Lior Wolf

Orcid: 0000-0001-5578-8892

Affiliations:
  • Tel Aviv University, Blavatnik School of Computer Science, Israel


According to our database1, Lior Wolf authored at least 368 papers between 2000 and 2024.

Collaborative distances:

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Bibliography

2024
Still-Moving: Customized Video Generation without Customized Video Data.
ACM Trans. Graph., December, 2024

Training-Free Consistent Text-to-Image Generation.
ACM Trans. Graph., July, 2024

Harnessing the flexibility of neural networks to predict dynamic theoretical parameters underlying human choice behavior.
PLoS Comput. Biol., January, 2024

Domain-Generalizable Multiple-Domain Clustering.
Trans. Mach. Learn. Res., 2024

Accelerating Error Correction Code Transformers.
CoRR, 2024

Mitigating Copy Bias in In-Context Learning through Neuron Pruning.
CoRR, 2024

Iterative Object Count Optimization for Text-to-image Diffusion Models.
CoRR, 2024

DeciMamba: Exploring the Length Extrapolation Potential of Mamba.
CoRR, 2024

Factor Graph Optimization of Error-Correcting Codes for Belief Propagation Decoding.
CoRR, 2024

A Unified Implicit Attention Formulation for Gated-Linear Recurrent Sequence Models.
CoRR, 2024

Obtaining Favorable Layouts for Multiple Object Generation.
CoRR, 2024

The Hidden Attention of Mamba Models.
CoRR, 2024

DiffMoog: a Differentiable Modular Synthesizer for Sound Matching.
CoRR, 2024

Aberrant migration features in primary skin fibroblasts of Huntington's disease patients hold potential for unraveling disease progression using an image based machine learning tool.
Comput. Biol. Medicine, 2024

Viewing Transformers Through the Lens of Long Convolutions Layers.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Linear Block Error Correction Codes.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Separate and Diffuse: Using a Pretrained Diffusion Model for Better Source Separation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Dynamic Layer Tying for Parameter-Efficient Transformers.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Foundation Model for Error Correction Codes.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

The Hidden Language of Diffusion Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

A 2-Dimensional State Space Layer for Spatial Inductive Bias.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Efficient Verification-Based Face Identification.
Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

Knowledge Editing in Language Models via Adapted Direct Preference Optimization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

LLM Questionnaire Completion for Automatic Psychiatric Assessment.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Backward Lens: Projecting Language Model Gradients into the Vocabulary Space.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Fine-Tuning CLIP via Explainability Map Propagation for Boosting Image and Video Retrieval.
Proceedings of the Advances in Information Retrieval, 2024

PRILoRA: Pruned and Rank-Increasing Low-Rank Adaptation.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Multi-Dimensional Hyena for Spatial Inductive Bias.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Revisiting the Noise Model of Stochastic Gradient Descent.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Deep Quantum Error Correction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models.
ACM Trans. Graph., August, 2023

Generating 2-D and 3-D Master Faces for Dictionary Attacks With a Network-Assisted Latent Space Evolution.
IEEE Trans. Biom. Behav. Identity Sci., July, 2023

On the Long Range Abilities of Transformers.
CoRR, 2023

Zero-Shot Audio Captioning via Audibility Guidance.
CoRR, 2023

2-D SSM: A General Spatial Layer for Visual Transformers.
CoRR, 2023

Centered Self-Attention Layers.
CoRR, 2023

Anomaly Detection with Variance Stabilized Density Estimation.
CoRR, 2023

AudioToken: Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image Generation.
CoRR, 2023

Discriminative Class Tokens for Text-to-Image Diffusion Models.
CoRR, 2023

Improved Tree Search for Automatic Program Synthesis.
CoRR, 2023

Separate And Diffuse: Using a Pretrained Diffusion Model for Improving Source Separation.
CoRR, 2023

Semi-supervised learning of partial differential operators and dynamical flows.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Gradient Adjusting Networks for Domain Inversion.
Proceedings of the Image Analysis - 22nd Scandinavian Conference, 2023

Dynamically-Scaled Deep Canonical Correlation Analysis.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Pre-Training Transformers for Fingerprinting to Improve Stress Prediction in fMRI.
Proceedings of the Medical Imaging with Deep Learning, 2023

Reconstructing the Hemodynamic Response Function via a Bimodal Transformer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image Generation.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Dual Contrastive Learning for Self-Supervised ECG Mapping to Emotions and Glucose Levels.
Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023

