rmtheis/android-ocr
Experimental optical character recognition app (⭐ 2238)
Kosovo - Wikipedia
Kosovo, [a] officially the Republic of Kosovo, [b] is a landlocked country in Southeast Europe with partial diplomatic recognition. It is bordered by Albania to the southwest, Montenegro to the west, Serbia to …
POET: Prompt Offset Tuning for Continual Human Action Adaptation
As extended reality (XR) is redefining how users interact with computing devices, research in human action recognition is gaining prominence. Typically, models deployed on immersive computing devices are static and limited to their default set of cla...
Brandi Carlile - Wikipedia
As of 2025, Carlile has released eight studio albums. Her debut major label album, Brandi Carlile (2005), was released to critical acclaim. Carlile garnered wider recognition with her 2007 single "The Story" …
A Joint Named-Entity Recognizer for Heterogeneous Tag-sets Using a Tag Hierarchy
We study a variant of domain adaptation for named-entity recognition where multiple, heterogeneously tagged training sets are available. Furthermore, the test tag-set is not identical to any individual training tag-set. Yet, the relations between all...
GitHub - vannu07/jarvis: Jarvis - AI Voice Assistant with Face ...
Oct 11, 2025 · Jarvis is an intelligent voice assistant that combines speech recognition, natural language processing, and computer vision to provide a seamless user experience. The system features …
GitHub - RootDeveloperDS/J.A.R.V.I.S.: JARVIS (Just A Rather Very ...
JARVIS (Just A Rather Very Intelligent System) — A modular, Python-based AI Assistant built from scratch using Speech Recognition, Natural Language Processing, and Gemini API. JARVIS has …
Subclass Contrastive Loss for Injured Face Recognition
Deaths and injuries are common in road accidents, violence, and natural disaster. In such cases, one of the main tasks of responders is to retrieve the identity of the victims to reunite families and ensure proper identification of deceased/ injured...
Uniquely Pressable Graphs: Characterization, Enumeration, and Recognition
We consider "pressing sequences", a certain kind of transformation of graphs with loops into empty graphs, motivated by an application in phylogenetics. In particular, we address the question of when a graph has precisely one such pressing sequence,...
Are Transformers More Robust Than CNNs?
Transformer emerges as a powerful tool for visual recognition. In addition to demonstrating competitive performance on a broad range of visual benchmarks, recent works also argue that Transformers are much more robust than Convolutions Neural Network...
What are convolutional neural networks? - IBM
For example, recurrent neural networks are commonly used for natural language processing and speech recognition whereas convolutional neural networks (ConvNets or CNNs) are more often utilized for …
OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation
The booming of 3D recognition in the 2020s began with the introduction of point cloud transformers. They quickly overwhelmed sparse CNNs and became state-of-the-art models, especially in 3D semantic segmentation. However, sparse CNNs are still valuab...
Reneé Rapp - Wikipedia
Reneé Jane Rapp (born January 10, 2000) is an American singer-songwriter and actress. She gained recognition for starring as Regina George in the Broadway
Francesca Hong leads WI gubernatorial race in latest MU Law Poll
Hong gains momentum, Barnes stagnates on name recognition, and Rodriguez falls behind in the most recent poll from Marquette Law University on the primary for Governor of Wisconsin ...
VGG Induced Deep Hand Sign Language Detection
Hand gesture recognition is an important aspect of human-computer interaction. It forms the basis of sign language for the visually impaired people. This work proposes a novel hand gesture recognizing system for the differently-abled persons. The mod...
Bella Ramsey Says ‘It’s Important’ to Keep Gendered Awards for Best Actor and Actress:’Rec…
...
Anthony Mackie - Wikipedia
Anthony Dwane Mackie (born September 23, 1978) is an American actor. He gained wide recognition for portraying Sam Wilson in the Marvel Cinematic Universe
Recognition of near-duplicate periodic patterns by continuous metrics with approximation g…
This paper rigorously solves the challenging problem of recognizing periodic patterns under rigid motion in Euclidean geometry. The 3-dimensional case is practically important for justifying the novelty of solid crystalline materials (periodic crysta...
Erin Doherty - Wikipedia
Erin Rachael Doherty (/ˈdoʊərti/; born 16 July 1992) is a British actress. She gained recognition as Princess Anne in the third and fourth seasons of
Disentangling Visual Embeddings for Attributes and Objects
We study the problem of compositional zero-shot learning for object-attribute recognition. Prior works use visual features extracted with a backbone network, pre-trained for object classification and thus do not capture the subtly distinct features a...
