
Projects
arXiv New!
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
CVPR 2025
ZoomLDM: Latent Diffusion Model for multi-scale image generation
Srikar Yellapragada*, Alexandros Graikos*, Kostas Triaridis, Prateek Prasanna, Rajarsi Gupta, Joel Saltz, Dimitris Samaras
arXiv
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 Saltz, Dimitris Samaras
ECCV 2024
∞-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite Dimensions
Minh-Quan Le⋆, Alexandros Graikos⋆, Srikar Yellapragada, Rajarsi Gupta, Joel Saltz, Dimitris Samaras
CVPR 2024
Learned Representation-Guided Diffusion Models for Large-Image Generation
Alexandros Graikos*, Srikar Yellapragada*, Minh-Quan Le, Saarthak Kapse, Prateek Prasanna, Joel Saltz, Dimitris Samaras
WACV 2024
PathLDM: Text Conditioned Latent Diffusion Model for Histopathology
Srikar Yellapragada*, Alexandros Graikos*, Prateek Prasanna, Tahsin Kurc, Joel Saltz, Dimitris Samaras