!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
Lior Wolf
Prof. Lior Wolf
I am a faculty member at the School of Computer Science at Tel Aviv University. Before, I was a
postdoc working with Prof.
Poggio at CBCL,
MIT. I received my PhD working with Prof. Shashua at the
Hebrew U, Jerusalem
Address: Schreiber Building, room 212,
Tel Aviv University, P.O.B. 39040,
Ramat Aviv, Tel Aviv 69978
Lab: The lab located at the ICRC building. We share the building with "the friends of TAU", see their location in this google map
email:
phone: +972-3-640-6700
fax: +972-3-640-9357 |
 |
Publications:
S. Katz, L. Wolf. Reversed Attention: On The Gradient Descent Of Attention Layers In GPT. The Annual Conference of the Nations of the Americas Chapter of the ACL (NAACL), 2025. 
I. Zimerman, A. Ali, L. Wolf. Explaining Modern Gated-Linear RNNs via a Unified Implicit Attention Formulation. International Conference on Learning Representations (ICLR), 2025.
Y. Tewel, R. Gal, D. Samuel, Y. Atzmon, L. Wolf, G. Chechik. Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models. International Conference on Learning Representations (ICLR), 2025.
A. Ben-Kish, I. Zimerman, S. Abu-Hussein, N. Cohen, A. Globerson, L. Wolf, R. Girys. DeciMamba: Exploring the Length Extrapolation Potential of Mamba. International Conference on Learning Representations (ICLR), 2025.
A. Shaulov, T. Shaharabany, E. Shaar, G. Chechik, L. Wolf. Classifier-Guided Captioning Across Modalities. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025.
T. Amit, T. Markovits, G. Gurevitch, T. Hendler, L. Wolf. Predicting local fMRI activations from EEG: a Feasibility Study Using Both Classical and Modern Machine Learning Pipeline. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025.
H. Chefer, S. Zada, R. Paiss, A. Ephrat, O. Tov, M. Rubinstein, L. Wolf, T. Dekel, T. Michaeli, I. Mosseri. Still-Moving: Customized Video Generation without Customized Video Data. ACM SIGGRAPH Asia , 2024.
S. Katz, Y. Belinkov, M. Geva, L. Wolf. Backward Lens: Projecting Language Model Gradients into the Vocabulary Space. Empirical Methods in Natural Language Processing (EMNLP), 2024. Best paper award.
A. Rozner, B. Battash, L. Wolf, O. Lindenbaum. Knowledge Editing in Language Models via Adapted Direct Preference Optimization. Findings of Empirical Methods in Natural Language Processing (EMNLP findings), 2024.
G. Rosenman, T. Hendler, L. Wolf. LLM Questionnaire Completion for Automatic Psychiatric Assessment. Findings of Empirical Methods in Natural Language Processing (EMNLP findings), 2024.
Y. Choukroun, L. Wolf. Learning Linear Block Error Correction Codes. International Conference on Machine Learning (ICML), 2024.
I. Zimerman, L. Wolf. Viewing Transformers Through the Lens of Long Convolutions Layers. International Conference on Machine Learning (ICML), 2024.
I. Zimerman, M. Baruch, N. Drucker, G. Ezov, O. Soceanu, L. Wolf. Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption. International Conference on Machine Learning (ICML), 2024.
A. Rozner, B. Battash, L. Wolf, O. Lindenbaum. Anomaly Detection with Variance Stabilized Density Estimation. Uncertainty in Artificial Intelligence (UAI), 2024.
I. Zimerman, L. Wolf. Multi-Dimensional Hyena for Spatial Inductive Bias. International Conference on Artificial Intelligence and Statistics (AISTATS), 2024.
B. Battash, L. Wolf, O. Lindenbaum. Revisiting the noise Model of SGD. International Conference on Artificial Intelligence and Statistics (AISTATS), 2024.
Y. Tewel, O. Kaduri, R. Gal, Y. Kasten, L. Wolf, G. Chechik, Y. Atzmon Training-Free Consistent Text-to-Image Generation. ACM SIGGRAPH, 2024.
Y. Choukroun, L. Wolf. A Foundation Model for Error Correction Codes. International Conference on Learning Representations (ICLR), 2024.
S. Lutati, E. Nachmani, L. Wolf. Separate and Diffuse: Using a Pretrained Diffusion Model for Better Source Separation. International Conference on Learning Representations (ICLR), 2024.
E. Baron, I. Zimerman, L. Wolf. A 2-Dimensional State Space Layer for Spatial Inductive Bias. International Conference on Learning Representations (ICLR), 2024.
H. Chefer, O. Lang, M. Geva, V. Polosukhin, A. Shocher, M. Irani, I Mosseri, L. Wolf. The Hidden Language of Diffusion Models. International Conference on Learning Representations (ICLR), 2024.
T. D. Hay, L. Wolf. Dynamic Layer Tying for Parameter-Efficient Transformers. International Conference on Learning Representations (ICLR), 2024.
T. Shaharabany, L. Wolf. Zero-Shot Medical Image Segmentation Based on Sparse Prompt Using Finetuned SAM. Medical Imaging with Deep Learning (MIDL), 2024.
A. Dahan, T. Shaharabany, R. Girys, L. Wolf. Video Polyp Segmentation using Implicit Networks. Medical Imaging with Deep Learning (MIDL), 2024.
A. Rozner, B. Battash, L. Wolf, O. Lindenbaum. Domain-Generalizable Multiple-Domain Clustering. Transactions on Machine Learning Research (TMLR), 2024.
Y. Choukroun, L. Wolf. Deep Quantum Error Correction. AAAI Conference on Artificial Intelligence (AAAI), 2024.
G. Yariv, I. Gat, S. Benaim, L. Wolf, I. Schwartz, Y. Adi. Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation. AAAI Conference on Artificial Intelligence (AAAI), 2024.
N. Benedek, L. Wolf. PRILoRA: Pruned and Rank-Increasing Low-Rank Adaptation. Findings of the ACL: EACL, 2024.
B. Battash, A. Rozner, O. Lindenbaum, L. Wolf. Efficient Verification-Based Face Identification. IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2024.
Y. Ger, E. Nachmani, L. Wolf, N. Shahar. Harnessing the flexibility of neural networks to predict dynamic theoretical parameters underlying human choice behavior. PLOS Computational Biology. 2024.
S. Lutati, I. Zimerman, L. Wolf. Focus Your Attention (with Adaptive IIR Filters). Empirical Methods in Natural Language Processing (EMNLP), 2023.
E. Gomel, T. Shaharabany, L. Wolf. Box-based Refinement for Weakly Supervised and Unsupervised Localization Tasks. IEEE International Conference on Computer Vision (ICCV), 2023.
I. Schwartz, V. Snaebjarnarson, S. Benaim, H. Chefer, R. Cotterell, L. Wolf, S. Belongie. Discriminative Class Tokens for Text-to-Image Diffusion Models. IEEE International Conference on Computer Vision (ICCV), 2023.
T. Shaharabany, A. Dahan, R. Giryes, L. Wolf. AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder. The British Machine Vision Conference (BMVC) , 2023.
Y. Tewel, Y. Shalev, R. Nadler, I. Schwartz, L. Wolf. Zero-Shot Video Captioning by Evolving Pseudo-tokens. The British Machine Vision Conference (BMVC) , 2023.
Y. Choukroun, L. Golgher, P. Binder, L. Wolf. Reconstructing the Hemodynamic Response Function with Bimodal Transformer. International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2023.
T. Amit, S. Shichrur, T. Shaharabany, L. Wolf. Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models. International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2023.
M. Rotman, A. Dekel, R. Ber, L. Wolf, Y. Oz. Semi-supervised Learning of Partial Differential Operators and Dynamical Flows. Uncertainty in Artificial Intelligence (UAI), 2023.
S. Lutati, L. Wolf. OCD: Learning to Overfit with Conditional Diffusion Models. International Conference on Machine Learning (ICML), 2023.
H. Chefer, Y. Alaluf, L. Wolf, D. Cohen-Or Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models. ACM SIGGRAPH, 2023.
G. Yariv, I. Gat, L. Wolf, Y. Adi, I. Schwartz. Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image Generation. Annual Conference of the International Speech Communication Association (INTERSPEECH), 2023.
T. Shaharabany, L. Wolf. Similarity Maps for Self-Training Weakly-Supervised Phrase Grounding. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2023.
