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20192022
most citedHierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample

12 citations · 34 across the 10 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CV2020★ 5 cited

Visualization of Supervised and Self-Supervised Neural Networks via Attribution Guided Factorization

Shir Gur, Ameen Ali, Lior Wolf

Neural network visualization techniques mark image locations by their relevancy to the network's classification. Existing methods are effective in highlighting the regions that aff…

cs.CV2020

Transformer Interpretability Beyond Attention Visualization

Hila Chefer, Shir Gur, Lior Wolf

Self-attention techniques, and specifically Transformers, are dominating the field of text processing and are becoming increasingly popular in computer vision classification tasks.…

cs.CV2020★ 12 cited

Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample

Shir Gur, Sagie Benaim, Lior Wolf

We consider the task of generating diverse and novel videos from a single video sample. Recently, new hierarchical patch-GAN based approaches were proposed for generating diverse i…

eess.IV2020

Microvascular Dynamics from 4D Microscopy Using Temporal Segmentation

Shir Gur, Lior Wolf, Lior Golgher +1

Recently developed methods for rapid continuous volumetric two-photon microscopy facilitate the observation of neuronal activity in hundreds of individual neurons and changes in bl…

cs.CV2020★ 2 cited

Single Image Depth Estimation Trained via Depth from Defocus Cues

Shir Gur, Lior Wolf

Estimating depth from a single RGB images is a fundamental task in computer vision, which is most directly solved using supervised deep learning. In the field of unsupervised learn…