep learning-based texture representations using a challenging dataset

inferred← citeshttps://doi.org/10.1080/17686733.2018.1539895openalex-snapshot

Material classification with laser thermography and machine learning

inferred← citeshttps://doi.org/10.1088/2631-8695/ae73e6openalex-snapshot

Counterfactual thinking in networks: towards explainable visuo-tactile fusion via graph convolution and causal attention

inferred← citeshttps://doi.org/10.1108/ir-09-2018-0179openalex-snapshot

Online weakly paired similarity learning for surface material retrieval

inferred← citeshttps://doi.org/10.1109/access.2025.3585067openalex-snapshot

Quantifying Haptic Affection of Car Door Through Data-Driven Analysis of Force Profile

inferred← citeshttps://doi.org/10.1109/cacre58689.2023.10208290openalex-snapshot

Surface Material Classification of Robot Perception Using Trimodal Information with Multiloss Ensemble

inferred← citeshttps://doi.org/10.1109/case56687.2023.10260360openalex-snapshot

HapNet: A Learning-Based Haptic-Kinematic Model for Surface Material Classification in Robot Perception

inferred← citeshttps://doi.org/10.1109/crv60082.2023.00033openalex-snapshot

Living in a Material World: Learning Material Properties from Full-Waveform Flash Lidar Data for Semantic Segmentation

inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.01473openalex-snapshot

DPF: Learning Dense Prediction Fields with Weak Supervision

inferred← citeshttps://doi.org/10.1109/cw64301.2024.00054openalex-snapshot

Classification of Human Tactile Perception Using Vibration Data

inferred← citeshttps://doi.org/10.1109/haptics52432.2022.9765606openalex-snapshot

Enhancing Haptic Distinguishability of Surface Materials With Boosting Technique

inferred← citeshttps://doi.org/10.1109/have.2018.8547505openalex-snapshot

The Role of Haptics in Digital Archaeology and Heritage Recording Processes

inferred← citeshttps://doi.org/10.1109/icip.2019.8803138openalex-snapshot

SPI-Optimizer: An Integral-Separated PI Controller for Stochastic Optimization

inferred← citeshttps://doi.org/10.1109/icps49255.2021.9468191openalex-snapshot

Material Identification for Smart Manufacturing Systems: A Review

inferred← citeshttps://doi.org/10.1109/icra.2019.8794095openalex-snapshot

Deep Multi-Sensory Object Category Recognition Using Interactive Behavioral Exploration

inferred← citeshttps://doi.org/10.1109/ijcnn55064.2022.9892134openalex-snapshot

Alignment and Multi-Scale Fusion for Visual-Tactile Object Recognition

inferred← citeshttps://doi.org/10.1109/iros.2016.7759353openalex-snapshot

A CRF that combines touch and vision for haptic mapping

inferred← citeshttps://doi.org/10.1109/iros51168.2021.9636174openalex-snapshot

A Force Recognition System for Distinguishing Click Responses of Various Objects

inferred← citeshttps://doi.org/10.1109/jsen.2018.2868332openalex-snapshot

Interaction Force Estimation Using Camera and Electrical Current Without Force/Torque Sensor

inferred← citeshttps://doi.org/10.1109/jsen.2019.2912968openalex-snapshot

CNN-Based Methods for Object Recognition With High-Resolution Tactile Sensors

inferred← citeshttps://doi.org/10.1109/jsen.2022.3227207openalex-snapshot

Machine-Learning Methods for Material Identification Using mmWave Radar Sensor

inferred← citeshttps://doi.org/10.1109/jsen.2025.3538696openalex-snapshot

Tactile Sensor Capable of Distinguishing Materials Based on Opposing Inductance Coils

inferred← citeshttps://doi.org/10.1109/jsen.2026.3664666openalex-snapshot

DiffVTC-Net: Visual-Tactile Counterfactual Cross-Modal Weight Allocation Fusion Network Based on Diffusion Models

inferred← citeshttps://doi.org/10.1109/jstsp.2022.3171682openalex-snapshot

Surface Material Perception Through Multimodal Learning

inferred← citeshttps://doi.org/10.1109/lra.2020.3010720openalex-snapshot

Self-Attention Based Visual-Tactile Fusion Learning for Predicting Grasp Outcomes

inferred← citeshttps://doi.org/10.1109/lra.2021.3072035openalex-snapshot

Contact Feature Recognition Based on MFCC of Force Signals

inferred← citeshttps://doi.org/10.1109/robosoft.2019.8722819openalex-snapshot

Robotic Touch: Classification of Materials for Manipulation and Walking

inferred← citeshttps://doi.org/10.1109/tase.2019.2941230openalex-snapshot

Cross-Modal Material Perception for Novel Objects: A Deep Adversarial Learning Method

