Péter Vajda

4.9k total citations · 2 hit papers
41 papers, 1.6k citations indexed

About

Péter Vajda is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Péter Vajda has authored 41 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 4 papers in Sociology and Political Science. Recurrent topics in Péter Vajda's work include Advanced Image and Video Retrieval Techniques (17 papers), Advanced Neural Network Applications (13 papers) and Video Analysis and Summarization (11 papers). Péter Vajda is often cited by papers focused on Advanced Image and Video Retrieval Techniques (17 papers), Advanced Neural Network Applications (13 papers) and Video Analysis and Summarization (11 papers). Péter Vajda collaborates with scholars based in United States, Israel and Switzerland. Péter Vajda's co-authors include BoRui Wu, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, Yanghan Wang, Fei Sun, Yangqing Jia, Yiming Wu, Kurt Keutzer and Zijian He and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACM Transactions on Graphics and IEEE Signal Processing Magazine.

In The Last Decade

Péter Vajda

40 papers receiving 1.6k citations

Hit Papers

FBNet: Hardware-Aware Efficient ConvNet Design via Differ... 2019 2026 2021 2023 2019 2022 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Péter Vajda United States 14 1.2k 857 206 110 74 41 1.6k
Yuandong Tian United States 20 1.4k 1.1× 888 1.0× 185 0.9× 104 0.9× 74 1.0× 47 1.9k
Xiaoliang Dai United States 17 1.4k 1.1× 1.1k 1.2× 287 1.4× 105 1.0× 102 1.4× 44 2.0k
Jian-Hao Luo China 6 1.4k 1.2× 1.0k 1.2× 136 0.7× 89 0.8× 80 1.1× 9 1.8k
Yiming Wu China 12 743 0.6× 574 0.7× 179 0.9× 51 0.5× 70 0.9× 27 1.2k
Cihang Xie United States 14 850 0.7× 1.4k 1.7× 180 0.9× 83 0.8× 55 0.7× 33 1.8k
Brody Huval United States 3 516 0.4× 986 1.2× 111 0.5× 39 0.4× 70 0.9× 3 1.5k
Pengzhen Ren Australia 9 536 0.4× 711 0.8× 89 0.4× 78 0.7× 76 1.0× 12 1.3k
Andreas Veit United States 14 646 0.5× 613 0.7× 107 0.5× 73 0.7× 29 0.4× 21 1.3k
Yisen Wang China 16 661 0.5× 1.4k 1.6× 117 0.6× 94 0.9× 92 1.2× 59 1.9k
Yuan He China 19 1.0k 0.8× 639 0.7× 58 0.3× 112 1.0× 28 0.4× 58 1.5k

Countries citing papers authored by Péter Vajda

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Péter Vajda

This figure shows the co-authorship network connecting the top 25 collaborators of Péter Vajda. A scholar is included among the top collaborators of Péter Vajda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Péter Vajda. Péter Vajda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ma, Haoyu, Zhongyuan He, Tingbo Hou, et al.. (2025). Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts. 13146–13156. 1 indexed citations
2.
Wu, BoRui, Xiaoliang Dai, Zijian He, et al.. (2024). Cache Me if You Can: Accelerating Diffusion Models through Block Caching. 6211–6220. 3 indexed citations
3.
Papčo, Juraj, Filippo Greco, Péter Vajda, et al.. (2024). Observation and Local Prediction of the Vertical Gravity Gradient: Review Paper. IEEE Instrumentation & Measurement Magazine. 27(6). 11–16. 1 indexed citations
4.
Tsai, Sam S., BoRui Wu, Jialiang Wang, et al.. (2024). ControlRoom3D: Room Generation Using Semantic Proxy Rooms. 6201–6210. 5 indexed citations
5.
Wu, BoRui, Xiaoyan Wang, Luxin Zhang, et al.. (2024). AVID: Any-Length Video Inpainting with Diffusion Model. 7162–7172. 7 indexed citations
6.
Li, Chaojian, Kyungmin Kim, BoRui Wu, et al.. (2023). An Investigation on Hardware-Aware Vision Transformer Scaling. ACM Transactions on Embedded Computing Systems. 23(3). 1–19. 2 indexed citations
7.
Li, Yu-Jhe, Xiaoliang Dai, Chih‐Yao Ma, et al.. (2022). Cross-Domain Adaptive Teacher for Object Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 7571–7580. 139 indexed citations breakdown →
8.
Kim, Kyungmin, BoRui Wu, Xiaoliang Dai, et al.. (2021). Rethinking the Self-Attention in Vision Transformers. 3065–3069. 34 indexed citations
9.
Wu, BoRui, et al.. (2021). Data-Efficient Language-Supervised Zero-Shot Learning with Self-Distillation. 3113–3118. 16 indexed citations
10.
Wu, BoRui, Chenfeng Xu, Xiaoliang Dai, et al.. (2021). Visual Transformers: Where Do Transformers Really Belong in Vision Models?. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 579–589. 48 indexed citations
11.
Xu, Chenfeng, BoRui Wu, Wei Zhan, et al.. (2021). You Only Group Once: Efficient Point-Cloud Processing with Token Representation and Relation Inference Module. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 4589–4596. 9 indexed citations
12.
Wan, Alvin, Xiaoliang Dai, Peizhao Zhang, et al.. (2020). FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions. 12962–12971. 168 indexed citations
13.
Marin, Dmitrii, Zijian He, Péter Vajda, et al.. (2019). Efficient Segmentation: Learning Downsampling Near Semantic Boundaries. 2131–2141. 59 indexed citations
14.
Han, Song, Jeff Pool, Sharan Narang, et al.. (2016). DSD: Dense-Sparse-Dense Training for Deep Neural Networks. arXiv (Cornell University). 12 indexed citations
15.
Vajda, Péter, David M. Chen, Sam S. Tsai, et al.. (2013). EigenNews. 463–464. 1 indexed citations
16.
Vajda, Péter, Ivan Ivanov, Lutz Goldmann, Jong‐Seok Lee, & Touradj Ebrahimi. (2010). 3D object duplicate detection for video retrieval. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–4. 1 indexed citations
17.
Vajda, Péter, Ivan Ivanov, Lutz Goldmann, Jong‐Seok Lee, & Touradj Ebrahimi. (2010). Robust Duplicate Detection of 2D and 3D Objects. RePEc: Research Papers in Economics. 1(3). 19–40. 1 indexed citations
18.
Vajda, Péter, Ivan Ivanov, Jong‐Seok Lee, Lutz Goldmann, & Touradj Ebrahimi. (2010). Propagation of geotags based on object duplicate detection. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7798. 77980S–77980S. 1 indexed citations
19.
Vajda, Péter, et al.. (2007). Hungarian wordnet and representation of verbal event structure. Acta Cybernetica. 18(2). 315–328. 1 indexed citations
20.
Trón, Viktor, et al.. (2006). Morphdb.hu: Hungarian lexical database and morphological grammar. Language Resources and Evaluation. 1670–1673. 21 indexed citations

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.

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