Search Results for author: Lior Wolf

Found 134 papers, 57 papers with code

Mixing between the Cross Entropy and the Expectation Loss Terms

no code implementations12 Sep 2021 Barak Battash, Lior Wolf, Tamir Hazan

The cross entropy loss is widely used due to its effectiveness and solid theoretical grounding.

Generating Master Faces for Dictionary Attacks with a Network-Assisted Latent Space Evolution

no code implementations1 Aug 2021 Ron Shmelkin, Tomer Friedlander, Lior Wolf

A master face is a face image that passes face-based identity-authentication for a large portion of the population.

Face Recognition

In Defense of the Learning Without Forgetting for Task Incremental Learning

no code implementations26 Jul 2021 Guy Oren, Lior Wolf

Catastrophic forgetting is one of the major challenges on the road for continual learning systems, which are presented with an on-line stream of tasks.

Continual Learning Incremental Learning +1

Non Gaussian Denoising Diffusion Models

no code implementations14 Jun 2021 Eliya Nachmani, Robin San Roman, Lior Wolf

Moreover, we show that using a mixture of Gaussian noise variables in the diffusion process improves the performance over a diffusion process that is based on a single distribution.

Denoising

Recovering AES Keys with a Deep Cold Boot Attack

no code implementations9 Jun 2021 Itamar Zimerman, Eliya Nachmani, Lior Wolf

In this work, we combine a novel cryptographic variant of a deep error correcting code technique with a modified SAT solver scheme to apply the attack on AES keys.

Cryptanalysis

Identity and Attribute Preserving Thumbnail Upscaling

no code implementations30 May 2021 Noam Gat, Sagie Benaim, Lior Wolf

We consider the task of upscaling a low resolution thumbnail image of a person, to a higher resolution image, which preserves the person's identity and other attributes.

HyperHyperNetworks for the Design of Antenna Arrays

1 code implementation9 May 2021 Shahar Lutati, Lior Wolf

Our experiments demonstrate that our approach is able to design novel antennas and antenna arrays that are compliant with the design requirements, considerably better than the baseline methods.

A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection

2 code implementations29 Apr 2021 Shelly Sheynin, Sagie Benaim, Lior Wolf

We demonstrate the superiority of our method on both the one-shot and few-shot settings, on the datasets of Paris, CIFAR10, MNIST and FashionMNIST as well as in the setting of defect detection on MVTec.

Defect Detection Few Shot Anomaly Detection

Noise Estimation for Generative Diffusion Models

no code implementations6 Apr 2021 Robin San-Roman, Eliya Nachmani, Lior Wolf

Generative diffusion models have emerged as leading models in speech and image generation.

Denoising Image Generation +1

Adaptive Gradient Balancing for UndersampledMRI Reconstruction and Image-to-Image Translation

1 code implementation5 Apr 2021 Itzik Malkiel, Sangtae Ahn, Valentina Taviani, Anne Menini, Lior Wolf, Christopher J. Hardy

Recent accelerated MRI reconstruction models have used Deep Neural Networks (DNNs) to reconstruct relatively high-quality images from highly undersampled k-space data, enabling much faster MRI scanning.

Image-to-Image Translation MRI Reconstruction

Maximal Multiverse Learning for Promoting Cross-Task Generalization of Fine-Tuned Language Models

no code implementations EACL 2021 Itzik Malkiel, Lior Wolf

Language modeling with BERT consists of two phases of (i) unsupervised pre-training on unlabeled text, and (ii) fine-tuning for a specific supervised task.

Language Modelling Unsupervised Pre-training

Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers

1 code implementation29 Mar 2021 Hila Chefer, Shir Gur, Lior Wolf

Transformers are increasingly dominating multi-modal reasoning tasks, such as visual question answering, achieving state-of-the-art results thanks to their ability to contextualize information using the self-attention and co-attention mechanisms.

Object Detection Question Answering +2

Weakly Supervised Recovery of Semantic Attributes

no code implementations22 Mar 2021 Ameen Ali, Tomer Galanti, Evgeniy Zheltonozhskiy, Chaim Baskin, Lior Wolf

We consider the problem of the extraction of semantic attributes, supervised only with classification labels.

High Fidelity Speech Regeneration with Application to Speech Enhancement

no code implementations31 Jan 2021 Adam Polyak, Lior Wolf, Yossi Adi, Ori Kabeli, Yaniv Taigman

Speech enhancement has seen great improvement in recent years mainly through contributions in denoising, speaker separation, and dereverberation methods that mostly deal with environmental effects on vocal audio.

