6 citations · 7 across the 4 of their papers we have counts for
7 papers
HyTAS: A Hyperspectral Image Transformer Architecture Search Benchmark and Analysis
Fangqin Zhou, Mert Kilickaya, Joaquin Vanschoren +1
Hyperspectral Imaging (HSI) plays an increasingly critical role in precise vision tasks within remote sensing, capturing a wide spectrum of visual data. Transformer architectures h…
What Can AutoML Do For Continual Learning?
Mert Kilickaya, Joaquin Vanschoren
This position paper outlines the potential of AutoML for incremental (continual) learning to encourage more research in this direction. Incremental learning involves incorporating…
Locality-Aware Hyperspectral Classification
Fangqin Zhou, Mert Kilickaya, Joaquin Vanschoren
Hyperspectral image classification is gaining popularity for high-precision vision tasks in remote sensing, thanks to their ability to capture visual information available in a wid…
Structured Visual Search via Composition-aware Learning
Mert Kilickaya, Arnold W. M. Smeulders
This paper studies visual search using structured queries. The structure is in the form of a 2D composition that encodes the position and the category of the objects. The transform…
Self-Selective Context for Interaction Recognition
Mert Kilickaya, Noureldien Hussein, Efstratios Gavves +1
Human-object interaction recognition aims for identifying the relationship between a human subject and an object. Researchers incorporate global scene context into the early layers…
Diagnosing Rarity in Human-Object Interaction Detection
Mert Kilickaya, Arnold Smeulders
Human-object interaction (HOI) detection is a core task in computer vision. The goal is to localize all human-object pairs and recognize their interactions. An interaction defined…