OCD: Learning to Overfit with Conditional Diffusion Models.
Proceedings of the International Conference on Machine Learning, 2023

Denoising Diffusion Error Correction Codes.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Decision S4: Efficient Sequence-Based RL via State Spaces Layers.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Discriminative Class Tokens for Text-to-Image Diffusion Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Box-based Refinement for Weakly Supervised and Unsupervised Localization Tasks.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning a Weight Map for Weakly-Supervised Localization.
Proceedings of the IEEE International Conference on Acoustics, 2023

Energy Regularized RNNS for solving non-stationary Bandit problems.
Proceedings of the IEEE International Conference on Acoustics, 2023

Focus Your Attention (with Adaptive IIR Filters).
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Similarity Maps for Self-Training Weakly-Supervised Phrase Grounding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Optimizing AI for Mobile Malware Detection by Self-Built-Dataset GAN Oversampling and LGBM.
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2023

Zero-Shot Video Captioning by Evolving Pseudo-tokens.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

Cross-Domain Relation Adaptation.
Proceedings of the Asian Conference on Machine Learning, 2023

Degree-based stratification of nodes in Graph Neural Networks.
Proceedings of the Asian Conference on Machine Learning, 2023

2022
DeepFake Detection Based on Discrepancies Between Faces and Their Context.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Generating 2D and 3D Master Faces for Dictionary Attacks with a Network-Assisted Latent Space Evolution.
CoRR, 2022

Zero-Shot Video Captioning with Evolving Pseudo-Tokens.
CoRR, 2022

Neural Inverse Kinematics.
CoRR, 2022

On Disentangled and Locally Fair Representations.
CoRR, 2022

Video and Text Matching with Conditioned Embeddings.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

What is Where by Looking: Weakly-Supervised Open-World Phrase-Grounding without Text Inputs.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Error Correction Code Transformer.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Optimizing Relevance Maps of Vision Transformers Improves Robustness.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A-Muze-Net: Music Generation by Composing the Harmony Based on the Generated Melody.
Proceedings of the MultiMedia Modeling - 28th International Conference, 2022

Self-Supervised Transformers for fMRI representation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Explainability Guided COVID-19 Detection in CT Scans.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

End-to-End Segmentation of Medical Images via Patch-Wise Polygons Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

fMRI Neurofeedback Learning Patterns are Predictive of Personal and Clinical Traits.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

SepIt: Approaching a Single Channel Speech Separation Bound.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Zero-Shot Voice Conditioning for Denoising Diffusion TTS Models.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Geometric Transformer for End-to-End Molecule Properties Prediction.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Neural Inverse Kinematic.
Proceedings of the International Conference on Machine Learning, 2022

XAI for Transformers: Better Explanations through Conservative Propagation.
Proceedings of the International Conference on Machine Learning, 2022

Anomaly Detection for Tabular Data with Internal Contrastive Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Unsupervised Disentanglement with Tensor Product Representations on the Torus.
Proceedings of the Tenth International Conference on Learning Representations, 2022

FewGAN: Generating from the Joint Distribution of a Few Images.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Describing Sets of Images with Textual-PCA.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

No Token Left Behind: Explainability-Aided Image Classification and Generation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Image-Based CLIP-Guided Essence Transfer.
Proceedings of the Computer Vision - ECCV 2022, 2022

ZeroCap: Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Image Animation with Perturbed Masks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Dynamic Dual-Output Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Weakly Supervised Discovery of Semantic Attributes.
Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

2021
Deep learning model of fMRI connectivity predicts PTSD symptom trajectories in recent trauma survivors.
NeuroImage, 2021

Risk Bounds for Unsupervised Cross-Domain Mapping with IPMs.
J. Mach. Learn. Res., 2021

Evaluation Metrics for Conditional Image Generation.
Int. J. Comput. Vis., 2021

Pre-training and Fine-tuning Transformers for fMRI Prediction Tasks.
CoRR, 2021

Locally Shifted Attention With Early Global Integration.
CoRR, 2021

Learning Personal Representations from fMRIby Predicting Neurofeedback Performance.
CoRR, 2021

