Alexandros Graikos

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Diffusion Model

Depth From Motion

Image Generation

Top Venues

Publications

Qiaomu Miao, Alexandros Graikos, Jingwei Zhang, Sounak Mondal, Minh Hoai, Dimitris Samaras
Diffusion-Refined VQA Annotations for Semi-Supervised Gaze Following. CoRR (2024)
Minh-Quan Le, Alexandros Graikos, Srikar Yellapragada, Rajarsi Gupta, Joel H. Saltz, Dimitris Samaras
∞-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite Dimensions. CoRR (2024)
Srikar Yellapragada, Alexandros Graikos, Prateek Prasanna, Tahsin M. Kurç, Joel H. Saltz, Dimitris Samaras
PathLDM: Text conditioned Latent Diffusion Model for Histopathology. WACV (2024)
Alexandros Graikos, Srikar Yellapragada, Dimitris Samaras
Conditional Generation from Unconditional Diffusion Models using Denoiser Representations. CoRR (2023)
Alexandros Graikos, Srikar Yellapragada, Minh-Quan Le, Saarthak Kapse, Prateek Prasanna, Joel H. Saltz, Dimitris Samaras
Learned representation-guided diffusion models for large-image generation. CoRR (2023)
Haoyu Wu, Alexandros Graikos, Dimitris Samaras
S-VolSDF: Sparse Multi-View Stereo Regularization of Neural Implicit Surfaces. CoRR (2023)
Haoyu Wu, Alexandros Graikos, Dimitris Samaras
S-VolSDF: Sparse Multi-View Stereo Regularization of Neural Implicit Surfaces. ICCV (2023)
Srikar Yellapragada, Alexandros Graikos, Prateek Prasanna, Tahsin M. Kurç, Joel H. Saltz, Dimitris Samaras
PathLDM: Text conditioned Latent Diffusion Model for Histopathology. CoRR (2023)
Alexandros Graikos, Srikar Yellapragada, Dimitris Samaras
Conditional Generation from Pre-Trained Diffusion Models using Denoiser Representations. BMVC (2023)
Edward J. Hu, Nikolay Malkin, Moksh Jain, Katie Everett, Alexandros Graikos, Yoshua Bengio
GFlowNet-EM for learning compositional latent variable models. CoRR (2023)
Edward J. Hu, Nikolay Malkin, Moksh Jain, Katie E. Everett, Alexandros Graikos, Yoshua Bengio
GFlowNet-EM for Learning Compositional Latent Variable Models. ICML (2023)
Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic, Dimitris Samaras
Diffusion Models as Plug-and-Play Priors. NeurIPS (2022)
Esther Rolf, Nikolay Malkin, Alexandros Graikos, Ana Jojic, Caleb Robinson, Nebojsa Jojic
Resolving label uncertainty with implicit posterior models. UAI (2022)
Esther Rolf, Nikolay Malkin, Alexandros Graikos, Ana Jojic, Caleb Robinson, Nebojsa Jojic
Resolving label uncertainty with implicit posterior models. CoRR (2022)
Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic, Dimitris Samaras
Diffusion models as plug-and-play priors. CoRR (2022)
Alexandros Graikos, Vasileios S. Charisis, Dimitrios Iakovakis, Stelios Hadjidimitriou, Leontios J. Hadjileontiadis
Single Image-Based Food Volume Estimation Using Monocular Depth-Prediction Networks. HCI (9) (2020)