G. Rosenman, I. Malkiel, A. Greental, T. Hendler, L. Wolf
Pre-Training Transformers for Fingerprinting to Improve Stress Prediction in fMRI. Medical Imaging with Deep Learning (MIDL), 2023.
T. Shaharabany, L. Wolf. Learning a Weight Map for Weakly-Supervised Localization. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023.
M. Rotman, L. Wolf. Energy Regularized RNNs for Solving Non-Stationary Bandit Problems. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023.
E. Sheffi, M. Rotman, L. Wolf Gradient Adjusting Networks for Domain Inversion. Scandinavian Conference on Image Analysis (SCIA), 2023. Best paper award.
T. Friedlander, L. Wolf. Dynamically-Scaled Deep Canonical Correlation Analysis. The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2023.
Y. Choukroun, L. Wolf. Denoising Diffusion Error Correction Codes. International Conference on Learning Representations (ICLR), 2023.
S. Bar-David, I. Zimerman, E. Nachmani, L. Wolf. Decision S4: Efficient Sequence-Based RL via State Spaces Layers. International Conference on Learning Representations (ICLR), 2023.
T. Friedlander, R. Shmelkin, L. Wolf. Generating 2D and 3D Master Faces for Dictionary Attacks with a Network-Assisted Latent Space Evolution. IEEE Transactions on Biometrics, Behavior, and Identity Science (TBIOM), 2023.
O. Hupert, I. Schwartz, L. Wolf. Describing Sets of Images with Textual-PCA. Findings of Empirical Methods in Natural Language Processing (EMNLP findings), 2022.
Y. Choukroun, L. Wolf. Error Correction Code Transformer. Neural Information Processing Systems (NeurIPS), 2022.
T. Shaharabany, Y. Tewel, L. Wolf. What is Where by Looking: Weakly-Supervised Open-World Phrase-Grounding without Text Inputs. Neural Information Processing Systems (NeurIPS), 2022.
H. Chefer, I. Schwartz, L. Wolf. Optimizing Relevance Maps of Vision Transformers Improves Robustness. Neural Information Processing Systems (NeurIPS), 2022.
R. Paiss, H. Chefer, L. Wolf. No Token Left Behind: Explainability-Aided Image-Text Matching for Image Classification and Generation. European Conference on Computer Vision (ECCV), 2022. Preliminary arXiv version
H. Chefer, S. Benaim, R. Paiss, L. Wolf. Image-based CLIP-Guided Essence Transfer. European Conference on Computer Vision (ECCV), 2022. Preliminary arXiv version
R. Bensadoun, S. Gur, N. Blau, T. Shenkar , L. Wolf. Neural Inverse Kinematic. International Conference on Machine Learning (ICML), 2022.
A. Ali, T. Schnake, O. Eberle, G. Montavon, K-R. Muller, L. Wolf. XAI for Transformers: Better Explanations through Conservative Propagation. International Conference on Machine Learning (ICML), 2022.
L. Ben-Mosh, S. Benaim, L. Wolf FewGAN: Generating from the Joint Distribution of a Few Images. IEEE International Conference on Image Processing (ICIP), 2022.
S. Lutati, E. Nachmani, L. Wolf. SepIt: Approaching a Single Channel Speech Separation Bound. Annual Conference of the International Speech Communication Association (INTERSPEECH), 2022.
A. Levkovitch, E. Nachmani, L. Wolf. Zero-Shot Voice Conditioning for Denoising Diffusion TTS Models. Annual Conference of the International Speech Communication Association (INTERSPEECH), 2022.
R. Cohen Zedek, J. Osin, L. Wolf, G. Gurevitch, T. Hendler. fMRI Neurofeedback Learning Patterns are Predictive of Personal and Clinical Traits. International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2022.
T. Shaharabany, L. Wolf. End-to-End Segmentation of Medical Images via Patch-wise Polygons Prediction. International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2022. A preliminary and partial version
Y. Choukroun, L. Wolf. Geometric Transformer for End-to-End Molecule Properties Prediction. International Joint Conference on Artificial Intelligence (IJCAI), 2022.
Y. Tewel, Y. Shalev, I. Schwartz, L. Wolf. Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetics. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2022.
Y. Shalev, L. Wolf. Image Animation with Perturbed Masks. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2022.
Y. Benny, L. Wolf. Dynamic Dual-Output Diffusion Models. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2022.
A. Ali, T. Shaharabany, L. Wolf. Explainability Guided Image Classification. Medical Imaging with Deep Learning (MIDL), 2022.
I. Malkiel, G. Rosenman, L. Wolf, T. Hendler Self-Supervised Transformers for fMRI representation. Medical Imaging with Deep Learning (MIDL), 2022.
T. Shenkar, L. Wolf. Anomaly Detection for Tabular Data with Internal Contrastive Learning. International Conference on Learning Representations (ICLR), 2022.
M. Rotman, A. Dekel, S. Gur, Y. Oz, L. Wolf. Unsupervised Disentanglement with Tensor Product Representations on the Torus. International Conference on Learning Representations (ICLR), 2022.
A. Ali, T. Galanti, E. Zheltonozhskii, C. Baskin, L. Wolf. Weakly Supervised Discovery of Semantic Attributes. Causal Learning and Reasoning (CLeaR), 2022.
R. Bensadoun, S. Gur, T. Galanti, L. Wolf. Meta Internal Learning. Neural Information Processing Systems (NeurIPS), 2021.
B. Klein, L. Wolf Learning Query Expansion over the Nearest Neighbor Graph. The British Machine Vision Conference (BMVC) , 2021.
I. Malkiel, L. Wolf. MTAdam: Automatic Balancing of Multiple Training Loss Terms. Empirical Methods in Natural Language Processing (EMNLP), 2021. Preliminary arXiv version
E. Blaier, I. Malkiel, L. Wolf. Caption Enriched Samples for Improving Hateful Memes Detection. Empirical Methods in Natural Language Processing (EMNLP), 2021.
H. Chefer, S. Gur, L. Wolf. Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers. IEEE International Conference on Computer Vision (ICCV), 2021.
S. Sheynin, S. Benaim, L. Wolf. A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection. IEEE International Conference on Computer Vision (ICCV), 2021.
R. Shmelkin, T. Friedlander, L. Wolf. Generating Master Faces for Dictionary Attacks with a Network Assisted Latent Space Evolution. IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2021. Best paper award.
Y. Nirkin, L. Wolf, Y. Keller, T. Hassner. DeepFake Detection Based on Discrepancies Between Faces and their Context. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2021.
T. Galanti, S. Benaim, L. Wolf. Risk Bounds for Unsupervised Cross-Domain Mapping with IPMs. Journal of Machine Learning Research (JMLR), 2021.
S. Sheynin, L. Wolf, Z. Ben-Zion, J. Sheynine, S. Reznik. J. Nimrod Keynan, R. Admon, A. Shalev, T. Hendler, I. lLiberzon. Deep Learning Model of fMRI Connectivity Predicts PTSD Symptom Trajectories in Recent Trauma Survivors. NeuroImage, 2021.
E. Littwin, T. Galanti, L. Wolf. On Random Kernels of Residual Architectures. Uncertainty in Artificial Intelligence (UAI), 2021.
S. Dovrat, E. Nachmani, L. Wolf. Many-Speakers Single Channel Speech Separation with Optimal Permutation Training. Annual Conference of the International Speech Communication Association (INTERSPEECH), 2021.
I. Zimerman, E. Nachmani , L. Wolf. Recovering AES Keys with a Deep Cold Boot Attack. International Conference on Machine Learning (ICML), 2021.
S. Lutati, L. Wolf. HyperHyperNetwork for the Design of Antenna Arrays. International Conference on Machine Learning (ICML), 2021.
O. Gafni, O. Ashual, L. Wolf. Single-Shot Freestyle Dance Reenactment. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2021.
O. Nuriel, S. Benaim, L. Wolf. Permuted AdaIN: Reducing the Bias towards Global Statistics in Image Classification. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2021. Prelinimary arXiv version
Y. Nirkin, L. Wolf, T. Hassner. HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2021.
H. Chefer, S. Gur, L. Wolf. Transformer Interpretability Beyond Attention Visualization. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2021.
Y. Benny, N. Pekar, L. Wolf. Scale-Localized Abstract Reasoning. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2021.
