Publications

* Denotes equal contribution

Pre-Prints and Workshops

  1. 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]

  2. 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]

  3. 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]