Denoising Speaker Separation +2

Autoregressive Belief Propagation for Decoding Block Codes

no code implementations23 Jan 2021 Eliya Nachmani, Lior Wolf

We revisit recent methods that employ graph neural networks for decoding error correcting codes and employ messages that are computed in an autoregressive manner.

Image Animation with Refined Masking

no code implementations1 Jan 2021 Yoav Shalev, Lior Wolf

Conditioned on the source image, the transformed mask is then decoded by a multi-scale generator that renders a realistic image, in which the content of the source frame is animated by the pose in the driving video.

Image Animation

Fidelity-based Deep Adiabatic Scheduling

no code implementations ICLR 2021 Eli Ovits, Lior Wolf

Adiabatic quantum computation is a form of computation that acts by slowly interpolating a quantum system between an easy to prepare initial state and a final state that represents a solution to a given computational problem.

Solving Non-Stationary Bandit Problems with an RNN and an Energy Minimization Loss

no code implementations1 Jan 2021 Michael Rotman, Lior Wolf

We consider a Multi-Armed Bandit problem in which the rewards are non-stationary and are dependent on past actions and potentially on past contexts.

HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation

1 code implementation CVPR 2021 Yuval Nirkin, Lior Wolf, Tal Hassner

We present a novel, real-time, semantic segmentation network in which the encoder both encodes and generates the parameters (weights) of the decoder.

Real-Time Semantic Segmentation

Transformer Interpretability Beyond Attention Visualization

1 code implementation CVPR 2021 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.

Classification General Classification +1

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

1 code implementation3 Dec 2020 Shir Gur, Ameen Ali, Lior Wolf

However, as we show, these methods are limited in their ability to identify the support for alternative classifications, an effect we name {\em the saliency bias} hypothesis.

Single-Shot Freestyle Dance Reenactment

no code implementations CVPR 2021 Oran Gafni, Oron Ashual, Lior Wolf

The task of motion transfer between a source dancer and a target person is a special case of the pose transfer problem, in which the target person changes their pose in accordance with the motions of the dancer.

Pose Transfer

Image Animation with Perturbed Masks

no code implementations13 Nov 2020 Yoav Shalev, Lior Wolf

Conditioned on the source image, the transformed mask is then decoded by a multi-scale generator that renders a realistic image, in which the content of the source frame is animated by the pose in the driving video.

Image Animation

Generating Correct Answers for Progressive Matrices Intelligence Tests

no code implementations NeurIPS 2020 Niv Pekar, Yaniv Benny, Lior Wolf

Raven's Progressive Matrices are multiple-choice intelligence tests, where one tries to complete the missing location in a $3\times 3$ grid of abstract images.

Scene Graph to Image Generation with Contextualized Object Layout Refinement

no code implementations23 Sep 2020 Maor Ivgi, Yaniv Benny, Avichai Ben-David, Jonathan Berant, Lior Wolf

We empirically show on the COCO-STUFF dataset that our approach improves the quality of both the intermediate layout and the final image.

Image Generation

Scale-Localized Abstract Reasoning

2 code implementations CVPR 2021 Yaniv Benny, Niv Pekar, Lior Wolf

First, it searches for relational patterns in multiple resolutions, which allows it to readily detect visual relations, such as location, in higher resolution, while allowing the lower resolution module to focus on semantic relations, such as shape type.

Relational Reasoning

Hierarchical Timbre-Painting and Articulation Generation

1 code implementation30 Aug 2020 Michael Michelashvili, Lior Wolf

We present a fast and high-fidelity method for music generation, based on specified f0 and loudness, such that the synthesized audio mimics the timbre and articulation of a target instrument.

Music Generation

DeepFake Detection Based on the Discrepancy Between the Face and its Context

no code implementations27 Aug 2020 Yuval Nirkin, Lior Wolf, Yosi Keller, Tal Hassner

Our approach involves two networks: (i) a face identification network that considers the face region bounded by a tight semantic segmentation, and (ii) a context recognition network that considers the face context (e. g., hair, ears, neck).