M. Rotman, L. Wolf Natural Statistics of Network Activations and Implications for Knowledge Distillation. IEEE International Conference on Image Processing (ICIP), 2021.
M. Ivgi, Y. Benny, A. Ben-David, J. Berant, L. Wolf. Scene Graph to Image Generation with Contextualized Object Layout Refinement. IEEE International Conference on Image Processing (ICIP), 2021. Preliminary arXiv version
N. Gat, S. Benaim, L. Wolf. Identity and Attribute Preserving Thumbnail Upscaling. IEEE International Conference on Image Processing (ICIP), 2021.
I. Malkiel, S. Ahn, V. Taviani, A. Menini, L. Wolf, C. J. Hardy. Conditional WGANs with Adaptive Gradient Balancing for Sparse MRI Reconstruction. International Conference on Computational Photography (ICCP), 2021. Preliminary arXiv version
A. Polyak, L. Wolf, Y.i Adi, O. Kabeli, Y. Taigman. High Fidelity Speech Regeneration with Application to Speech Enhancement. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021.
S. Chzan, L. Wolf, E. Nachmani, Y. Adi. Single Channel Voice Separation for Unknown Number of Speakers Under Reverberant and Noisy Settings. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021.
E. Ovits, L. Wolf. Fidelity-based Deep Adiabatic Scheduling. International Conference on Learning Representations (ICLR), 2021.
F. Anichini, N. Dershowitz, N. Dubbini, G. Gattiglia, B. Itkin, L. Wolf The automatic recognition of ceramics from only one photo: The ArchAIDE app. Journal of Archaeological Science: Reports, 2021.
Y. Benny, T. Galanti, S. Benaim, L. Wolf Evaluation Metrics for Conditional Image Generation. International Journal of Computer Vision (IJCV), 2021. Preliminary arXiv version
I. Malkiel, L. Wolf. Maximal Multiverse Learning for Promoting Cross-Task Generalization of Fine-Tuned Language Models. Conference of the European Chapter of the Association for Computational Linguistics (EACL) , 2021. Preliminary arXiv version
S. Gur, A. Ali, Lior Wolf. Visualization of Supervised and Self-Supervised Neural Networks via Attribution Guided Factorization. AAAI Conference on Artificial Intelligence (AAAI), 2021.
B. Itkin, L. Wolf, N. Dershowitz. Computational visual ceramicology: Matching image outlines to catalog sketches. AAAI Conference on Artificial Intelligence (AAAI), 2021. Preliminary arXiv version
M. Rotman, Lior Wolf. Shuffling Recurrent Neural Networks. AAAI Conference on Artificial Intelligence (AAAI), 2021. Preliminary arXiv version
O. Lifshitz, Lior Wolf. A Sample Selection Approach for Universal Domain Adaptation. AAAI Conference on Artificial Intelligence (AAAI), 2021. Preliminary arXiv version
S. Benaim, R. Mokady, A. Bermano, L. Wolf. Structural-analogy from a Single Image Pair. Computer Graphics Forum, 2021. Preliminary arXiv version
N. Pekar, Y. Benny, L. Wolf. Generating Correct Answers for Progressive Matrices Intelligence Tests. Neural Information Processing Systems (NeurIPS), 2020.
S. Gur, S. Benaim, L. Wolf. Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample. Neural Information Processing Systems (NeurIPS), 2020.
T. Galanti, L. Wolf. On the Modularity of Hypernetworks. Neural Information Processing Systems (NeurIPS), 2020.
E. Littwin, T. Galanti, L. Wolf, G. Yang. On Infinite-Width Hypernetworks. Neural Information Processing Systems (NeurIPS), 2020.
A. Polyak, L. Wolf, Y. Adi, Y. Taigman. Unsupervised Cross-Domain Singing Voice Conversion. Annual Conference of the International Speech Communication Association (INTERSPEECH), 2020.
A. Polyak, L. Wolf, Y. Taigman. TTS Skins: Speaker Conversion via ASR. Annual Conference of the International Speech Communication Association (INTERSPEECH), 2020.
M. Michaelshvili, L. Wolf. Learning Hierarchical Wave-Domain Harmonization. International Society for Music Information Retrieval Conference (ISMIR), 2020.
Y. Benny, L. Wolf. OneGAN: Simultaneous Unsupervised Learning of Conditional Image Generation, Foreground Segmentation, and Fine-Grained Clustering. European Conference on Computer Vision (ECCV), 2020. Preliminary arXiv version
J. Osin, L. Wolf, G. Gurevitch, T. Fruchtman-Steinbo, N. J. Keynan, A. Or-Borichev, T. Hendler. Learning Personal Representations from fMRI by Predicting Neurofeedback Performance. International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2020.
E. Nachmani, Y. Adi, L. Wolf. Voice Separation with an Unknown Number of Multiple Speakers. International Conference on Machine Learning (ICML), 2020.
O. Gafni, L. Wolf. Wish You Were Here: Context-Aware Human Generation. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2020.
A. Bar-Haim, L. Wolf. ScopeFlow: Dynamic Scene Scoping for Optical Flow. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2020.
N. Frank, L. Wolf, D. Olshansky, A. Boonman, Y. Yovel. Comparing vision-based to sonar-based 3D reconstruction. International Conference on Computational Photography (ICCP), 2020.
E. Nachmani, L. Wolf. A Gated Hypernet Decoder for Polar Codes. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020.
M. Rotman, L. Wolf. Electric Analog Circuit Design with Hypernetworks and a Differential Simulator. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020.
S. Gur, T. Shaharabany, L. Wolf. End to End Trainable Active Contours via Differentiable Rendering. International Conference on Learning Representations (ICLR), 2020.
R. Mokady, S. Benaim, L. Wolf, A. Bermano. Masked Based Unsupervised Content Transfer. International Conference on Learning Representations (ICLR), 2020.
O. Gafni, L. Wolf, Y. Taigman. Vid2Game: Controllable Characters Extracted from Real-World Videos. International Conference on Learning Representations (ICLR), 2020.
E. Shulman, L. Wolf. Meta Decision Trees for Explainable Recommendation Systems. Artificial Intelligence, Ethics, and Society (AIES), 2020.
W-J. Nam, S. Gur, J. Choi, L. Wolf, S-W. Lee. Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks. AAAI Conference on Artificial Intelligence (AAAI), 2020.
S. Gur, L. Wolf, L. Golgher, P. Blinder. Microvascular Dynamics from 4D Microscopy Using Temporal Segmentation. Pacific Symposium on Biocomputing (PSB), 2020.
Y. Shalev, L. Wolf. End to End Lip Synchronization with a Temporal AutoEncoder. WACV, 2020. SI:
Y. Chai, R. Giryes, L. Wolf. Supervised and Unsupervised Learning of Parameterized Color Enhancement. WACV, 2020. SI:
E. Nachmani, L. Wolf. Hyper-Graph-Network Decoders for Block Codes. Neural Information Processing Systems (NeurIPS), 2019.
G. Littwin, L. Wolf. Deep Meta Functionals for Shape Representation. IEEE International Conference on Computer Vision (ICCV), 2019.
O. Ashual, L. Wolf. Specifying Object Attributes and Relations in Interactive Scene Generation. IEEE International Conference on Computer Vision (ICCV), 2019.Best paper honorable mention.
S. Gur, L. Wolf, L. Golgher, P. Blinder. Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural Network. IEEE International Conference on Computer Vision (ICCV), 2019.
O. Gafni, L. Wolf, Y. Taigman. Live Face De-Identification in Video. IEEE International Conference on Computer Vision (ICCV), 2019.
T. Cohen, L. Wolf. Bidirectional One-Shot Unsupervised Domain Mapping. IEEE International Conference on Computer Vision (ICCV), 2019.
S. Benaim, M. Khaitov, T. Galanti, L. Wolf. Domain Intersection and Domain Difference. IEEE International Conference on Computer Vision (ICCV), 2019.
E. Nachmani, L. Wolf. Unsupervised Singing Voice Conversion. Annual Conference of the International Speech Communication Association (INTERSPEECH), 2019.
S. Keret, L. Wolf, N. Dershowitz, E. Werner, O. Almogi, D. Wangchuck. Transductive Learning for Reading Handwritten Tibetan Manuscripts. International Conference on Document Analysis and Recognition (ICDAR), 2019.
S. Gur, L. Wolf. Single Image Depth Estimation Trained via Depth from Defocus Cues. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2019.
