José M. Alvarez
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- Advanced Neural Network Applications 33
- Video Surveillance and Tracking Methods 19
- Advanced Vision and Imaging 16
- Advanced Image and Video Retrieval Techniques 14
- Automotive Engineering top 1%
- Autonomous Vehicle Technology and Safety 20
- Artificial Intelligence top 1%
- Domain Adaptation and Few-Shot Learning 17
- Media Technology top 1%
- Environmental Engineering top 2%
- Remote Sensing and LiDAR Applications 10
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- Automated Road and Building Extraction 8
- Co-authors
- Eduardo RomeraLuis M. BergasaRoberto ArroyoAntonio M. LópezPavlo MolchanovHongxu YinJan KautzArun Mallya
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (4 papers)International Journal of Computer Vision (1 paper)IEEE Transactions on Vehicular Technology (2 papers)
- Partner nations
- AustraliaSpainUnited States
In The Last Decade
José M. Alvarez
73 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Computer Vision and Pattern Recognition 2.9k
- Automotive Engineering 684
- Artificial Intelligence 1.2k
- Media Technology 307
- Environmental Engineering 386
Countries citing papers authored by José M. Alvarez
This map shows the geographic impact of José M. Alvarez'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 José M. Alvarez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José M. Alvarez more than expected).
Fields of papers citing papers by José M. Alvarez
This network shows the impact of papers produced by José M. Alvarez. 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 José M. Alvarez. The network helps show where José M. Alvarez may publish in the future.
Co-authorship network
The 25 scholars most cited alongside José M. Alvarez, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 48 | |
| 4 | A-ViT: Adaptive Tokens for Efficient Vision Transformerbreakdown → | 2022 | 165 |
| 5 | See through Gradients: Image Batch Recovery via GradInversionbreakdown → | 2021 | 254 |
| 6 | 2021 | 0 | |
| 7 | 2021 | 7 | |
| 8 | Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection | 2021 | 5 |
| 9 | ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks | 2020 | 21 |
| 10 | 2020 | 214 | |
| 11 | Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversionbreakdown → | 2020 | 284 |
| 12 | 2019 | 20 | |
| 13 | Bridging the Day and Night Domain Gap for Semantic Segmentation | 2019 | 2 |
| 14 | Less is More: An Exploration of Data Redundancy with Active Dataset Subsampling. | 2019 | 2 |
| 15 | 2018 | 56 | |
| 16 | 2018 | 10 | |
| 17 | Compression-aware Training of Deep Networks | 2017 | 37 |
| 18 | 2014 | 5 | |
| 19 | 2009 | 29 | |
| 20 | 2007 | 3 |
About José M. Alvarez
José M. Alvarez is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Media Technology, having authored 78 papers that have together received 3.9k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (33 papers), Autonomous Vehicle Technology and Safety (20 papers), Video Surveillance and Tracking Methods (19 papers), Domain Adaptation and Few-Shot Learning (17 papers), Advanced Vision and Imaging (16 papers), Advanced Image and Video Retrieval Techniques (14 papers), Remote Sensing and LiDAR Applications (10 papers) and Automated Road and Building Extraction (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.9k citations), Automotive Engineering (684 citations) and Artificial Intelligence (1.2k citations). José M. Alvarez has collaborated with scholars based in Australia, Spain and United States. Frequent co-authors include Eduardo Romera, Luis M. Bergasa, Roberto Arroyo, Antonio M. López, Pavlo Molchanov, Hongxu Yin, Jan Kautz, Arun Mallya, Miaomiao Liu and Mathieu Salzmann. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and IEEE Transactions on Vehicular Technology.
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.