inferred← citeshttps://doi.org/10.1109/tase.2023.3296569openalex-snapshot

Multimodal Multi-User Surface Recognition With the Kernel Two-Sample Test

inferred← citeshttps://doi.org/10.1109/tcyb.2021.3080321openalex-snapshot

Visual–Tactile Fused Graph Learning for Object Clustering

inferred← citeshttps://doi.org/10.1109/tie.2024.3395770openalex-snapshot

Accurate Flexible Printed Circuit (FPC) Position Identification Using Haptic Information in Industrial Robotic Mobile Phone Assembly

inferred← citeshttps://doi.org/10.1109/tii.2020.2971643openalex-snapshot

Bioinspired Embodiment for Intelligent Sensing and Dexterity in Fine Manipulation: A Survey

inferred← citeshttps://doi.org/10.1109/tii.2024.3451488openalex-snapshot

Federated Double Deep Q-Networks for Unbalanced Material Classification in Tactile Internet

inferred← citeshttps://doi.org/10.1109/tim.2017.2764298openalex-snapshot

Multimodal Measurements Fusion for Surface Material Categorization

inferred← citeshttps://doi.org/10.1109/tim.2021.3096858openalex-snapshot

Influence of Surface Tactile Data Quantity on Material Classification in Unstructured Environments

inferred← citeshttps://doi.org/10.1109/tim.2023.3244802openalex-snapshot

Surface Material Classification Based on Unbalanced Visual and Haptic Data: A Double-DQN Method

inferred← citeshttps://doi.org/10.1109/tim.2023.3311071openalex-snapshot

Cross-Modal Generation of Tactile Friction Coefficient From Audio and Visual Measurements by Transformer

inferred← citeshttps://doi.org/10.1109/tim.2023.3336453openalex-snapshot

Method for Audio-to-Tactile Cross-Modality Generation Based on Residual U-Net

inferred← citeshttps://doi.org/10.1109/tmech.2020.3006702openalex-snapshot

Deep Neural Network Classification of Tactile Materials Explored by Tactile Sensor Array With Various Active-Cell Formations

inferred← citeshttps://doi.org/10.1109/tmech.2024.3449442openalex-snapshot

Friction Coefficient Generated by Federated Transformer and its Application in Tactile Device

inferred← citeshttps://doi.org/10.1109/tmm.2021.3052354openalex-snapshot

Intra-Domain Consistency Enhancement for Unsupervised Person Re-Identification

inferred← citeshttps://doi.org/10.1109/tmm.2022.3208740openalex-snapshot

Neuromorphic Similarity Measurement of Tactile Stimuli in Human–Machine Interface

inferred← citeshttps://doi.org/10.1109/tmm.2025.3590907openalex-snapshot

A Cross-Modal Generation Algorithm for Temporal Force Tactile Data for Multidimensional Haptic Rendering

inferred← citeshttps://doi.org/10.1109/tmm.2026.3668507openalex-snapshot

Self-Paced Attribute Prototype Contrastive Learning for Cross-Modal Materials Perception

inferred← citeshttps://doi.org/10.1109/toh.2016.2625787openalex-snapshot

Multimodal Feature-Based Surface Material Classification

inferred← citeshttps://doi.org/10.1109/toh.2019.2952118openalex-snapshot

Haptic Material Analysis and Classification Inspired by Human Exploratory Procedures

inferred← citeshttps://doi.org/10.1109/tsmc.2021.3096235openalex-snapshot

Partial Visual-Tactile Fused Learning for Robotic Object Recognition

inferred← citeshttps://doi.org/10.1109/wcsp52459.2021.9613691openalex-snapshot

QoE- Driven Tactile Internet: Scenario, Architecture and Analysis

inferred← citeshttps://doi.org/10.1109/whc.2017.7989927openalex-snapshot

Content-based surface material retrieval

inferred← citeshttps://doi.org/10.1109/whc.2019.8816141openalex-snapshot

PerceptNet: Learning Perceptual Similarity of Haptic Textures in Presence of Unorderable Triplets

inferred← citeshttps://doi.org/10.1109/whc.2019.8816167openalex-snapshot

HapTex: A Database of Fabric Textures for Surface Tactile Display

inferred← citeshttps://doi.org/10.1109/whc56415.2023.10224372openalex-snapshot

Concurrent Haptic, Audio, and Visual Data Set During Bare Finger Interaction with Textured Surfaces

inferred← citeshttps://doi.org/10.1109/whc64065.2025.11123227openalex-snapshot

Text-Driven Generative Framework for Multimodal Visual and Haptic Texture Synthesis

inferred← citeshttps://doi.org/10.1111/stan.12315openalex-snapshot

An efficient automatic clustering algorithm for probability density functions and its applications in surface material classification

inferred← citeshttps://doi.org/10.1117/12.2682381openalex-snapshot

Research on object classification based on visual-tactile fusion

inferred← citeshttps://doi.org/10.1134/s1560090421060117openalex-snapshot

A Hybrid Deep Learning Model for Predicting Lifetime and Mechanical Performance Degradation of Multilayer Greenhouse Polyethylene Films

inferred← citeshttps://doi.org/10.1145/3412384openalex-snapshot

Part-based Structured Representation Learning for Person Re-identification

inferred← citeshttps://doi.org/10.1145/3611659.3615714openalex-snapshot

Predicting Perceptual Haptic Attributes of Textured Surface from Tactile Data Based on Deep CNN-LSTM Network

inferred← citeshttps://doi.org/10.1145/3742432openalex-snapshot

Material-ID: Towards mmWave-based Material Identification

inferred← citeshttps://doi.org/10.11591/ijeecs.v14.i3.pp1433-1442openalex-snapshot