B. Klein, L. Wolf. End-to-End Supervised Product Quantization for Image Search and Retrieval. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2019. Preliminary preprint arXiv:1711.08589.
E. Littwin, L. Wolf. On the Convex Behavior of Deep Neural Networks in Relation to the Layers' Width. ICML 2019 Workshop Deep Phenomena , 2019.
A. Polyak, L. Wolf. Attention-Based WaveNet Autoencoder. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019.
M. Michaelshvili, S. Benaim, L. Wolf. Semi-supervised Monaural Singing Voice Separation with a Masking Network Trained on Synthetic Mixtures. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019.
E. Nachmani, L. Wolf. Unsupervised Polyglot Text-to-Speech. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019.
L. Wolf, S. Benaim, T. Galanti. Unsupervised Learning of the Set of Local Maxima. International Conference on Learning Representations (ICLR), 2019.
O. Press, T. Galanti, S. Benaim, L. Wolf. Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer. International Conference on Learning Representations (ICLR), 2019.
N. Mor, L. Wolf, A. Polyak, Y. Taigman. A Universal Music Translation Network. International Conference on Learning Representations (ICLR), 2019. Demo video: 
L. Wolf, T. Galanti, T. Hazan. A Formal Approach to Explainability. Artificial Intelligence, Ethics, and Society (AIES), 2019.
S. Benaim, L. Wolf. One-Shot Unsupervised Cross Domain Translation. Neural Information Processing Systems (NeurIPS), 2018.
E. Littwin, L. Wolf. Regularizing by the Variance of the Activations' Sample-Variances. Neural Information Processing Systems (NeurIPS), 2018.
A. Zohar, L. Wolf. Automatic Program Synthesis of Long Programs with a Learned Garbage Collector. Neural Information Processing Systems (NeurIPS), 2018.
Y. Hoshen, L. Wolf. Non-Adversarial Unsupervised Word Translation. Empirical Methods in Natural Language Processing (EMNLP), 2018. Preliminary arXiv version
Y. Hoshen, L. Wolf. Separable Cross-Domain Translation. European Conference on Computer Vision (ECCV), 2018. Preliminary arXiv version
S. Benaim, T. Galanti, L. Wolf. Estimating the Success of Unsupervised Image to Image Translation. European Conference on Computer Vision (ECCV), 2018. Preliminary arXiv version
I. Malkiel, M. Mrejen, A. Nagler, U. Arieli, L. Wolf, H. Suchowski. Plasmonics nano-structures design and characterization via Deep Learning. Light: Science & Applications , 2018.
A. Polyak, L. Wolf, Y. Taigman Unsupervised Generation of Free-Form and Parameterized Avatars. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2018.
E. Nachmani, A. Polyak, Y. Taigman, L. Wolf. Fitting New Speakers Based on a Short Untranscribed Sample. International Conference on Machine Learning (ICML), 2018.
I. Malkiel, A. Nagler, M. Mrejen, U. Arieli, L. Wolf, H. Suchowski. Deep Learning for the Design of Nano-photonic Structures. International Conference on Computational Photography (ICCP), 2018. Preliminary arXiv version
N. Hadad, L. Wolf, M. Shahar. A Two-Step Disentanglement Method. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2018.Preliminary arXiv version
Y. Hoshen, L. Wolf. Unsupervised CCA. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2018.
G. Alxer, L. Wolf Toward a Dataset-Agnostic Word Segmentation Method.
IEEE International Conference on Image Processing (ICIP), 2018.
Y. Taigman, L. Wolf, A. Polyak, E. Nachmani. VoiceLoop: Voice Fitting and Synthesis via a Phonological Loop. International Conference on Learning Representations (ICLR), 2018.
Y. Hoshen, L. Wolf. Identifying Analogies Across Domains. International Conference on Learning Representations (ICLR), 2018.
T. Galanti, L. Wolf, S. Benaim. The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings. International Conference on Learning Representations (ICLR), 2018.
I. Peleg, L. Wolf. Structured GANs. WACV, 2018. SI:
N. Mor, L. Wolf. Confidence Prediction for Lexicon-Free OCR. WACV, 2018.
G. Levi, P. Nisnevich, A. Ben-Shalom, N. Dershowitz, L. Wolf. A Method for Segmentation, Matching and Alignment of Dead Sea Scrolls. WACV, 2018.
S. Benaim, L. Wolf. One-Sided Unsupervised Domain Mapping. Neural Information Processing Systems (NIPS), 2017.
L. Wolf, Y. Taigman, A. Polyak. Unsupervised Creation of Parameterized Avatars. IEEE International Conference on
Computer Vision (ICCV), 2017.
D. Kaufman, G. Levi, T. Hassner, L. Wolf. Temporal Tessellation: A Unified Approach for Video Analysis.
IEEE International Conference on Computer Vision (ICCV), 2017.
D. Levy, L. Wolf. Learning to Align the Source Code to the Compiled Object Code. International Conference on Machine Learning (ICML), 2017. Paper: SI:
S. Zweig, L. Wolf. InterpoNet, a Brain Inspired Neural Network for Optical Flow Dense Interpolation. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2017. Paper: SI:
A. Eisenschtat, L. Wolf. Linking Image and Text with 2-Way Nets. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2017. Paper: SI:
A. Shaked, L. Wolf. Improved Stereo Matching with Constant Highway Networks and Reflective Confidence Learning. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2017. Paper: SI:
T. Schuster, L. Wolf, D. Gadot. Optical Flow Requires Multiple Strategies (But Only One Network). IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
Y. Taigman, A. Polyak, L. Wolf. Unsupervised Cross-Domain Image Generation. International Conference on Learning Representations (ICLR), 2017.
O. Press, L. Wolf. Using the Output Embedding to Improve Language Models. European Chapter of the Association for Computational Linguistics (EACL). Short paper, 2017.
E. Littwin, L. Wolf. Complexity of Multiverse Networks and Their Multilayer Generalization. International Conference on Pattern Recognition (ICPR), 2016.
I. Ben Shalom, N. Levy, L. Wolf, N. Dershowitz, A. Ben Shalom, R. Shweka, Y. Choueka, Tamir Hazan. Active Congruency-Based Reranking. Frontiers in Digital Humanities, section Digital Paleography and Book History , 2016.
G. Lev, G. Sadeh, B. Klein, L. Wolf. RNN Fisher Vectors for Action Recognition and Image Annotation. European Conference on Computer Vision
(ECCV), 2016. arXiv:1512.03958
E. Walach, L. Wolf. Learning to Count with CNN Boosting. European Conference on Computer Vision
(ECCV), 2016.
T. Galanti, L. Wolf, T. Hazan. A Theoretical Framework for Deep Transfer Learning. Information and Inference: A Journal of the IMA (IMAIAI), 2016.
O. David, N. Netanyahu, L. Wolf. DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess. International Conference on Artificial Neural Networks (ICANN), 2016. Best paper award winner.
D. Gadot, L. Wolf. PatchBatch: a Batch Augmented Loss for Optical Flow. IEEE Conf. on Computer Vision and Pattern
Recognition (CVPR), 2016. arXiv:1512.01815
E. Littwin, L. Wolf. The Multiverse Loss for Robust Transfer Learning. IEEE Conf. on Computer Vision and Pattern
Recognition (CVPR), 2016. arXiv:1511.09033
A. Poznanski, L. Wolf. CNN-N-Gram for Handwriting Word Recognition. IEEE Conf. on Computer Vision and Pattern
Recognition (CVPR), 2016.
Y. Lubarsky, A. Wolf, L. Wolf, C. Batliner, J. Newsum. Softbot: Software-based Lead-Through for Rigid Servo Robots. ICRA, 2016. Demo video:
H. Abu-Toamih Atamni, Y. Ziner, R. Mott, L. Wolf and F. Iraqi. Glucose tolerance female-specific QTL mapped in Collaborative Cross mice. Mammalian Genome Journal, 2016.
T. Keren-Rotem, N. Levy, L. Wolf, A, Bouskila, E. Geffen. Alternative mating tactics in male chameleons (Chamaeleo chamaeleon) are evident in both long-term body color and short-term courtship pattern. PLOS ONE, 2016
T. Keren-Rotem, N. Levy, L. Wolf, A, Bouskila, E. Geffen. Male preference for sexual signalling over crypsis is associated with alternative mating tactics. Animal Behaviour, 2016.
