Yossi Gandelsman

According to our database1, Yossi Gandelsman authored at least 17 papers between 2019 and 2024.

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Bibliography

2024
Synthesizing Moving People with 3D Control.
CoRR, 2024

2023
IMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks.
CoRR, 2023

Idempotent Generative Network.
CoRR, 2023

Interpreting CLIP's Image Representation via Text-Based Decomposition.
CoRR, 2023

Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative Pretraining.
CoRR, 2023

Test-Time Training on Video Streams.
CoRR, 2023

Rosetta Neurons: Mining the Common Units in a Model Zoo.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
MyStyle: A Personalized Generative Prior.
ACM Trans. Graph., 2022

Learning A Personalized Generative Prior For Face Images.
Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Posters, Vancouver BC Canada, August 7, 2022

Test-Time Training with Masked Autoencoders.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Visual Prompting via Image Inpainting.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On the Effectiveness of ViT Features as Local Semantic Descriptors.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Deep Saliency Prior for Reducing Visual Distraction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Deep ViT Features as Dense Visual Descriptors.
CoRR, 2021

Explaining in Style: Training a GAN to explain a classifier in StyleSpace.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Semantic Pyramid for Image Generation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019


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