End-to-End Segmentation via Patch-wise Polygons Prediction.
CoRR, 2021

SegDiff: Image Segmentation with Diffusion Probabilistic Models.
CoRR, 2021

Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic.
CoRR, 2021

Denoising Diffusion Gamma Models.
CoRR, 2021

Mixing between the Cross Entropy and the Expectation Loss Terms.
CoRR, 2021

Non Gaussian Denoising Diffusion Models.
CoRR, 2021

HyperHyperNetworks for the Design of Antenna Arrays.
CoRR, 2021

Noise Estimation for Generative Diffusion Models.
CoRR, 2021

Explainability Guided Multi-Site COVID-19 CT Classification.
CoRR, 2021

Intersection Regularization for Extracting Semantic Attributes.
CoRR, 2021

Autoregressive Belief Propagation for Decoding Block Codes.
CoRR, 2021

Structural Analogy from a Single Image Pair.
Comput. Graph. Forum, 2021

Effectively using unsupervised machine learning in next generation astronomical surveys.
Astron. Comput., 2021

On random kernels of residual architectures.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Data Augmenting Contrastive Learning of Speech Representations in the Time Domain.
Proceedings of the IEEE Spoken Language Technology Workshop, 2021

Meta Internal Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Many-Speakers Single Channel Speech Separation with Optimal Permutation Training.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Recovering AES Keys with a Deep Cold Boot Attack.
Proceedings of the 38th International Conference on Machine Learning, 2021

HyperHyperNetwork for the Design of Antenna Arrays.
Proceedings of the 38th International Conference on Machine Learning, 2021

Fidelity-based Deep Adiabatic Scheduling.
Proceedings of the 9th International Conference on Learning Representations, 2021

Natural Statistics Of Network Activations And Implications For Knowledge Distillation.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Scene Graph tO Image Generation with Contextualized Object Layout Refinement.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Identity and Attribute Preserving Thumbnail Upscaling.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

In Defense of the Learning Without Forgetting for Task Incremental Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Adaptive Gradient Balancing for Undersampled MRI Reconstruction and Image-to-Image Translation.
Proceedings of the IEEE International Conference on Computational Photography, 2021

High Fidelity Speech Regeneration with Application to Speech Enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2021

Single Channel Voice Separation for Unknown Number of Speakers Under Reverberant and Noisy Settings.
Proceedings of the IEEE International Conference on Acoustics, 2021

Generating Master Faces for Dictionary Attacks with a Network-Assisted Latent Space Evolution.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

MTAdam: Automatic Balancing of Multiple Training Loss Terms.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Caption Enriched Samples for Improving Hateful Memes Detection.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Maximal Multiverse Learning for Promoting Cross-Task Generalization of Fine-Tuned Language Models.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

HyperSeg: Patch-Wise Hypernetwork for Real-Time Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Single-Shot Freestyle Dance Reenactment.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Transformer Interpretability Beyond Attention Visualization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Scale-Localized Abstract Reasoning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Query Expansion over the Nearest Neighbor Graph.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Shuffling Recurrent Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Sample Selection for Universal Domain Adaptation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Computational Visual Ceramicology: Matching Image Outlines to Catalog Sketches.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Visualization of Supervised and Self-Supervised Neural Networks via Attribution Guided Factorization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Unsupervised Generation of Free-Form and Parameterized Avatars.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Permuted AdaIN: Enhancing the Representation of Local Cues in Image Classifiers.
CoRR, 2020

DeepFake Detection Based on the Discrepancy Between the Face and its Context.
CoRR, 2020

A Novel Approach for Correcting Multiple Discrete Rigid In-Plane Motions Artefacts in MRI Scans.
CoRR, 2020

Structural-analogy from a Single Image Pair.
CoRR, 2020

On the Optimization Dynamics of Wide Hypernetworks.
CoRR, 2020

A Critical View of the Structural Causal Model.
CoRR, 2020

Comparing the Parameter Complexity of Hypernetworks and the Embedding-Based Alternative.
CoRR, 2020

Molecule Property Prediction and Classification with Graph Hypernetworks.
CoRR, 2020

Residual Tangent Kernels.
CoRR, 2020

A Sample Selection Approach for Universal Domain Adaptation.
CoRR, 2020

On the Convex Behavior of Deep Neural Networks in Relation to the Layers' Width.
CoRR, 2020

End to End Lip Synchronization with a Temporal AutoEncoder.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Supervised and Unsupervised Learning of Parameterized Color Enhancement.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Microvascular Dynamics from 4D Microscopy Using Temporal Segmentation.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

Generating Correct Answers for Progressive Matrices Intelligence Tests.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

