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ORCIDLior Wolf
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- affiliation: Tel Aviv University, Blavatnik School of Computer Science, Israel
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2020 – today
- 2024
[j41]Saja Gharaba, Aviv Shalem, Omri Paz, Noam Muchtar, Lior Wolf
, Miguel Weil:
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 180: 108970 (2024)- [j40]Yoav Ger, Eliya Nachmani, Lior Wolf, Nitzan Shahar:
Harnessing the flexibility of neural networks to predict dynamic theoretical parameters underlying human choice behavior. PLoS Comput. Biol. 20(1) (2024) - [j39]Amit Rozner, Barak Battash, Lior Wolf, Ofir Lindenbaum:
Domain-Generalizable Multiple-Domain Clustering. Trans. Mach. Learn. Res. 2024 (2024) - [j38]Yoad Tewel, Omri Kaduri, Rinon Gal, Yoni Kasten, Lior Wolf, Gal Chechik, Yuval Atzmon:
Training-Free Consistent Text-to-Image Generation. ACM Trans. Graph. 43(4): 52:1-52:18 (2024) - [c248]Yoni Choukroun, Lior Wolf:
Deep Quantum Error Correction. AAAI 2024: 64-72 - [c247]Guy Yariv, Itai Gat, Sagie Benaim, Lior Wolf, Idan Schwartz, Yossi Adi:
Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation. AAAI 2024: 6639-6647 - [c246]Itamar Zimerman, Lior Wolf:
Multi-Dimensional Hyena for Spatial Inductive Bias. AISTATS 2024: 973-981 - [c245]Barak Battash, Lior Wolf, Ofir Lindenbaum:
Revisiting the Noise Model of Stochastic Gradient Descent. AISTATS 2024: 4780-4788 - [c244]Nadav Benedek, Lior Wolf:
PRILoRA: Pruned and Rank-Increasing Low-Rank Adaptation. EACL (Findings) 2024: 252-263 - [c243]Yoav Shalev, Lior Wolf:
Fine-Tuning CLIP via Explainability Map Propagation for Boosting Image and Video Retrieval. ECIR (1) 2024: 356-370 - [c242]Amit Rozner, Barak Battash, Ofir Lindenbaum, Lior Wolf:
Efficient Verification-Based Face Identification. FG 2024: 1-10 - [c241]Ethan Baron, Itamar Zimerman, Lior Wolf:
A 2-Dimensional State Space Layer for Spatial Inductive Bias. ICLR 2024 - [c240]Hila Chefer, Oran Lang, Mor Geva, Volodymyr Polosukhin, Assaf Shocher, Michal Irani, Inbar Mosseri, Lior Wolf:
The Hidden Language of Diffusion Models. ICLR 2024 - [c239]Yoni Choukroun, Lior Wolf:
A Foundation Model for Error Correction Codes. ICLR 2024 - [c238]Tamir David Hay, Lior Wolf:
Dynamic Layer Tying for Parameter-Efficient Transformers. ICLR 2024 - [c237]Shahar Lutati, Eliya Nachmani, Lior Wolf:
Separate and Diffuse: Using a Pretrained Diffusion Model for Better Source Separation. ICLR 2024 - [c236]Yoni Choukroun, Lior Wolf:
Learning Linear Block Error Correction Codes. ICML 2024 - [c235]Itamar Zimerman, Moran Baruch, Nir Drucker, Gilad Ezov, Omri Soceanu, Lior Wolf:
Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption. ICML 2024 - [c234]Itamar Zimerman, Lior Wolf:
Viewing Transformers Through the Lens of Long Convolutions Layers. ICML 2024 - [i197]Nadav Benedek, Lior Wolf:
PRILoRA: Pruned and Rank-Increasing Low-Rank Adaptation. CoRR abs/2401.11316 (2024) - [i196]Noy Uzrad, Oren Barkan, Almog Elharar, Shlomi Shvartzman, Moshe Laufer, Lior Wolf, Noam Koenigstein:
DiffMoog: a Differentiable Modular Synthesizer for Sound Matching. CoRR abs/2401.12570 (2024) - [i195]Tamir David Hay, Lior Wolf:
Dynamic Layer Tying for Parameter-Efficient Transformers. CoRR abs/2401.12819 (2024) - [i194]Yoad Tewel, Omri Kaduri, Rinon Gal, Yoni Kasten, Lior Wolf, Gal Chechik, Yuval Atzmon:
Training-Free Consistent Text-to-Image Generation. CoRR abs/2402.03286 (2024) - [i193]Shahar Katz, Yonatan Belinkov, Mor Geva, Lior Wolf:
Backward Lens: Projecting Language Model Gradients into the Vocabulary Space. CoRR abs/2402.12865 (2024) - [i192]Ameen Ali, Itamar Zimerman, Lior Wolf:
The Hidden Attention of Mamba Models. CoRR abs/2403.01590 (2024) - [i191]Barak Battash, Amit Rozner, Lior Wolf, Ofir Lindenbaum:
Obtaining Favorable Layouts for Multiple Object Generation. CoRR abs/2405.00791 (2024) - [i190]Yoni Choukroun, Lior Wolf:
Learning Linear Block Error Correction Codes. CoRR abs/2405.04050 (2024) - [i189]Itamar Zimerman, Ameen Ali, Lior Wolf:
A Unified Implicit Attention Formulation for Gated-Linear Recurrent Sequence Models. CoRR abs/2405.16504 (2024) - [i188]Gony Rosenman, Lior Wolf, Talma Hendler:
LLM Questionnaire Completion for Automatic Psychiatric Assessment. CoRR abs/2406.06636 (2024) - [i187]Amit Rozner, Barak Battash, Lior Wolf, Ofir Lindenbaum:
Knowledge Editing in Language Models via Adapted Direct Preference Optimization. CoRR abs/2406.09920 (2024) - [i186]Yoni Choukroun, Lior Wolf:
Factor Graph Optimization of Error-Correcting Codes for Belief Propagation Decoding. CoRR abs/2406.12900 (2024) - [i185]Assaf Ben-Kish, Itamar Zimerman, Shady Abu-Hussein, Nadav Cohen, Amir Globerson, Lior Wolf, Raja Giryes:
DeciMamba: Exploring the Length Extrapolation Potential of Mamba. CoRR abs/2406.14528 (2024) - [i184]Hila Chefer, Shiran Zada, Roni Paiss, Ariel Ephrat, Omer Tov, Michael Rubinstein, Lior Wolf, Tali Dekel, Tomer Michaeli, Inbar Mosseri:
Still-Moving: Customized Video Generation without Customized Video Data. CoRR abs/2407.08674 (2024) - [i183]Oz Zafar, Lior Wolf, Idan Schwartz:
Iterative Object Count Optimization for Text-to-image Diffusion Models. CoRR abs/2408.11721 (2024) - [i182]Ameen Ali, Lior Wolf, Ivan Titov:
Mitigating Copy Bias in In-Context Learning through Neuron Pruning. CoRR abs/2410.01288 (2024) - 2023
- [j37]Tomer Friedlander, Ron Shmelkin, Lior Wolf:
Generating 2-D and 3-D Master Faces for Dictionary Attacks With a Network-Assisted Latent Space Evolution. IEEE Trans. Biom. Behav. Identity Sci. 5(3): 385-399 (2023) - [j36]Hila Chefer, Yuval Alaluf, Yael Vinker, Lior Wolf, Daniel Cohen-Or:
Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models. ACM Trans. Graph. 42(4): 148:1-148:10 (2023) - [c233]Ameen Ali, Lior Wolf, Hakan Cevikalp:
Degree-based stratification of nodes in Graph Neural Networks. ACML 2023: 15-27 - [c232]Ido Kessler, Omri Lifshitz, Sagie Benaim, Lior Wolf:
Cross-Domain Relation Adaptation. ACML 2023: 630-645 - [c231]Yoad Tewel, Yoav Shalev, Roy Nadler, Idan Schwartz, Lior Wolf:
Zero-Shot Video Captioning by Evolving Pseudo-tokens. BMVC 2023: 429-432 - [c230]Tal Shaharabany, Aviad Dahan, Raja Giryes, Lior Wolf:
AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder. BMVC 2023: 530-533 - [c229]Ortal Dayan, Lior Wolf, Fang Wang, Yaniv Harel:
Optimizing AI for Mobile Malware Detection by Self-Built-Dataset GAN Oversampling and LGBM. CSR 2023: 60-65 - [c228]Tal Shaharabany, Lior Wolf:
Similarity Maps for Self-Training Weakly-Supervised Phrase Grounding. CVPR 2023: 6925-6934 - [c227]Shahar Lutati, Itamar Zimerman, Lior Wolf:
Focus Your Attention (with Adaptive IIR Filters). EMNLP 2023: 12538-12549 - [c226]Michael Rotman, Lior Wolf:
Energy Regularized RNNS for solving non-stationary Bandit problems. ICASSP 2023: 1-5 - [c225]Tal Shaharabany, Lior Wolf:
Learning a Weight Map for Weakly-Supervised Localization. ICASSP 2023: 1-5 - [c224]Eyal Gomel, Tal Shaharabany, Lior Wolf:
Box-based Refinement for Weakly Supervised and Unsupervised Localization Tasks. ICCV 2023: 15998-16008 - [c223]Idan Schwartz, Vésteinn Snæbjarnarson, Hila Chefer, Serge J. Belongie, Lior Wolf, Sagie Benaim:
Discriminative Class Tokens for Text-to-Image Diffusion Models. ICCV 2023: 22668-22678 - [c222]Shmuel Bar-David, Itamar Zimerman, Eliya Nachmani, Lior Wolf:
Decision S4: Efficient Sequence-Based RL via State Spaces Layers. ICLR 2023 - [c221]Yoni Choukroun, Lior Wolf:
Denoising Diffusion Error Correction Codes. ICLR 2023 - [c220]Shahar Lutati, Lior Wolf:
OCD: Learning to Overfit with Conditional Diffusion Models. ICML 2023: 23157-23169 - [c219]Noy Lalzary, Lior Wolf:
Dual Contrastive Learning for Self-Supervised ECG Mapping to Emotions and Glucose Levels. SENSORS 2023: 1-4 - [c218]Guy Yariv, Itai Gat, Lior Wolf, Yossi Adi, Idan Schwartz:
Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image Generation. INTERSPEECH 2023: 5446-5450 - [c217]Yoni Choukroun, Lior Golgher, Pablo Blinder, Lior Wolf:
Reconstructing the Hemodynamic Response Function via a Bimodal Transformer. MICCAI (2) 2023: 371-381 - [c216]Tomer Amit, Shmuel Shichrur, Tal Shaharabany, Lior Wolf:
Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models. MICCAI (4) 2023: 544-554 - [c215]Gony Rosenman, Itzik Malkiel, Ayam Greental, Talma Hendler, Lior Wolf:
Pre-Training Transformers for Fingerprinting to Improve Stress Prediction in fMRI. MIDL 2023: 212-234 - [c214]Tomer Friedlander, Lior Wolf:
Dynamically-Scaled Deep Canonical Correlation Analysis. PAKDD (3) 2023: 232-244 - [c213]Erez Sheffi, Michael Rotman, Lior Wolf:
Gradient Adjusting Networks for Domain Inversion. SCIA (2) 2023: 118-137 - [c212]Michael Rotman, Amit Dekel, Ran Ilan Ber, Lior Wolf, Yaron Oz:
Semi-supervised learning of partial differential operators and dynamical flows. UAI 2023: 1785-1794 - [i181]Shahar Lutati, Eliya Nachmani, Lior Wolf:
Separate And Diffuse: Using a Pretrained Diffusion Model for Improving Source Separation. CoRR abs/2301.10752 (2023) - [i180]Yoni Choukroun, Lior Wolf:
Deep Quantum Error Correction. CoRR abs/2301.11930 (2023) - [i179]Amit Rozner, Barak Battash, Lior Wolf, Ofir Lindenbaum:
Domain-Generalizable Multiple-Domain Clustering. CoRR abs/2301.13530 (2023) - [i178]Hila Chefer, Yuval Alaluf, Yael Vinker, Lior Wolf, Daniel Cohen-Or:
Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models. CoRR abs/2301.13826 (2023) - [i177]Erez Sheffi, Michael Rotman, Lior Wolf:
Gradient Adjusting Networks for Domain Inversion. CoRR abs/2302.11413 (2023) - [i176]Michael Rotman, Lior Wolf:
Energy Regularized RNNs for Solving Non-Stationary Bandit Problems. CoRR abs/2303.06552 (2023) - [i175]Aran Carmon, Lior Wolf:
Improved Tree Search for Automatic Program Synthesis. CoRR abs/2303.07166 (2023) - [i174]Idan Schwartz, Vésteinn Snæbjarnarson, Sagie Benaim, Hila Chefer, Ryan Cotterell, Lior Wolf, Serge J. Belongie:
Discriminative Class Tokens for Text-to-Image Diffusion Models. CoRR abs/2303.17155 (2023) - [i173]Guy Yariv, Itai Gat, Lior Wolf, Yossi Adi, Idan Schwartz:
AudioToken: Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image Generation. CoRR abs/2305.13050 (2023) - [i172]Shahar Lutati, Itamar Zimerman, Lior Wolf:
Focus Your Attention (with Adaptive IIR Filters). CoRR abs/2305.14952 (2023) - [i171]Amit Rozner, Barak Battash, Henry Li, Lior Wolf, Ofir Lindenbaum:
Anomaly Detection with Variance Stabilized Density Estimation. CoRR abs/2306.00582 (2023) - [i170]Hila Chefer, Oran Lang, Mor Geva, Volodymyr Polosukhin, Assaf Shocher, Michal Irani, Inbar Mosseri, Lior Wolf:
The Hidden Language of Diffusion Models. CoRR abs/2306.00966 (2023) - [i169]Ameen Ali, Tomer Galanti, Lior Wolf:
Centered Self-Attention Layers. CoRR abs/2306.01610 (2023) - [i168]Shmuel Bar-David, Itamar Zimerman, Eliya Nachmani, Lior Wolf:
Decision S4: Efficient Sequence-Based RL via State Spaces Layers. CoRR abs/2306.05167 (2023) - [i167]Tal Shaharabany, Aviad Dahan, Raja Giryes, Lior Wolf:
AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder. CoRR abs/2306.06370 (2023) - [i166]Ethan Baron, Itamar Zimerman, Lior Wolf:
2-D SSM: A General Spatial Layer for Visual Transformers. CoRR abs/2306.06635 (2023) - [i165]Tomer Amit, Shmuel Shichrur, Tal Shaharabany, Lior Wolf:
Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models. CoRR abs/2306.09004 (2023) - [i164]Yoni Choukroun, Lior Golgher, Pablo Blinder, Lior Wolf:
Reconstructing the Hemodynamic Response Function via a Bimodal Transformer. CoRR abs/2306.15971 (2023) - [i163]Eyal Gomel, Tal Shaharabany, Lior Wolf:
Box-based Refinement for Weakly Supervised and Unsupervised Localization Tasks. CoRR abs/2309.03874 (2023) - [i162]Tal Shaharabany, Ariel Shaulov, Lior Wolf:
Zero-Shot Audio Captioning via Audibility Guidance. CoRR abs/2309.03884 (2023) - [i161]Itamar Zimerman, Lior Wolf:
Multi-Dimensional Hyena for Spatial Inductive Bias. CoRR abs/2309.13600 (2023) - [i160]Guy Yariv, Itai Gat, Sagie Benaim, Lior Wolf, Idan Schwartz, Yossi Adi:
Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation. CoRR abs/2309.16429 (2023) - [i159]Itamar Zimerman, Moran Baruch, Nir Drucker, Gilad Ezov, Omri Soceanu, Lior Wolf:
Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption. CoRR abs/2311.08610 (2023) - [i158]Itamar Zimerman, Lior Wolf:
On the Long Range Abilities of Transformers. CoRR abs/2311.16620 (2023) - [i157]Ameen Ali, Hakan Cevikalp, Lior Wolf:
Degree-based stratification of nodes in Graph Neural Networks. CoRR abs/2312.10458 (2023) - [i156]Amit Rozner, Barak Battash, Ofir Lindenbaum, Lior Wolf:
Efficient Verification-Based Face Identification. CoRR abs/2312.13240 (2023) - 2022
- [j35]Yuval Nirkin, Lior Wolf, Yosi Keller, Tal Hassner:
DeepFake Detection Based on Discrepancies Between Faces and Their Context. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6111-6121 (2022) - [c211]Ameen Ali, Tomer Galanti, Evgenii Zheltonozhskii, Chaim Baskin, Lior Wolf:
Weakly Supervised Discovery of Semantic Attributes. CLeaR 2022: 44-69 - [c210]Yoav Shalev, Lior Wolf:
Image Animation with Perturbed Masks. CVPR 2022: 3637-3646 - [c209]Yaniv Benny, Lior Wolf:
Dynamic Dual-Output Diffusion Models. CVPR 2022: 11472-11481 - [c208]Yoad Tewel, Yoav Shalev, Idan Schwartz, Lior Wolf:
ZeroCap: Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic. CVPR 2022: 17897-17907 - [c207]Roni Paiss, Hila Chefer, Lior Wolf:
No Token Left Behind: Explainability-Aided Image Classification and Generation. ECCV (12) 2022: 334-350 - [c206]Hila Chefer, Sagie Benaim, Roni Paiss, Lior Wolf:
Image-Based CLIP-Guided Essence Transfer. ECCV (13) 2022: 695-711 - [c205]Oded Hupert, Idan Schwartz, Lior Wolf:
Describing Sets of Images with Textual-PCA. EMNLP (Findings) 2022: 3811-3821 - [c204]Lior Ben-Moshe, Sagie Benaim, Lior Wolf:
FewGAN: Generating from the Joint Distribution of a Few Images. ICIP 2022: 751-755 - [c203]Michael Rotman, Amit Dekel, Shir Gur, Yaron Oz, Lior Wolf:
Unsupervised Disentanglement with Tensor Product Representations on the Torus. ICLR 2022 - [c202]Tom Shenkar, Lior Wolf:
Anomaly Detection for Tabular Data with Internal Contrastive Learning. ICLR 2022 - [c201]Ameen Ali, Thomas Schnake, Oliver Eberle, Grégoire Montavon, Klaus-Robert Müller, Lior Wolf:
XAI for Transformers: Better Explanations through Conservative Propagation. ICML 2022: 435-451 - [c200]Raphael Bensadoun, Shir Gur, Nitsan Blau, Lior Wolf:
Neural Inverse Kinematic. ICML 2022: 1787-1797 - [c199]Yoni Choukroun, Lior Wolf:
Geometric Transformer for End-to-End Molecule Properties Prediction. IJCAI 2022: 2895-2901 - [c198]Alon Levkovitch, Eliya Nachmani, Lior Wolf:
Zero-Shot Voice Conditioning for Denoising Diffusion TTS Models. INTERSPEECH 2022: 2983-2987 - [c197]Shahar Lutati, Eliya Nachmani, Lior Wolf:
SepIt: Approaching a Single Channel Speech Separation Bound. INTERSPEECH 2022: 5323-5327 - [c196]Rotem Leibovitz, Jhonathan Osin, Lior Wolf, Guy Gurevitch, Talma Hendler:
fMRI Neurofeedback Learning Patterns are Predictive of Personal and Clinical Traits. MICCAI (1) 2022: 282-294 - [c195]Tal Shaharabany, Lior Wolf:
End-to-End Segmentation of Medical Images via Patch-Wise Polygons Prediction. MICCAI (5) 2022: 308-318 - [c194]Ameen Ali, Tal Shaharabany, Lior Wolf:
Explainability Guided COVID-19 Detection in CT Scans. MIDL 2022: 5-21 - [c193]Itzik Malkiel, Gony Rosenman, Lior Wolf, Talma Hendler:
Self-Supervised Transformers for fMRI representation. MIDL 2022: 895-913 - [c192]Or Goren, Eliya Nachmani, Lior Wolf:
A-Muze-Net: Music Generation by Composing the Harmony Based on the Generated Melody. MMM (1) 2022: 557-568 - [c191]Hila Chefer, Idan Schwartz, Lior Wolf:
Optimizing Relevance Maps of Vision Transformers Improves Robustness. NeurIPS 2022 - [c190]Yoni Choukroun, Lior Wolf:
Error Correction Code Transformer. NeurIPS 2022 - [c189]Tal Shaharabany, Yoad Tewel, Lior Wolf:
What is Where by Looking: Weakly-Supervised Open-World Phrase-Grounding without Text Inputs. NeurIPS 2022 - [c188]Ameen Ali, Idan Schwartz, Tamir Hazan, Lior Wolf:
Video and Text Matching with Conditioned Embeddings. WACV 2022: 478-487 - [i155]Michael Rotman, Amit Dekel, Shir Gur, Yaron Oz, Lior Wolf:
Unsupervised Disentanglement with Tensor Product Representations on the Torus. CoRR abs/2202.06201 (2022) - [i154]Ameen Ali, Thomas Schnake, Oliver Eberle, Grégoire Montavon, Klaus-Robert Müller, Lior Wolf:
XAI for Transformers: Better Explanations through Conservative Propagation. CoRR abs/2202.07304 (2022) - [i153]Yaniv Benny, Lior Wolf:
Dynamic Dual-Output Diffusion Models. CoRR abs/2203.04304 (2022) - [i152]Tomer Friedlander, Lior Wolf:
Dynamically-Scaled Deep Canonical Correlation Analysis. CoRR abs/2203.12377 (2022) - [i151]Yoni Choukroun, Lior Wolf:
Error Correction Code Transformer. CoRR abs/2203.14966 (2022) - [i150]Yoav Shalev, Lior Wolf:
End to End Lip Synchronization with a Temporal AutoEncoder. CoRR abs/2203.16224 (2022) - [i149]Roni Paiss, Hila Chefer, Lior Wolf:
No Token Left Behind: Explainability-Aided Image Classification and Generation. CoRR abs/2204.04908 (2022) - [i148]Yaron Gurovich, Sagie Benaim, Lior Wolf:
On Disentangled and Locally Fair Representations. CoRR abs/2205.02673 (2022) - [i147]Raphael Bensadoun, Shir Gur, Nitsan Blau, Tom Shenkar, Lior Wolf:
Neural Inverse Kinematics. CoRR abs/2205.10837 (2022) - [i146]Shahar Lutati, Eliya Nachmani, Lior Wolf:
SepIt: Approaching a Single Channel Speech Separation Bound. CoRR abs/2205.11801 (2022) - [i145]Hila Chefer, Idan Schwartz, Lior Wolf:
Optimizing Relevance Maps of Vision Transformers Improves Robustness. CoRR abs/2206.01161 (2022) - [i144]Alon Levkovitch, Eliya Nachmani, Lior Wolf:
Zero-Shot Voice Conditioning for Denoising Diffusion TTS Models. CoRR abs/2206.02246 (2022) - [i143]Tal Shaharabany, Yoad Tewel, Lior Wolf:
What is Where by Looking: Weakly-Supervised Open-World Phrase-Grounding without Text Inputs. CoRR abs/2206.09358 (2022) - [i142]Yoad Tewel, Yoav Shalev, Roy Nadler, Idan Schwartz, Lior Wolf:
Zero-Shot Video Captioning with Evolving Pseudo-Tokens. CoRR abs/2207.11100 (2022) - [i141]Lior Ben-Moshe, Sagie Benaim, Lior Wolf:
FewGAN: Generating from the Joint Distribution of a Few Images. CoRR abs/2207.11226 (2022) - [i140]Michael Rotman, Amit Dekel, Ran Ilan Ber, Lior Wolf, Yaron Oz:
Semi-supervised Learning of Partial Differential Operators and Dynamical Flows. CoRR abs/2207.14366 (2022) - [i139]Yoni Choukroun, Lior Wolf:
Denoising Diffusion Error Correction Codes. CoRR abs/2209.13533 (2022) - [i138]Shahar Lutati, Lior Wolf:
OCD: Learning to Overfit with Conditional Diffusion Models. CoRR abs/2210.00471 (2022) - [i137]Oded Hupert, Idan Schwartz, Lior Wolf:
Describing Sets of Images with Textual-PCA. CoRR abs/2210.12112 (2022) - [i136]Tomer Friedlander, Ron Shmelkin, Lior Wolf:
Generating 2D and 3D Master Faces for Dictionary Attacks with a Network-Assisted Latent Space Evolution. CoRR abs/2211.13964 (2022) - 2021
- [j34]Itamar Reis, Michael Rotman, Dovi Poznanski, J. Xavier Prochaska, Lior Wolf:
Effectively using unsupervised machine learning in next generation astronomical surveys. Astron. Comput. 34: 100437 (2021) - [j33]Saguy Benaim, Ron Mokady, Amit Bermano, Lior Wolf:
Structural Analogy from a Single Image Pair. Comput. Graph. Forum 40(1): 249-265 (2021) - [j32]Yaniv Benny, Tomer Galanti, Sagie Benaim, Lior Wolf:
Evaluation Metrics for Conditional Image Generation. Int. J. Comput. Vis. 129(5): 1712-1731 (2021) - [j31]Tomer Galanti, Sagie Benaim, Lior Wolf:
Risk Bounds for Unsupervised Cross-Domain Mapping with IPMs. J. Mach. Learn. Res. 22: 90:1-90:42 (2021) - [j30]Shelly Sheynin, Lior Wolf, Ziv Ben-Zion, Jony Sheynin, Shira Reznik, Jackob Nimrod Keynan, Roee Admon, Arieh Shalev, Talma Hendler, Israel Liberzon:
Deep learning model of fMRI connectivity predicts PTSD symptom trajectories in recent trauma survivors. NeuroImage 238: 118242 (2021) - [c187]Omri Lifshitz, Lior Wolf:
Sample Selection for Universal Domain Adaptation. AAAI 2021: 8592-8600 - [c186]Michael Rotman, Lior Wolf:
Shuffling Recurrent Neural Networks. AAAI 2021: 9428-9435 - [c185]Shir Gur, Ameen Ali, Lior Wolf:
Visualization of Supervised and Self-Supervised Neural Networks via Attribution Guided Factorization. AAAI 2021: 11545-11554 - [c184]Barak Itkin, Lior Wolf, Nachum Dershowitz:
Computational Visual Ceramicology: Matching Image Outlines to Catalog Sketches. AAAI 2021: 14822-14830 - [c183]Benjamin Eliot Klein, Lior Wolf:
Learning Query Expansion over the Nearest Neighbor Graph. BMVC 2021: 403 - [c182]Hila Chefer, Shir Gur, Lior Wolf:
Transformer Interpretability Beyond Attention Visualization. CVPR 2021: 782-791 - [c181]Oran Gafni, Oron Ashual, Lior Wolf:
Single-Shot Freestyle Dance Reenactment. CVPR 2021: 882-891 - [c180]Yuval Nirkin, Lior Wolf, Tal Hassner:
HyperSeg: Patch-Wise Hypernetwork for Real-Time Semantic Segmentation. CVPR 2021: 4061-4070 - [c179]Oren Nuriel, Sagie Benaim, Lior Wolf:
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification. CVPR 2021: 9482-9491 - [c178]Yaniv Benny, Niv Pekar, Lior Wolf:
Scale-Localized Abstract Reasoning. CVPR 2021: 12557-12565 - [c177]Itzik Malkiel, Lior Wolf:
Maximal Multiverse Learning for Promoting Cross-Task Generalization of Fine-Tuned Language Models. EACL 2021: 187-199 - [c176]Efrat Blaier, Itzik Malkiel, Lior Wolf:
Caption Enriched Samples for Improving Hateful Memes Detection. EMNLP (1) 2021: 9350-9358 - [c175]Itzik Malkiel, Lior Wolf:
MTAdam: Automatic Balancing of Multiple Training Loss Terms. EMNLP (1) 2021: 10713-10729 - [c174]Ron Shmelkin, Tomer Friedlander, Lior Wolf:
Generating Master Faces for Dictionary Attacks with a Network-Assisted Latent Space Evolution. FG 2021: 1-8 - [c173]Shlomo E. Chazan, Lior Wolf, Eliya Nachmani, Yossi Adi:
Single Channel Voice Separation for Unknown Number of Speakers Under Reverberant and Noisy Settings. ICASSP 2021: 3730-3734 - [c172]Adam Polyak, Lior Wolf, Yossi Adi, Ori Kabeli, Yaniv Taigman:
High Fidelity Speech Regeneration with Application to Speech Enhancement. ICASSP 2021: 7143-7147 - [c171]Itzik Malkiel, Sangtae Ahn, Valentina Taviani, Anne Menini, Lior Wolf, Christopher J. Hardy:
Adaptive Gradient Balancing for Undersampled MRI Reconstruction and Image-to-Image Translation. ICCP 2021: 1-12 - [c170]Hila Chefer, Shir Gur, Lior Wolf:
Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers. ICCV 2021: 387-396 - [c169]Shelly Sheynin, Sagie Benaim, Lior Wolf:
A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection. ICCV 2021: 8475-8484 - [c168]Guy Oren, Lior Wolf:
In Defense of the Learning Without Forgetting for Task Incremental Learning. ICCVW 2021: 2209-2218 - [c167]Michael Rotman, Lior Wolf:
Natural Statistics Of Network Activations And Implications For Knowledge Distillation. ICIP 2021: 399-403 - [c166]Maor Ivgi, Yaniv Benny, Avichai Ben-David, Jonathan Berant, Lior Wolf:
Scene Graph tO Image Generation with Contextualized Object Layout Refinement. ICIP 2021: 2428-2432 - [c165]Noam Gat, Sagie Benaim, Lior Wolf:
Identity and Attribute Preserving Thumbnail Upscaling. ICIP 2021: 2708-2712 - [c164]Eli Ovits, Lior Wolf:
Fidelity-based Deep Adiabatic Scheduling. ICLR 2021 - [c163]Shahar Lutati, Lior Wolf:
HyperHyperNetwork for the Design of Antenna Arrays. ICML 2021: 7214-7223 - [c162]Itamar Zimerman, Eliya Nachmani, Lior Wolf:
Recovering AES Keys with a Deep Cold Boot Attack. ICML 2021: 12955-12966 - [c161]Shaked Dovrat, Eliya Nachmani, Lior Wolf:
Many-Speakers Single Channel Speech Separation with Optimal Permutation Training. Interspeech 2021: 3890-3894 - [c160]Raphael Bensadoun, Shir Gur, Tomer Galanti, Lior Wolf:
Meta Internal Learning. NeurIPS 2021: 20645-20656 - [c159]Eugene Kharitonov, Morgane Rivière, Gabriel Synnaeve, Lior Wolf, Pierre-Emmanuel Mazaré, Matthijs Douze, Emmanuel Dupoux:
Data Augmenting Contrastive Learning of Speech Representations in the Time Domain. SLT 2021: 215-222 - [c158]Etai Littwin, Tomer Galanti, Lior Wolf:
On random kernels of residual architectures. UAI 2021: 897-907 - [i135]Adam Polyak, Lior Wolf, Yossi Adi, Ori Kabeli, Yaniv Taigman:
High Fidelity Speech Regeneration with Application to Speech Enhancement. CoRR abs/2102.00429 (2021) - [i134]Eliya Nachmani, Lior Wolf:
Autoregressive Belief Propagation for Decoding Block Codes. CoRR abs/2103.11780 (2021) - [i133]Ameen Ali, Tomer Galanti, Evgeniy Zheltonozhskiy, Chaim Baskin, Lior Wolf:
Intersection Regularization for Extracting Semantic Attributes. CoRR abs/2103.11888 (2021) - [i132]Ameen Ali, Tal Shaharabany, Lior Wolf:
Explainability Guided Multi-Site COVID-19 CT Classification. CoRR abs/2103.13677 (2021) - [i131]Hila Chefer, Shir Gur, Lior Wolf:
Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers. CoRR abs/2103.15679 (2021) - [i130]Itzik Malkiel, Sangtae Ahn, Valentina Taviani, Anne Menini, Lior Wolf, Christopher J. Hardy:
Adaptive Gradient Balancing for Undersampled MRI Reconstruction and Image-to-Image Translation. CoRR abs/2104.01889 (2021) - [i129]Robin San-Roman, Eliya Nachmani, Lior Wolf:
Noise Estimation for Generative Diffusion Models. CoRR abs/2104.02600 (2021) - [i128]Shaked Dovrat, Eliya Nachmani, Lior Wolf:
Many-Speakers Single Channel Speech Separation with Optimal Permutation Training. CoRR abs/2104.08955 (2021) - [i127]Shelly Sheynin, Sagie Benaim, Lior Wolf:
A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection. CoRR abs/2104.14535 (2021) - [i126]Shahar Lutati, Lior Wolf:
HyperHyperNetworks for the Design of Antenna Arrays. CoRR abs/2105.03838 (2021) - [i125]Noam Gat, Sagie Benaim, Lior Wolf:
Identity and Attribute Preserving Thumbnail Upscaling. CoRR abs/2105.14609 (2021) - [i124]Michael Rotman, Lior Wolf:
Natural Statistics of Network Activations and Implications for Knowledge Distillation. CoRR abs/2106.00368 (2021) - [i123]Itamar Zimerman, Eliya Nachmani, Lior Wolf:
Recovering AES Keys with a Deep Cold Boot Attack. CoRR abs/2106.04876 (2021) - [i122]Eliya Nachmani, Robin San-Roman, Lior Wolf:
Non Gaussian Denoising Diffusion Models. CoRR abs/2106.07582 (2021) - [i121]Guy Oren, Lior Wolf:
In Defense of the Learning Without Forgetting for Task Incremental Learning. CoRR abs/2107.12304 (2021) - [i120]Ron Shmelkin, Tomer Friedlander, Lior Wolf:
Generating Master Faces for Dictionary Attacks with a Network-Assisted Latent Space Evolution. CoRR abs/2108.01077 (2021) - [i119]Barak Battash, Lior Wolf, Tamir Hazan:
Mixing between the Cross Entropy and the Expectation Loss Terms. CoRR abs/2109.05635 (2021) - [i118]Efrat Blaier, Itzik Malkiel, Lior Wolf:
Caption Enriched Samples for Improving Hateful Memes Detection. CoRR abs/2109.10649 (2021) - [i117]Raphael Bensadoun, Shir Gur, Tomer Galanti, Lior Wolf:
Meta Internal Learning. CoRR abs/2110.02900 (2021) - [i116]Eliya Nachmani, Robin San-Roman, Lior Wolf:
Denoising Diffusion Gamma Models. CoRR abs/2110.05948 (2021) - [i115]Ameen Ali, Idan Schwartz, Tamir Hazan, Lior Wolf:
Video and Text Matching with Conditioned Embeddings. CoRR abs/2110.11298 (2021) - [i114]Hila Chefer, Sagie Benaim, Roni Paiss, Lior Wolf:
Image-Based CLIP-Guided Essence Transfer. CoRR abs/2110.12427 (2021) - [i113]Yoni Choukroun, Lior Wolf:
Geometric Transformer for End-to-End Molecule Properties Prediction. CoRR abs/2110.13721 (2021) - [i112]Or Goren, Eliya Nachmani, Lior Wolf:
A-Muze-Net: Music Generation by Composing the Harmony based on the Generated Melody. CoRR abs/2111.12986 (2021) - [i111]Tal Shaharabany, Lior Wolf:
Learning a Weight Map for Weakly-Supervised Localization. CoRR abs/2111.14131 (2021) - [i110]Yoad Tewel, Yoav Shalev, Idan Schwartz, Lior Wolf:
Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic. CoRR abs/2111.14447 (2021) - [i109]Tomer Amit, Eliya Nachmani, Tal Shaharabany, Lior Wolf:
SegDiff: Image Segmentation with Diffusion Probabilistic Models. CoRR abs/2112.00390 (2021) - [i108]Tal Shaharabany, Lior Wolf:
End-to-End Segmentation via Patch-wise Polygons Prediction. CoRR abs/2112.02535 (2021) - [i107]Benjamin Eliot Klein, Lior Wolf:
Learning Query Expansion over the Nearest Neighbor Graph. CoRR abs/2112.02666 (2021) - [i106]Jhonathan Osin, Lior Wolf, Guy Gurevitch, Jackob Nimrod Keynan, Tom Fruchtman-Steinbok, Ayelet Or-Borichev, Shira Reznik Balter, Talma Hendler:
Learning Personal Representations from fMRIby Predicting Neurofeedback Performance. CoRR abs/2112.04902 (2021) - [i105]Shelly Sheynin, Sagie Benaim, Adam Polyak, Lior Wolf:
Locally Shifted Attention With Early Global Integration. CoRR abs/2112.05080 (2021) - [i104]Itzik Malkiel, Gony Rosenman, Lior Wolf, Talma Hendler:
Pre-training and Fine-tuning Transformers for fMRI Prediction Tasks. CoRR abs/2112.05761 (2021) - [i103]Rotem Leibovitz, Jhonathan Osin, Lior Wolf, Guy Gurevitch, Talma Hendler:
fMRI Neurofeedback Learning Patterns are Predictive of Personal and Clinical Traits. CoRR abs/2112.11014 (2021) - 2020
- [j29]Adam Polyak, Yaniv Taigman, Lior Wolf:
Unsupervised Generation of Free-Form and Parameterized Avatars. IEEE Trans. Pattern Anal. Mach. Intell. 42(2): 444-459 (2020) - [c157]Woo-Jeoung Nam, Shir Gur, Jaesik Choi, Lior Wolf, Seong-Whan Lee:
Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks. AAAI 2020: 2501-2508 - [c156]Oron Ashual, Lior Wolf:
Interactive Scene Generation via Scene Graphs with Attributes. AAAI 2020: 13651-13654 - [c155]Eyal Shulman, Lior Wolf:
Meta Decision Trees for Explainable Recommendation Systems. AIES 2020: 365-371 - [c154]Oran Gafni, Lior Wolf:
Wish You Were Here: Context-Aware Human Generation. CVPR 2020: 7837-7846 - [c153]Aviram Bar-Haim, Lior Wolf:
ScopeFlow: Dynamic Scene Scoping for Optical Flow. CVPR 2020: 7995-8004 - [c152]Taivanbat Badamdorj, Adiel Ben-Shalom, Nachum Dershowitz, Lior Wolf:
Fast Search with Poor OCR. DH 2020 - [c151]Yaniv Benny, Lior Wolf:
OneGAN: Simultaneous Unsupervised Learning of Conditional Image Generation, Foreground Segmentation, and Fine-Grained Clustering. ECCV (26) 2020: 514-530 - [c150]Michael Rotman, Lior Wolf:
Electric Analog Circuit Design with Hypernetworks And A Differential Simulator. ICASSP 2020: 4157-4161 - [c149]Eliya Nachmani, Lior Wolf:
A Gated Hypernet Decoder for Polar Codes. ICASSP 2020: 5210-5214 - [c148]Netanel Frank, Lior Wolf, Danny Olshansky, Arjan Boonman, Yossi Yovel:
Comparing Vision-based to Sonar-based 3D Reconstruction. ICCP 2020: 1-12 - [c147]Oran Gafni, Lior Wolf, Yaniv Taigman:
Vid2Game: Controllable Characters Extracted from Real-World Videos. ICLR 2020 - [c146]Shir Gur, Tal Shaharabany, Lior Wolf:
End to End Trainable Active Contours via Differentiable Rendering. ICLR 2020 - [c145]Ron Mokady, Sagie Benaim, Lior Wolf, Amit Bermano:
Masked Based Unsupervised Content Transfer. ICLR 2020 - [c144]Eliya Nachmani, Yossi Adi, Lior Wolf:
Voice Separation with an Unknown Number of Multiple Speakers. ICML 2020: 7164-7175 - [c143]Adam Polyak, Lior Wolf, Yaniv Taigman:
TTS Skins: Speaker Conversion via ASR. INTERSPEECH 2020: 786-790 - [c142]Adam Polyak, Lior Wolf, Yossi Adi, Yaniv Taigman:
Unsupervised Cross-Domain Singing Voice Conversion. INTERSPEECH 2020: 801-805 - [c141]Michael Michelashvili, Lior Wolf:
Hierarchical Timbre-painting and Articulation Generation. ISMIR 2020: 916-922 - [c140]Jhonathan Osin, Lior Wolf, Guy Gurevitch, Nimrod Jakob Keynan, Tom Fruchtman-Steinbok, Ayelet Or-Borichev, Talma Hendler:
Learning Personal Representations from fMRI by Predicting Neurofeedback Performance. MICCAI (7) 2020: 469-478 - [c139]Tomer Galanti, Lior Wolf:
On the Modularity of Hypernetworks. NeurIPS 2020 - [c138]Shir Gur, Sagie Benaim, Lior Wolf:
Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample. NeurIPS 2020 - [c137]Etai Littwin, Tomer Galanti, Lior Wolf, Greg Yang:
On Infinite-Width Hypernetworks. NeurIPS 2020 - [c136]Niv Pekar, Yaniv Benny, Lior Wolf:
Generating Correct Answers for Progressive Matrices Intelligence Tests. NeurIPS 2020 - [c135]Shir Gur, Lior Wolf, Lior Golgher, Pablo Blinder:
Microvascular Dynamics from 4D Microscopy Using Temporal Segmentation. PSB 2020: 331-342 - [c134]Yoav Shalev, Lior Wolf:
End to End Lip Synchronization with a Temporal AutoEncoder. WACV 2020: 330-339 - [c133]Yoav Chai, Raja Giryes, Lior Wolf:
Supervised and Unsupervised Learning of Parameterized Color Enhancement. WACV 2020: 981-989 - [i102]Etai Littwin, Lior Wolf:
On the Convex Behavior of Deep Neural Networks in Relation to the Layers' Width. CoRR abs/2001.04878 (2020) - [i101]Ori Press, Tomer Galanti, Sagie Benaim, Lior Wolf:
Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer. CoRR abs/2001.05017 (2020) - [i100]Lior Wolf, Sagie Benaim, Tomer Galanti:
Unsupervised Learning of the Set of Local Maxima. CoRR abs/2001.05026 (2020) - [i99]Shir Gur, Lior Wolf:
Single Image Depth Estimation Trained via Depth from Defocus Cues. CoRR abs/2001.05036 (2020) - [i98]Omri Lifshitz, Lior Wolf:
A Sample Selection Approach for Universal Domain Adaptation. CoRR abs/2001.05071 (2020) - [i97]Shir Gur, Lior Wolf, Lior Golgher, Pablo Blinder:
Microvascular Dynamics from 4D Microscopy Using Temporal Segmentation. CoRR abs/2001.05076 (2020) - [i96]Lior Wolf, Tomer Galanti, Tamir Hazan:
A Formal Approach to Explainability. CoRR abs/2001.05207 (2020) - [i95]Irad Peleg, Lior Wolf:
Structured GANs. CoRR abs/2001.05216 (2020) - [i94]Yoav Chai, Raja Giryes, Lior Wolf:
Supervised and Unsupervised Learning of Parameterized Color Enhancement. CoRR abs/2001.05843 (2020) - [i93]Etai Littwin, Lior Wolf:
Residual Tangent Kernels. CoRR abs/2001.10460 (2020) - [i92]Eliya Nachmani, Lior Wolf:
Molecule Property Prediction and Classification with Graph Hypernetworks. CoRR abs/2002.00240 (2020) - [i91]Tomer Galanti, Lior Wolf:
Comparing the Parameter Complexity of Hypernetworks and the Embedding-Based Alternative. CoRR abs/2002.10006 (2020) - [i90]Tomer Galanti, Ofir Nabati, Lior Wolf:
A Critical View of the Structural Causal Model. CoRR abs/2002.10007 (2020) - [i89]Aviram Bar-Haim, Lior Wolf:
ScopeFlow: Dynamic Scene Scoping for Optical Flow. CoRR abs/2002.10770 (2020) - [i88]Eliya Nachmani, Yossi Adi, Lior Wolf:
Voice Separation with an Unknown Number of Multiple Speakers. CoRR abs/2003.01531 (2020) - [i87]Etai Littwin, Tomer Galanti, Lior Wolf:
On the Optimization Dynamics of Wide Hypernetworks. CoRR abs/2003.12193 (2020) - [i86]Sagie Benaim, Ron Mokady, Amit Bermano, Daniel Cohen-Or, Lior Wolf:
Structural-analogy from a Single Image Pair. CoRR abs/2004.02222 (2020) - [i85]Yaniv Benny, Tomer Galanti, Sagie Benaim, Lior Wolf:
Evaluation Metrics for Conditional Image Generation. CoRR abs/2004.12361 (2020) - [i84]Oran Gafni, Lior Wolf:
Wish You Were Here: Context-Aware Human Generation. CoRR abs/2005.10663 (2020) - [i83]Shir Gur, Sagie Benaim, Lior Wolf:
Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample. CoRR abs/2006.12226 (2020) - [i82]Michael Rotman, Rafi Brada, Israel Beniaminy, Sangtae Ahn, Christopher J. Hardy, Lior Wolf:
A Novel Approach for Correcting Multiple Discrete Rigid In-Plane Motions Artefacts in MRI Scans. CoRR abs/2006.13804 (2020) - [i81]Itzik Malkiel, Lior Wolf:
MTAdam: Automatic Balancing of Multiple Training Loss Terms. CoRR abs/2006.14683 (2020) - [i80]Eugene Kharitonov, Morgane Rivière, Gabriel Synnaeve, Lior Wolf, Pierre-Emmanuel Mazaré, Matthijs Douze, Emmanuel Dupoux:
Data Augmenting Contrastive Learning of Speech Representations in the Time Domain. CoRR abs/2007.00991 (2020) - [i79]Michael Rotman, Lior Wolf:
Shuffling Recurrent Neural Networks. CoRR abs/2007.07324 (2020) - [i78]Adam Polyak, Lior Wolf, Yossi Adi, Yaniv Taigman:
Unsupervised Cross-Domain Singing Voice Conversion. CoRR abs/2008.02830 (2020) - [i77]Yuval Nirkin, Lior Wolf, Yosi Keller, Tal Hassner:
DeepFake Detection Based on the Discrepancy Between the Face and its Context. CoRR abs/2008.12262 (2020) - [i76]Michael Michelashvili, Lior Wolf:
Hierarchical Timbre-Painting and Articulation Generation. CoRR abs/2008.13095 (2020) - [i75]Yaniv Benny, Niv Pekar, Lior Wolf:
Scale-Localized Abstract Reasoning. CoRR abs/2009.09405 (2020) - [i74]Maor Ivgi, Yaniv Benny, Avichai Ben-David, Jonathan Berant, Lior Wolf:
Scene Graph to Image Generation with Contextualized Object Layout Refinement. CoRR abs/2009.10939 (2020) - [i73]Oren Nuriel, Sagie Benaim, Lior Wolf:
Permuted AdaIN: Enhancing the Representation of Local Cues in Image Classifiers. CoRR abs/2010.05785 (2020) - [i72]Niv Pekar, Yaniv Benny, Lior Wolf:
Generating Correct Answers for Progressive Matrices Intelligence Tests. CoRR abs/2011.00496 (2020) - [i71]Shlomo E. Chazan, Lior Wolf, Eliya Nachmani, Yossi Adi:
Single channel voice separation for unknown number of speakers under reverberant and noisy settings. CoRR abs/2011.02329 (2020) - [i70]Yoav Shalev, Lior Wolf:
Image Animation with Perturbed Masks. CoRR abs/2011.06922 (2020) - [i69]Oran Gafni, Oron Ashual, Lior Wolf:
Single-Shot Freestyle Dance Reenactment. CoRR abs/2012.01158 (2020) - [i68]Shir Gur, Ameen Ali, Lior Wolf:
Visualization of Supervised and Self-Supervised Neural Networks via Attribution Guided Factorization. CoRR abs/2012.02166 (2020) - [i67]Hila Chefer, Shir Gur, Lior Wolf:
Transformer Interpretability Beyond Attention Visualization. CoRR abs/2012.09838 (2020) - [i66]Yuval Nirkin, Lior Wolf, Tal Hassner:
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation. CoRR abs/2012.11582 (2020)
2010 – 2019
- 2019
- [j28]Orna Almogi, Lena Dankin, Nachum Dershowitz, Lior Wolf:
A Hackathon for Classical Tibetan. J. Data Min. Digit. Humanit. 2019 (2019) - [c132]Lior Wolf, Tomer Galanti, Tamir Hazan:
A Formal Approach to Explainability. AIES 2019: 255-261 - [c131]Benjamin Eliot Klein, Lior Wolf:
End-To-End Supervised Product Quantization for Image Search and Retrieval. CVPR 2019: 5041-5050 - [c130]Shir Gur, Lior Wolf:
Single Image Depth Estimation Trained via Depth From Defocus Cues. CVPR 2019: 7683-7692 - [c129]Michael Rotman, Itamar Reis, Dovi Poznanski, Lior Wolf:
Detect the Unexpected: Novelty Detection in Large Astrophysical Surveys using Fisher Vectors. KDIR 2019: 124-134 - [c128]Michael Michelashvili, Sagie Benaim, Lior Wolf:
Semi-supervised Monaural Singing Voice Separation with a Masking Network Trained on Synthetic Mixtures. ICASSP 2019: 291-295 - [c127]Adam Polyak, Lior Wolf:
Attention-based Wavenet Autoencoder for Universal Voice Conversion. ICASSP 2019: 6800-6804 - [c126]Eliya Nachmani, Lior Wolf:
Unsupervised Polyglot Text-to-speech. ICASSP 2019: 7055-7059 - [c125]Tomer Cohen, Lior Wolf:
Bidirectional One-Shot Unsupervised Domain Mapping. ICCV 2019: 1784-1792 - [c124]Gidi Littwin, Lior Wolf:
Deep Meta Functionals for Shape Representation. ICCV 2019: 1824-1833 - [c123]Sagie Benaim, Michael Khaitov, Tomer Galanti, Lior Wolf:
Domain Intersection and Domain Difference. ICCV 2019: 3444-3452 - [c122]Oron Ashual, Lior Wolf:
Specifying Object Attributes and Relations in Interactive Scene Generation. ICCV 2019: 4560-4568 - [c121]Oran Gafni, Lior Wolf, Yaniv Taigman:
Live Face De-Identification in Video. ICCV 2019: 9377-9386 - [c120]Shir Gur, Lior Wolf, Lior Golgher, Pablo Blinder:
Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural Network. ICCV 2019: 10721-10730 - [c119]Sivan Keret, Lior Wolf, Nachum Dershowitz, Eric Werner, Orna Almogi, Dorji Wangchuk:
Transductive Learning for Reading Handwritten Tibetan Manuscripts. ICDAR 2019: 214-221 - [c118]Noam Mor, Lior Wolf, Adam Polyak, Yaniv Taigman:
A Universal Music Translation Network. ICLR (Poster) 2019 - [c117]Ori Press, Tomer Galanti, Sagie Benaim, Lior Wolf:
Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer. ICLR (Poster) 2019 - [c116]Lior Wolf, Sagie Benaim, Tomer Galanti:
Unsupervised Learning of the Set of Local Maxima. ICLR (Poster) 2019 - [c115]Eliya Nachmani, Lior Wolf:
Unsupervised Singing Voice Conversion. INTERSPEECH 2019: 2583-2587 - [c114]Eliya Nachmani, Lior Wolf:
Hyper-Graph-Network Decoders for Block Codes. NeurIPS 2019: 2326-2336 - [i65]Eliya Nachmani, Lior Wolf:
Unsupervised Polyglot Text To Speech. CoRR abs/1902.02263 (2019) - [i64]Eliya Nachmani, Lior Wolf:
Unsupervised Singing Voice Conversion. CoRR abs/1904.06590 (2019) - [i63]Michael Michelashvili, Lior Wolf:
Audio Denoising with Deep Network Priors. CoRR abs/1904.07612 (2019) - [i62]Oran Gafni, Lior Wolf, Yaniv Taigman:
Vid2Game: Controllable Characters Extracted from Real-World Videos. CoRR abs/1904.08379 (2019) - [i61]Adam Polyak, Lior Wolf, Yaniv Taigman:
TTS Skins: Speaker Conversion via ASR. CoRR abs/1904.08983 (2019) - [i60]Itzik Malkiel, Sangtae Ahn, Valentina Taviani, Anne Menini, Lior Wolf, Christopher J. Hardy:
Conditional WGANs with Adaptive Gradient Balancing for Sparse MRI Reconstruction. CoRR abs/1905.00985 (2019) - [i59]Ron Mokady, Sagie Benaim, Lior Wolf, Amit Bermano:
Mask Based Unsupervised Content Transfer. CoRR abs/1906.06558 (2019) - [i58]Shir Gur, Lior Wolf, Lior Golgher, Pablo Blinder:
Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural Network. CoRR abs/1908.01373 (2019) - [i57]Gidi Littwin, Lior Wolf:
Deep Meta Functionals for Shape Representation. CoRR abs/1908.06277 (2019) - [i56]Sagie Benaim, Michael Khaitov, Tomer Galanti, Lior Wolf:
Domain Intersection and Domain Difference. CoRR abs/1908.11628 (2019) - [i55]Tomer Cohen, Lior Wolf:
Bidirectional One-Shot Unsupervised Domain Mapping. CoRR abs/1909.01595 (2019) - [i54]Oron Ashual, Lior Wolf:
Specifying Object Attributes and Relations in Interactive Scene Generation. CoRR abs/1909.05379 (2019) - [i53]Taivanbat Badamdorj, Adiel Ben-Shalom, Nachum Dershowitz, Lior Wolf:
Fast Search with Poor OCR. CoRR abs/1909.07899 (2019) - [i52]Eliya Nachmani, Lior Wolf:
Hyper-Graph-Network Decoders for Block Codes. CoRR abs/1909.09036 (2019) - [i51]Barak Battash, Lior Wolf:
Adaptive and Iteratively Improving Recurrent Lateral Connections. CoRR abs/1910.11105 (2019) - [i50]Michael Rotman, Lior Wolf:
Electric Analog Circuit Design with Hypernetworks and a Differential Simulator. CoRR abs/1911.03053 (2019) - [i49]Eliya Nachmani, Lior Wolf:
A Gated Hypernet Decoder for Polar Codes. CoRR abs/1911.03229 (2019) - [i48]Itzik Malkiel, Lior Wolf:
MML: Maximal Multiverse Learning for Robust Fine-Tuning of Language Models. CoRR abs/1911.06182 (2019) - [i47]Oran Gafni, Lior Wolf, Yaniv Taigman:
Live Face De-Identification in Video. CoRR abs/1911.08348 (2019) - [i46]Barak Itkin, Lior Wolf, Nachum Dershowitz:
Computational Ceramicology. CoRR abs/1911.09960 (2019) - [i45]Itzik Malkiel, Michael Mrejen, Lior Wolf, Haim Suchowski:
Spectra2pix: Generating Nanostructure Images from Spectra. CoRR abs/1911.11525 (2019) - [i44]Shir Gur, Tal Shaharabany, Lior Wolf:
End to End Trainable Active Contours via Differentiable Rendering. CoRR abs/1912.00367 (2019) - [i43]Eyal Shulman, Lior Wolf:
Meta Decision Trees for Explainable Recommendation Systems. CoRR abs/1912.09140 (2019) - [i42]Yaniv Benny, Lior Wolf:
OneGAN: Simultaneous Unsupervised Learning of Conditional Image Generation, Foreground Segmentation, and Fine-Grained Clustering. CoRR abs/1912.13471 (2019) - 2018
- [j27]Yaniv Bar, Idit Diamant, Lior Wolf, Sivan Lieberman, Eli Konen, Hayit Greenspan:
Chest pathology identification using deep feature selection with non-medical training. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(3): 259-263 (2018) - [c113]Naama Hadad, Lior Wolf, Moni Shahar:
