Single Image-Based Food Volume Estimation Using Monocular Depth-Prediction Networks. - Alexandros Graikos; Vasileios S. Charisis; Dimitrios Iakovakis; Stelios Hadjidimitriou; Leontios J. Hadjileontiadis (HCI (9), 2020)

Diffusion Models as Plug-and-Play Priors. - Alexandros Graikos; Nikolay Malkin; Nebojsa Jojic; Dimitris Samaras (NeurIPS, 2022)

Resolving label uncertainty with implicit posterior models. - Esther Rolf; Nikolay Malkin; Alexandros Graikos; Ana Jojic; Caleb Robinson; Nebojsa Jojic (UAI, 2022)

Conditional Generation from Pre-Trained Diffusion Models using Denoiser Representations. - Alexandros Graikos; Srikar Yellapragada; Dimitris Samaras (BMVC, 2023)

S-VolSDF: Sparse Multi-View Stereo Regularization of Neural Implicit Surfaces. - Haoyu Wu; Alexandros Graikos; Dimitris Samaras (ICCV, 2023)

GFlowNet-EM for Learning Compositional Latent Variable Models. - Edward J. Hu; Nikolay Malkin; Moksh Jain; Katie E. Everett; Alexandros Graikos; Yoshua Bengio (ICML, 2023)

Conditional Generation from Unconditional Diffusion Models using Denoiser Representations. - Alexandros Graikos; Srikar Yellapragada; Dimitris Samaras (CoRR, 2023)

Learned Representation-Guided Diffusion Models for Large-Image Generation. - Alexandros Graikos; Srikar Yellapragada; Minh-Quan Le; Saarthak Kapse; Prateek Prasanna; Joel H. Saltz; Dimitris Samaras (CVPR, 2024)

∞-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite Dimensions. - Minh-Quan Le; Alexandros Graikos; Srikar Yellapragada; Rajarsi Gupta 001; Joel H. Saltz; Dimitris Samaras (ECCV (32), 2024)

Diffusion-Refined VQA Annotations for Semi-supervised Gaze Following. - Qiaomu Miao; Alexandros Graikos; Jingwei Zhang; Sounak Mondal; Minh Hoai; Dimitris Samaras (ECCV (39), 2024)

PathLDM: Text conditioned Latent Diffusion Model for Histopathology. - Srikar Yellapragada; Alexandros Graikos; Prateek Prasanna; Tahsin M. Kurç; Joel H. Saltz; Dimitris Samaras (WACV, 2024)

Fast constrained sampling in pre-trained diffusion models. - Alexandros Graikos; Nebojsa Jojic; Dimitris Samaras (CoRR, 2024)

Gen-SIS: Generative Self-augmentation Improves Self-supervised Learning. - Varun Belagali; Srikar Yellapragada; Alexandros Graikos; Saarthak Kapse; Zilinghan Li; Tarak Nath Nandi; Ravi K. Madduri; Prateek Prasanna; Joel H. Saltz; Dimitris Samaras (CoRR, 2024)

ZoomLDM: Latent Diffusion Model for Multi-scale Image Generation. - Srikar Yellapragada; Alexandros Graikos; Kostas Triaridis; Prateek Prasanna; Rajarsi Gupta 001; Joel H. Saltz; Dimitris Samaras (CVPR, 2025)

Pathology Image Compression with Pre-trained Autoencoders. - Srikar Yellapragada; Alexandros Graikos; Kostas Triaridis; Zilinghan Li; Tarak Nath Nandi; Ravi K. Madduri; Prateek Prasanna; Joel H. Saltz; Dimitris Samaras (CoRR, 2025)

PathSegDiff: Pathology Segmentation using Diffusion model representations. - Sachin Kumar Danisetty; Alexandros Graikos; Srikar Yellapragada; Dimitris Samaras (CoRR, 2025)

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 M. Kurç; Rajarsi R. Gupta; Joel H. Saltz; et al. (CoRR, 2025)