14 citations · 24 across the 10 of their papers we have counts for
9 papers · 1 filter
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…
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…
Are Labels Needed for Incremental Instance Learning?
Mert Kilickaya, Joaquin Vanschoren
In this paper, we learn to classify visual object instances, incrementally and via self-supervision (self-incremental). Our learner observes a single instance at a time, which is t…
Evaluating Continual Test-Time Adaptation for Contextual and Semantic Domain Shifts
Tommie Kerssies, Mert Kılıçkaya, Joaquin Vanschoren
In this paper, our goal is to adapt a pre-trained convolutional neural network to domain shifts at test time. We do so continually with the incoming stream of test batches, without…
Human-Object Interaction Detection via Weak Supervision
Mert Kilickaya, Arnold Smeulders
The goal of this paper is Human-object Interaction (HO-I) detection. HO-I detection aims to find interacting human-objects regions and classify their interaction from an image. Res…
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…
Continual Learning of Object Instances
Kishan Parshotam, Mert Kilickaya
We propose continual instance learning - a method that applies the concept of continual learning to the task of distinguishing instances of the same object category. We specificall…