Andreas Veit
Impact in
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- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Generative Adversarial Networks and Image Synthesis
- Artificial Intelligence top 2%
- Machine Learning and Data Classification
- Domain Adaptation and Few-Shot Learning
- Adversarial Robustness in Machine Learning
Papers in
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- Advanced Neural Network Applications 6
- Advanced Image and Video Retrieval Techniques 4
- Multimodal Machine Learning Applications 3
- Image Retrieval and Classification Techniques 2
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- Topic Modeling 2
- Stochastic Gradient Optimization Techniques 2
- Co-authors
- Serge Belongie (12 shared papers)Michael J. Wilber (3 shared papers)Ayan Chakrabarti (3 shared papers)Daniel Gläsner (3 shared papers)Gal Chechik (1 shared paper)Abhinav Kirti Gupta (1 shared paper)Neil Alldrin (1 shared paper)Daliang Li (2 shared papers)
- Journals
- International Journal of Computer Vision (1 paper)Lecture notes in computer science (1 paper)IEEE International Conference on Computer Vision (ICCV) (1 paper)IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)IEEE International Conference on Smart Grid Communications (SmartGridComm) (2 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Andreas Veit
22 papers receiving 1.9k citations
Andreas Veit's Hit Papers
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 1k
- Artificial Intelligence 625
- Information Systems 206
- Computer Science Applications 25
- Signal Processing 38
Countries citing papers authored by Andreas Veit
This map shows the geographic impact of Andreas Veit'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 Andreas Veit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Veit more than expected).
Fields of papers citing papers by Andreas Veit
This network shows the impact of papers produced by Andreas Veit. 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 Andreas Veit. The network helps show where Andreas Veit may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Veit, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 337 | |
| 2 | Understanding Robustness of Transformers for Image Classification Hit paper breakdown → | 2021 | 299 |
| 3 | 2018 | 259 | |
| 4 | 2015 | 225 | |
| 5 | Residual networks behave like ensembles of relatively shallow networks | 2016 | 207 |
| 6 | 2017 | 110 | |
| 7 | Rethinking FID: Towards a Better Evaluation Metric for Image Generation Hit paper breakdown → | 2024 | 104 |
| 8 | 2018 | 94 | |
| 9 | 2016 | 67 | |
| 10 | 2014 | 60 | |
| 11 | 2017 | 44 | |
| 12 | 2019 | 42 | |
| 13 | 2017 | 39 | |
| 14 | 2023 | 35 | |
| 15 | Why ADAM Beats SGD for Attention Models | 2019 | 26 |
| 16 | 2013 | 18 | |
| 17 | 2018 | 17 | |
| 18 | 2018 | 5 | |
| 19 | RankDistil: Knowledge Distillation for Ranking | 2021 | 4 |
| 20 | 2015 | 3 |
About Andreas Veit
Andreas Veit is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Science Applications, Electrical and Electronic Engineering and Information Systems, having authored 22 papers that have together received 2k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Advanced Image and Video Retrieval Techniques (4 papers), Multimodal Machine Learning Applications (3 papers), Smart Grid Energy Management (3 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Topic Modeling (2 papers), Image Retrieval and Classification Techniques (2 papers) and Stochastic Gradient Optimization Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1k citations), Artificial Intelligence (625 citations), Information Systems (206 citations), Computer Science Applications (25 citations) and Signal Processing (38 citations). Andreas Veit has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Serge Belongie, Michael J. Wilber, Ayan Chakrabarti, Daniel Gläsner, Gal Chechik, Abhinav Kirti Gupta, Neil Alldrin, Daliang Li, Thomas Unterthiner and Srinadh Bhojanapalli. Their work appears in journals such as International Journal of Computer Vision, Lecture notes in computer science, IEEE International Conference on Computer Vision (ICCV), IEEE/CVF International Conference on Computer Vision (ICCV) and IEEE International Conference on Smart Grid Communications (SmartGridComm).
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.