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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
[j42]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)- [j41]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) - [j40]Amit Rozner, Barak Battash, Lior Wolf, Ofir Lindenbaum:
Domain-Generalizable Multiple-Domain Clustering. Trans. Mach. Learn. Res. 2024 (2024) - [j39]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) - [j38]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. ACM Trans. Graph. 43(6): 244:1-244:11 (2024) - [c251]Yoni Choukroun, Lior Wolf:
Deep Quantum Error Correction. AAAI 2024: 64-72 - [c250]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 - [c249]Itamar Zimerman, Lior Wolf:
Multi-Dimensional Hyena for Spatial Inductive Bias. AISTATS 2024: 973-981 - [c248]Barak Battash, Lior Wolf, Ofir Lindenbaum:
Revisiting the Noise Model of Stochastic Gradient Descent. AISTATS 2024: 4780-4788 - [c247]Nadav Benedek, Lior Wolf:
PRILoRA: Pruned and Rank-Increasing Low-Rank Adaptation. EACL (Findings) 2024: 252-263 - [c246]Yoav Shalev, Lior Wolf:
Fine-Tuning CLIP via Explainability Map Propagation for Boosting Image and Video Retrieval. ECIR (1) 2024: 356-370 - [c245]Gony Rosenman, Talma Hendler, Lior Wolf:
LLM Questionnaire Completion for Automatic Psychiatric Assessment. EMNLP (Findings) 2024: 403-415 - [c244]Shahar Katz, Yonatan Belinkov, Mor Geva, Lior Wolf:
Backward Lens: Projecting Language Model Gradients into the Vocabulary Space. EMNLP 2024: 2390-2422 - [c243]Amit Rozner, Barak Battash, Lior Wolf, Ofir Lindenbaum:
Knowledge Editing in Language Models via Adapted Direct Preference Optimization. EMNLP (Findings) 2024: 4761-4774 - [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 - [i198]Nadav Benedek, Lior Wolf:
PRILoRA: Pruned and Rank-Increasing Low-Rank Adaptation. CoRR abs/2401.11316 (2024) - [i197]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) - [i196]Tamir David Hay, Lior Wolf:
Dynamic Layer Tying for Parameter-Efficient Transformers. CoRR abs/2401.12819 (2024) - [i195]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) - [i194]Shahar Katz, Yonatan Belinkov, Mor Geva, Lior Wolf:
Backward Lens: Projecting Language Model Gradients into the Vocabulary Space. CoRR abs/2402.12865 (2024) - [i193]Ameen Ali, Itamar Zimerman, Lior Wolf:
The Hidden Attention of Mamba Models. CoRR abs/2403.01590 (2024) - [i192]Barak Battash, Amit Rozner, Lior Wolf, Ofir Lindenbaum:
Obtaining Favorable Layouts for Multiple Object Generation. CoRR abs/2405.00791 (2024) - [i191]Yoni Choukroun, Lior Wolf:
Learning Linear Block Error Correction Codes. CoRR abs/2405.04050 (2024) - [i190]Itamar Zimerman, Ameen Ali, Lior Wolf:
A Unified Implicit Attention Formulation for Gated-Linear Recurrent Sequence Models. CoRR abs/2405.16504 (2024) - [i189]Gony Rosenman, Lior Wolf, Talma Hendler:
LLM Questionnaire Completion for Automatic Psychiatric Assessment. CoRR abs/2406.06636 (2024) - [i188]Amit Rozner, Barak Battash, Lior Wolf, Ofir Lindenbaum:
Knowledge Editing in Language Models via Adapted Direct Preference Optimization. CoRR abs/2406.09920 (2024) - [i187]Yoni Choukroun, Lior Wolf:
Factor Graph Optimization of Error-Correcting Codes for Belief Propagation Decoding. CoRR abs/2406.12900 (2024) - [i186]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) - [i185]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) - [i184]Oz Zafar, Lior Wolf, Idan Schwartz:
Iterative Object Count Optimization for Text-to-image Diffusion Models. CoRR abs/2408.11721 (2024) - [i183]Ameen Ali, Lior Wolf, Ivan Titov:
Mitigating Copy Bias in In-Context Learning through Neuron Pruning. CoRR abs/2410.01288 (2024) - [i182]Matan Levy, Yoni Choukroun, Lior Wolf:
Accelerating Error Correction Code Transformers. CoRR abs/2410.05911 (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. 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. 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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