On Infinite-Width Hypernetworks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

On the Modularity of Hypernetworks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Personal Representations from fMRI by Predicting Neurofeedback Performance.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Hierarchical Timbre-painting and Articulation Generation.
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

TTS Skins: Speaker Conversion via ASR.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Unsupervised Cross-Domain Singing Voice Conversion.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Voice Separation with an Unknown Number of Multiple Speakers.
Proceedings of the 37th International Conference on Machine Learning, 2020

Masked Based Unsupervised Content Transfer.
Proceedings of the 8th International Conference on Learning Representations, 2020

End to End Trainable Active Contours via Differentiable Rendering.
Proceedings of the 8th International Conference on Learning Representations, 2020

Vid2Game: Controllable Characters Extracted from Real-World Videos.
Proceedings of the 8th International Conference on Learning Representations, 2020

Comparing Vision-based to Sonar-based 3D Reconstruction.
Proceedings of the 2020 IEEE International Conference on Computational Photography, 2020

Electric Analog Circuit Design with Hypernetworks And A Differential Simulator.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Gated Hypernet Decoder for Polar Codes.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

OneGAN: Simultaneous Unsupervised Learning of Conditional Image Generation, Foreground Segmentation, and Fine-Grained Clustering.
Proceedings of the Computer Vision - ECCV 2020, 2020

Fast Search with Poor OCR.
Proceedings of the 15th Annual International Conference of the Alliance of Digital Humanities Organizations, 2020

Wish You Were Here: Context-Aware Human Generation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

ScopeFlow: Dynamic Scene Scoping for Optical Flow.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Meta Decision Trees for Explainable Recommendation Systems.
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Interactive Scene Generation via Scene Graphs with Attributes.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A Hackathon for Classical Tibetan.
J. Data Min. Digit. Humanit., 2019

Spectra2pix: Generating Nanostructure Images from Spectra.
CoRR, 2019

Computational Ceramicology.
CoRR, 2019

MML: Maximal Multiverse Learning for Robust Fine-Tuning of Language Models.
CoRR, 2019

Adaptive and Iteratively Improving Recurrent Lateral Connections.
CoRR, 2019

Mask Based Unsupervised Content Transfer.
CoRR, 2019

Conditional WGANs with Adaptive Gradient Balancing for Sparse MRI Reconstruction.
CoRR, 2019

Audio Denoising with Deep Network Priors.
CoRR, 2019

Hyper-Graph-Network Decoders for Block Codes.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Unsupervised Singing Voice Conversion.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Unsupervised Learning of the Set of Local Maxima.
Proceedings of the 7th International Conference on Learning Representations, 2019

Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer.
Proceedings of the 7th International Conference on Learning Representations, 2019

A Universal Music Translation Network.
Proceedings of the 7th International Conference on Learning Representations, 2019

Transductive Learning for Reading Handwritten Tibetan Manuscripts.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Deep Meta Functionals for Shape Representation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural Network.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Live Face De-Identification in Video.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Bidirectional One-Shot Unsupervised Domain Mapping.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Domain Intersection and Domain Difference.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Specifying Object Attributes and Relations in Interactive Scene Generation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Attention-based Wavenet Autoencoder for Universal Voice Conversion.
Proceedings of the IEEE International Conference on Acoustics, 2019

Unsupervised Polyglot Text-to-speech.
Proceedings of the IEEE International Conference on Acoustics, 2019

Semi-supervised Monaural Singing Voice Separation with a Masking Network Trained on Synthetic Mixtures.
Proceedings of the IEEE International Conference on Acoustics, 2019

Detect the Unexpected: Novelty Detection in Large Astrophysical Surveys using Fisher Vectors.
Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

End-To-End Supervised Product Quantization for Image Search and Retrieval.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Single Image Depth Estimation Trained via Depth From Defocus Cues.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Formal Approach to Explainability.
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018
Visual Analogies between Atari Games for Studying Transfer Learning in RL.
CoRR, 2018

Generalization Bounds for Unsupervised Cross-Domain Mapping with WGANs.
CoRR, 2018

Learning the Multiple Traveling Salesmen Problem with Permutation Invariant Pooling Networks.
CoRR, 2018

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

Chest pathology identification using deep feature selection with non-medical training.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018

Structured GANs.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Confidence Prediction for Lexicon-Free OCR.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