DeepFake Detection Face Identification +2

Unsupervised Cross-Domain Singing Voice Conversion

no code implementations6 Aug 2020 Adam Polyak, Lior Wolf, Yossi Adi, Yaniv Taigman

We present a wav-to-wav generative model for the task of singing voice conversion from any identity.

automatic-speech-recognition Speech Recognition +1

Shuffling Recurrent Neural Networks

1 code implementation14 Jul 2020 Michael Rotman, Lior Wolf

We propose a novel recurrent neural network model, where the hidden state $h_t$ is obtained by permuting the vector elements of the previous hidden state $h_{t-1}$ and adding the output of a learned function $b(x_t)$ of the input $x_t$ at time $t$.

Data Augmenting Contrastive Learning of Speech Representations in the Time Domain

1 code implementation2 Jul 2020 Eugene Kharitonov, Morgane Rivière, Gabriel Synnaeve, Lior Wolf, Pierre-Emmanuel Mazaré, Matthijs Douze, Emmanuel Dupoux

Contrastive Predictive Coding (CPC), based on predicting future segments of speech based on past segments is emerging as a powerful algorithm for representation learning of speech signal.

Contrastive Learning Data Augmentation +1

MTAdam: Automatic Balancing of Multiple Training Loss Terms

1 code implementation25 Jun 2020 Itzik Malkiel, Lior Wolf

When training neural models, it is common to combine multiple loss terms.

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

no code implementations24 Jun 2020 Michael Rotman, Rafi Brada, Israel Beniaminy, Sangtae Ahn, Christopher J. Hardy, Lior Wolf

Motion artefacts created by patient motion during an MRI scan occur frequently in practice, often rendering the scans clinically unusable and requiring a re-scan.

Wish You Were Here: Context-Aware Human Generation

no code implementations CVPR 2020 Oran Gafni, Lior Wolf

We present a novel method for inserting objects, specifically humans, into existing images, such that they blend in a photorealistic manner, while respecting the semantic context of the scene.

Pose Transfer

Masked Based Unsupervised Content Transfer

1 code implementation ICLR 2020 Ron Mokady, Sagie Benaim, Lior Wolf, Amit Bermano

We consider the problem of translating, in an unsupervised manner, between two domains where one contains some additional information compared to the other.

Weakly-Supervised Semantic Segmentation

Evaluation Metrics for Conditional Image Generation

no code implementations26 Apr 2020 Yaniv Benny, Tomer Galanti, Sagie Benaim, Lior Wolf

We present two new metrics for evaluating generative models in the class-conditional image generation setting.

Conditional Image Generation

Structural-analogy from a Single Image Pair

1 code implementation5 Apr 2020 Sagie Benaim, Ron Mokady, Amit Bermano, Daniel Cohen-Or, Lior Wolf

In this paper, we explore the capabilities of neural networks to understand image structure given only a single pair of images, A and B.

Unsupervised Image-To-Image Translation

On Infinite-Width Hypernetworks

1 code implementation NeurIPS 2020 Etai Littwin, Tomer Galanti, Lior Wolf, Greg Yang

{\em Hypernetworks} are architectures that produce the weights of a task-specific {\em primary network}.

Meta-Learning

Voice Separation with an Unknown Number of Multiple Speakers

2 code implementations ICML 2020 Eliya Nachmani, Yossi Adi, Lior Wolf

We present a new method for separating a mixed audio sequence, in which multiple voices speak simultaneously.

Speech Separation

ScopeFlow: Dynamic Scene Scoping for Optical Flow

1 code implementation CVPR 2020 Aviram Bar-Haim, Lior Wolf

We propose to modify the common training protocols of optical flow, leading to sizable accuracy improvements without adding to the computational complexity of the training process.

Optical Flow Estimation

On the Modularity of Hypernetworks

1 code implementation NeurIPS 2020 Tomer Galanti, Lior Wolf

Besides, we show that for a structured target function, the overall number of trainable parameters in a hypernetwork is smaller by orders of magnitude than the number of trainable parameters of a standard neural network and an embedding method.

A Critical View of the Structural Causal Model

no code implementations23 Feb 2020 Tomer Galanti, Ofir Nabati, Lior Wolf

In the multivariate case, where one can ensure that the complexities of the cause and effect are balanced, we propose a new adversarial training method that mimics the disentangled structure of the causal model.

Molecule Property Prediction and Classification with Graph Hypernetworks

1 code implementation1 Feb 2020 Eliya Nachmani, Lior Wolf

In this work, we demonstrate that the replacement of the underlying networks with hypernetworks leads to a boost in performance, obtaining state of the art results in various benchmarks.

