Publications
* Denotes equal contribution
Pre-Prints and Workshops
Mitigating Diffusion Model Hallucinations with Dynamic Guidance
Kostas Triaridis, Alexandros Graikos, Aggelina Chatziagapi, Grigorios G. Chrysos, Dimitris Samaras
Preprint, an early version was presented at the BASE Workshop @ CVPR 2025
[arxiv]
PixCell: A generative foundation model for digital histopathology images
Srikar Yellapragada, Alexandros Graikos, Zilinghan Li, Kostas Triaridis, Varun Belagali, Saarthak Kapse, Tarak Nath Nandi, Ravi K Madduri, Prateek Prasanna, Tahsin Kurc, Rajarsi R. Gupta , Joel Saltz, Dimitris Samaras
Preprint
[arxiv], code]
Improving Contrastive Learning for Referring Expression Counting
Kostas Triaridis*, Panagiotis Kaliosis*, E-Ro Nguyen, Jingyi Xu, Hieu Le, Dimitris Samaras
Preprint
[arxiv]
Conferences
Pathology Image Compression with Pre-trained Autoencoders
Srikar Yellapragada, Alexandros Graikos, Kostas Triaridis, Zilinghan Li, Tarak Nath Nandi, Ravi K Madduri, Prateek Prasanna, Joel Saltz, Dimitris Samaras
MICCAI 2025
[arxiv, models]
ZoomLDM: Latent Diffusion Model for multi-scale image generation
Srikar Yellapragada*, Alexandros Graikos*, Kostas Triaridis, Prateek Prasanna, Rajarsi Gupta, Joel Saltz, Dimitris Samaras
CVPR 2025
[arxiv, project page, Large Image Viewer]
Exploring Multi-modal Fusion for Image Manipulation Detection and Localization
Konstantinos Triaridis, Vasileios Mezaris
MMM 2024
[pdf, code]
Journals
MM-Net: A Multi-Modal approach towards Automatic Modulation Classification
Konstantinos Triaridis, Constantine Doumanidis, Nestor D. Chatzidiamantis, George K. Karagiannidis
IEEE Communications Letters 2023
[pdf, code]
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