O. Almogi, L. Dankin, N. Dershowitz, Y. Hoffman, D. Wangchuk, and L. Wolf. Stemming and Segmentation for Classical Tibetan. Proceedings of the Conference on Intelligent Text Processing and Computational Linguistics (CICLing), 2016.
T. Hassner, G. Saban, L. Wolf. Texture Instance Similarity via Dense Correspondences. WACV, 2016.
A. Polyak, L. Wolf. Channel-level Acceleration of Deep Face Representations. IEEE Access , 2015.
O. Levy, L. Wolf. Live Repetition Counting.
IEEE International Conference on
Computer Vision (ICCV), 2015.Demo video: CODE and DATA.
G. Sadeh, L. Wolf, T. Hassner, N. Dershowitz, and D. Stokl Ben-Ezra. Viral Transcription Alignment. International Conference on Document Analysis and Recognition (ICDAR), 2015.
A. Silberpfennig, L. Wolf, N. Dershowitz, S. Bhagesh, and C. Bidyut. Improving OCR for an Under-Resourced Script Using Unsupervised Word-Spotting. International Conference on Document Analysis and Recognition (ICDAR), 2015.
G. Lev, B. Klein, L. Wolf. In Defense of Word Embedding for Generic Text Representation. NLDB, 2015.
B. Klein, G. Lev, G. Sadeh, L. Wolf. Associating Neural Word Embeddings With Deep Image Representations Using Fisher Vectors. IEEE Conf. on Computer Vision and Pattern
Recognition (CVPR), 2015 . See also arXiv:1411.7399: an earlier version, slightly lower results, includes a description of the sentence synthesis method . This project won first place at the Broadcom University research competition. Code and models: 
Y. Taigman, M. Yang, M. Ranzato, L. Wolf. Web-Scale Training for Face Identification. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2015.
B. Klein, L. Wolf, Y. Afek. A Dynamic Convolution Layer for Short Range Weather Prediction. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2015.
L. Uzan, L. Wolf. I Know that Voice: Recognizing the Voice Actor Behind the Character. International Conference on Biometrics (ICB), 2015.
K. Bar, N. Dershowitz, L. Wolf, Y. Lubarsky, and Y. Choueka. Processing Judeo-Arabic Texts. The First Conference on Arabic NLP, 2015.
Y. Bar, I. Diamant, H. Greenspan, and L. Wolf. Chest Pathology Identification using Deep feature selection with Non-Medical Training. International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2015.
Y. Bar, I. Diamant, H. Greenspan, and L. Wolf. Chest Pathology Detection Using Deep Learning with Non-Medical Training. IEEE International Symposium on Biomedical Imaging (ISBI), 2015.
Y. Bar, I. Diamant, H. Greenspan, and L. Wolf. Deep learning with non-medical training used for chest pathology identification. SPIE Computer-Aided Diagnosis in Medical Imaging, 2015.
Y. Dinai, L. Wolf, Y. Assaf. Combined Neuroimaging and Gene Expression Analysis of the Genetic Basis of Brain Plasticity Indicates Across Species Homology. Human Brain Mapping. 2014.
A. Zaritsky, D. Kaplan, I. Hecht, S. Natan, L. Wolf, N.S. Gov, E. Ben-Jacob, I. Tsarfaty. Propagating Waves of Directionality and Coordination Orchestrate Collective Cell Migration. PLOS Computational Biology. 2014.
Y. Bar, N. Levy, and L. Wolf. Classification of Artistic Styles Using Binarized Features Derived from a Deep Neural Network. ECCV Workshop on Computer Vision for Art Analysis statistical learning in computer vision, 2014.
G. Freidlin, N. Levy, and L. Wolf. Gait-Based Person Identification Using Motion Interchange Patterns. ECCV Workshop on Computer Vision With Local Binary Pattern Variants, 2014.
A. Kovalchuk, L. Wolf, N. Dershowitz. A Simple and Fast Word Spotting Method. Frontiers in Handwriting Recognition (ICFHR), 2014. Winner of the competition on Handwritten Keyword Spotting (track II) in ICFHR 2014.
L. Wolf, Y. Hanani, T. Hassner. A Piggyback Representation for Action Recognition. post-CVPR workshop on Deep-Vision, 2014.
Y. Taigman, M.
Yang, M. Ranzato, L. Wolf. DeepFace: Closing
the Gap to Human-Level Performance in Face Verification. IEEE Conf. on Computer Vision and Pattern
Recognition (CVPR), 2014. Supplement:Project webpage: 
I. Ben Shalom, A.
Ben Shalom, N. Levy, L. Wolf, T. Hazan, N. Dershowitz, Y. Bar, R.
Shweka, Y. Choueka. Congruency-Based
Reranking. IEEE Conf. on
Computer Vision and Pattern
Recognition (CVPR), 2014.
B. E. Klein N.
Dershowitz L. Wolf, O. Almogi, D. Wangchuk. Finding
Inexact Quotations Within a Tibetan Buddhist Corpus. Digital Humanities (DH), 2014.
A. Ben-Shalom, Y.
Choueka, N. Dershowitz, R. Shweka, L. Wolf. Where
is my Other Half? Digital
Humanities (DH), 2014.
L. Wolf, Y. Hanani,
K. Bar, N. Dershowitz Joint word2vec
Networks for Bilingual Semantic Representations. CICLING, 2014.
N. Dershowitz and L. Wolf,From Caves to Cyberspace: AI Aids in the Study of the Dead Sea Scrolls. Xth Congress of the European Association of Jewish Studies, 2014.
Y. Finkelstein, L.
Wolf, A. Nachmani, U. Lipowezky, M. Rub, S. Shemer, G. Berger.
Velopharyngeal Anatomy in Obstructive Sleep Apnea
Patients Versus Normals. Journal
of Oral and Maxillofacial Surgery, 2014.
T. Hassner, L.
Asraf, and L. Wolf. When Standard RANSAC is
Not Enough: Cross-Media Visual Matching with Hypothesis Relevancy.
Machine Vision and Applications
(MVAP), 2014.
A. Zaritsky, N.
Manor, L. Wolf, E. Ben-Jacob and I. Tsarfaty. Benchmark for multi-cellular segmentation of bright field
microscopy images. BMC
Bioinformatics, 2013.
O. Barkan, Y.
Weill, L. Wolf, and H. Aronowitz.
Fast high dimensional vector multiplication based face recognition.
IEEE International Conference on
Computer
Vision (ICCV), 2013.
T. Hassner, L.
Wolf, and N. Dershowitz. OCR-Free
Transcript Alignment
International Conference on Document Analysis and Recognition (ICDAR),
2013..Project webpage:
Y. Zarai, T. Lavee,
N. Dershowitz, and L. Wolf. Integrating
Copies Obtained from Old and New Preservation Efforts International Conference on Document
Analysis and Recognition (ICDAR), 2013.
L. Wolf and N.
Levy. The SVM-minus Similarity Score for
Video Face Recognition
IEEE Conf. on Computer Vision and Pattern
Recognition (CVPR), 2013.
Y. Hanani, N. Levy,
and Lior Wolf.
Evaluating new variants of Motion Interchange
Patterns. Pre
CVPR workshop on action similarity in unconstrained video, 2013.Best paper and best performance award winner.
T. Hassner, M.
Rehbein, P. A. Stokes, L. Wolf.
Computation and Palaeography: Potentials and Limits. Dagstuhl Manifestos, 2013.
L. Wolf, N.
Dershowitz. Automatic Scribal Analysis of
Tibetan Writings (Abstract). Seminar of the International Association
of Tibetan Studies (IATS), 2013.
N. Levy, L. Wolf,
P. Stokes. Document classification based
on what is there and what
should be there.
Digital Humanities (DH), 2013.
Roni Shweka; Yaacov
Choueka; Lior Wolf; Nachum Dershowitz.
Automatic extraction of catalog data from digital images of historical
manuscripts. Literary
and Linguistic Computing, 2013.
L. Jerby, L. Wolf,
C. Denkert, G. Y. Stein, M. Hilvo, M. Oresic, T. Geiger, and E. Ruppin.
Metabolic associations of reduced
proliferation and oxidative stress in advanced breast cancer.
Cancer Research, 2012.
N. Levy, L. Wolf.
Minimal Correlation Classification. European Conference on Computer Vision
(ECCV), 2012.
