Péter Vajda
Impact in
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- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Advanced Image Processing Techniques
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
Papers in
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- Advanced Neural Network Applications 17
- Video Analysis and Summarization 9
- Generative Adversarial Networks and Image Synthesis 7
- Advanced Image and Video Retrieval Techniques 7
- Image Retrieval and Classification Techniques 7
- Multimodal Machine Learning Applications 3
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- 3D Shape Modeling and Analysis 7
- Co-authors
- Bichen Wu (22 shared papers)Xiaoliang Dai (15 shared papers)Peizhao Zhang (18 shared papers)Kurt Keutzer (6 shared papers)Yuandong Tian (3 shared papers)Fei Sun (2 shared papers)Yangqing Jia (2 shared papers)Yiming Wu (2 shared papers)
- Journals
- Lecture notes in computer science (10 papers)IEEE Signal Processing Magazine (1 paper)ACM Transactions on Graphics (1 paper)ACM Transactions on Embedded Computing Systems (1 paper)Multimedia Tools and Applications (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Péter Vajda
55 papers receiving 3.3k citations
Péter Vajda's Hit Papers
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 2.4k
- Hardware and Architecture 281
- Artificial Intelligence 707
- Computational Mechanics 339
- Computer Networks and Communications 210
Countries citing papers authored by Péter Vajda
This map shows the geographic impact of Péter Vajda'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 Péter Vajda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Péter Vajda more than expected).
Fields of papers citing papers by Péter Vajda
This network shows the impact of papers produced by Péter Vajda. 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 Péter Vajda. The network helps show where Péter Vajda may publish in the future.
Co-authors
The 25 scholars most cited alongside Péter Vajda, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search Hit paper breakdown → | 2019 | 911 |
| 2 | Machine Learning at Facebook: Understanding Inference at the Edge Hit paper breakdown → | 2019 | 330 |
| 3 | Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP Hit paper breakdown → | 2023 | 326 |
| 4 | SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation Hit paper breakdown → | 2020 | 324 |
| 5 | 2020 | 216 | |
| 6 | 2019 | 191 | |
| 7 | Cross-Domain Adaptive Teacher for Object Detection Hit paper breakdown → | 2022 | 187 |
| 8 | 2018 | 118 | |
| 9 | 2021 | 72 | |
| 10 | 2019 | 71 | |
| 11 | 2021 | 66 | |
| 12 | 2020 | 53 | |
| 13 | 2022 | 49 | |
| 14 | 2021 | 45 | |
| 15 | 2023 | 43 | |
| 16 | 2023 | 41 | |
| 17 | 2021 | 39 | |
| 18 | 2020 | 24 | |
| 19 | 2024 | 22 | |
| 20 | 2021 | 20 |
About Péter Vajda
Péter Vajda is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence, Computer Graphics and Computer-Aided Design and Human-Computer Interaction, having authored 57 papers that have together received 3.4k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (17 papers), Video Analysis and Summarization (9 papers), Generative Adversarial Networks and Image Synthesis (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Image Retrieval and Classification Techniques (7 papers), 3D Shape Modeling and Analysis (7 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Multimodal Machine Learning Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.4k citations), Hardware and Architecture (281 citations), Artificial Intelligence (707 citations), Computational Mechanics (339 citations) and Computer Networks and Communications (210 citations). Péter Vajda has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Kurt Keutzer, Yuandong Tian, Fei Sun, Yangqing Jia, Yiming Wu, Zijian He and Chenfeng Xu. Their work appears in journals such as Lecture notes in computer science, IEEE Signal Processing Magazine, ACM Transactions on Graphics, ACM Transactions on Embedded Computing Systems and Multimedia Tools and Applications.
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.