A Method for Segmentation, Matching and Alignment of Dead Sea Scrolls.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Automatic Program Synthesis of Long Programs with a Learned Garbage Collector.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Regularizing by the Variance of the Activations' Sample-Variances.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

One-Shot Unsupervised Cross Domain Translation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Fitting New Speakers Based on a Short Untranscribed Sample.
Proceedings of the 35th International Conference on Machine Learning, 2018

VoiceLoop: Voice Fitting and Synthesis via a Phonological Loop.
Proceedings of the 6th International Conference on Learning Representations, 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

The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings.
Proceedings of the 6th International Conference on Learning Representations, 2018

Toward a Dataset-Agnostic Word Segmentation Method.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Deep learning for the design of nano-photonic structures.
Proceedings of the 2018 IEEE International Conference on Computational Photography, 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

Estimating the Success of Unsupervised Image to Image Translation.
Proceedings of the Computer Vision - ECCV 2018, 2018

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

A Two-Step Disentanglement Method.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Maximally Distant Cross Domain Generators for Estimating Per-Sample Error.
CoRR, 2017

In Defense of Product Quantization.
CoRR, 2017

Two-Step Disentanglement for Financial Data.
CoRR, 2017

Unsupervised Learning of Semantic Mappings.
CoRR, 2017

Voice Synthesis for in-the-Wild Speakers via a Phonological Loop.
CoRR, 2017

Language Generation with Recurrent Generative Adversarial Networks without Pre-training.
CoRR, 2017

Robust Features Face.
CoRR, 2017

A Theory of Output-Side Unsupervised Domain Adaptation.
CoRR, 2017

One-Sided Unsupervised Domain Mapping.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Compression fractures detection on CT.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Learning to Align the Source Code to the Compiled Object Code.
Proceedings of the 34th International Conference on Machine Learning, 2017

Unsupervised Cross-Domain Image Generation.
Proceedings of the 5th International Conference on Learning Representations, 2017

Qumran Letter Restoration by Rotation and Reflection Modified PixelCNN.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

Relating Articles Textually and Visually.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

VASESKETCH: Automatic 3D Representation of Pottery from Paper Catalog Drawings.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

Unsupervised Creation of Parameterized Avatars.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Temporal Tessellation: A Unified Approach for Video Analysis.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Using the Output Embedding to Improve Language Models.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

InterpoNet, a Brain Inspired Neural Network for Optical Flow Dense Interpolation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Improved Stereo Matching with Constant Highway Networks and Reflective Confidence Learning.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Optical Flow Requires Multiple Strategies (but Only One Network).
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Linking Image and Text with 2-Way Nets.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Chest Radiograph Pathology Categorization via Transfer Learning.
Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017

2016
Active Congruency-Based Reranking.
Frontiers Digit. Humanit., 2016

The Loss Surface of Residual Networks: Ensembles and the Role of Batch Normalization.
CoRR, 2016

Temporal Tessellation for Video Annotation and Summarization.
CoRR, 2016

Capturing Deep Correlations with 2-Way Nets.
CoRR, 2016

Texture instance similarity via dense correspondences.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

ArchAIDE - Archaeological Automatic Interpretation and Documentation of cEramics.
Proceedings of the GCH 2016 - Eurographics Workshop on Graphics and Cultural Heritage, 2016

Softbot: Software-based lead-through for rigid servo robots.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Complexity of multiverse networks and their multilayer generalization.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

Learning to Count with CNN Boosting.
Proceedings of the Computer Vision - ECCV 2016, 2016

RNN Fisher Vectors for Action Recognition and Image Annotation.
Proceedings of the Computer Vision - ECCV 2016, 2016

CNN-N-Gram for HandwritingWord Recognition.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

The Multiverse Loss for Robust Transfer Learning.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

PatchBatch: A Batch Augmented Loss for Optical Flow.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Stemming and Segmentation for Classical Tibetan.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2016

2015
Face Recognition, Geometric vs. Appearance-Based.
Proceedings of the Encyclopedia of Biometrics, Second Edition, 2015

Channel-Level Acceleration of Deep Face Representations.
IEEE Access, 2015

In Defense of Word Embedding for Generic Text Representation.
Proceedings of the Natural Language Processing and Information Systems, 2015

Deep learning with non-medical training used for chest pathology identification.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Chest pathology detection using deep learning with non-medical training.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Improving OCR for an under-resourced script using unsupervised word-spotting.
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

Viral transcript alignment.
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