Classification General Classification

On Random Kernels of Residual Architectures

no code implementations28 Jan 2020 Etai Littwin, Tomer Galanti, Lior Wolf

We derive finite width and depth corrections for the Neural Tangent Kernel (NTK) of ResNets and DenseNets.

A Formal Approach to Explainability

no code implementations15 Jan 2020 Lior Wolf, Tomer Galanti, Tamir Hazan

We regard explanations as a blending of the input sample and the model's output and offer a few definitions that capture various desired properties of the function that generates these explanations.

Structured GANs

no code implementations15 Jan 2020 Irad Peleg, Lior Wolf

We present Generative Adversarial Networks (GANs), in which the symmetric property of the generated images is controlled.

Image Generation

Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer

2 code implementations ICLR 2019 Ori Press, Tomer Galanti, Sagie Benaim, Lior Wolf

Thus, in the above example, we can create, for every person without glasses a version with the glasses observed in any face image.

Unsupervised Learning of the Set of Local Maxima

no code implementations ICLR 2019 Lior Wolf, Sagie Benaim, Tomer Galanti

Two functions are learned: (i) a set indicator c, which is a binary classifier, and (ii) a comparator function h that given two nearby samples, predicts which sample has the higher value of the unknown function v. Loss terms are used to ensure that all training samples x are a local maxima of v, according to h and satisfy c(x)=1.

Anomaly Detection General Classification

Single Image Depth Estimation Trained via Depth from Defocus Cues

1 code implementation CVPR 2019 Shir Gur, Lior Wolf

We evaluate our method on data derived from five common datasets for depth estimation and lightfield images, and present results that are on par with supervised methods on KITTI and Make3D datasets and outperform unsupervised learning approaches.

Lightfield Monocular Depth Estimation +1

On the Convex Behavior of Deep Neural Networks in Relation to the Layers' Width

no code implementations14 Jan 2020 Etai Littwin, Lior Wolf

The Hessian of neural networks can be decomposed into a sum of two matrices: (i) the positive semidefinite generalized Gauss-Newton matrix G, and (ii) the matrix H containing negative eigenvalues.

Microvascular Dynamics from 4D Microscopy Using Temporal Segmentation

no code implementations14 Jan 2020 Shir Gur, Lior Wolf, Lior Golgher, Pablo Blinder

Recently developed methods for rapid continuous volumetric two-photon microscopy facilitate the observation of neuronal activity in hundreds of individual neurons and changes in blood flow in adjacent blood vessels across a large volume of living brain at unprecedented spatio-temporal resolution.

A Sample Selection Approach for Universal Domain Adaptation

no code implementations14 Jan 2020 Omri Lifshitz, Lior Wolf

We study the problem of unsupervised domain adaption in the universal scenario, in which only some of the classes are shared between the source and target domains.

Universal Domain Adaptation

OneGAN: Simultaneous Unsupervised Learning of Conditional Image Generation, Foreground Segmentation, and Fine-Grained Clustering

no code implementations ECCV 2020 Yaniv Benny, Lior Wolf

We present a method for simultaneously learning, in an unsupervised manner, (i) a conditional image generator, (ii) foreground extraction and segmentation, (iii) clustering into a two-level class hierarchy, and (iv) object removal and background completion, all done without any use of annotation.

Conditional Image Generation

Supervised and Unsupervised Learning of Parameterized Color Enhancement

no code implementations30 Dec 2019 Yoav Chai, Raja Giryes, Lior Wolf

We treat the problem of color enhancement as an image translation task, which we tackle using both supervised and unsupervised learning.

Image Enhancement

Meta Decision Trees for Explainable Recommendation Systems

no code implementations19 Dec 2019 Eyal Shulman, Lior Wolf

We build the trees by applying learned regression functions to obtain the decision rules as well as the values at the leaf nodes.

Recommendation Systems

Spectra2pix: Generating Nanostructure Images from Spectra

no code implementations26 Nov 2019 Itzik Malkiel, Michael Mrejen, Lior Wolf, Haim Suchowski

Our model architecture is not limited to a closed set of nanostructure shapes, and can be trained for the design of any geometry.

Computational Ceramicology

no code implementations22 Nov 2019 Barak Itkin, Lior Wolf, Nachum Dershowitz

One method relies on the shape of the fracture outline of a sherd; the other is based on decorative features.

