About me

Welcome to my academic web page! My name is Alexander Gielisse, though I usually go by Sander. I am a PhD Candidate at Delft University of Technology, where I work at the Computer Vision Lab within the Pattern Recognition and Bioinformatics group.

My research focuses on computer vision and implicit neural representations. I am particularly interested in how images and visual signals can be represented, learned, and classified through neural methods. More broadly, my work touches on representation learning, optical flow, high-resolution visual understanding, and learning in neural weight spaces.

Alongside my research, I am actively involved in teaching and supervision at TU Delft. I have served as Head TA for deep learning courses, given lectures on Vision Transformers, and supervised several MSc and BSc student projects. I also contribute to the computer vision research community through reviewing and organizational roles.

On this page, you can find more information about my research interests, publications, teaching, supervision, and other academic activities.

News

2026

• I served as Head TA for DSAIT4005 Machine and Deep Learning.
• I gave lectures on Vision Transformers as part of the TU Delft course DSAIT4125 Computer Vision.
• I supervised Soumen Sinha on learning transformations from data.
• I supervised Vladimir Rullens on deformable implicit representations.
• I supervised a Bachelor group of five students on the real-world generalization of optical flow models.

2025

• Paper End-to-End Implicit Neural Representations for Classification accepted to CVPR 2025.
• Paper ARC: Anchored Representation Clouds for High-Resolution INR Classification accepted to the ICLR 2025 Workshop on Weight Space Learning.
• I released the article version of my Master’s thesis on arXiv.
• I served as Head TA for DSAIT4005 Machine and Deep Learning.
• I supervised Byran He on implicit CNNs.
• I supervised Alexandra Neagu on implicit depth.
• I supervised Petter Reijalt on optical flow evaluations.
• I served as a reviewer for CVPR 2025.
• I served as a reviewer for ECCV 2025.

2024

• I served as Head TA for DSAIT4005 Machine and Deep Learning.
• I gave a lecture on Vision Transformers as part of the TU Delft course CS4245 Seminar Computer Vision by Deep Learning.
• I supervised Paul Frolke on diffusion techniques for optical flow.
• I supervised Pascal Benschop on the usefulness of depth for image segmentation.
• I supervised Joost Luijmes on local implicit neural representations.
• I supervised Thomas Streefkerk on out-of-frame objects in optical flow.
• I worked on implicit neural representations, optical flow, and high-resolution visual understanding.

2023

• Paper Color Equivariant Convolutional Networks accepted to NeurIPS 2023.
• I started my PhD at TU Delft, working on implicit neural representations at the Computer Vision Lab.
• I served as Head TA for CS4240 Deep Learning.
• I served as a reviewer for VIPriors at ICCV 2023.
• I served as Local Chair at NCCV 2023.