A Two-Step Disentanglement Method. CVPR 2018: 772-780 - [c112]Yedid Hoshen, Lior Wolf:
Unsupervised Correlation Analysis. CVPR 2018: 3319-3328 - [c111]Sagie Benaim, Tomer Galanti, Lior Wolf:
Estimating the Success of Unsupervised Image to Image Translation. ECCV (5) 2018: 222-238 - [c110]Yedid Hoshen, Lior Wolf:
NAM: Non-Adversarial Unsupervised Domain Mapping. ECCV (14) 2018: 455-470 - [c109]Yedid Hoshen, Lior Wolf:
Non-Adversarial Unsupervised Word Translation. EMNLP 2018: 469-478 - [c108]Itzik Malkiel, Michael Mrejen, Achiya Nagler, Uri Arieli, Lior Wolf, Haim Suchowski:
Deep learning for the design of nano-photonic structures. ICCP 2018: 1-14 - [c107]Gregory Axler, Lior Wolf:
Toward a Dataset-Agnostic Word Segmentation Method. ICIP 2018: 2635-2639 - [c106]Tomer Galanti, Lior Wolf, Sagie Benaim:
The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings. ICLR (Poster) 2018 - [c105]Yedid Hoshen, Lior Wolf:
Identifying Analogies Across Domains. ICLR (Poster) 2018 - [c104]Yedid Hoshen, Lior Wolf:
NAM - Unsupervised Cross-Domain Image Mapping without Cycles or GANs. ICLR (Workshop) 2018 - [c103]Yaniv Taigman, Lior Wolf, Adam Polyak, Eliya Nachmani:
VoiceLoop: Voice Fitting and Synthesis via a Phonological Loop. ICLR (Poster) 2018 - [c102]Eliya Nachmani, Adam Polyak, Yaniv Taigman, Lior Wolf:
Fitting New Speakers Based on a Short Untranscribed Sample. ICML 2018: 3680-3688 - [c101]Amit Zohar, Lior Wolf:
Automatic Program Synthesis of Long Programs with a Learned Garbage Collector. NeurIPS 2018: 2098-2107 - [c100]Sagie Benaim, Lior Wolf:
One-Shot Unsupervised Cross Domain Translation. NeurIPS 2018: 2108-2118 - [c99]Etai Littwin, Lior Wolf:
Regularizing by the Variance of the Activations' Sample-Variances. NeurIPS 2018: 2119-2129 - [c98]Gil Levi, Pinhas Nisnevich, Adiel Ben-Shalom, Nachum Dershowitz, Lior Wolf:
A Method for Segmentation, Matching and Alignment of Dead Sea Scrolls. WACV 2018: 208-217 - [c97]Noam Mor, Lior Wolf:
Confidence Prediction for Lexicon-Free OCR. WACV 2018: 218-225 - [c96]Irad Peleg, Lior Wolf:
Structured GANs. WACV 2018: 719-728 - [i41]Yedid Hoshen, Lior Wolf:
An Iterative Closest Point Method for Unsupervised Word Translation. CoRR abs/1801.06126 (2018) - [i40]Eliya Nachmani, Adam Polyak, Yaniv Taigman, Lior Wolf:
Fitting New Speakers Based on a Short Untranscribed Sample. CoRR abs/1802.06984 (2018) - [i39]Yoav Kaempfer, Lior Wolf:
Learning the Multiple Traveling Salesmen Problem with Permutation Invariant Pooling Networks. CoRR abs/1803.09621 (2018) - [i38]Yedid Hoshen, Lior Wolf:
Unsupervised Correlation Analysis. CoRR abs/1804.00347 (2018) - [i37]Noam Mor, Lior Wolf, Adam Polyak, Yaniv Taigman:
A Universal Music Translation Network. CoRR abs/1805.07848 (2018) - [i36]Noam Mor, Lior Wolf:
Confidence Prediction for Lexicon-Free OCR. CoRR abs/1805.11161 (2018) - [i35]Yedid Hoshen, Lior Wolf:
NAM: Non-Adversarial Unsupervised Domain Mapping. CoRR abs/1806.00804 (2018) - [i34]Sagie Benaim, Lior Wolf:
One-Shot Unsupervised Cross Domain Translation. CoRR abs/1806.06029 (2018) - [i33]Tomer Galanti, Sagie Benaim, Lior Wolf:
Generalization Bounds for Unsupervised Cross-Domain Mapping with WGANs. CoRR abs/1807.08501 (2018) - [i32]Doron Sobol, Lior Wolf, Yaniv Taigman:
Visual Analogies between Atari Games for Studying Transfer Learning in RL. CoRR abs/1807.11074 (2018) - [i31]Amit Zohar, Lior Wolf:
Automatic Program Synthesis of Long Programs with a Learned Garbage Collector. CoRR abs/1809.04682 (2018) - [i30]Etai Littwin, Lior Wolf:
Regularizing by the Variance of the Activations' Sample-Variances. CoRR abs/1811.08764 (2018) - [i29]Michael Michelashvili, Sagie Benaim, Lior Wolf:
Semi-Supervised Monaural Singing Voice Separation With a Masking Network Trained on Synthetic Mixtures. CoRR abs/1812.06087 (2018) - 2017
- [c95]Aviv Eisenschtat, Lior Wolf:
Linking Image and Text with 2-Way Nets. CVPR 2017: 1855-1865 - [c94]Shay Zweig, Lior Wolf:
InterpoNet, a Brain Inspired Neural Network for Optical Flow Dense Interpolation. CVPR 2017: 6363-6372 - [c93]Amit Shaked, Lior Wolf:
Improved Stereo Matching with Constant Highway Networks and Reflective Confidence Learning. CVPR 2017: 6901-6910 - [c92]Tal Schuster, Lior Wolf, David Gadot:
Optical Flow Requires Multiple Strategies (but Only One Network). CVPR 2017: 6921-6930 - [c91]Ofir Press, Lior Wolf:
Using the Output Embedding to Improve Language Models. EACL (2) 2017: 157-163 - [c90]Dotan Kaufman, Gil Levi, Tal Hassner, Lior Wolf:
Temporal Tessellation: A Unified Approach for Video Analysis. ICCV 2017: 94-104 - [c89]Lior Wolf, Yaniv Taigman, Adam Polyak:
Unsupervised Creation of Parameterized Avatars. ICCV 2017: 1539-1547 - [c88]Lior Uzan, Nachum Dershowitz, Lior Wolf:
Qumran Letter Restoration by Rotation and Reflection Modified PixelCNN. ICDAR 2017: 23-29 - [c87]Nachum Dershowitz, Daniel Labenski, Adi Silberpfennig, Lior Wolf, Yaron Tsur:
Relating Articles Textually and Visually. ICDAR 2017: 274-280 - [c86]Francesco Banterle, Barak Itkin, Matteo Dellepiane, Lior Wolf, Marco Callieri, Nachum Dershowitz, Roberto Scopigno:
VASESKETCH: Automatic 3D Representation of Pottery from Paper Catalog Drawings. ICDAR 2017: 683-690 - [c85]Yaniv Taigman, Adam Polyak, Lior Wolf:
Unsupervised Cross-Domain Image Generation. ICLR (Poster) 2017 - [c84]Dor Levy, Lior Wolf:
Learning to Align the Source Code to the Compiled Object Code. ICML 2017: 2043-2051 - [c83]Amir Bar, Lior Wolf, Orna Bergman Amitai, Eyal Toledano, Eldad Elnekave:
Compression fractures detection on CT. Medical Imaging: Computer-Aided Diagnosis 2017: 1013440 - [c82]Sagie Benaim, Lior Wolf:
One-Sided Unsupervised Domain Mapping. NIPS 2017: 752-762 - [p1]Idit Diamant, Yaniv Bar, Ofer Geva, Lior Wolf, Gali Zimmerman, Sivan Lieberman, Eli Konen, Hayit Greenspan:
Chest Radiograph Pathology Categorization via Transfer Learning. Deep Learning for Medical Image Analysis 2017: 299-320 - [i28]Amit Shaked, Lior Wolf:
Improved Stereo Matching with Constant Highway Networks and Reflective Confidence Learning. CoRR abs/1701.00165 (2017) - [i27]Nadav Israel, Lior Wolf, Ran Barzilay, Gal Shoval:
Robust Features Face. CoRR abs/1702.01426 (2017) - [i26]Tomer Galanti, Lior Wolf:
A Theory of Output-Side Unsupervised Domain Adaptation. CoRR abs/1703.01606 (2017) - [i25]Lior Wolf, Yaniv Taigman, Adam Polyak:
Unsupervised Creation of Parameterized Avatars. CoRR abs/1704.05693 (2017) - [i24]Sagie Benaim, Lior Wolf:
One-Sided Unsupervised Domain Mapping. CoRR abs/1706.00826 (2017) - [i23]Ofir Press, Amir Bar, Ben Bogin, Jonathan Berant, Lior Wolf:
Language Generation with Recurrent Generative Adversarial Networks without Pre-training. CoRR abs/1706.01399 (2017) - [i22]Amir Bar, Lior Wolf, Orna Bergman Amitai, Eyal Toledano, Eldad Elnekave:
Compression Fractures Detection on CT. CoRR abs/1706.01671 (2017) - [i21]Yaniv Taigman, Lior Wolf, Adam Polyak, Eliya Nachmani:
Voice Synthesis for in-the-Wild Speakers via a Phonological Loop. CoRR abs/1707.06588 (2017) - [i20]Tomer Galanti, Lior Wolf:
Unsupervised Learning of Semantic Mappings. CoRR abs/1709.00074 (2017) - [i19]Naama Hadad, Lior Wolf, Moni Shahar:
Two-Step Disentanglement for Financial Data. CoRR abs/1709.00199 (2017) - [i18]Benjamin Eliot Klein, Lior Wolf:
In Defense of Product Quantization. CoRR abs/1711.08589 (2017) - [i17]Eli David, Nathan S. Netanyahu, Lior Wolf:
DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess. CoRR abs/1711.09667 (2017) - [i16]Sagie Benaim, Tomer Galanti, Lior Wolf:
Maximally Distant Cross Domain Generators for Estimating Per-Sample Error. CoRR abs/1712.07886 (2017) - 2016
- [j26]Itai Ben-Shalom, Noga Levy, Lior Wolf, Nachum Dershowitz, Adiel Ben-Shalom, Roni Shweka, Yaacov Choueka, Tamir Hazan, Yaniv Bar:
Active Congruency-Based Reranking. Frontiers Digit. Humanit. 3: 7 (2016) - [c81]Orna Almogi, Lena Dankin, Nachum Dershowitz, Yair Hoffman, Dimitri Pauls, Dorji Wangchuk, Lior Wolf:
Stemming and Segmentation for Classical Tibetan. CICLing (1) 2016: 294-306 - [c80]Arik Poznanski, Lior Wolf:
CNN-N-Gram for HandwritingWord Recognition. CVPR 2016: 2305-2314 - [c79]Etai Littwin, Lior Wolf:
The Multiverse Loss for Robust Transfer Learning. CVPR 2016: 3957-3966 - [c78]David Gadot, Lior Wolf:
PatchBatch: A Batch Augmented Loss for Optical Flow. CVPR 2016: 4236-4245 - [c77]Elad Walach, Lior Wolf:
Learning to Count with CNN Boosting. ECCV (2) 2016: 660-676 - [c76]Guy Lev, Gil Sadeh, Benjamin Eliot Klein, Lior Wolf:
RNN Fisher Vectors for Action Recognition and Image Annotation. ECCV (6) 2016: 833-850 - [c75]Omid E. David, Nathan S. Netanyahu, Lior Wolf:
DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess. ICANN (2) 2016: 88-96 - [c74]Etai Littwin, Lior Wolf:
Complexity of multiverse networks and their multilayer generalization. ICPR 2016: 372-377 - [c73]Yackov Lubarsky, Amit Wolf, Lior Wolf, Curime Batliner, Jake Newsum:
Softbot: Software-based lead-through for rigid servo robots. ICRA 2016: 2401-2407 - [c72]Maria Letizia Gualandi, Roberto Scopigno, Lior Wolf, Julian Richards, Jaume Buxeda i Garrigos, Michael Heinzelmann, Miguel Angel Hervas, Llorenc Vila, Massimo Zallocco:
ArchAIDE - Archaeological Automatic Interpretation and Documentation of cEramics. GCH 2016: 203-206 - [c71]Tal Hassner, Gilad Saban, Lior Wolf:
Texture instance similarity via dense correspondences. WACV 2016: 1-9 - [i15]Ofir Press, Lior Wolf:
Using the Output Embedding to Improve Language Models. CoRR abs/1608.05859 (2016) - [i14]Aviv Eisenschtat, Lior Wolf:
Capturing Deep Correlations with 2-Way Nets. CoRR abs/1608.07973 (2016) - [i13]Orna Almogi, Lena Dankin, Nachum Dershowitz, Lior Wolf:
A Hackathon for Classical Tibetan. CoRR abs/1609.08389 (2016) - [i12]Yaniv Taigman, Adam Polyak, Lior Wolf:
Unsupervised Cross-Domain Image Generation. CoRR abs/1611.02200 (2016) - [i11]Etai Littwin, Lior Wolf:
The Loss Surface of Residual Networks: Ensembles and the Role of Batch Normalization. CoRR abs/1611.02525 (2016) - [i10]Tal Schuster, Lior Wolf, David Gadot:
Optical Flow Requires Multiple Strategies (but only one network). CoRR abs/1611.05607 (2016) - [i9]Shay Zweig, Lior Wolf:
InterpoNet, A brain inspired neural network for optical flow dense interpolation. CoRR abs/1611.09803 (2016) - [i8]Dotan Kaufman, Gil Levi, Tal Hassner, Lior Wolf:
Temporal Tessellation for Video Annotation and Summarization. CoRR abs/1612.06950 (2016) - 2015
- [j25]Adam Polyak, Lior Wolf:
Channel-Level Acceleration of Deep Face Representations. IEEE Access 3: 2163-2175 (2015) - [c70]Yaniv Taigman, Ming Yang, Marc'Aurelio Ranzato, Lior Wolf:
Web-scale training for face identification. CVPR 2015: 2746-2754 - [c69]Benjamin Eliot Klein, Guy Lev, Gil Sadeh, Lior Wolf:
Associating neural word embeddings with deep image representations using Fisher Vectors. CVPR 2015: 4437-4446 - [c68]Benjamin Eliot Klein, Lior Wolf, Yehuda Afek:
A Dynamic Convolutional Layer for short rangeweather prediction. CVPR 2015: 4840-4848 - [c67]Lior Uzan, Lior Wolf:
I know that voice: Identifying the voice actor behind the voice. ICB 2015: 46-51 - [c66]Ofir Levy, Lior Wolf:
Live Repetition Counting. ICCV 2015: 3020-3028 - [c65]Adi Silberpfennig, Lior Wolf, Nachum Dershowitz, Seraogi Bhagesh, Bidyut B. Chaudhuri:
Improving OCR for an under-resourced script using unsupervised word-spotting. ICDAR 2015: 706-710 - [c64]Gil Sadeh, Lior Wolf, Tal Hassner, Nachum Dershowitz, Daniel Stökl Ben Ezra:
Viral transcript alignment. ICDAR 2015: 711-715 - [c63]Yaniv Bar, Idit Diamant, Lior Wolf, Sivan Lieberman, Eli Konen, Hayit Greenspan:
Chest pathology detection using deep learning with non-medical training. ISBI 2015: 294-297 - [c62]Yaniv Bar, Idit Diamant, Lior Wolf, Hayit Greenspan:
Deep learning with non-medical training used for chest pathology identification. Medical Imaging: Computer-Aided Diagnosis 2015: 94140V - [c61]Guy Lev, Benjamin Eliot Klein, Lior Wolf:
In Defense of Word Embedding for Generic Text Representation. NLDB 2015: 35-50 - [r2]Lior Wolf:
Face Recognition, Geometric vs. Appearance-Based. Encyclopedia of Biometrics 2015: 495-500 - [i7]Etai Littwin, Lior Wolf:
The Multiverse Loss for Robust Transfer Learning. CoRR abs/1511.09033 (2015) - [i6]David Gadot, Lior Wolf:
PatchBatch: a Batch Augmented Loss for Optical Flow. CoRR abs/1512.01815 (2015) - [i5]Guy Lev, Gil Sadeh, Benjamin Eliot Klein, Lior Wolf:
RNN Fisher Vectors for Action Recognition and Image Annotation. CoRR abs/1512.03958 (2015) - 2014
- [j24]Lior Wolf, Yair Hanani, Kfir Bar, Nachum Dershowitz:
Joint word2vec Networks for Bilingual Semantic Representations. Int. J. Comput. Linguistics Appl. 5(1): 27-42 (2014) - [j23]Tal Hassner, Liav Assif, Lior Wolf:
When standard RANSAC is not enough: cross-media visual matching with hypothesis relevancy. Mach. Vis. Appl. 25(4): 971-983 (2014) - [j22]Assaf Zaritsky, Doron Kaplan, Inbal Hecht, Sari Natan, Lior Wolf, Nir S. Gov, Eshel Ben-Jacob, Ilan Tsarfaty:
Propagating Waves of Directionality and Coordination Orchestrate Collective Cell Migration. PLoS Comput. Biol. 10(7) (2014) - [c60]Lior Wolf, Yair Hanani, Tal Hassner:
A Piggyback Representation for Action Recognition. CVPR Workshops 2014: 520-525 - [c59]Yaniv Taigman, Ming Yang, Marc'Aurelio Ranzato, Lior Wolf:
DeepFace: Closing the Gap to Human-Level Performance in Face Verification. CVPR 2014: 1701-1708 - [c58]Itai Ben-Shalom, Noga Levy, Lior Wolf, Nachum Dershowitz, Adiel Ben-Shalom, Roni Shweka, Yaacov Choueka, Tamir Hazan, Yaniv Bar:
Congruency-Based Reranking. CVPR 2014: 2107-2114 - [c57]Adiel Ben-Shalom, Yaacov Choueka, Nachum Dershowitz, Roni Shweka, Lior Wolf:
Where is my Other Half? DH 2014 - [c56]Benjamin Eliot Klein, Nachum Dershowitz, Lior Wolf, Orna Almogi, Dorji Wangchuk:
Finding Inexact Quotations Within a Tibetan Buddhist Corpus. DH 2014 - [c55]Yaniv Bar, Noga Levy, Lior Wolf:
Classification of Artistic Styles Using Binarized Features Derived from a Deep Neural Network. ECCV Workshops (1) 2014: 71-84 - [c54]Gil Freidlin, Noga Levy, Lior Wolf:
Gait-Based Person Identification Using Motion Interchange Patterns. ECCV Workshops (2) 2014: 94-110 - [c53]Alon Kovalchuk, Lior Wolf, Nachum Dershowitz:
A Simple and Fast Word Spotting Method. ICFHR 2014: 3-8 - [i4]Yaniv Taigman, Ming Yang, Marc'Aurelio Ranzato, Lior Wolf:
Web-Scale Training for Face Identification. CoRR abs/1406.5266 (2014) - [i3]Benjamin Eliot Klein, Guy Lev, Gil Sadeh, Lior Wolf:
Fisher Vectors Derived from Hybrid Gaussian-Laplacian Mixture Models for Image Annotation. CoRR abs/1411.7399 (2014) - 2013
- [j21]Assaf Zaritsky, Nathan Manor, Lior Wolf, Eshel Ben-Jacob, Ilan Tsarfaty:
Benchmark for multi-cellular segmentation of bright field microscopy images. BMC Bioinform. 14: 319 (2013) - [j20]Roni Shweka, Yaacov Choueka, Lior Wolf, Nachum Dershowitz:
Automatic extraction of catalog data from digital images of historical manuscripts. Lit. Linguistic Comput. 28(2): 315-330 (2013) - [c52]Yair Hanani, Noga Levy, Lior Wolf:
Evaluating New Variants of Motion Interchange Patterns. CVPR Workshops 2013: 263-268 - [c51]Lior Wolf, Noga Levy:
The SVM-Minus Similarity Score for Video Face Recognition. CVPR 2013: 3523-3530 - [c50]Noga Levy, Lior Wolf, Peter A. Stokes:
Document classification based on what is there and what should be there. DH 2013: 279-281 - [c49]Oren Barkan, Jonathan Weill, Lior Wolf, Hagai Aronowitz:
Fast High Dimensional Vector Multiplication Face Recognition. ICCV 2013: 1960-1967 - [c48]Yoram Zarai, Tamar Lavee, Nachum Dershowitz, Lior Wolf:
Integrating Copies Obtained from Old and New Preservation Efforts. ICDAR 2013: 47-51 - [c47]Tal Hassner, Lior Wolf, Nachum Dershowitz:
OCR-Free Transcript Alignment. ICDAR 2013: 1310-1314 - 2012
- [j19]Tal Hassner, Malte Rehbein, Peter A. Stokes, Lior Wolf:
Computation and Palaeography: Potentials and Limits (Dagstuhl Perspectives Workshop 12382). Dagstuhl Manifestos 2(1): 14-35 (2012) - [j18]Orit Kliper-Gross, Tal Hassner, Lior Wolf:
The Action Similarity Labeling Challenge. IEEE Trans. Pattern Anal. Mach. Intell. 34(3): 615-621 (2012) - [c46]Noga Levy, Lior Wolf, Nachum Dershowitz, Peter A. Stokes:
Estimating the Distinctiveness of Graphemes and Allographs in Palaeographic Classification. DH 2012: 264-267 - [c45]Noga Levy, Lior Wolf:
Minimal Correlation Classification. ECCV (6) 2012: 29-42 - [c44]Orit Kliper-Gross, Yaron Gurovich, Tal Hassner, Lior Wolf:
Motion Interchange Patterns for Action Recognition in Unconstrained Videos. ECCV (6) 2012: 256-269 - [i2]Tal Hassner, Malte Rehbein, Peter A. Stokes, Lior Wolf:
Computation and Palaeography: Potentials and Limits (Dagstuhl Perspectives Workshop 12382). Dagstuhl Reports 2(9): 184-199 (2012) - 2011
- [j17]Gilad Wainreb, Lior Wolf, Haim Ashkenazy, Yves Dehouck, Nir Ben-Tal:
Protein stability: a single recorded mutation aids in predicting the effects of other mutations in the same amino acid site. Bioinform. 27(23): 3286-3292 (2011) - [j16]Oliver van Kaick, Andrea Tagliasacchi, Oana Sidi, Hao Zhang, Daniel Cohen-Or, Lior Wolf, Ghassan Hamarneh:
Prior Knowledge for Part Correspondence. Comput. Graph. Forum 30(2): 553-562 (2011) - [j15]Moshe Guttmann, Lior Wolf, Daniel Cohen-Or:
