Josef Šivic
Impact in
- Computer Vision and Pattern Recognition top 0.02%
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Advanced Vision and Imaging
- Media Technology top 0.1%
Papers in
-
- Advanced Image and Video Retrieval Techniques 55
- Human Pose and Action Recognition 29
- Multimodal Machine Learning Applications 29
- Video Analysis and Summarization 25
- Advanced Vision and Imaging 22
- Video Surveillance and Tracking Methods 19
- Image Retrieval and Classification Techniques 18
-
- Robotics and Sensor-Based Localization 28
- Co-authors
- Andrew Zisserman (31 shared papers)Ivan Laptev (32 shared papers)James Philbin (7 shared papers)Michael Isard (4 shared papers)Ondřej Chum (4 shared papers)Tomáš Pajdla (17 shared papers)Maxime Oquab (2 shared papers)Léon Bottou (2 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (16 papers)International Journal of Computer Vision (8 papers)IEEE Robotics and Automation Letters (3 papers)ACM Transactions on Graphics (3 papers)Proceedings of the IEEE (2 papers)
- Partner nations
- FranceCzechiaUnited Kingdom
In The Last Decade
Josef Šivic
118 papers receiving 18.3k citations
Josef Šivic's Hit Papers
Peers
Comparison fields: 5 of 186
- Computer Vision and Pattern Recognition 16.3k
- Media Technology 1.8k
- Aerospace Engineering 4.5k
- Artificial Intelligence 4.0k
- Geology 573
Countries citing papers authored by Josef Šivic
This map shows the geographic impact of Josef Šivic'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 Josef Šivic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Josef Šivic more than expected).
Fields of papers citing papers by Josef Šivic
This network shows the impact of papers produced by Josef Šivic. 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 Josef Šivic. The network helps show where Josef Šivic may publish in the future.
Co-authors
The 25 scholars most cited alongside Josef Šivic, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks Hit paper breakdown → | 2014 | 2278 |
| 2 | Object retrieval with large vocabularies and fast spatial matching Hit paper breakdown → | 2007 | 2200 |
| 3 | NetVLAD: CNN architecture for weakly supervised place recognition Hit paper breakdown → | 2015 | 1275 |
| 4 | Lost in quantization: Improving particular object retrieval in large scale image databases Hit paper breakdown → | 2008 | 1077 |
| 5 | D2-Net: A Trainable CNN for Joint Description and Detection of Local Features Hit paper breakdown → | 2019 | 790 |
| 6 | Discovering objects and their location in images Hit paper breakdown → | 2005 | 755 |
| 7 | Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval Hit paper breakdown → | 2007 | 671 |
| 8 | HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million\n Narrated Video Clips Hit paper breakdown → | 2019 | 610 |
| 9 | What makes Paris look like Paris? Hit paper breakdown → | 2012 | 487 |
| 10 | Using Multiple Segmentations to Discover Objects and their Extent in Image Collections Hit paper breakdown → | 2006 | 487 |
| 11 | SIFT Flow: Dense Correspondence across Different Scenes Hit paper breakdown → | 2008 | 445 |
| 12 | Hello! My name is... Buffy'' -- Automatic Naming of Characters in TV Video Hit paper breakdown → | 2006 | 438 |
| 13 | End-to-End Learning of Visual Representations From Uncurated Instructional Videos Hit paper breakdown → | 2020 | 403 |
| 14 | Non-uniform Deblurring for Shaken Images Hit paper breakdown → | 2011 | 387 |
| 15 | Efficient Visual Search of Videos Cast as Text Retrieval Hit paper breakdown → | 2009 | 371 |
| 16 | Discovering object categories in image collections | 2005 | 342 |
| 17 | CosyPose: Consistent multi-view multi-object 6D pose estimation Hit paper breakdown → | 2020 | 290 |
| 18 | Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models Hit paper breakdown → | 2014 | 287 |
| 19 | 2011 | 237 | |
| 20 | 2013 | 223 |
About Josef Šivic
Josef Šivic is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Control and Systems Engineering and Media Technology, having authored 122 papers that have together received 19.0k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (55 papers), Human Pose and Action Recognition (29 papers), Multimodal Machine Learning Applications (29 papers), Robotics and Sensor-Based Localization (28 papers), Video Analysis and Summarization (25 papers), Advanced Vision and Imaging (22 papers), Video Surveillance and Tracking Methods (19 papers) and Image Retrieval and Classification Techniques (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (16.3k citations), Media Technology (1.8k citations), Aerospace Engineering (4.5k citations), Artificial Intelligence (4.0k citations) and Geology (573 citations). Josef Šivic has collaborated with scholars based in France, Czechia and United Kingdom. Frequent co-authors include Andrew Zisserman, Ivan Laptev, James Philbin, Michael Isard, Ondřej Chum, Tomáš Pajdla, Maxime Oquab, Léon Bottou, Alexei A. Efros and Akihiko Torii. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, IEEE Robotics and Automation Letters, ACM Transactions on Graphics and Proceedings of the IEEE.
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.