Publications

Pre-Prints and Workshops

1. Structured image representation learning for flow-matching models
   Alexandros Graikos, Kostas Triaridis, Nikolay Malkin, Dimitris Samaras
   DeLTa Workshop @ ICLR 2026
   

2. 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]

3. 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]

4. Improving Contrastive Learning for Referring Expression Counting
   Kostas Triaridis*, Panagiotis Kaliosis*, E-Ro Nguyen, Jingyi Xu, Hieu Le, Dimitris Samaras
   Preprint
   [arxiv]

Conferences

1. 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]

2. 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]

3. Exploring Multi-modal Fusion for Image Manipulation Detection and Localization
   Konstantinos Triaridis, Vasileios Mezaris
   MMM 2024
   [pdf, code]

Journals

1. 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]