On the public citation graph

Analysis of Vision Transformers for American Sign Language Recognition in Unconstrained Visual Conditions

https://doi.org/10.2139/ssrn.6138950
0 signed · 23 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1002/cpe.7109openalex-snapshot
An efficient hand gesture recognition based on optimal deep embedded hybrid convolutional neural network‐long short term memory network model
inferredcites →https://doi.org/10.1007/s00371-025-04110-5openalex-snapshot
Dynamic hand gesture recognition via reinforcement learning with adaptive category exclusion
inferredcites →https://doi.org/10.1007/s00371-025-04125-yopenalex-snapshot
Two-hand on-skin gesture recognition: a dataset and classification network for enhanced human–computer interaction
inferredcites →https://doi.org/10.1007/s11042-021-11595-4openalex-snapshot
Indian sign language alphabet recognition system using CNN with diffGrad optimizer and stochastic pooling
inferredcites →https://doi.org/10.1007/s11042-021-11623-3openalex-snapshot
HyFiNet: Hybrid feature attention network for hand gesture recognition
inferredcites →https://doi.org/10.1007/s11042-023-15410-0openalex-snapshot
Textural feature descriptors for a static and dynamic hand gesture recognition system
inferredcites →https://doi.org/10.1007/s11042-023-15865-1openalex-snapshot
mIV3Net: modified inception V3 network for hand gesture recognition
inferredcites →https://doi.org/10.1007/s11042-023-16299-5openalex-snapshot
Improving accuracy using ML/DL in vision based techniques of ISLR
inferredcites →https://doi.org/10.1007/s11263-012-0560-5openalex-snapshot
Attention Based Detection and Recognition of Hand Postures Against Complex Backgrounds
inferredcites →https://doi.org/10.1007/s42979-023-02482-wopenalex-snapshot
Developing an Offline and Real-Time Indian Sign Language Recognition System with Machine Learning and Deep Learning
inferredcites →https://doi.org/10.1016/j.birob.2023.100141openalex-snapshot
Computer vision-based six layered ConvNeural network to recognize sign language for both numeral and alphabet signs
inferredcites →https://doi.org/10.1016/j.heliyon.2023.e23252openalex-snapshot
Automated sign language detection and classification using reptile search algorithm with hybrid deep learning
inferredcites →https://doi.org/10.1016/j.iswa.2024.200384openalex-snapshot
MLMSign: Multi-lingual multi-modal illumination-invariant sign language recognition
inferredcites →https://doi.org/10.1016/j.jvcir.2020.102834openalex-snapshot
Taguchi-TOPSIS based HOG parameter selection for complex background sign language recognition
inferredcites →https://doi.org/10.1016/j.patcog.2023.109901openalex-snapshot
Mask-guided multiscale feature aggregation network for hand gesture recognition
inferredcites →https://doi.org/10.1016/j.patrec.2021.06.020openalex-snapshot
Bangla Sign alphabet recognition with zero-shot and transfer learning
inferredcites →https://doi.org/10.1016/j.procs.2020.04.255openalex-snapshot
A Deep Convolutional Neural Network Approach for Static Hand Gesture Recognition
inferredcites →https://doi.org/10.1109/afgr.1996.557260openalex-snapshot
Robust classification of hand postures against complex backgrounds
inferredcites →https://doi.org/10.1109/icosec51865.2021.9591845openalex-snapshot
American Sign Language Static Gesture Recognition using Deep Learning and Computer Vision
inferredcites →https://doi.org/10.1145/3530989openalex-snapshot
Static and Dynamic Isolated Indian and Russian Sign Language Recognition with Spatial and Temporal Feature Detection Using Hybrid Neural Network
inferredcites →https://doi.org/10.1155/2021/5532580openalex-snapshot
Deep Learning Techniques for Spanish Sign Language Interpretation
inferredcites →https://doi.org/10.3390/app132111625openalex-snapshot
Vision Transformers and Transfer Learning Approaches for Arabic Sign Language Recognition
inferredcites →https://doi.org/10.3390/s22020574openalex-snapshot
Bangla Sign Language (BdSL) Alphabets and Numerals Classification Using a Deep Learning Model
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.