Data Augmentation

Live Face De-Identification in Video

no code implementations ICCV 2019 Oran Gafni, Lior Wolf, Yaniv Taigman

We propose a method for face de-identification that enables fully automatic video modification at high frame rates.

De-identification

A Gated Hypernet Decoder for Polar Codes

no code implementations8 Nov 2019 Eliya Nachmani, Lior Wolf

Hypernetworks were recently shown to improve the performance of message passing algorithms for decoding error correcting codes.

Electric Analog Circuit Design with Hypernetworks and a Differential Simulator

no code implementations8 Nov 2019 Michael Rotman, Lior Wolf

A two-stage network is used, which first generates a chain of circuit components and then predicts their parameters.

MML: Maximal Multiverse Learning for Robust Fine-Tuning of Language Models

1 code implementation5 Nov 2019 Itzik Malkiel, Lior Wolf

In this work, we present a method that leverages BERT's fine-tuning phase to its fullest, by applying an extensive number of parallel classifier heads, which are enforced to be orthogonal, while adaptively eliminating the weaker heads during training.

Unsupervised Pre-training

Adaptive and Iteratively Improving Recurrent Lateral Connections

1 code implementation16 Oct 2019 Barak Battash, Lior Wolf

The current leading computer vision models are typically feed forward neural models, in which the output of one computational block is passed to the next one sequentially.

Action Recognition

Fast Search with Poor OCR

no code implementations17 Sep 2019 Taivanbat Badamdorj, Adiel Ben-Shalom, Nachum Dershowitz, Lior Wolf

The indexing and searching of historical documents have garnered attention in recent years due to massive digitization efforts of important collections worldwide.

Optical Character Recognition

Hyper-Graph-Network Decoders for Block Codes

1 code implementation NeurIPS 2019 Eliya Nachmani, Lior Wolf

Neural decoders were shown to outperform classical message passing techniques for short BCH codes.

Bidirectional One-Shot Unsupervised Domain Mapping

1 code implementation ICCV 2019 Tomer Cohen, Lior Wolf

We study the problem of mapping between a domain $A$, in which there is a single training sample and a domain $B$, for which we have a richer training set.

One Shot Image to Image Translation

Domain Intersection and Domain Difference

1 code implementation ICCV 2019 Sagie Benaim, Michael Khaitov, Tomer Galanti, Lior Wolf

We present a method for recovering the shared content between two visual domains as well as the content that is unique to each domain.

Deep Meta Functionals for Shape Representation

1 code implementation ICCV 2019 Gidi Littwin, Lior Wolf

We present a new method for 3D shape reconstruction from a single image, in which a deep neural network directly maps an image to a vector of network weights.

3D Shape Reconstruction

Mask Based Unsupervised Content Transfer

1 code implementation15 Jun 2019 Ron Mokady, Sagie Benaim, Lior Wolf, Amit Bermano

We consider the problem of translating, in an unsupervised manner, between two domains where one contains some additional information compared to the other.

Weakly-Supervised Semantic Segmentation

Conditional WGANs with Adaptive Gradient Balancing for Sparse MRI Reconstruction

no code implementations2 May 2019 Itzik Malkiel, Sangtae Ahn, Valentina Taviani, Anne Menini, Lior Wolf, Christopher J. Hardy

Recent sparse MRI reconstruction models have used Deep Neural Networks (DNNs) to reconstruct relatively high-quality images from highly undersampled k-space data, enabling much faster MRI scanning.

MRI Reconstruction

Autoencoder-based Music Translation

no code implementations ICLR 2019 Noam Mor, Lior Wolf, Adam Polyak, Yaniv Taigman

We present a method for translating music across musical instruments and styles.

TTS Skins: Speaker Conversion via ASR

no code implementations18 Apr 2019 Adam Polyak, Lior Wolf, Yaniv Taigman

We present a fully convolutional wav-to-wav network for converting between speakers' voices, without relying on text.

automatic-speech-recognition Speech Recognition

Vid2Game: Controllable Characters Extracted from Real-World Videos

no code implementations ICLR 2020 Oran Gafni, Lior Wolf, Yaniv Taigman

The second network maps the current pose, the new pose, and a given background, to an output frame.

Speech Denoising by Accumulating Per-Frequency Modeling Fluctuations

1 code implementation16 Apr 2019 Michael Michelashvili, Lior Wolf

The method is completely unsupervised and only trains on the specific audio clip that is being denoised.