Live Repetition Counting.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

I know that voice: Identifying the voice actor behind the voice.
Proceedings of the International Conference on Biometrics, 2015

Web-scale training for face identification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

A Dynamic Convolutional Layer for short rangeweather prediction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Associating neural word embeddings with deep image representations using Fisher Vectors.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Propagating Waves of Directionality and Coordination Orchestrate Collective Cell Migration.
PLoS Comput. Biol., 2014

When standard RANSAC is not enough: cross-media visual matching with hypothesis relevancy.
Mach. Vis. Appl., 2014

Joint word2vec Networks for Bilingual Semantic Representations.
Int. J. Comput. Linguistics Appl., 2014

Fisher Vectors Derived from Hybrid Gaussian-Laplacian Mixture Models for Image Annotation.
CoRR, 2014

A Simple and Fast Word Spotting Method.
Proceedings of the 14th International Conference on Frontiers in Handwriting Recognition, 2014

Gait-Based Person Identification Using Motion Interchange Patterns.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

Classification of Artistic Styles Using Binarized Features Derived from a Deep Neural Network.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

Finding Inexact Quotations Within a Tibetan Buddhist Corpus.
Proceedings of the 9th Annual International Conference of the Alliance of Digital Humanities Organizations, 2014

Where is my Other Half?
Proceedings of the 9th Annual International Conference of the Alliance of Digital Humanities Organizations, 2014

A Piggyback Representation for Action Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

DeepFace: Closing the Gap to Human-Level Performance in Face Verification.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Congruency-Based Reranking.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Automatic extraction of catalog data from digital images of historical manuscripts.
Lit. Linguistic Comput., 2013

Benchmark for multi-cellular segmentation of bright field microscopy images.
BMC Bioinform., 2013

Integrating Copies Obtained from Old and New Preservation Efforts.
Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013

OCR-Free Transcript Alignment.
Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013

Fast High Dimensional Vector Multiplication Face Recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Document classification based on what is there and what should be there.
Proceedings of the 8th Annual International Conference of the Alliance of Digital Humanities Organizations, 2013

The SVM-Minus Similarity Score for Video Face Recognition.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Evaluating New Variants of Motion Interchange Patterns.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
The Action Similarity Labeling Challenge.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Computation and Palaeography: Potentials and Limits (Dagstuhl Perspectives Workshop 12382).
Dagstuhl Reports, 2012

Minimal Correlation Classification.
Proceedings of the Computer Vision - ECCV 2012, 2012

Motion Interchange Patterns for Action Recognition in Unconstrained Videos.
Proceedings of the Computer Vision - ECCV 2012, 2012

Estimating the Distinctiveness of Graphemes and Allographs in Palaeographic Classification.
Proceedings of the 7th Annual International Conference of the Alliance of Digital Humanities Organizations, 2012

2011
Gene Expression in the Rodent Brain is Associated with Its Regional Connectivity.
PLoS Comput. Biol., 2011

Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Identifying Join Candidates in the Cairo Genizah.
Int. J. Comput. Vis., 2011

Content aware video manipulation.
Comput. Vis. Image Underst., 2011

Leveraging Billions of Faces to Overcome Performance Barriers in Unconstrained Face Recognition
CoRR, 2011

Prior Knowledge for Part Correspondence.
Comput. Graph. Forum, 2011

Protein stability: a single recorded mutation aids in predicting the effects of other mutations in the same amino acid site.
Bioinform., 2011

One Shot Similarity Metric Learning for Action Recognition.
Proceedings of the Similarity-Based Pattern Recognition - First International Workshop, 2011

Computerized paleography: Tools for historical manuscripts.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Active clustering of document fragments using information derived from both images and catalogs.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Automatic Extraction of Catalog Data from Genizah Fragments' Images.
Proceedings of the 6th Annual International Conference of the Alliance of Digital Humanities Organizations, 2011

Face recognition in unconstrained videos with matched background similarity.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Variational Relevance Vector Machine for Tabular Data.
Proceedings of the 2nd Asian Conference on Machine Learning, 2010

Optimizing Photo Composition.
Comput. Graph. Forum, 2010

The Virtual Director: a Correlation-Based Online Viewing of Human Motion.
Comput. Graph. Forum, 2010

Automatic Cephalometric Evaluation of Patients Suffering from Sleep-Disordered Breathing.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Visual recognition using mappings that replicate margins.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