O. Kliper, Y.
Gurovich, T. Hassner, L. Wolf. Motion
Interchange Patterns for Action Recognition in Unconstrained Videos.
European Conference on Computer
Vision (ECCV), 2012.. Project webpage:
N. Levy, L. Wolf,
N. Dershowitz, P. Stokes. Estimating the
Distinctiveness of Graphemes and Allographs in Palaeographic
Classification.
Digital Humanities (DH), 2012.
Idan Blank, Lior
Wolf, and Galit Yovel. Tolerance is
tolerance of similarities: behavioral and computational evidence for a
view-tolerant identity representation in face-space (abstract).
VSS , 2012.
S. Stempler, Y.
Waldman, L. Wolf, E. Ruppin. Hippocampus
neuronal metabolic gene expression outperforms whole tissue data in
accurately predicting Alzheimer's disease progression. Neurobiology of Aging , 2012.
T. Hassner, L.
Wolf, A. Lerner, and Y. Leitner. Viewing
the Viewers: how Adults With Attentional Deficits Watch Educational
Videos. Journal of
Attention Disorders (JAD), 2012.
A. Zaritsky, S.
Natan, J. Horev, I. Hecht, L. Wolf, E. Ben-Jacob, I. Tsarfaty Cell Motility Dynamics: A Novel Segmentation Algorithm to
Quantify Multi-Cellular Bright Field Microscopy Images. PLOS One, 2011.
G. Wainreb, L.
Wolf, H. Ashkenazy, Y. Dehouck and N. Ben-Tal
Protein stability: A single recorded mutation aids in predicting the
effects of other mutations in the same amino acid site. Bioinformatics, 2011.
O. Kliper-Gross, T.
Hassner, and L. Wolf The Action Similarity
Labeling Challenge.
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI),
2012. Project webpage:
M. Guttmann, L.
Wolf, and D. Cohen-Or Content Aware Video
Manipulation. Computer
Vision and Image Understanding, 2012.
O. Kliper-Gross, T.
Hassner, and L. Wolf One Shot Similarity
Metric Learning for Action Recognition. International Workshop on
Similarity-Based Pattern Analysis and Recognition, 2011
L. Wolf, L. Litwak,
N. Dershowitz, R. Shweka, and Y. Choueka
Active Clustering of Document Fragments using Information Derived from
Both Images and Catalogs. IEEE International Conference on Computer
Vision (ICCV), 2011. Temporary version: .
L. Wolf, N. Dershowitz, L. Potikha, R. Shweka, and Y. Choueka Computerized Paleography: Tools for Historical ManuscriptsIEEE International Conference on Image Processing (ICIP). 2011.
R. Shweka, Y.
Choueka, L. Wolf, N. Dershowitz, and M. Zeldin Automatic Extraction of Catalog Data from Genizah Fragments'
Images Digital Humanities
(DH). 2011.
R. Shweka, Y.
Choueka, L. Wolf, and N. Dershowitz
"Veqarev otam ehad el ehad: Zihui ktav yad vezeruf qitei hagnizah
be-emzaut mahshev" (in Hebrew) Ginzei Kedem. 2011.
L. Wolf, C.
Goldberg, N. Manor, R. Sharan, E. Ruppin.
Gene expression in the rodent brain is associated with its regional
connectivity. PLoS
Computational Biology. 2011.
L. Wolf, T. Hassner
and I. Maoz Face Recognition in
Unconstrained Videos with Matched Background Similarity. IEEE Conf. on Computer Vision and Pattern
Recognition (CVPR), 2011.. Project web page:
O. Van Kaick, A.
Tagliasacchi, O. Sidi, H. Zhang, D. Cohen-Or, L. Wolf, and G. Hamarneh.
Prior Knowledge for Part Correspondence.
Eurographics. 2011.
L. Wolf, R. Littman, N. Mayer, T. German, N. Dershowitz, R. Shweka, and Y. Choueka Identifying Join Candidates in the Cairo Genizah. International Journal of Computer Vision (IJCV), 2011.
L. Wolf, T.
Hassner, and Y. Taigman Effective
Unconstrained Face
Recognition by Combining
Multiple Descriptors and Learned Background Statistic. IEEE Transactions on Pattern Analysis and
Machine Intelligence (PAMI), 2011.
L. Wolf, N.
Dershowitz, L. Potikha, T. German, R. Shweka, and Y. Choueka Automatic Paleographic Exploration of Genizah Manuscripts.
Codicology and Palaeography in the
Digital Age II, 2011.
D. Kropotov, D.
Vetrov, L. Wolf, and T. Hassner
Variational Relevance Vector Machine for Tabular Data. Asian Conference on Machine Learning .
2010.
L. Wolf, T.
Yedidya, R. Ganor, M. Chertok, A. Nachmani, and Y. Finkelstein
Automatic Cephalometric Evaluation of Patients
Suffering from Sleep-Disordered Breathing. International Conference on Medical Image
Computing and Computer Assisted Intervention (MICCAI), 2010.
L. Wolf and N. Manor
Visual Recognition using Mappings that Replicate
Margins. IEEE Conf. on
Computer Vision and Pattern Recognition (CVPR), 2010.. Project web page:
L. Wolf, Z. Freund
and S. Avidan An Eye for an Eye: A Single
Camera Gaze-Replacement Method. IEEE Conf. on Computer Vision and Pattern
Recognition (CVPR), 2010.
J. Assa, L. Wolf,
and D. Cohen-Or The Virtual
Director: a Correlation-Based Online Viewing of Human Motion.
EUROGRAPHICS, 2010.
Demo video (48Mb): 
. Project web page:
L. Liu, R. Chen, L.
Wolf and D. Cohen-Or
Optimizing Photo Composition. EUROGRAPHICS, 2010.
Demo video:
. Project web page:
Niloy J. Mitra, Hung-Kuo Chu, Tong-Yee Lee, Lior Wolf, Hezy Yeshurun, Daniel Cohen-Or Emergence Images ACM SIGGRAPH Asia , 2009.
Lior Wolf, Rotem
Littman, Naama Mayer, Nachum Dershowitz, R. Shweka, and Y. Choueka
Automatically Identifying Join Candidates in the
Cairo Genizah Post
ICCV workshop on eHeritage and Digital Art Preservation, 2009.Best paper award winner. Please let me
know if you are interested in obtaining a copy of the new benchmark,
its size is more than 90Gb.
M. Guttmann, L.
Wolf and D. Cohen-Or Semi-Automatic Stereo
Extraction From Video Footage IEEE International Conference on Computer
Vision (ICCV), 2009..
L. Yeffet and L.
Wolf Local Trinary Patterns for Human Action
Recognition IEEE
International Conference on Computer Vision (ICCV), 2009..
L. Wolf, T.
Hassner, and Y. Taigman The One-Shot
Similarity Kernel IEEE
International Conference on Computer Vision (ICCV), 2009.
Extended version: Project web page:
L. Wolf, Chen
Goldberg and Hezy Yeshurun Proximity
Visualization via Common Fate Luminance Changes GraphiCon , 2009.
L. Wolf, Y. Taigman
and T. Hassner Similarity Scores based on
Background Samples
Asian Conference on Computer Vision (ACCV), 2009.
Y. Taigman, L. Wolf, and T. Hassner Multiple One-Shots for Utilizing Class Label Information The British Machine Vision Conference (BMVC) , 2009. Project web page:
L. Gavish, L. Wolf,
L. Shapira, D. Cohen-Or Principal-channels
for One-sided Object Cutout IEEE CAD/Graphics 2009.
L. Wolf Face Recognition, Shape vs. Appearance-Based Encyclopedia of Biometrics, Springer, 2009.
L. Wolf, T.
Hassner, and Y. Taigman Descriptor Based
Methods in the Wild
Post ECCV workshop on Faces in Real-Life Images: Detection, Alignment,
and Recognition , 2008. Currently (updated to almost..)
the best result of the LFW face
recognition benchmark. Project web page:
L. Wolf and Y.
Donner Local Regularization for Multiclass
Classification Facing Significant Intraclass Variations Proc. of the European Conference on
Computer Vision (ECCV), 2008.
L. Wolf and Y.
Donner An experimental study of employing
visual appearance as a phenotype IEEE Conf. on Computer Vision and Pattern
Recognition (CVPR), 2008. What is this work about? 
L. Wolf, M.
Guttmann and D. Cohen-Or Non-homogeneous
Content-driven Video-retargeting. IEEE International Conference on Computer
Vision (ICCV), 2007.
