Martin N. Everaert Martin Nicolas Everaert

About Me

I am currently a third-year PhD student in the Image and Visual Representation Lab (IVRL) at EPFL. I am grateful to be supervised by my PhD advisor Prof. Dr. Sabine Süsstrunk and my PhD co-advisor Dr. Radhakrishna Achanta.

My research focuses on Computational Aesthetics, overlapping with Computation and Language, Computer Vision, Deep Learning, Generative Models, etc.

Publications

Peer-reviewed publications

Exploiting the Signal-Leak Bias in Diffusion Models

M. N. Everaert, A. Fitsios, M. Bocchio, S. Arpa, S. Süsstrunk, and R. Achanta. “Exploiting the Signal-Leak Bias in Diffusion Models”, Accepted in WACV 2024 (round 1).

VETIM: Expanding the Vocabulary of Text-to-Image Models only with Text

M. N. Everaert, M. Bocchio, S. Arpa, S. Süsstrunk, and R. Achanta. “VETIM: Expanding the Vocabulary of Text-to-Image Models only with Text”, BMVC 2023.

Diffusion in Style

M. N. Everaert, M. Bocchio, S. Arpa, S. Süsstrunk, and R. Achanta. “Diffusion in Style”, ICCV 2023 + Patent PCT filed.

Estimating Image Depth in the Comics Domain

D. Bhattacharjee, M. N. Everaert, M. Salzmann, and S. Süsstrunk. “Estimating Image Depth in the Comics Domain”, WACV 2022.

Other works

Aesthetics-Oriented Video Generation and Editing

M. N. Everaert. “Aesthetics-Oriented Video Generation and Editing”, EDIC research proposal, 2022.

Scene relighting with illumination estimation in the latent space on an encoder-decoder scheme

A. P. Dherse*, M. N. Everaert*, and J. J. Gwizdała*. “Scene relighting with illumination estimation in the latent space on an encoder-decoder scheme”, arXiv preprint arXiv:2006.02333, 2020.

* equal contribution

Academic activities

Conferences

Social media Chair of ICCP 2024: @ICCP_conference

Reviewer for ICCV 2023

Emergency reviewer for BMVC 2023

Teaching

Teaching assistant Award from EPFL School of Computer and Communication Sciences (IC), for teaching excellence, 2023

Teaching assistant for CS-328: Numerical Methods for Visual Computing and Machine Learning, taught by Prof. Wenzel Jakob: Fall 2021, Fall 2023

Teaching assistant for CS-413: Computational Photography, taught by Prof. Sabine Süsstrunk: Spring 2022, Spring 2023, Spring 2024

Student supervision

Project ideas designed by me. Projects carried out by BS or MS students:

1 BS student. “Feed-Forward Guidance for Text-to-Image Diffusion Models”, Bachelor semester project, Fall 2023 , project description.
1 MS student. “Generating stories from keywords”, Master semester project, Spring 2023, project description.
1 BS student. “Coreference resolution for story visualization”, Bachelor semester project, Spring 2023, project description.
1 team of 3 MS students. “Aesthetics of sets of images”, CS-413 project, Spring 2023.
1 team of 3 MS students + 1 team of 2 MS students. “TimeWarp: How would this scene look in 100 years?”, CS-413 project, Spring 2023.
2 teams of 3 MS students. “Text to Photomosaic”, CS-413 project, Spring 2023.
1 team of 3 MS students. “From RGB to NIR with Style Transfer”, CS-413 project, Spring 2023.
1 MS student. “Generate images from texts”, Master semester project, Fall 2022, project description.
1 BS student. “Is this video an ad?”, Bachelor semester project, Fall 2022, project description.
1 team of 3 MS students. "Predicting if two frames are part of the same video", ML4Science project, Fall 2022.
1 team of 3 MS students. “Improving an open-source microscope by adding multispectral imagery”, CS-413 project, Spring 2022, project description.
2 teams of 3 MS students. “Low-level image transformations for image aesthetics”, CS-413 project, Spring 2022, project description.