An eye for an eye: A single camera gaze-replacement method.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Face Recognition, Geometric vs. Appearance-Based.
Proceedings of the Encyclopedia of Biometrics, 2009

Emerging images.
ACM Trans. Graph., 2009

Automatically identifying join candidates in the Cairo Genizah.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

Local Trinary Patterns for human action recognition.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

The One-Shot similarity kernel.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Semi-automatic stereo extraction from video footage.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

One-sided object cutout using principal-channels.
Proceedings of the 11th International Conference on Computer-Aided Design and Computer Graphics, 2009

Multiple One-Shots for Utilizing Class Label Information.
Proceedings of the British Machine Vision Conference, 2009

Similarity Scores Based on Background Samples.
Proceedings of the Computer Vision, 2009

2008
Using Biologically Inspired Features for Face Processing.
Int. J. Comput. Vis., 2008

Local Regularization for Multiclass Classification Facing Significant Intraclass Variations.
Proceedings of the Computer Vision, 2008

An experimental study of employing visual appearance as a phenotype.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Robust Object Recognition with Cortex-Like Mechanisms.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

Diorama Construction From a Single Image.
Comput. Graph. Forum, 2007

Non-homogeneous Content-driven Video-retargeting.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

A Biologically Inspired System for Action Recognition.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Modeling Appearances with Low-Rank SVM.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Artificial Complex Cells via the Tropical Semiring.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Image representations beyond histograms of gradients: The role of Gestalt descriptors.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Wide Baseline Matching between Unsynchronized Video Sequences.
Int. J. Comput. Vis., 2006

A Critical View of Context.
Int. J. Comput. Vis., 2006

Patch-Based Texture Edges and Segmentation.
Proceedings of the Computer Vision, 2006

Perception Strategies in Hierarchical Vision Systems.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
Feature Selection for Unsupervised and Supervised Inference: The Emergence of Sparsity in a Weight-Based Approach.
J. Mach. Learn. Res., 2005

Gene Selection via a Spectral Approach.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2005

Robust Boosting for Learning from Few Examples.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Combining Variable Selection with Dimensionality Reduction.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Object Recognition with Features Inspired by Visual Cortex.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

A Unified System For Object Detection, Texture Recognition, and Context Analysis Based on the Standard Model Feature Set.
Proceedings of the British Machine Vision Conference 2005, Oxford, UK, September 2005, 2005

2004
Kernel Feature Selection with Side Data Using a Spectral Approach.
Proceedings of the Computer Vision, 2004

2003
Dynamic structure from motion using uncalibrated cameras and unsegmented scenes (חישובי מבנה של סצנה דינאמית מתנועת מצלמה, עבור מצלמות לא ידועות וללא סגמנטציה נתונה.).
PhD thesis, 2003

Learning over Sets using Kernel Principal Angles.
J. Mach. Learn. Res., 2003

Feature Selection for Unsupervised and Supervised Inference: the Emergence of Sparsity in a Weighted-based Approach.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

Kernel Principal Angles for Classification Machines with Applications to Image Sequence Interpretation.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

2002
On Projection Matrices P<sup>k</sup>-> P<sup>2</sup>k=3, ..., 6, and their Applications in Computer Vision.
Int. J. Comput. Vis., 2002

Video de-Abstraction or How to save money on your wedding video.
Proceedings of the 6th IEEE Workshop on Applications of Computer Vision (WACV 2002), 2002

Sequence-to-Sequence Self Calibration.
Proceedings of the Computer Vision, 2002

2001
Omni-Rig: Linear Self-Recalibration of a Rig with Varying Internal and External Parameters.
Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

Affine 3-D Reconstruction from Two Projective Images of Independently Translating Planes.
Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

On Projection Matrices and their Applications in Computer Vision.
Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

Two-body Segmentation from Two Perspective Views.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

Time-varying Shape Tensors for Scenes with Multiply Moving Points.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

2000
Join Tensors: On 3D-to-3D Alignment of Dynamic Sets.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

On the Structure and Properties of the Quadrifocal Tensor.
Proceedings of the Computer Vision - ECCV 2000, 6th European Conference on Computer Vision, Dublin, Ireland, June 26, 2000

Homography Tensors: On Algebraic Entities that Represent Three Views of Static or Moving Planar Points.
Proceedings of the Computer Vision - ECCV 2000, 6th European Conference on Computer Vision, Dublin, Ireland, June 26, 2000


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