Lukas Cavigelli

2.9k total citations
46 papers, 1.4k citations indexed

About

Lukas Cavigelli is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Lukas Cavigelli has authored 46 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 19 papers in Electrical and Electronic Engineering and 11 papers in Artificial Intelligence. Recurrent topics in Lukas Cavigelli's work include Advanced Neural Network Applications (15 papers), Advanced Memory and Neural Computing (11 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Lukas Cavigelli is often cited by papers focused on Advanced Neural Network Applications (15 papers), Advanced Memory and Neural Computing (11 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Lukas Cavigelli collaborates with scholars based in Switzerland, Italy and United States. Lukas Cavigelli's co-authors include Luca Benini, Michele Magno, Renzo Andri, Xiaying Wang, Davide Rossi, Michael Hersche, Nobuaki Kobayashi, Thorir Mar Ingolfsson, Christoph Mayer and Abbas Rahimi and has published in prestigious journals such as IEEE Transactions on Image Processing, Sensors and IEEE Transactions on Computers.

In The Last Decade

Lukas Cavigelli

46 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lukas Cavigelli Switzerland 17 664 619 307 269 120 46 1.4k
Minhao Yang Switzerland 18 984 1.5× 251 0.4× 307 1.0× 285 1.1× 51 0.4× 41 1.5k
Fei Qiao China 22 1.0k 1.6× 955 1.5× 349 1.1× 97 0.4× 90 0.8× 134 2.4k
Jun Zhou China 18 491 0.7× 242 0.4× 204 0.7× 469 1.7× 88 0.7× 137 1.4k
Francesco Conti Italy 24 999 1.5× 595 1.0× 405 1.3× 157 0.6× 372 3.1× 102 2.0k
César Torres-Huitzil Mexico 15 371 0.6× 263 0.4× 159 0.5× 106 0.4× 68 0.6× 82 737
Zhi Yang China 20 538 0.8× 330 0.5× 217 0.7× 719 2.7× 77 0.6× 90 1.8k
Guangshe Zhao China 20 487 0.7× 130 0.2× 418 1.4× 277 1.0× 58 0.5× 52 1.2k
Sachin S. Talathi United States 16 196 0.3× 322 0.5× 244 0.8× 344 1.3× 54 0.5× 45 964
Alexander Andreopoulos United States 13 1.1k 1.6× 601 1.0× 536 1.7× 524 1.9× 24 0.2× 17 1.8k
G. Jiménez Spain 20 925 1.4× 120 0.2× 177 0.6× 440 1.6× 83 0.7× 90 1.3k

Countries citing papers authored by Lukas Cavigelli

Since Specialization
Citations

This map shows the geographic impact of Lukas Cavigelli'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 Lukas Cavigelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukas Cavigelli more than expected).

Fields of papers citing papers by Lukas Cavigelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lukas Cavigelli. 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 Lukas Cavigelli. The network helps show where Lukas Cavigelli may publish in the future.

Co-authorship network of co-authors of Lukas Cavigelli

This figure shows the co-authorship network connecting the top 25 collaborators of Lukas Cavigelli. A scholar is included among the top collaborators of Lukas Cavigelli 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 Lukas Cavigelli. Lukas Cavigelli 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.
Cavigelli, Lukas, et al.. (2024). On-Device Domain Learning for Keyword Spotting on Low-Power Extreme Edge Embedded Systems. Lirias (KU Leuven). 6–10. 6 indexed citations
2.
Cavigelli, Lukas, et al.. (2022). Towards On-device Domain Adaptation for Noise-Robust Keyword Spotting. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 82–85. 4 indexed citations
3.
Cavigelli, Lukas, et al.. (2022). Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks. IEEE Transactions on Circuits and Systems I Regular Papers. 69(5). 2002–2012. 15 indexed citations
4.
Andri, Renzo, Geethan Karunaratne, Lukas Cavigelli, & Luca Benini. (2021). ChewBaccaNN: A flexible 223 TOPS/W BNN accelerator. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 10 indexed citations
5.
Conti, Francesco, et al.. (2021). Vau Da Muntanialas: Energy-Efficient Multi-Die Scalable Acceleration of RNN Inference. IEEE Transactions on Circuits and Systems I Regular Papers. 69(1). 244–257. 6 indexed citations
6.
Cavigelli, Lukas & Luca Benini. (2020). CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 20 indexed citations
7.
Ingolfsson, Thorir Mar, Michael Hersche, Xiaying Wang, et al.. (2020). EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine Interfaces. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 181 indexed citations
8.
Wang, Xiaying, Michele Magno, Lukas Cavigelli, & Luca Benini. (2020). FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things. IEEE Internet of Things Journal. 7(5). 4403–4417. 101 indexed citations
9.
Cavigelli, Lukas & Luca Benini. (2019). Extended Bit-Plane Compression for Convolutional Neural Network Accelerators. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 9 indexed citations
10.
Burrello, Alessio, Lukas Cavigelli, Kaspar Schindler, Luca Benini, & Abbas Rahimi. (2019). Laelaps: An Energy-Efficient Seizure Detection Algorithm from Long-term Human iEEG Recordings without False Alarms. Repository for Publications and Research Data (ETH Zurich). 752–757. 69 indexed citations
11.
Andri, Renzo, Lukas Cavigelli, Davide Rossi, & Luca Benini. (2019). Hyperdrive: A Multi-Chip Systolically Scalable Binary-Weight CNN Inference Engine. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 15 indexed citations
12.
Cavigelli, Lukas, et al.. (2019). EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 23 indexed citations
13.
14.
Agustsson, Eirikur, Fabian Mentzer, Michael Tschannen, et al.. (2017). Soft-to-Hard Vector Quantization for End-to-End Learned Compression of Images and Neural Networks.. arXiv (Cornell University). 10 indexed citations
15.
Agustsson, Eirikur, Fabian Mentzer, Michael Tschannen, et al.. (2017). Soft-to-hard vector quantization for end-to-end learning compressible representations. Lirias (KU Leuven). 30. 1141–1151. 77 indexed citations
16.
Cavigelli, Lukas, et al.. (2017). CAS-CNN: A deep convolutional neural network for image compression artifact suppression. Repository for Publications and Research Data (ETH Zurich). 77 indexed citations
17.
Schaffner, Michael, et al.. (2017). StoneNode: A low-power sensor device for induced rockfall experiments. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–6. 12 indexed citations
18.
Magno, Michele, Davide Brunelli, Lukas Sigrist, et al.. (2016). InfiniTime: Multi-sensor wearable bracelet with human body harvesting. Sustainable Computing Informatics and Systems. 11. 38–49. 67 indexed citations
19.
Cavigelli, Lukas, et al.. (2015). Origami. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 199–204. 114 indexed citations
20.
Cavigelli, Lukas, Michele Magno, & Luca Benini. (2015). Accelerating real-time embedded scene labeling with convolutional networks. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–6. 74 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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