A cluster-based feature selection method for image texture classification

inferred← citeshttps://doi.org/10.1177/17298806231191947openalex-snapshot

Visual–tactile fusion object classification method based on adaptive feature weighting

inferred← citeshttps://doi.org/10.1177/1729881417717056openalex-snapshot

Recent progress on tactile object recognition

inferred← citeshttps://doi.org/10.12792/jiiae.10.65openalex-snapshot

Handy-Type Tactile Sensor for Object Recognition Using Convolutional Neural Networks

inferred← citeshttps://doi.org/10.1609/aaai.v35i7.16766openalex-snapshot

Generative Partial Visual-Tactile Fused Object Clustering

inferred← citeshttps://doi.org/10.2139/ssrn.5766894openalex-snapshot

Deep Learning-Driven Intelligent System for Waste Material Classification Management Using Acoustic and Ultrasonic Spectrograms

inferred← citeshttps://doi.org/10.21923/jesd.452153openalex-snapshot

ROBOTIC SURFACE MATERIAL RECOGNITION SYSTEM USING SENSOR NETWORK

inferred← citeshttps://doi.org/10.2196/23635openalex-snapshot

The Current Situation and Future Prospects of Simulators in Dental Education

inferred← citeshttps://doi.org/10.26599/bsa.2020.9050012openalex-snapshot

Embodied tactile perception and learning

inferred← citeshttps://doi.org/10.31590/ejosat.1039296openalex-snapshot

Classifying Surface Points Based on Developability Using Machine Learning

inferred← citeshttps://doi.org/10.3389/fnbot.2023.1181383openalex-snapshot

Adaptive visual–tactile fusion recognition for robotic operation of multi-material system

inferred← citeshttps://doi.org/10.3390/met10020163openalex-snapshot

Quantifying Mechanical Properties of Automotive Steels with Deep Learning Based Computer Vision Algorithms

inferred← citeshttps://doi.org/10.3390/s17112455openalex-snapshot

Inferring Interaction Force from Visual Information without Using Physical Force Sensors

inferred← citeshttps://doi.org/10.3390/s18030692openalex-snapshot

Enhancing Perception with Tactile Object Recognition in Adaptive Grippers for Human–Robot Interaction

inferred← citeshttps://doi.org/10.3390/s21010113openalex-snapshot

Transfer of Learning from Vision to Touch: A Hybrid Deep Convolutional Neural Network for Visuo-Tactile 3D Object Recognition

inferred← citeshttps://doi.org/10.3390/s24237664openalex-snapshot

Multimodal Material Classification Using Visual Attention

inferred← citeshttps://doi.org/10.3390/s25185786openalex-snapshot

A Tactile Cognitive Model Based on Correlated Texture Information Entropy and Multimodal Fusion Learning

inferred← citeshttps://doi.org/10.3724/sp.j.2096-5796.2019.0008openalex-snapshot

Haptic display for virtual reality: progress and challenges

inferred← citeshttps://doi.org/10.48550/arxiv.1905.03302openalex-snapshot

PerceptNet: Learning Perceptual Similarity of Haptic Textures in Presence of Unorderable Triplets

inferred← citeshttps://doi.org/10.48550/arxiv.2012.14070openalex-snapshot

Generative Partial Visual-Tactile Fused Object Clustering

inferred← citeshttps://doi.org/10.53730/ijhs.v6ns2.6079openalex-snapshot

Swarm optimization based texture classification in extreme scale variations

inferred← citeshttps://doi.org/10.70675/0043d8c4z1287z4352zb8e7z95023cb4565aopenalex-snapshot

Contribution to the study of the haptic enhancement of images on touchscreens

inferred← citeshttps://doi.org/10.70675/d1c86137z5775z4078zbc24z51938754daedopenalex-snapshot

Visuo-Haptic recognition of daily-life objects : a contribution to the data scarcity problem

inferred← citeshttps://doi.org/10.7210/jrsj.37.409openalex-snapshot

Construction and Evaluation about Tactile Sensor for a Finger of a Humanoid Robot

inferred← citeshttps://doi.org/10.7210/jrsj.39.173openalex-snapshot

Recognition of Contact Event Based on MFCC of Force Signals

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.