Self-Attention with State-Object Weighted Combination for Compositional Zero Shot Learning
Object recognition has become prevalent across various industries. However, most existing applications are limited to identifying objects alone, without considering their associated states. The ability to recognize both the state and object simultane...
Artificial Reality - Wikipedia
Artificial Reality is a book series by Myron W. Krueger about interactive immersive environments (or virtual realities), based on video recognition techniques
Training chord recognition models on artificially generated audio
One of the challenging problems in Music Information Retrieval is the acquisition of enough non-copyrighted audio recordings for model training and evaluation. This study compares two Transformer-based neural network models for chord sequence recogni...
SINA: A Circuit Schematic Image-to-Netlist Generator Using Artificial Intelligence
Current methods for converting circuit schematic images into machine-readable netlists struggle with component recognition and connectivity inference. In this paper, we present SINA, an open-source, fully automated circuit schematic image-to-netlist...
Improving the Security of Smartwatch Payment with Deep Learning
Making contactless payments using a smartwatch is increasingly popular, but this payment medium lacks traditional biometric security measures such as facial or fingerprint recognition. In 2022, Sturgess et al. proposed WatchAuth, a system for authent...
msgi/nlp-journey
Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. (⭐ 1633)
Speak - The languages learning app that gets you speaking
Interactive languages lessons where you actually speak out loud, powered by the latest speech recognition AI technology!
Product recognition in store shelves as a sub-graph isomorphism problem
The arrangement of products in store shelves is carefully planned to maximize sales and keep customers happy. However, verifying compliance of real shelves to the ideal layout is a costly task routinely performed by the store personnel. In this paper...
SAVERS: SAR ATR with Verification Support Based on Convolutional Neural Network
We propose a new convolutional neural network (CNN) which performs coarse and fine segmentation for end-to-end synthetic aperture radar (SAR) automatic target recognition (ATR) system. In recent years, many CNNs for SAR ATR using deep learning have b...
Motion-Scenario Decoupling for Rat-Aware Video Position Prediction: Strategy and Benchmark
Recently significant progress has been made in human action recognition and behavior prediction using deep learning techniques, leading to improved vision-based semantic understanding. However, there is still a lack of high-quality motion datasets fo...
Account Access by Phone | Contact Us | Charles Schwab
Schwab lets you conveniently manage your investments with our automated phone services. Access your account through speech recognition (Schwab by Phone™) or touch-tone (TeleBroker ®). …
Semi-Supervised First-Person Activity Recognition in Body-Worn Video
Body-worn cameras are now commonly used for logging daily life, sports, and law enforcement activities, creating a large volume of archived footage. This paper studies the problem of classifying frames of footage according to the activity of the came...
QuickScan is in v7.5! - My 100% free iOS scanner with OCR (text recognition) is at a whole…
?, 3 years ago, during lockdown, I created QuickScan, a free iOS scanner (with OCR), to help people who cannot afford the right tools to study/work from home. Last year I posted here about the v4, ...
astorfi/lip-reading-deeplearning
:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures (⭐ 1899)
brainhack-school2020/Biosignal-Emotions-BHS-2020
Biosignal processing for automatic emotion recognition (⭐ 49)
Isaiah Rashad - Wikipedia
Isaiah Rashad Joel McClain (born May 16, 1991) is an American rapper and singer. He first gained recognition following his performances on the 2012 Smoker's
giribabu22/assistant-Nikki-python
i developed this assistant using speech-recognition, selenium, beautiful-soup and web-driver , ''' this is my personal assistant name is Nikki if you want to use it there is some rule 1) if you want time or weather you need to say 'Nikki time in city name or country name' Ex : Ni…
zxzhijia/Brian2STDPMNIST
Brian 2 version of Paper "Unsupervised Learning of digit recognition using STDP" (⭐ 136)
Iterative Human and Automated Identification of Wildlife Images
Camera trapping is increasingly used to monitor wildlife, but this technology typically requires extensive data annotation. Recently, deep learning has significantly advanced automatic wildlife recognition. However, current methods are hampered by a...
Rare Wildlife Recognition with Self-Supervised Representation Learning
Automated animal censuses with aerial imagery are a vital ingredient towards wildlife conservation. Recent models are generally based on supervised learning and thus require vast amounts of training data. Due to their scarcity and minuscule size, ann...