Demo video (29Mb):
. Project web page:
H. Jhuang, T.
Serre, L. Wolf and T. Poggio A Biologically
Inspired System for Action Recognition. IEEE International Conference on Computer
Vision (ICCV), 2007.
J. Assa and L. Wolf
Diorama Construction from a
Single Image. EUROGRAPHICS,
2007.
Demo video (100Mb):
. Project web page:
E. Meyers and L.
Wolf Using Biologically
Inspired Features for Face Processing (short paper). International Journal of Computer Vision
(IJCV), accepted 2007.
L. Wolf, H.Jhuang
and T.Hazan Learning Appearances with
Low-Rank SVM. IEEE
Conf. on Computer Vision and Pattern Recognition (CVPR), 2007.
L. Wolf and M.
Guttman Artificial complex cells via the
tropical semiring. IEEE
Conf. on Computer Vision and Pattern Recognition (CVPR), 2007.
S. Bileschi and L.
Wolf Image representations beyond histograms
of gradients: The role of Gestalt descriptors. IEEE Conf. on Computer Vision and Pattern
Recognition (CVPR), 2007.
T. Serre, L. Wolf,
S. Bileschi, M. Riesenhuber, and T. Poggio
Robust Object Recognition
with Cortex-like Mechanisms IEEE Transactions on Pattern Analysis and
Machine Intelligence (PAMI), 2007.
L. Wolf, S.
Bileschi, and E. Meyers Perception
Strategies in Hierarchical Vision Systems IEEE Conf. on Computer Vision and Pattern
Recognition (CVPR), 2006.
L. Wolf, Xiaolei
Huang, Ian Martin and Dimitris
Metaxas Patch-Based Texture Edges and
Segmentation Proc. of
the European Conference on Computer Vision (ECCV), May 2006.
L. Wolf and S.
Bileschi A critical view of
context (short paper). International Journal of Computer Vision
(IJCV), 2006.
Lior Wolf and A.
Zomet Wide Baseline
Matching between Unsynchronized Video Sequences. International Journal of Computer Vision
(IJCV),68(1), 2006.
L. Wolf and A. Shashua Feature Selection for Unsupervised and Supervised Inference: The Emergence of Sparsity in a Weight-Based Approach. Journal of Machine Learning Research (JMLR), 2005.
S. Bileschi and L.
Wolf. A Unified System for Object
Detection, Texture Recognition, and
Context Analysis Based on the Standard Model Feature Set. British Machine Vision Conference
(BMVC), 2005.
L. Wolf, A. Shashua
and S. Mukhergee. Gene Selection via a
Spectral Approach. post
CVPR IEEE Workshop on Computer Vision Methods for Bioinformatics
(CVMB), 2005.
L. Wolf and I.
Martin. Robust Boosting for Learning from
Few Examples. IEEE
Conf. on Computer Vision and Pattern Recognition (CVPR), 2005.
Preprint: ; TR: AIM-2004-025, CBCL-243
L. Wolf and S.
Bileschi. Combining Variable Selection
with Dimensionality Reduction IEEE Conf. on Computer Vision and Pattern
Recognition (CVPR), 2005. Preprint:
T. Serre, L. Wolf
and T. Poggio. A new biologically
motivated framework for robust object recognition IEEE Conf. on Computer Vision and Pattern
Recognition (CVPR), 2005. Preprint: AIM-2004-026, CBCL-243,
A. Shashua and L.
Wolf. Dynamic P^n to P^n Alignment.
The Handbook of Computational
Geometry for Pattern Recognition, Computer Vision, Neurocomputing and
Robotics. Eduardo Bayro-Corrochano (eds.), Springer-Verlag,
2004.
A. Shashua and L.
Wolf. Kernel Feature Selection with Side
Data using a Spectral Approach Proc. of the European Conference on
Computer Vision (ECCV), May 2004
L. Wolf and A.
Shashua. Learning over Sets using Kernel
Principal Angles
Journal of Machine Learning Research (JMLR), 4(10):913-931, 2003.
L. Wolf, A. Shashua
and S. Mukherjee Selecting Relevant Genes with a Spectral
Approach CBCL Technical Report
234, AIM-2004-002, 2004..
Lior Wolf and A.
Shashua. Direct Feature Selection with Implicit Inference.
International Conference on Computer
Vision (ICCV) 2003 .
An extended version HU TR-2003-58
Lior Wolf and A.
Shashua. Kernel Principal Angles for Classification Machines
with Applications to Image Sequence Interpretation. IEEE Conf. on Computer Vision and Pattern
Recognition (CVPR), June 2003, Madison, Wisconsin .
A. Aner-Wolf
and L. Wolf Video de-Abstraction or "How to save money on
your wedding video". Workshop on Applications in Computer
Vision (WACV) 2002 
. Demo video:
Lior Wolf and A.
Zomet Correspondence-free
Synchronization and Reconstruction in a Non-rigid Scene.
post ECCV 2002 Workshop on Vision
and Modeling of Dynamic Scenes.
Lior Wolf and
A. Zomet Sequence to Sequence Self Calibration .European Conference on Computer Vision
(ECCV), May 2002, Copenhagen, Denmark
Lior Wolf and A. Shashua.
Two-body Segmentation from Two Perspective Views. IEEE Conf. on Computer Vision and Pattern
Recognition (CVPR), Dec. 2001, Hawaii. .
A. Levin, Lior Wolf and A. Shashua.
Time-varying Shape Tensors for Scenes with Multiply Moving Points. IEEE Conf. on Computer Vision and Pattern
Recognition (CVPR), 2001.
Lior Wolf and A.
Shashua. On Projection Matrices P^k -> P^2,
k=3,...,6, and their Applications in Computer Vision. International Conference on Computer
Vision (ICCV) Vancouver, Canada, July, 2001 . Complete version: International Journal of
Computer Vision (IJCV) 48(1), June 2002 Honorable Mention for the 2001 Marr Prize.
Lior Wolf and A.
Shashua. Affine 3-D Reconstruction from Two
Projective Images of Independently Translating Planes. International Conference on Computer
Vision (ICCV) Vancouver, Canada, July, 2001 .
A. Zomet, Lior Wolf and A.
Shashua. Omni-rig: Linear Self-recalibration of a Rig
with Varying Internal and External Parameters. International Conference on Computer
Vision (ICCV) Vancouver, Canada, July, 2001 .
A. Shashua and Lior Wolf. Homography
Tensors: On Algebraic Entities That Represent Three Views of Static or
Moving Planar Points. Proc. of
the European Conference on Computer Vision (ECCV), June 2000,
Dublin, Ireland. Best paper award winner.
A. Shashua and Lior Wolf. On
the Structure and Properties of the Quadrifocal Tensor. Proc. of the European Conference on
Computer Vision (ECCV), June 2000, Dublin, Ireland.
Lior Wolf, A. Shashua
and Y. Wexler. Join Tensors: on 3D-to-3D alignment of
Dynamic Sets. Proc. of the Int.
Conf. on Pattern Recog. (ICPR), Sep. 2000, Barcelona, Spain
Awards
SCIA 2023, Best paper award
FG 2021, Best paper award
ICCV 2019, Best paper honorable mention
ICANN 2016, Best paper award
Large Scale Movie Description and Understanding Challenge at ECCV 2016. 1st place movie description challenge
CFHR 2014 competition on Handwritten Keyword Spotting (track II), first place
CVPR workshop on action similarity in unconstrained video 2013, best paper and best performance awards
ICCV workshop on eHeritage 2009, Best paper award
Sackler Career Development Chair 2008
Colton Excellence Fellowship for new faculty 2006-2007
PhD with distinction (summa cum laude), and the the Max Shlumiuk award
for 2004
Rothchild fellowship 2004
ICCV 2001, Marr prize honorable mention
ECCV 2000, Best paper award
Amirim excellence program scholarship 1996-1999
Dean award 1996
Teaching
Fall semester 2024 -- 0368-4488-01 Deep Learning.
Meets Mon 10:00-13:00.
Fall semester 2023 -- 0368-4488-01 Deep Learning.
Meets Mon 10:00-13:00.
Fall semester 2022 -- 0368-4488-01 Deep Learning.
Meets Mon 10:00-13:00.
Fall semester 2021 -- 0368-4488-01 Deep Learning.