Audio Denoising Speech Denoising

Unsupervised Singing Voice Conversion

no code implementations13 Apr 2019 Eliya Nachmani, Lior Wolf

The proposed network is not conditioned on the text or on the notes, and it directly converts the audio of one singer to the voice of another.

Data Augmentation Voice Conversion

Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks

1 code implementation1 Apr 2019 Woo-Jeoung Nam, Shir Gur, Jaesik Choi, Lior Wolf, Seong-Whan Lee

As Deep Neural Networks (DNNs) have demonstrated superhuman performance in a variety of fields, there is an increasing interest in understanding the complex internal mechanisms of DNNs.

Unsupervised Polyglot Text To Speech

no code implementations6 Feb 2019 Eliya Nachmani, Lior Wolf

We present a TTS neural network that is able to produce speech in multiple languages.

Semi-Supervised Monaural Singing Voice Separation With a Masking Network Trained on Synthetic Mixtures

1 code implementation14 Dec 2018 Michael Michelashvili, Sagie Benaim, Lior Wolf

We study the problem of semi-supervised singing voice separation, in which the training data contains a set of samples of mixed music (singing and instrumental) and an unmatched set of instrumental music.

Music Source Separation Speech Separation

Regularizing by the Variance of the Activations' Sample-Variances

no code implementations NeurIPS 2018 Etai Littwin, Lior Wolf

Normalization techniques play an important role in supporting efficient and often more effective training of deep neural networks.

Visual Analogies between Atari Games for Studying Transfer Learning in RL

no code implementations29 Jul 2018 Doron Sobol, Lior Wolf, Yaniv Taigman

For example, given a video frame in the target game, we map it to an analogous state in the source game and then attempt to play using a trained policy learned for the source game.

Atari Games Transfer Learning

Risk Bounds for Unsupervised Cross-Domain Mapping with IPMs

no code implementations23 Jul 2018 Tomer Galanti, Sagie Benaim, Lior Wolf

The recent empirical success of unsupervised cross-domain mapping algorithms, between two domains that share common characteristics, is not well-supported by theoretical justifications.

One-Shot Unsupervised Cross Domain Translation

2 code implementations NeurIPS 2018 Sagie Benaim, Lior Wolf

Given a single image x from domain A and a set of images from domain B, our task is to generate the analogous of x in B.

One Shot Image to Image Translation Zero-Shot Learning

NAM: Non-Adversarial Unsupervised Domain Mapping

1 code implementation ECCV 2018 Yedid Hoshen, Lior Wolf

NAM relies on a pre-trained generative model of the target domain, and aligns each source image with an image synthesized from the target domain, while jointly optimizing the domain mapping function.

Confidence Prediction for Lexicon-Free OCR

no code implementations28 May 2018 Noam Mor, Lior Wolf

Having a reliable accuracy score is crucial for real world applications of OCR, since such systems are judged by the number of false readings.

General Classification Multi-class Classification +1

A Universal Music Translation Network

4 code implementations21 May 2018 Noam Mor, Lior Wolf, Adam Polyak, Yaniv Taigman

We present a method for translating music across musical instruments, genres, and styles.

Unsupervised Correlation Analysis

no code implementations CVPR 2018 Yedid Hoshen, Lior Wolf

Linking between two data sources is a basic building block in numerous computer vision problems.

Learning the Multiple Traveling Salesmen Problem with Permutation Invariant Pooling Networks

no code implementations26 Mar 2018 Yoav Kaempfer, Lior Wolf

While there are optimal TSP solvers, as well as recent learning-based approaches, the generalization of the TSP to the Multiple Traveling Salesmen Problem is much less studied.

Fitting New Speakers Based on a Short Untranscribed Sample

no code implementations ICML 2018 Eliya Nachmani, Adam Polyak, Yaniv Taigman, Lior Wolf

Learning-based Text To Speech systems have the potential to generalize from one speaker to the next and thus require a relatively short sample of any new voice.

Speech Synthesis

Non-Adversarial Unsupervised Word Translation

4 code implementations EMNLP 2018 Yedid Hoshen, Lior Wolf

We present a novel method that first aligns the second moment of the word distributions of the two languages and then iteratively refines the alignment.

Identifying Analogies Across Domains

no code implementations ICLR 2018 Yedid Hoshen, Lior Wolf

We further show that the cross-domain mapping task can be broken into two parts: domain alignment and learning the mapping function.

