Alexandros Graikos

According to our database, Alexandros Graikos authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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 R. Gupta, Joel H. Saltz, Dimitris Samaras

CoRR, 2024

Fast constrained sampling in pre-trained diffusion models.

Alexandros Graikos, Nebojsa Jojic, Dimitris Samaras

CoRR, 2024

PathLDM: Text conditioned Latent Diffusion Model for Histopathology.

Srikar Yellapragada, Alexandros Graikos, Prateek Prasanna, Tahsin M. Kurç, Joel H. Saltz, Dimitris Samaras

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Diffusion-Refined VQA Annotations for Semi-supervised Gaze Following.

Qiaomu Miao, Alexandros Graikos, Jingwei Zhang, Sounak Mondal, Minh Hoai, Dimitris Samaras

Proceedings of the Computer Vision - ECCV 2024, 2024

∞-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite Dimensions.

Minh-Quan Le, Alexandros Graikos, Srikar Yellapragada, Rajarsi Gupta, Joel H. Saltz, Dimitris Samaras

Proceedings of the Computer Vision - ECCV 2024, 2024

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Conditional Generation from Unconditional Diffusion Models using Denoiser Representations.

Alexandros Graikos, Srikar Yellapragada, Dimitris Samaras

CoRR, 2023

GFlowNet-EM for Learning Compositional Latent Variable Models.

Edward J. Hu, Nikolay Malkin, Moksh Jain, Katie E. Everett, Alexandros Graikos, Yoshua Bengio

Proceedings of the International Conference on Machine Learning, 2023

S-VolSDF: Sparse Multi-View Stereo Regularization of Neural Implicit Surfaces.

Haoyu Wu, Alexandros Graikos, Dimitris Samaras

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Conditional Generation from Pre-Trained Diffusion Models using Denoiser Representations.

Alexandros Graikos, Srikar Yellapragada, Dimitris Samaras

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Resolving label uncertainty with implicit posterior models.

Esther Rolf, Nikolay Malkin, Alexandros Graikos, Ana Jojic, Caleb Robinson, Nebojsa Jojic

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Diffusion Models as Plug-and-Play Priors.

Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic, Dimitris Samaras

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

Single Image-Based Food Volume Estimation Using Monocular Depth-Prediction Networks.

Alexandros Graikos, Vasileios S. Charisis, Dimitrios Iakovakis, Stelios Hadjidimitriou, Leontios J. Hadjileontiadis

Proceedings of the Universal Access in Human-Computer Interaction. Applications and Practice, 2020