Mert Kilickaya Mert Kilickaya
Mert Kilickaya

Mert Kilickaya

Hello! I am an AI researcher focused on deep representation learning. I help to build agents that autonomously derive supervision from open-ended data streams and update themselves continuously.

I have contributed to self-supervised continual learning at the Learning to Learn Lab and earned my PhD in deep vision at the QUvA Lab under Arnold Smeulders.

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News

Experience

Agendia

Agendia, Amsterdam, Netherlands

2023-Now

ML Researcher

TU Eindhoven

Learning to Learn Lab, Eindhoven University of Technology, Netherlands

2022-2023

ML Researcher

QUvA Deep Vision Lab

QUvA Deep Vision Lab, University of Amsterdam, Netherlands

2017-2022

PhD Researcher

Huawei Visual Search Lab

Huawei Visual Search Lab, Helsinki, Finland

2021 March - 2022 January

Research Scientist Intern

Research

HyTAS

HyTAS: A Hyperspectral Image Transformer Architecture Search Benchmark and Analysis

Fangqin Zhou, Mert Kilickaya, Joaquin Vanschoren, Ran Piao

ECCV 2024

arXiv GitHub

We present HyTAS, a quick method for hyperspectral vision transformer architecture search.

HyLITE

Locality-Aware Hyperspectral Classification

Fangqin Zhou, Mert Kilickaya, Joaquin Vanschoren

BMVC 2023

arXiv GitHub

We propose HyLITE, a vision-transformer for hyperspectral image classification.

Survey CIL

Towards Label-Efficient Incremental Learning: A Survey

Mert Kilickaya, Joost van de Weijer, Yuki Asano

Preprint 2023

arXiv Slides GitHub

We survey semi-, few-shot, and self-supervised incremental learning.

VINIL

Are Labels Needed for Incremental Instance Learning?

Mert Kilickaya, Joaquin Vanschoren

CVPRW 2023 (Oral)

arXiv Slides

We introduce VINIL, a self-supervised incremental instance learner.

BMVC21

Human-Object Interaction Detection via Weak Supervision

Mert Kilickaya, Arnold Smeulders

BMVC 2021

arXiv Slides

We introduce Align-Former to detect human-object interactions from an image.

WACV21

Structured Visual Search via Composition-aware Learning

Mert Kilickaya, Arnold Smeulders

WACV 2021

arXiv Slides

We introduce composition-aware learning to improve visual image search.

EACL17

Re-evaluating Automatic Metrics for Image Captioning

Mert Kilickaya, Aykut Erdem, Nazli Ikizler-Cinbis, Erkut Erdem

EACL 2017

arXiv Slides

We propose Word-Mover Distance to evaluate image captioning.

Patents

Visual Image Search via Conversational Interaction (Huawei)

Mert Kilickaya, Baiqiang XIA

WO Patent, 2022

Network for Interacted Object Localization (Qualcomm)

Mert Kilickaya, Arnold Smeulders

US Patent, 2022

Subject-Object Interaction Recognition Model (Qualcomm)

Mert Kilickaya, Stratis Gavves, Arnold Smeulders

US Patent, 2022

Context-driven Learning of Human-object Interactions (Qualcomm)

Mert Kilickaya, Noureldien Hussein, Stratis Gavves, Arnold Smeulders

US Patent, 2021

Supervision

I am very fortunate to have crossed paths with these talented individuals.

Evangelos Tsimpouris
Fangqin Zhou
Ran Piao
Tommie Kerssies

Tommie Kerssies (MSc, TU/e)

2022-2023

Test Time Adaptation

Ceren Gok-Yildirim
Kishan Parshotam
Tarun Krishna