Lior Wolf
- Computer Vision and Pattern Recognition top 0.05%
- Advanced Image and Video Retrieval Techniques 39
- Advanced Vision and Imaging 28
- Image Retrieval and Classification Techniques 19
- Handwritten Text Recognition Techniques 19
- Face and Expression Recognition 18
- Generative Adversarial Networks and Image Synthesis 17
- Multimodal Machine Learning Applications 16
- Face recognition and analysis 15
- Signal Processing top 0.1%
- Media Technology top 0.2%
- Artificial Intelligence top 0.2%
- Human-Computer Interaction top 1%
- Co-authors
- Yaniv TaigmanMing YangMarc’Aurelio RanzatoTal HassnerT. SerreTomaso PoggioStanley BileschiItay Maoz
- Journals
- International Journal of Computer Vision (5 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (5 papers)Computer Graphics Forum (5 papers)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Lior Wolf
196 papers receiving 13.5k citations
Hit Papers
Peers
Comparison fields: 5 of 209
- Computer Vision and Pattern Recognition 9.9k
- Signal Processing 2.4k
- Media Technology 914
- Artificial Intelligence 3.3k
- Human-Computer Interaction 363
Countries citing papers authored by Lior Wolf
This map shows the geographic impact of Lior Wolf's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lior Wolf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lior Wolf more than expected).
Fields of papers citing papers by Lior Wolf
This network shows the impact of papers produced by Lior Wolf. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lior Wolf. The network helps show where Lior Wolf may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lior Wolf, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 15 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 16 | |
| 8 | 2022 | 16 | |
| 9 | Recovering AES Keys with a Deep Cold Boot Attack | 2021 | 1 |
| 10 | 2020 | 61 | |
| 11 | Audio Denoising with Deep Network Priors. | 2019 | 4 |
| 12 | 2018 | 48 | |
| 13 | Learning to Align the Source Code to the Compiled Object Code | 2017 | 7 |
| 14 | Two-Step Disentanglement for Financial Data. | 2017 | 3 |
| 15 | In Defense of Product Quantization | 2017 | 4 |
| 16 | Temporal Tessellation for Video Annotation and Summarization. | 2016 | 4 |
| 17 | 2015 | 198 | |
| 18 | 2012 | 107 | |
| 19 | Feature Selection for Unsupervised and Supervised Inference: The Emergence of Sparsity in a Weight-Based Approach | 2005 | 137 |
| 20 | On Projection Matrices and their Applications in Computer Vision. | 2001 | 14 |
About Lior Wolf
Lior Wolf is a scholar working on Computer Vision and Pattern Recognition, Space and Planetary Science and Signal Processing, having authored 208 papers that have together received 14.1k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (39 papers), Advanced Vision and Imaging (28 papers), Image Retrieval and Classification Techniques (19 papers), Handwritten Text Recognition Techniques (19 papers), Face and Expression Recognition (18 papers), Generative Adversarial Networks and Image Synthesis (17 papers), Multimodal Machine Learning Applications (16 papers) and Face recognition and analysis (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (9.9k citations), Signal Processing (2.4k citations) and Media Technology (914 citations). Lior Wolf has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Yaniv Taigman, Ming Yang, Marc’Aurelio Ranzato, Tal Hassner, T. Serre, Tomaso Poggio, Stanley Bileschi, Itay Maoz, Daniel Cohen‐Or and Maximilian Riesenhuber. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, Computer Graphics Forum, ACM Transactions on Graphics and PLoS Computational Biology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.