Julien Martel

955 total citations
26 papers, 363 citations indexed

About

Julien Martel is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Julien Martel has authored 26 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Media Technology. Recurrent topics in Julien Martel's work include CCD and CMOS Imaging Sensors (10 papers), Advanced Memory and Neural Computing (10 papers) and Image Processing Techniques and Applications (7 papers). Julien Martel is often cited by papers focused on CCD and CMOS Imaging Sensors (10 papers), Advanced Memory and Neural Computing (10 papers) and Image Processing Techniques and Applications (7 papers). Julien Martel collaborates with scholars based in Switzerland, United Kingdom and United States. Julien Martel's co-authors include Gordon Wetzstein, Piotr Dudek, Lorenz K. Müller, Stephen J. Carey, David B. Lindell, Eric R. Chan, Connor Z. Lin, Yulia Sandamirskaya, Jörg Conradt and Matthew Cook and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and IEEE Transactions on Circuits and Systems I Regular Papers.

In The Last Decade

Julien Martel

25 papers receiving 352 citations

Peers

Julien Martel

CVPR

EEE

CGCD

Seung‐Hwan Baek South Korea

Chang-Yeong Kim South Korea

Chenyang Lei Hong Kong

Dikpal Reddy United States

A. Vorozcovs Canada

Christian Reinbacher Austria

Boris Ajdin Germany

D. Colucci United States

M. Höller United States

Yun‐Ta Tsai United States

Seung‐Hwan Baek South Korea

Julien Martel

228 ×1.2

CVPR

66 ×0.5

EEE

47 ×0.7

154 ×3.0

46 ×0.9

CGCD

Citations per year, relative to Julien Martel Julien Martel (= 1×) peers Seung‐Hwan Baek

Countries citing papers authored by Julien Martel

Since Specialization

Citations

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

Fields of papers citing papers by Julien Martel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julien Martel

This figure shows the co-authorship network connecting the top 25 collaborators of Julien Martel. A scholar is included among the top collaborators of Julien Martel 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 Julien Martel. Julien Martel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wetzstein, Gordon, et al.. (2022). Amortized Inference for Heterogeneous Reconstruction in Cryo-EM. PubMed. 35. 13038–13049. 10 indexed citations

Ghosn, Joumana, et al.. (2022). DDXPlus: A New Dataset for Automatic Medical Diagnosis. 31306–31318. 1 indexed citations

Martel, Julien, et al.. (2022). MantissaCam: Learning Snapshot High-dynamic-range Imaging with Perceptually-based In-pixel Irradiance Encoding. 1–12. 6 indexed citations

Nguyen, Cindy M., Julien Martel, & Gordon Wetzstein. (2022). Learning Spatially Varying Pixel Exposures for Motion Deblurring. 1–11. 12 indexed citations

Martel, Julien, et al.. (2021). Acorn. ACM Transactions on Graphics. 40(4). 1–13. 111 indexed citations

Martel, Julien, et al.. (2021). Time-Multiplexed Coded Aperture Imaging: Learned Coded Aperture and Pixel Exposures for Compressive Imaging Systems. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 2672–2682. 15 indexed citations

Müller, Lorenz K., Julien Martel, & Giacomo Indiveri. (2018). Kernelized Synaptic Weight Matrices. Zurich Open Repository and Archive (University of Zurich). 3654–3663. 4 indexed citations

Diehl, Peter U., et al.. (2018). Factorized Computation: What the Neocortex Can Tell Us About the Future of Computing. Frontiers in Computational Neuroscience. 12. 54–54. 1 indexed citations

Martel, Julien, et al.. (2017). Real-Time Depth From Focus on a Programmable Focal Plane Processor. IEEE Transactions on Circuits and Systems I Regular Papers. 65(3). 925–934. 17 indexed citations

10.

Martel, Julien, Lorenz K. Müller, Stephen J. Carey, & Piotr Dudek. (2017). High-speed depth from focus on a programmable vision chip using a focus tunable lens. Research Explorer (The University of Manchester). 1–4. 13 indexed citations

11.

Martel, Julien, et al.. (2017). Live demonstration: Depth from focus on a focal plane processor using a focus tunable liquid lens. Research Explorer (The University of Manchester). 1–1. 1 indexed citations

12.

Martel, Julien, et al.. (2016). A Real-time High Dynamic Range Vision System with Tone Mapping for Automotive Applications. Zurich Open Repository and Archive (University of Zurich). 6 indexed citations

13.

Martel, Julien, Lorenz K. Müller, Stephen J. Carey, & Piotr Dudek. (2016). Parallel HDR tone mapping and auto-focus on a cellular processor array vision chip. Research Explorer (The University of Manchester). 3965. 1430–1433. 14 indexed citations

14.

Martel, Julien, Yulia Sandamirskaya, & Piotr Dudek. (2016). A Demonstration of Tracking using Dynamic Neural Fields on a Programmable Vision Chip. Zurich Open Repository and Archive (University of Zurich). 212–213. 2 indexed citations

15.

Martel, Julien & Yulia Sandamirskaya. (2016). A Neuromorphic Approach for Tracking using Dynamic Neural Fields on a Programmable Vision-chip. Zurich Open Repository and Archive (University of Zurich). 148–154. 5 indexed citations

16.

Martel, Julien & Piotr Dudek. (2016). Vision Chips with In-pixel Processors for High-performance Low-power Embedded Vision Systems. Research Explorer (The University of Manchester). 3 indexed citations

17.

Martel, Julien & Matthew Cook. (2015). A framework of relational networks to build systems with sensors able to perform the joint approximate inference of quantities. Zurich Open Repository and Archive (University of Zurich).

18.

Martel, Julien, et al.. (2015). Toward joint approximate inference of visual quantities on cellular processor arrays. Research Explorer (The University of Manchester). 2061–2064. 10 indexed citations

19.

Martel, Julien, et al.. (2015). Pixel interlacing to trade off the resolution of a cellular processor array against more registers. Research Explorer (The University of Manchester). 1–4. 4 indexed citations

20.

Funke, Jan, Julien Martel, Stephan Gerhard, et al.. (2014). Candidate Sampling for Neuron Reconstruction from Anisotropic Electron Microscopy Volumes. Lecture notes in computer science. 17(Pt 1). 17–24. 9 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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