Content aware video manipulation. Comput. Vis. Image Underst. 115(12): 1662-1678 (2011) - [j14]Lior Wolf, Rotem Littman, Naama Mayer, Tanya German, Nachum Dershowitz, Roni Shweka, Yaacov Choueka:
Identifying Join Candidates in the Cairo Genizah. Int. J. Comput. Vis. 94(1): 118-135 (2011) - [j13]Lior Wolf, Tal Hassner, Yaniv Taigman:
Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics. IEEE Trans. Pattern Anal. Mach. Intell. 33(10): 1978-1990 (2011) - [j12]Lior Wolf, Chen Goldberg, Nathan Manor, Roded Sharan, Eytan Ruppin:
Gene Expression in the Rodent Brain is Associated with Its Regional Connectivity. PLoS Comput. Biol. 7(5) (2011) - [c43]Lior Wolf, Tal Hassner, Itay Maoz:
Face recognition in unconstrained videos with matched background similarity. CVPR 2011: 529-534 - [c42]Roni Shweka, Yaacov Choueka, Lior Wolf, Nachum Dershowitz, Masha Zeldin:
Automatic Extraction of Catalog Data from Genizah Fragments' Images. DH 2011: 224-225 - [c41]Lior Wolf, Lior Litwak, Nachum Dershowitz, Roni Shweka, Yaacov Choueka:
Active clustering of document fragments using information derived from both images and catalogs. ICCV 2011: 1661-1667 - [c40]Lior Wolf, Liza Potikha, Nachum Dershowitz, Roni Shweka, Yaacov Choueka:
Computerized paleography: Tools for historical manuscripts. ICIP 2011: 3545-3548 - [c39]Orit Kliper-Gross, Tal Hassner, Lior Wolf:
One Shot Similarity Metric Learning for Action Recognition. SIMBAD 2011: 31-45 - [i1]Yaniv Taigman, Lior Wolf:
Leveraging Billions of Faces to Overcome Performance Barriers in Unconstrained Face Recognition. CoRR abs/1108.1122 (2011) - 2010
- [j11]Ligang Liu, Renjie Chen, Lior Wolf, Daniel Cohen-Or:
Optimizing Photo Composition. Comput. Graph. Forum 29(2): 469-478 (2010) - [j10]Jackie Assa, Lior Wolf, Daniel Cohen-Or:
The Virtual Director: a Correlation-Based Online Viewing of Human Motion. Comput. Graph. Forum 29(2): 595-604 (2010) - [c38]Lior Wolf, Nathan Manor:
Visual recognition using mappings that replicate margins. CVPR 2010: 810-816 - [c37]Lior Wolf, Ziv Freund, Shai Avidan:
An eye for an eye: A single camera gaze-replacement method. CVPR 2010: 817-824 - [c36]Lior Wolf, Tamir Yedidya, Roy Ganor, Michael Chertok, Ariela Nachmani, Yehuda Finkelstein:
Automatic Cephalometric Evaluation of Patients Suffering from Sleep-Disordered Breathing. MICCAI (3) 2010: 642-649 - [c35]Dmitry Kropotov, Dmitry P. Vetrov, Lior Wolf, Tal Hassner:
Variational Relevance Vector Machine for Tabular Data. ACML 2010: 79-94
2000 – 2009
- 2009
- [j9]Niloy J. Mitra, Hung-Kuo Chu, Tong-Yee Lee, Lior Wolf, Hezy Yeshurun, Daniel Cohen-Or:
Emerging images. ACM Trans. Graph. 28(5): 163 (2009) - [c34]Lior Wolf, Tal Hassner, Yaniv Taigman:
Similarity Scores Based on Background Samples. ACCV (2) 2009: 88-97 - [c33]Yaniv Taigman, Lior Wolf, Tal Hassner:
Multiple One-Shots for Utilizing Class Label Information. BMVC 2009: 1-12 - [c32]Lior Gavish, Lior Shapira, Lior Wolf, Daniel Cohen-Or:
One-sided object cutout using principal-channels. CAD/Graphics 2009: 448-451 - [c31]Moshe Guttmann, Lior Wolf, Daniel Cohen-Or:
Semi-automatic stereo extraction from video footage. ICCV 2009: 136-142 - [c30]Lahav Yeffet, Lior Wolf:
Local Trinary Patterns for human action recognition. ICCV 2009: 492-497 - [c29]Lior Wolf, Tal Hassner, Yaniv Taigman:
The One-Shot similarity kernel. ICCV 2009: 897-902 - [c28]Lior Wolf, Rotem Littman, Naama Mayer, Nachum Dershowitz, Roni Shweka, Yaacov Choueka:
Automatically identifying join candidates in the Cairo Genizah. ICCV Workshops 2009: 978-979 - [r1]Lior Wolf:
Face Recognition, Geometric vs. Appearance-Based. Encyclopedia of Biometrics 2009: 347-352 - 2008
- [j8]Ethan Meyers, Lior Wolf:
Using Biologically Inspired Features for Face Processing. Int. J. Comput. Vis. 76(1): 93-104 (2008) - [c27]Lior Wolf, Yoni Donner:
An experimental study of employing visual appearance as a phenotype. CVPR 2008 - [c26]Lior Wolf, Yoni Donner:
Local Regularization for Multiclass Classification Facing Significant Intraclass Variations. ECCV (4) 2008: 748-759 - 2007
- [j7]Jackie Assa, Lior Wolf:
Diorama Construction From a Single Image. Comput. Graph. Forum 26(3): 599-608 (2007) - [j6]Thomas Serre, Lior Wolf, Stanley M. Bileschi, Maximilian Riesenhuber, Tomaso A. Poggio:
Robust Object Recognition with Cortex-Like Mechanisms. IEEE Trans. Pattern Anal. Mach. Intell. 29(3): 411-426 (2007) - [c25]Stanley M. Bileschi, Lior Wolf:
Image representations beyond histograms of gradients: The role of Gestalt descriptors. CVPR 2007 - [c24]Lior Wolf, Moshe Guttmann:
Artificial Complex Cells via the Tropical Semiring. CVPR 2007 - [c23]Lior Wolf, Hueihan Jhuang, Tamir Hazan:
Modeling Appearances with Low-Rank SVM. CVPR 2007 - [c22]Hueihan Jhuang, Thomas Serre, Lior Wolf, Tomaso A. Poggio:
A Biologically Inspired System for Action Recognition. ICCV 2007: 1-8 - [c21]Lior Wolf, Moshe Guttmann, Daniel Cohen-Or:
Non-homogeneous Content-driven Video-retargeting. ICCV 2007: 1-6 - 2006
- [j5]Lior Wolf, Assaf Zomet:
Wide Baseline Matching between Unsynchronized Video Sequences. Int. J. Comput. Vis. 68(1): 43-52 (2006) - [j4]Lior Wolf, Stanley M. Bileschi:
A Critical View of Context. Int. J. Comput. Vis. 69(2): 251-261 (2006) - [c20]Lior Wolf, Stanley M. Bileschi, Ethan Meyers:
Perception Strategies in Hierarchical Vision Systems. CVPR (2) 2006: 2153-2160 - [c19]Lior Wolf, Xiaolei Huang, Ian Martin, Dimitris N. Metaxas:
Patch-Based Texture Edges and Segmentation. ECCV (2) 2006: 481-493 - 2005
- [j3]Lior Wolf, Amnon Shashua:
Feature Selection for Unsupervised and Supervised Inference: The Emergence of Sparsity in a Weight-Based Approach. J. Mach. Learn. Res. 6: 1855-1887 (2005) - [c18]Stanley M. Bileschi, Lior Wolf:
A Unified System For Object Detection, Texture Recognition, and Context Analysis Based on the Standard Model Feature Set. BMVC 2005 - [c17]Lior Wolf, Amnon Shashua, Sayan Mukherjee:
Gene Selection via a Spectral Approach. CVPR Workshops 2005: 140 - [c16]Lior Wolf, Ian Martin:
Robust Boosting for Learning from Few Examples. CVPR (1) 2005: 359-364 - [c15]Lior Wolf, Stanley M. Bileschi:
Combining Variable Selection with Dimensionality Reduction. CVPR (2) 2005: 801-806 - [c14]Thomas Serre, Lior Wolf, Tomaso A. Poggio:
Object Recognition with Features Inspired by Visual Cortex. CVPR (2) 2005: 994-1000 - 2004
- [c13]Amnon Shashua, Lior Wolf:
Kernel Feature Selection with Side Data Using a Spectral Approach. ECCV (3) 2004: 39-53 - 2003
- [b1]Lior Wolf:
Dynamic structure from motion using uncalibrated cameras and unsegmented scenes (חישובי מבנה של סצנה דינאמית מתנועת מצלמה, עבור מצלמות לא ידועות וללא סגמנטציה נתונה.). Hebrew University of Jerusalem, Israel, 2003 - [j2]Lior Wolf, Amnon Shashua:
Learning over Sets using Kernel Principal Angles. J. Mach. Learn. Res. 4: 913-931 (2003) - [c12]Lior Wolf, Amnon Shashua:
Kernel Principal Angles for Classification Machines with Applications to Image Sequence Interpretation. CVPR (1) 2003: 635-642 - [c11]Lior Wolf, Amnon Shashua:
Feature Selection for Unsupervised and Supervised Inference: the Emergence of Sparsity in a Weighted-based Approach. ICCV 2003: 378-384 - 2002
- [j1]Lior Wolf, Amnon Shashua:
On Projection Matrices Pk-> P2k=3, ..., 6, and their Applications in Computer Vision. Int. J. Comput. Vis. 48(1): 53-67 (2002) - [c10]Lior Wolf, Assaf Zomet:
Sequence-to-Sequence Self Calibration. ECCV (2) 2002: 370-382 - [c9]Aya Aner-Wolf, Lior Wolf:
Video de-Abstraction or How to save money on your wedding video. WACV 2002: 264-268 - 2001
- [c8]Lior Wolf, Amnon Shashua:
Two-body Segmentation from Two Perspective Views. CVPR (1) 2001: 263-270 - [c7]Anat Levin, Lior Wolf, Amnon Shashua:
Time-varying Shape Tensors for Scenes with Multiply Moving Points. CVPR (1) 2001: 623-630 - [c6]Assaf Zomet, Lior Wolf, Amnon Shashua:
Omni-Rig: Linear Self-Recalibration of a Rig with Varying Internal and External Parameters. ICCV 2001: 135-141 - [c5]Lior Wolf, Amnon Shashua:
Affine 3-D Reconstruction from Two Projective Images of Independently Translating Planes. ICCV 2001: 238-244 - [c4]Lior Wolf, Amnon Shashua:
On Projection Matrices and their Applications in Computer Vision. ICCV 2001: 412-419 - 2000
- [c3]Amnon Shashua, Lior Wolf:
Homography Tensors: On Algebraic Entities that Represent Three Views of Static or Moving Planar Points. ECCV (1) 2000: 507-521 - [c2]Amnon Shashua, Lior Wolf:
On the Structure and Properties of the Quadrifocal Tensor. ECCV (1) 2000: 710-724 - [c1]Lior Wolf, Amnon Shashua, Yonatan Wexler:
Join Tensors: On 3D-to-3D Alignment of Dynamic Sets. ICPR 2000: 1388-1391
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-11 21:31 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
