68 citations · 273 across the 23 of their papers we have counts for
25 papers
Moving Like a Human: Ego-Motion-Normalized Temporal Signatures for Real-Time Aerial Person Tracking on Milliwatt-Class Hardware
Akbar Anbar Jafari, Cagri Ozcinar, Gholamreza Anbarjafari
Follow-me person tracking must run on the drone itself, where affordable companion computers offer only a few effective int8 GFLOP/s. At typical follow distances a person spans 10-…
Complex-Valued Unitary Representations as Classification Heads for Improved Uncertainty Quantification in Deep Neural Networks
Akbar Anbar Jafari, Cagri Ozcinar, Gholamreza Anbarjafari
Modern deep neural networks achieve high predictive accuracy but remain poorly calibrated: their confidence scores do not reliably reflect the true probability of correctness. We p…
A Multi-physics Simulation Framework for High-power Microwave Counter-unmanned Aerial System Design and Performance Evaluation
Akbar Anbar Jafari, Gholamreza Anbarjafari
The proliferation of small unmanned aerial systems (sUAS) operating under autonomous guidance has created an urgent need for non-kinetic neutralization methods that are immune to c…
Responsible AI: The Good, The Bad, The AI
Akbar Anbar Jafari, Cagri Ozcinar, Gholamreza Anbarjafari
The rapid proliferation of artificial intelligence across organizational contexts has generated profound strategic opportunities while introducing significant ethical and operation…
A Lightweight Modular Framework for Constructing Autonomous Agents Driven by Large Language Models: Design, Implementation, and Applications in AgentForge
Akbar Anbar Jafari, Cagri Ozcinar, Gholamreza Anbarjafari
The emergence of LLMs has catalyzed a paradigm shift in autonomous agent development, enabling systems capable of reasoning, planning, and executing complex multi-step tasks. Howev…
Closed-Loop Transformers: Autoregressive Modeling as Iterative Latent Equilibrium
Akbar Anbar Jafari, Gholamreza Anbarjafari
Contemporary autoregressive transformers operate in open loop: each hidden state is computed in a single forward pass and never revised, causing errors to propagate uncorrected thr…
Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence
Akbar Anbar Jafari, Cagri Ozcinar, Gholamreza Anbarjafari
Contemporary machine learning models, including large language models, exhibit remarkable capabilities in static tasks yet falter in non-stationary environments due to rigid archit…
A Mathematical Framework for AI Singularity: Conditions, Bounds, and Control of Recursive Improvement
Akbar Anbar Jafari, Cagri Ozcinar, Gholamreza Anbarjafari
AI systems improve by drawing on more compute, data, energy, and better training methods. This paper asks a precise, testable version of the "runaway growth" question: under what m…
Mapping Emotions in the Brain: A Bi-Hemispheric Neural Model with Explainable Deep Learning
David Freire-Obregón, Agnieszka Dubiel, Prasoon Kumar Vinodkumar +3
Recent advances have shown promise in emotion recognition from electroencephalogram (EEG) signals by employing bi-hemispheric neural architectures that incorporate neuroscientific…
Responsible AI: Gender bias assessment in emotion recognition
Artem Domnich, Gholamreza Anbarjafari
Rapid development of artificial intelligence (AI) systems amplify many concerns in society. These AI algorithms inherit different biases from humans due to mysterious operational f…
Ensemble approach for detection of depression using EEG features
Egils Avots, Klavs Jermakovs, Maie Bachmann +3
Depression is a public health issue which severely affects one's well being and cause negative social and economic effect for society. To rise awareness of these problems, this pub…
Atmospheric ray tomography for low-Z materials: implementing new methods on a proof-of-concept tomograph
Gholamreza Anbarjafari, Aivo Anier, Egils Avots +9
Cosmic rays interacting with the atmosphere result in a flux of secondary particles including muons and electrons. Atmospheric ray tomography (ART) uses the muons and electrons for…
Comprehensive Empirical Evaluation of Deep Learning Approaches for Session-based Recommendation in E-Commerce
Mohamed Maher, Perseverance Munga Ngoy, Aleksandrs Rebriks +4
Boosting sales of e-commerce services is guaranteed once users find more matching items to their interests in a short time. Consequently, recommendation systems have become a cruci…
ChaLearn Looking at People: IsoGD and ConGD Large-scale RGB-D Gesture Recognition
Jun Wan, Chi Lin, Longyin Wen +7
The ChaLearn large-scale gesture recognition challenge has been run twice in two workshops in conjunction with the International Conference on Pattern Recognition (ICPR) 2016 and I…
On the effect of age perception biases for real age regression
Julio C. S. Jacques Junior, Cagri Ozcinar, Marina Marjanovic +3
Automatic age estimation from facial images represents an important task in computer vision. This paper analyses the effect of gender, age, ethnic, makeup and expression attributes…
A Study of Language and Classifier-independent Feature Analysis for Vocal Emotion Recognition
Fatemeh Noroozi, Marina Marjanovic, Angelina Njegus +2
Every speech signal carries implicit information about the emotions, which can be extracted by speech processing methods. In this paper, we propose an algorithm for extracting feat…
From 2D to 3D Geodesic-based Garment Matching
Meysam Madadi, Egils Avots, Sergio Escalera +3
A new approach for 2D to 3D garment retexturing is proposed based on Gaussian mixture models and thin plate splines (TPS). An automatically segmented garment of an individual is ma…
Doubly Attentive Transformer Machine Translation
Hasan Sait Arslan, Mark Fishel, Gholamreza Anbarjafari
In this paper a doubly attentive transformer machine translation model (DATNMT) is presented in which a doubly-attentive transformer decoder normally joins spatial visual features…
3D Scanning: A Comprehensive Survey
Morteza Daneshmand, Ahmed Helmi, Egils Avots +7
This paper provides an overview of 3D scanning methodologies and technologies proposed in the existing scientific and industrial literature. Throughout the paper, various types of…
Survey on Emotional Body Gesture Recognition
Fatemeh Noroozi, Ciprian Adrian Corneanu, Dorota Kamińska +3
Automatic emotion recognition has become a trending research topic in the past decade. While works based on facial expressions or speech abound, recognizing affect from body gestur…
3D Face Reconstruction with Region Based Best Fit Blending Using Mobile Phone for Virtual Reality Based Social Media
Gholamreza Anbarjafari, Rain Eric Haamer, Iiris Lusi +2
The use of virtual reality (VR) is exponentially increasing and due to that many researchers has started to work on developing new VR based social media. For this purpose it is imp…
Automatic Recognition of Facial Displays of Unfelt Emotions
Kaustubh Kulkarni, Ciprian Adrian Corneanu, Ikechukwu Ofodile +5
Humans modify their facial expressions in order to communicate their internal states and sometimes to mislead observers regarding their true emotional states. Evidence in experimen…
Image Resolution Enhancement by Using Interpolation Followed by Iterative Back Projection
Pejman Rasti, Hasan Demirel, Gholamreza Anbarjafari
In this paper, we propose a new super resolution technique based on the interpolation followed by registering them using iterative back projection (IBP). Low resolution images are…
HSI based colour image equalization using iterative nth root and nth power
Gholamreza Anbarjafari
In this paper an equalization technique for colour images is introduced. The method is based on nth root and nth power equalization approach but with optimization of the mean of th…