Estimating the Success of Unsupervised Image to Image Translation

1 code implementation ECCV 2018 Sagie Benaim, Tomer Galanti, Lior Wolf

While in supervised learning, the validation error is an unbiased estimator of the generalization (test) error and complexity-based generalization bounds are abundant, no such bounds exist for learning a mapping in an unsupervised way.

Generalization Bounds Unsupervised Image-To-Image Translation

End-to-End Supervised Product Quantization for Image Search and Retrieval

no code implementations CVPR 2019 Benjamin Klein, Lior Wolf

To our knowledge, this is the first work to introduce a dictionary-based representation that is inspired by Product Quantization and which is learned end-to-end, and thus benefits from the supervised signal.

General Classification Image Retrieval +1

A Two-Step Disentanglement Method

1 code implementation CVPR 2018 Naama Hadad, Lior Wolf, Moni Shahar

First, the part of the data that is correlated with the labels is extracted by training a classifier.

The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings

no code implementations ICLR 2018 Tomer Galanti, Lior Wolf, Sagie Benaim

We discuss the feasibility of the following learning problem: given unmatched samples from two domains and nothing else, learn a mapping between the two, which preserves semantics.

Learning to Align the Source Code to the Compiled Object Code

1 code implementation ICML 2017 Dor Levy, Lior Wolf

We propose a new neural network architecture and use it for the task of statement-by-statement alignment of source code and its compiled object code.

Traveling Salesman Problem

VoiceLoop: Voice Fitting and Synthesis via a Phonological Loop

1 code implementation ICLR 2018 Yaniv Taigman, Lior Wolf, Adam Polyak, Eliya Nachmani

We present a new neural text to speech (TTS) method that is able to transform text to speech in voices that are sampled in the wild.

Compression Fractures Detection on CT

no code implementations6 Jun 2017 Amir Bar, Lior Wolf, Orna Bergman Amitai, Eyal Toledano, Eldad Elnekave

Finally a Recurrent Neural Network (RNN) is utilized to predict whether a vertebral fracture is present in the series of patches.

Computed Tomography (CT)

Unsupervised Creation of Parameterized Avatars

no code implementations ICCV 2017 Lior Wolf, Yaniv Taigman, Adam Polyak

We study the problem of mapping an input image to a tied pair consisting of a vector of parameters and an image that is created using a graphical engine from the vector of parameters.

Unsupervised Domain Adaptation

A Theory of Output-Side Unsupervised Domain Adaptation

no code implementations5 Mar 2017 Tomer Galanti, Lior Wolf

We consider the complementary problem in which the unlabeled samples are given post mapping, i. e., we are given the outputs of the mapping of unknown samples from the shifted domain.

Generalization Bounds Unsupervised Domain Adaptation

Robust features for facial action recognition

no code implementations5 Feb 2017 Nadav Israel, Lior Wolf, Ran Barzilay, Gal Shoval

Automatic recognition of facial gestures is becoming increasingly important as real world AI agents become a reality.

Action Recognition

Improved Stereo Matching with Constant Highway Networks and Reflective Confidence Learning

1 code implementation CVPR 2017 Amit Shaked, Lior Wolf

We propose a new highway network architecture for computing the matching cost at each possible disparity, based on multilevel weighted residual shortcuts, trained with a hybrid loss that supports multilevel comparison of image patches.

Stereo Matching Stereo Matching Hand

Temporal Tessellation: A Unified Approach for Video Analysis

1 code implementation ICCV 2017 Dotan Kaufman, Gil Levi, Tal Hassner, Lior Wolf

A test video is processed by forming correspondences between its clips and the clips of reference videos with known semantics, following which, reference semantics can be transferred to the test video.

Action Detection Video Captioning +2

InterpoNet, A brain inspired neural network for optical flow dense interpolation

1 code implementation CVPR 2017 Shay Zweig, Lior Wolf

The current state-of-the-art method for interpolation, EpicFlow, is a local average method based on an edge aware geodesic distance.

Optical Flow Estimation

Optical Flow Requires Multiple Strategies (but only one network)

1 code implementation CVPR 2017 Tal Schuster, Lior Wolf, David Gadot

This type of training produces a network that displays multiple strategies depending on the input and leads to state of the art results on the KITTI 2012 and KITTI 2015 optical flow benchmarks.

