activity
20172026
most citedPURSUhInT: In Search of Informative Hint Points Based on Layer Clustering for Knowledge Distillation

7 citations · 11 across the 6 of their papers we have counts for

collaborators

7 papers

cs.AI2026

LLM-Guided Agentic Floor Plan Parsing for Accessible Indoor Navigation of Blind and Low-Vision People

Aydin Ayanzadeh, Tim Oates

Indoor navigation remains a critical accessibility challenge for the blind and low-vision (BLV) individuals, as existing solutions rely on costly per-building infrastructure. We pr…

cs.CV2026

WildfireVLM: AI-powered Analysis for Early Wildfire Detection and Risk Assessment Using Satellite Imagery

Aydin Ayanzadeh, Prakhar Dixit, Sadia Kamal +1

Wildfires are a growing threat to ecosystems, human lives, and infrastructure, with their frequency and intensity rising due to climate change and human activities. Early detection…

cs.AI2025

Floorplan2Guide: LLM-Guided Floorplan Parsing for BLV Indoor Navigation

Aydin Ayanzadeh, Tim Oates

Indoor navigation remains a critical challenge for people with visual impairments. The current solutions mainly rely on infrastructure-based systems, which limit their ability to n…

cs.LG2021

ResVGAE: Going Deeper with Residual Modules for Link Prediction

Indrit Nallbani, Reyhan Kevser Keser, Aydin Ayanzadeh +2

Graph autoencoders are efficient at embedding graph-based data sets. Most graph autoencoder architectures have shallow depths which limits their ability to capture meaningful relat…

cs.LG2021★ 7 cited

PURSUhInT: In Search of Informative Hint Points Based on Layer Clustering for Knowledge Distillation

Reyhan Kevser Keser, Aydin Ayanzadeh, Omid Abdollahi Aghdam +3

One of the most efficient methods for model compression is hint distillation, where the student model is injected with information (hints) from several different layers of the teac…

math.OC2019

A New Class of Scaling Matrices for Scaled Trust Region Algorithms

Aydin Ayanzadeh, Shokoufeh Yazdanian, Ehsan Shahamatnia

A new class of affine scaling matrices for the interior point Newton-type methods is considered to solve the nonlinear systems with simple bounds. We review the essential propertie…

cs.CV2017★ 4 cited

Gaussian Three-Dimensional kernel SVM for Edge Detection Applications

Safar Irandoust-Pakchin, Aydin Ayanzadeh, Siamak Beikzadeh

This paper presents a novel and uniform algorithm for edge detection based on SVM (support vector machine) with Three-dimensional Gaussian radial basis function with kernel. Becaus…