Ioannis Kakogeorgiou

Orcid: 0000-0001-5200-2620

According to our database1, Ioannis Kakogeorgiou authored at least 14 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Benchmarking Composed Image Retrieval for Applied Earth Observation.
CoRR, May, 2026

2025
REGLUE Your Latents with Global and Local Semantics for Entangled Diffusion.
CoRR, December, 2025

Attention, Please! Revisiting Attentive Probing for Masked Image Modeling.
CoRR, June, 2025

Boosting Generative Image Modeling via Joint Image-Feature Synthesis.
CoRR, April, 2025

DINO-Foresight: Looking into the Future with DINO.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Edge SpAIce: Deep Learning Deployment Pipeline for Onboard Data Reduction on Satellite FPGAs.
Proceedings of the 2025 IEEE International Parallel and Distributed Processing Symposium, 2025

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Advancing Semantic Future Prediction through Multimodal Visual Sequence Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Composed Image Retrieval for Remote Sensing.
Proceedings of the IGARSS 2024, 2024

A Comparative Study on Sentinel-2 Cloud Detection Algorithms in Marine Environments.
Proceedings of the IGARSS 2024, 2024

SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Keep It SimPool: Who Said Supervised Transformers Suffer from Attention Deficit?
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
What to Hide from Your Students: Attention-Guided Masked Image Modeling.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Evaluating explainable artificial intelligence methods for multi-label deep learning classification tasks in remote sensing.
Int. J. Appl. Earth Obs. Geoinformation, 2021


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