Daan de Geus

Orcid: 0000-0003-0559-5341

According to our database1, Daan de Geus authored at least 30 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
SurGe: Improved Surface Geometry in Point Maps.
CoRR, May, 2026

Volume Transformer: Revisiting Vanilla Transformers for 3D Scene Understanding.
CoRR, April, 2026

A Frame is Worth One Token: Efficient Generative World Modeling with Delta Tokens.
CoRR, April, 2026

PMT: Plain Mask Transformer for Image and Video Segmentation with Frozen Vision Encoders.
CoRR, March, 2026

VidEoMT: Your ViT is Secretly Also a Video Segmentation Model.
CoRR, February, 2026

DINO in the Room: Leveraging 2D Foundation Models for 3D Segmentation.
Proceedings of the International Conference on 3D Visio, 2026

2025
LSVOS 2025 Challenge Report: Recent Advances in Complex Video Object Segmentation.
CoRR, October, 2025

3rd Place Report of LSVOS 2025 MeViS Track: Sa2VA-i: Improving Sa2VA Results with Consistent Training and Inference.
CoRR, September, 2025

How Important are Videos for Training Video LLMs?
CoRR, June, 2025

DINO in the Room: Leveraging 2D Foundation Models for 3D Segmentation.
CoRR, March, 2025

Fine-Tuning Image-Conditional Diffusion Models is Easier than you Think.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

DONUT: A Decoder-Only Model for Trajectory Prediction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Your ViT is Secretly an Image Segmentation Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning.
J. Mach. Learn. Res., 2024

2024 BRAVO Challenge Track 1 1st Place Report: Evaluating Robustness of Vision Foundation Models for Semantic Segmentation.
CoRR, 2024


ALGM: Adaptive Local-then-Global Token Merging for Efficient Semantic Segmentation with Plain Vision Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

How to Benchmark Vision Foundation Models for Semantic Segmentation?
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Task-Aligned Part-Aware Panoptic Segmentation Through Joint Object-Part Representations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Exploring the Benefits of Vision Foundation Models for Unsupervised Domain Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Coordinating Fully-Cooperative Agents Using Hierarchical Learning Anticipation.
CoRR, 2023

Empirical Generalization Study: Unsupervised Domain Adaptation vs. Domain Generalization Methods for Semantic Segmentation in the Wild.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Content-aware Token Sharing for Efficient Semantic Segmentation with Vision Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021
Part-Aware Panoptic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Fast Panoptic Segmentation Network.
IEEE Robotics Autom. Lett., 2020

Cityscapes-Panoptic-Parts and PASCAL-Panoptic-Parts datasets for Scene Understanding.
CoRR, 2020

Proactive Risk Navigation System for Real-World Urban Intersections.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019
Single Network Panoptic Segmentation for Street Scene Understanding.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

2018
Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network.
CoRR, 2018


  Loading...