Meets Mon 10:00-13:00.
Fall semester 2020 -- 0368-4488-01 Deep Learning.
Meets Mon 10:00-13:00. Online.
Fall semester 2019 -- 0368-4488-01 Deep Learning.
Meets Mon 10:00-13:00. Checkpoint building room 001
Fall semester 2018 -- 0368-4488-01 Deep Learning.
Meets Mon 10:00-13:00.
Fall semester 2017 -- 0368-4488-01 Deep Learning.
Meets Mon 10:00-13:00. Interdiciplinary building 315.
Fall semester 2016 -- 0368-3245-01 Teaching Computer Science in the
Community. Meets Friday 9:00-13:00. Schreiber 309.
Fall semester 2016 -- 0368-5210-02 Research seminar:
Deep Learning. Meets Mon 15:00-17:00. Villa.
Fall semester 2016 -- 0368-2157-07 Software 1.
Meets Mondays 12:00-15:00. Lev 009.
Fall semester 2015 -- 0368-4488-01 Deep Learning.
Meets Sun 10:00-13:00. Orenstein 111.
Fall semester 2015 -- 0368-3235 Introduction to Machine
Learning. Meets Sun 13:00-15:00, Porter 101.
Fall semester 2015 -- 0368-5210-02 Research seminar:
Computational Vision. Meets Sun 15:00-17:00. Kaplun 324.
Fall semester 2015 -- 0368-2157-07 Software 1.
Meets Tuesdays 10:00-13:00. Lev 009.
Spring semester 2015 -- 0368-3249-01 First
steps in research of outstanding students. Meets Mon 10:00-13:00.
Orenstein 111.
Spring semester 2015 -- 0368-5210-02 Research seminar:
Computational Vision. Meets Mon 16:00-18:00. Kaplun 324.
Spring semester 2015 -- 0368-4488-01 Deep Learning.
Meets Mon 13:00-16:00. Shenkar 104.
Fall semester 2014 -- 0368-4014 Machine Vision. Meets Sunday
10:00-13:00. Orenstein 110 first class. Afterwards, classroom number 4
in Schreiber.
Fall semester 2014 -- 0368-3235 Introduction to Machine
Learning. Meets Sun 13:00-15:00, Dan David 110.
Fall semester 2014 -- 0368-5210 Group meeting. Meets Sun 15:00-17:00. Kaplun 324.
Spring semester 2015 -- 0368-4488-01 Deep Learning.
Meets Mon 13:00-16:00. Shenkar 104.
Spring semester 2015 -- 0368-3249-01 First
steps in research of outstanding students. Meets Mon 10:00-13:00.
Orenstein 111.
Spring semester 2015 -- 0368-5210-02 Research seminar:
Computational Vision. Meets Mon 16:00-18:00. Kaplun 324.
Fall semester 2014 -- 0368-4014 Machine Vision. Meets Sunday
10:00-13:00. Orenstein 110 first class. Afterwards, classroom number 4
in Schreiber.
Fall semester 2014 -- 0368-3235 Introduction to Machine
Learning. Meets Sun 13:00-15:00, Dan David 110.
Fall semester 2014 -- 0368-5210 Group meeting. Meets Sun 15:00-17:00. Kaplun 324.
Spring semester 2014 -- 0368-2157-07 Software 1.
Meets Tuesdays 10:00-13:00. Lev 009.
Spring semester 2014 -- 0368-3249-01 First
steps in research of outstanding students. Meets Mon 10:00-13:00.
Shenkar 204.
Spring semester 2014 -- 0368-3500-49
Workshop in Computer Science. Meets Sun 9:00-11:00, Dan David 204.
Fall semester 2013 -- 0368-3235-01 Introduction to Machine
Learning. Meets Sun 13:00-15:00, Holzblat 007.
Fall semester 2013 -- 0368-5196-01 Research seminar: Digital
Humanities. Meets Wed 10:00-12:00. Schreiber 007.
Spring semester 2013 -- 0368-2157-07 Software 1.
Meets Tuesdays 10:00-13:00. Dan David 002.
Spring semester 2013 -- 0368-3249-01 First
steps in research of outstanding students. Meets Mon 10:00-13:00.
Shenkar 222.
Spring semester 2013 -- 0368-3500-49
Workshop in Computer Science. Meets Sun 9:00-11:00, Kaplun 319.
Fall semester 2012 -- 0368-4014-01 Machine Vision. Meets Wed
10:00-13:00. Schreiber 006 first class. Afterwards, classroom number 4
in
Schreiber.
Fall semester 2012 -- 0368-5196-01 Research
seminar: Digital Humanities, jointly with Prof. Dershowitz. Meets
Wed 14:00-16:00. Schreiber 309.
Spring semester 2012 -- 0368-2157-07 Software 1.
Meets Wednesdays 9:00-12:00. Orenstein 103.
Spring semester 2012 -- 0368-5107-01 Research seminar:
Computational Vision. Meets Wed 12:00-14:00. Kaplun 324.
Spring semester 2012 -- 0368-4606-01 Advanced seminar: visual
object recognition. Meets Wed 14:00-16:00, Kaplun 324.
Spring semester 2011 -- 0368-2157-07 Software 1.
Meets Tuesday 10:00-13:00.
Spring semester 2011 -- 0368-3500-25 Workshop
in computer Science. Meets Sundays 9:00-11:00.
Fall semester 2010 -- 0368-3245-01 Teaching Computer Science in the
Community. Tuesday 12:00-15:00. Schreiber 006.
Fall semester 2010 -- 0368-4014-01 Machine Vision Meets Wed
10:00-13:00. Orenstein 110 first class. Afterwards, classroom number 4
in Schreiber.
Fall semester 2010 -- 0368-5107-01 Research seminar: Computational
Vision. Meets Wed 13:00-15:00. Schreiber 309 first hour, Kaplun 319
second hour.
Spring semester 2010 -- 0368-2157-07 Software 1.
Meets Tuesday 10:00-13:00.
Spring semester 2010 -- 0368-3500-25 Workshop in
computer Science. Meets Sundays 9:00-11:00.
Fall semester 2009 -- 0368-3245-01 Teaching Computer Science in the
Community. Tuesday 12:00-15:00. Kaplun 324.
Fall semester 2009 -- 0368-4014-01 Machine Vision Meets Wed
10:00-13:00. Kaplun 319 first class. Afterwards, classroom number 4 in
Schreiber.
Fall semester 2009 -- 0368-5107-01 Research seminar: Computational
Vision. Meets Sun 12:00-14:00. Schreiber 309.
Spring semester 2009 -- 0368-2157-07 Software 1.
Meets Tuesday 10:00-13:00.
Spring semester 2009 -- 0368-3500-25 Workshop in
computer Science. Meets Sundays 9:00-11:00.
Fall semester 2008 -- 0368-3245-01. Community Computer Science
Teaching. Tuesday 12:15-13:15. Dan David 209. Exam dates -- 22-Feb and
9-Aug.
Fall semester 2008 -- 0368-3060-01 Intro to Machine
Learning. Meets Wed 10:00-13:00.
Fall semester 2008 -- 0368-4606-01 Advanced seminar: visual
object recognition. Meets Wed 13:00-15:00.
Spring semester 2008 -- 0368-2157-07 Software 1.
Meets Tuesday 10:00-13:00.
Spring semester 2008 -- 0368-3500-25 Workshop
in computer Science. Meets Sundays 9:00-11:00.
Fall semester 2007 -- 0368-3060-01 Concentrated M.Sc
program: Workshop in visual object recognition. Meets Fridays
11:30-14:30.
Fall semester 2007 -- 0368-3060-01 Intro to Machine Learning.
Meets Mondays 10:00-13:00.
Fall semester 2007 -- 0368-4606-01 Advanced seminar: visual
object recognition. Meets Mondays 13:00-15:00.
Spring semester 2007 -- 0368-2157-07 Software 1.
Meets Tuesday 10:00-13:00
Spring semester 2007 -- 0368-3373-01 Seminar: introduction to
visual object recognition. Meets Wednesdays 11:00-13:00. Note: If
you are interested in object recognition but were unable to make it
through the bidding, please contact me.
Fall semester 2006 -- 0368-4606-01 Advanced seminar: visual
object recognition. Meets Mondays 13:00-15:00.
I have organized the 2007/2008 Computer Science
colloquium . Sundays 11:15-12:15, at Schreiber 309.