Metric Learning Optical Flow Estimation

The Loss Surface of Residual Networks: Ensembles and the Role of Batch Normalization

no code implementations8 Nov 2016 Etai Littwin, Lior Wolf

Deep Residual Networks present a premium in performance in comparison to conventional networks of the same depth and are trainable at extreme depths.

A Hackathon for Classical Tibetan

no code implementations27 Sep 2016 Orna Almogi, Lena Dankin, Nachum Dershowitz, Lior Wolf

We describe the course of a hackathon dedicated to the development of linguistic tools for Tibetan Buddhist studies.

General Classification Text Classification

Linking Image and Text with 2-Way Nets

1 code implementation CVPR 2017 Aviv Eisenschtat, Lior Wolf

We show a direct link between the correlation-based loss and Euclidean loss, enabling the use of Euclidean loss for correlation maximization.

Using the Output Embedding to Improve Language Models

10 code implementations EACL 2017 Ofir Press, Lior Wolf

We study the topmost weight matrix of neural network language models.

CNN-N-Gram for Handwriting Word Recognition

no code implementations CVPR 2016 Arik Poznanski, Lior Wolf

Given an image of a handwritten word, a CNN is employed to estimate its n-gram frequency profile, which is the set of n-grams contained in the word.

Handwriting Recognition

RNN Fisher Vectors for Action Recognition and Image Annotation

no code implementations12 Dec 2015 Guy Lev, Gil Sadeh, Benjamin Klein, Lior Wolf

Recurrent Neural Networks (RNNs) have had considerable success in classifying and predicting sequences.

Action Recognition Transfer Learning

Live Repetition Counting

no code implementations ICCV 2015 Ofir Levy, Lior Wolf

The task of counting the number of repetitions of approximately the same action in an input video sequence is addressed.

The Multiverse Loss for Robust Transfer Learning

no code implementations CVPR 2016 Etai Littwin, Lior Wolf

Deep learning techniques are renowned for supporting effective transfer learning.

Transfer Learning

A Dynamic Convolutional Layer for Short Range Weather Prediction

no code implementations CVPR 2015 Benjamin Klein, Lior Wolf, Yehuda Afek

In contrast, the dynamic convolutional layer uses filters that will vary from input to input during testing.

Associating Neural Word Embeddings With Deep Image Representations Using Fisher Vectors

no code implementations CVPR 2015 Benjamin Klein, Guy Lev, Gil Sadeh, Lior Wolf

In this work, we are using the Fisher Vector as a sentence representation by pooling the word2vec embedding of each word in the sentence.

Image Retrieval Word Embeddings

Fisher Vectors Derived from Hybrid Gaussian-Laplacian Mixture Models for Image Annotation

no code implementations26 Nov 2014 Benjamin Klein, Guy Lev, Gil Sadeh, Lior Wolf

The second Mixture Model presented is a Hybrid Gaussian-Laplacian Mixture Model (HGLMM) which is based on a weighted geometric mean of the Gaussian and Laplacian distribution.

Image Retrieval Object Recognition

Web-Scale Training for Face Identification

no code implementations CVPR 2015 Yaniv Taigman, Ming Yang, Marc'Aurelio Ranzato, Lior Wolf

Scaling machine learning methods to very large datasets has attracted considerable attention in recent years, thanks to easy access to ubiquitous sensing and data from the web.

Face Identification Face Recognition +1

Congruency-Based Reranking

no code implementations CVPR 2014 Itai Ben-Shalom, Noga Levy, Lior Wolf, Nachum Dershowitz, Adiel Ben-Shalom, Roni Shweka, Yaacov Choueka, Tamir Hazan, Yaniv Bar

The utility of the tool is demonstrated within the context of visual search of documents from the Cairo Genizah and for retrieval of paintings by the same artist and in the same style.

Re-Ranking

The SVM-Minus Similarity Score for Video Face Recognition

no code implementations CVPR 2013 Lior Wolf, Noga Levy

Face recognition in unconstrained videos requires specialized tools beyond those developed for still images: the fact that the confounding factors change state during the video sequence presents a unique challenge, but also an opportunity to eliminate spurious similarities.

Face Recognition

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

no code implementations4 Aug 2011 Yaniv Taigman, Lior Wolf

We employ the face recognition technology developed in house at face. com to a well accepted benchmark and show that without any tuning we are able to considerably surpass state of the art results.

Face Recognition

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