Group Members

Staff

Dim Papadopoulos

Associate Professor
email: <dimp[at]dtu[dot].dk>

Thanos Delatolas

PhD student, started Sep 2022
email: <atde[at]dtu[dot].dk>

Co-supervise with Prof. Vicky Kalogeiton
Topic: Video segmentation and annotation

Marco Schouten

PhD student, started Nov 2023
email: <marscho[at]dtu[dot].dk>

Co-supervise with Prof. Serge Belongie
Topic: Human-machine collaboration

Onur Kaya

PhD student, started Nov 2024
email: <monka[at]dtu[dot].dk>

Co-supervise with Prof. Desmond Elliott
Topic: Multimodal labeling and learning

Master and Bachelor Students

Alumni

Master students

[Fall 2024] Sound-to-Image Synthesis, Controlling Image Generation through Audio Modality: Jakob Kristensen

[Spring 2024] Copy Paste Data Augmentation for Video Object Segmentation: Ioannis Manganas

[Spring 2024] Weakly supervised 3D object detection: Andreas Lau Hansen

[Spring 2024] Weakly supervised 3D object detection: Lukas Daniel Visti Wanzeck

[Spring 2024] Learning to Segment and Track any Object for Video Object Segmentation: Alexandros Avramis

[Fall 2023] Carolina Lopez Olmos: Learning global data representations through generative AI and language models. A journey towards Responsible AI

[Fall 2023] Alejandro Valverde Mahou: Ice core line-scan analysis using Computer Vision and Deep Learning

[Fall 2023] Jakob Thirup Fahl: Temporal Localization of Group Activities in Football Videos

[Fall 2023] Aleksander Nagaj: Fall detection, with or without context?

[Fall 2023] Thomas Faissal Fayad: Interactive video object segmentation with click-based label propagation

[Fall 2023] Patrick Dominique Vibild: Development of a Data Acquisition Pipeline for Distance Estimation of Boats in Monocular Systems

[Fall 2023] Francisc Vlad Loghin: Interactive video object segmentation using a vision transformer

[Spring 2023] Merkourios Giannikos: Efficient image annotation using reinforcement learning

[Spring 2023] Anna Venetsanou: Interactive Segmentation with Latent Diffusion Models

[Spring 2023] Dimitrios Bokos: Learning to detect lies in videos by playing video games

[Spring 2023] Sarah Cournane: Learning to generate new fashion outfits from text descriptions

[Spring 2023] Mario Lozano: Subject-Driven Generation Techniques for Stable Diffusion Model

[Spring 2023] Alejandro Senent: Context-aware re-identification

[Spring 2023] Joachim Svendsen: Learning to defect images using generative models and synthetic data

[Spring 2023] Khurram Malik: Anomaly detection in thermal surveillance videos using synthetic data

[Spring 2023] Duran Köse: Anomaly detection in thermal surveillance videos using synthetic data

[Spring 2022] Anders Emil Pedersen: Interactive Annotation of Object Instances using an Autoregressive Vision Transformer

[Spring 2022] Adam Elias Haubenstock: Learning executable robot actions from natural language commands using a single camera

[Spring 2022] Ferenc Leicht: Learning executable robot actions from natural language commands using a single camera

Bachelor Students

[Fall 2024] Yaxin Luo: Exploring pure LLM’s Generalization Ability on Vision Tasks

[Fall 2023] Arian Dapouyeh: TempoArt, A temporally consistent approach for video style transfer

[Fall 2023] Signe Wulff Andersen: TempoArt, A temporally consistent approach for video style transfer

[Spring 2023] Viktor Sebastian Petersen: A Deep Reinforcement Learning framework for playing a pool game using Computer Vision

[Spring 2023] Jonas Myhre Schiøtt: A Deep Reinforcement Learning framework for playing a pool game using Computer Vision

[Fall 2022] Martin Ægidius: Learning to detect objects from eye-tracking data using a vision transformer

[Fall 2022] Jens Parslov: Part and damage segmentation of cars using synthetic data

[Fall 2022] Erik Riise: Part and damage segmentation of cars using synthetic data

[Fall 2022] Jakob Ketmig: Occlusion-robust cattle pose estimation using keypoint prediction

[Fall 2022] Alexander Valentini: Occlusion-robust cattle pose estimation using keypoint prediction

[Fall 2022] Oliver Zacho: Detecting significant events in sports videos using computer vision