Yedid Hoshen

Affiliations:
  • The Hebrew University of Jerusalem, Israel


According to our database1, Yedid Hoshen authored at least 69 papers between 2013 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion.
CoRR, 2024

Distilling Datasets Into Less Than One Image.
CoRR, 2024

Recovering the Pre-Fine-Tuning Weights of Generative Models.
CoRR, 2024

Classifying Nodes in Graphs without GNNs.
CoRR, 2024

2023
Set Features for Anomaly Detection.
CoRR, 2023

Detecting Deepfakes Without Seeing Any.
CoRR, 2023

Representation Learning in Anomaly Detection: Successes, Limits and a Grand Challenge.
CoRR, 2023

No Free Lunch: The Hazards of Over-Expressive Representations in Anomaly Detection.
CoRR, 2023

Set Features for Fine-grained Anomaly Detection.
CoRR, 2023

Dreamix: Video Diffusion Models are General Video Editors.
CoRR, 2023

Red PANDA: Disambiguating Image Anomaly Detection by Removing Nuisance Factors.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Unsupervised Word Segmentation Using Temporal Gradient Pseudo-Labels.
Proceedings of the IEEE International Conference on Acoustics, 2023

Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Mean-Shifted Contrastive Loss for Anomaly Detection.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Attribute-based Representations for Accurate and Interpretable Video Anomaly Detection.
CoRR, 2022

Improving Zero-Shot Models with Label Distribution Priors.
CoRR, 2022

Conffusion: Confidence Intervals for Diffusion Models.
CoRR, 2022

Red PANDA: Disambiguating Anomaly Detection by Removing Nuisance Factors.
CoRR, 2022

An Empirical Investigation of 3D Anomaly Detection and Segmentation.
CoRR, 2022

Time Series Anomaly Detection by Cumulative Radon Features.
CoRR, 2022

You Say Factorization Machine, I Say Neural Network - It's All in the Activation.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Unsupervised Word Segmentation using K Nearest Neighbors.
Proceedings of the Interspeech 2022, 2022

The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Open-Vocabulary Semantic Segmentation Using Test-Time Distillation.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Anomaly Detection Requires Better Representations.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

A Contrastive Objective for Learning Disentangled Representations.
Proceedings of the Computer Vision - ECCV 2022, 2022

Out-of-Distribution Detection Without Class Labels.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
Semantic Segmentation In-the-Wild Without Seeing Any Segmentation Examples.
CoRR, 2021

The Single-Noun Prior for Image Clustering.
CoRR, 2021

Reconstruction-Based Membership Inference Attacks are Easier on Difficult Problems.
CoRR, 2021

An Image is Worth More Than a Thousand Words: Towards Disentanglement in The Wild.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Image Shape Manipulation from a Single Augmented Training Sample.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Membership Inference Attacks are Easier on Difficult Problems.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Scaling-up Disentanglement for Image Translation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Crypto-Oriented Neural Architecture Design.
Proceedings of the IEEE International Conference on Acoustics, 2021

PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
PANDA - Adapting Pretrained Features for Anomaly Detection.
CoRR, 2020

Improving Style-Content Disentanglement in Image-to-Image Translation.
CoRR, 2020

Deep Single Image Manipulation.
CoRR, 2020

Sub-Image Anomaly Detection with Deep Pyramid Correspondences.
CoRR, 2020

Training End-to-end Single Image Generators without GANs.
CoRR, 2020

Deep Nearest Neighbor Anomaly Detection.
CoRR, 2020

Demystifying Inter-Class Disentanglement.
Proceedings of the 8th International Conference on Learning Representations, 2020

Classification-Based Anomaly Detection for General Data.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Style Generator Inversion for Image Enhancement and Animation.
CoRR, 2019

Latent Optimization for Non-adversarial Representation Disentanglement.
CoRR, 2019

Neural Separation of Observed and Unobserved Distributions.
Proceedings of the 36th International Conference on Machine Learning, 2019

Towards Unsupervised Single-channel Blind Source Separation Using Adversarial Pair Unmix-and-remix.
Proceedings of the IEEE International Conference on Acoustics, 2019

Non-Adversarial Image Synthesis With Generative Latent Nearest Neighbors.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Power to peep-all: Inference Attacks by Malicious Batteries on Mobile Devices.
Proc. Priv. Enhancing Technol., 2018

Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors.
CoRR, 2018

An Iterative Closest Point Method for Unsupervised Word Translation.
CoRR, 2018

Non-Adversarial Mapping with VAEs.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

NAM - Unsupervised Cross-Domain Image Mapping without Cycles or GANs.
Proceedings of the 6th International Conference on Learning Representations, 2018

Identifying Analogies Across Domains.
Proceedings of the 6th International Conference on Learning Representations, 2018

Non-Adversarial Unsupervised Word Translation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

NAM: Non-Adversarial Unsupervised Domain Mapping.
Proceedings of the Computer Vision - ECCV 2018, 2018

Unsupervised Correlation Analysis.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
VAIN: Attentional Multi-agent Predictive Modeling.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
An Egocentric Look at Video Photographer Identity.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Visual Learning of Arithmetic Operation.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Human-Centric Video Summarization (שער נוסף בעברית: תקצור וידאו מנקודת מבט אנושית.).
PhD thesis, 2015

Visual Learning of Arithmetic Operations.
CoRR, 2015

The Information in Temporal Histograms.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Live video synopsis for multiple cameras.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Speech acoustic modeling from raw multichannel waveforms.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Egocentric Video Biometrics.
CoRR, 2014

Wisdom of the Crowd in Egocentric Video Curation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Efficient representation of distributions for background subtraction.
Proceedings of the 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2013


  Loading...