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Alexandros Graikos
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2020 – today
- 2024
- [c9]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. CVPR 2024: 8532-8542 - [c8]Qiaomu Miao, Alexandros Graikos, Jingwei Zhang, Sounak Mondal, Minh Hoai, Dimitris Samaras:
Diffusion-Refined VQA Annotations for Semi-supervised Gaze Following. ECCV (39) 2024: 439-457 - [c7]Srikar Yellapragada, Alexandros Graikos, Prateek Prasanna, Tahsin M. Kurç, Joel H. Saltz, Dimitris Samaras:
PathLDM: Text conditioned Latent Diffusion Model for Histopathology. WACV 2024: 5170-5179 - [i9]Qiaomu Miao, Alexandros Graikos, Jingwei Zhang, Sounak Mondal, Minh Hoai, Dimitris Samaras:
Diffusion-Refined VQA Annotations for Semi-Supervised Gaze Following. CoRR abs/2406.02774 (2024) - [i8]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 abs/2407.14709 (2024) - 2023
- [c6]Alexandros Graikos, Srikar Yellapragada, Dimitris Samaras:
Conditional Generation from Pre-Trained Diffusion Models using Denoiser Representations. BMVC 2023: 478-479 - [c5]Haoyu Wu, Alexandros Graikos, Dimitris Samaras:
S-VolSDF: Sparse Multi-View Stereo Regularization of Neural Implicit Surfaces. ICCV 2023: 3533-3545 - [c4]Edward J. Hu, Nikolay Malkin, Moksh Jain, Katie E. Everett, Alexandros Graikos, Yoshua Bengio:
GFlowNet-EM for Learning Compositional Latent Variable Models. ICML 2023: 13528-13549 - [i7]Edward J. Hu, Nikolay Malkin, Moksh Jain, Katie Everett, Alexandros Graikos, Yoshua Bengio:
GFlowNet-EM for learning compositional latent variable models. CoRR abs/2302.06576 (2023) - [i6]Haoyu Wu, Alexandros Graikos, Dimitris Samaras:
S-VolSDF: Sparse Multi-View Stereo Regularization of Neural Implicit Surfaces. CoRR abs/2303.17712 (2023) - [i5]Alexandros Graikos, Srikar Yellapragada, Dimitris Samaras:
Conditional Generation from Unconditional Diffusion Models using Denoiser Representations. CoRR abs/2306.01900 (2023) - [i4]Srikar Yellapragada, Alexandros Graikos, Prateek Prasanna, Tahsin M. Kurç, Joel H. Saltz, Dimitris Samaras:
PathLDM: Text conditioned Latent Diffusion Model for Histopathology. CoRR abs/2309.00748 (2023) - [i3]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 abs/2312.07330 (2023) - 2022
- [c3]Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic, Dimitris Samaras:
Diffusion Models as Plug-and-Play Priors. NeurIPS 2022 - [c2]Esther Rolf, Nikolay Malkin, Alexandros Graikos, Ana Jojic, Caleb Robinson, Nebojsa Jojic:
Resolving label uncertainty with implicit posterior models. UAI 2022: 1707-1717 - [i2]Esther Rolf, Nikolay Malkin, Alexandros Graikos, Ana Jojic, Caleb Robinson, Nebojsa Jojic:
Resolving label uncertainty with implicit posterior models. CoRR abs/2202.14000 (2022) - [i1]Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic, Dimitris Samaras:
Diffusion models as plug-and-play priors. CoRR abs/2206.09012 (2022) - 2020
- [c1]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: 532-543
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