David Acuna
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Medical Image Segmentation Techniques
- Media Technology top 5%
- Remote-Sensing Image Classification
Papers in
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- Advanced Neural Network Applications 4
- Visual Attention and Saliency Detection 2
- Multimodal Machine Learning Applications 2
- Medical Image Segmentation Techniques 1
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- Domain Adaptation and Few-Shot Learning 3
- Adversarial Robustness in Machine Learning 1
- Co-authors
- Sanja Fidler (9 shared papers)Varun Jampani (1 shared paper)Towaki Takikawa (1 shared paper)Amlan Kar (4 shared papers)Huan Ling (4 shared papers)Zian Wang (1 shared paper)Daiqing Li (3 shared papers)Mingyu Liu (1 shared paper)
- Journals
- Journal of the American Geriatrics Society (1 paper)Trauma Surgery & Acute Care Open (1 paper)Neural Information Processing Systems (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (1 paper)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
David Acuna
11 papers receiving 869 citations
David Acuna's Hit Papers
Peers
Comparison fields: 5 of 94
- Computer Vision and Pattern Recognition 607
- Media Technology 126
- Ocean Engineering 114
- Environmental Engineering 103
- Artificial Intelligence 206
Countries citing papers authored by David Acuna
This map shows the geographic impact of David Acuna'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 David Acuna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Acuna more than expected).
Fields of papers citing papers by David Acuna
This network shows the impact of papers produced by David Acuna. 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 David Acuna. The network helps show where David Acuna may publish in the future.
Co-authors
The 25 scholars most cited alongside David Acuna, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Gated-SCNN: Gated Shape CNNs for Semantic Segmentation Hit paper breakdown → | 2019 | 465 |
| 2 | 2018 | 256 | |
| 3 | 2019 | 52 | |
| 4 | 2019 | 43 | |
| 5 | 2020 | 22 | |
| 6 | 2022 | 16 | |
| 7 | Variational Amodal Object Completion | 2020 | 15 |
| 8 | 2022 | 10 | |
| 9 | 2023 | 4 | |
| 10 | 2021 | 2 | |
| 11 | 2016 | 1 | |
| 12 | 2026 | 0 | |
| 13 | 2024 | 0 |
About David Acuna
David Acuna is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Internal Medicine and Ocean Engineering, having authored 13 papers that have together received 886 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Visual Attention and Saliency Detection (2 papers), Multimodal Machine Learning Applications (2 papers), Venous Thromboembolism Diagnosis and Management (1 paper), Medical Image Segmentation Techniques (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Remote Sensing and LiDAR Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (607 citations), Media Technology (126 citations), Ocean Engineering (114 citations), Environmental Engineering (103 citations) and Artificial Intelligence (206 citations). David Acuna has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Sanja Fidler, Varun Jampani, Towaki Takikawa, Amlan Kar, Huan Ling, Zian Wang, Daiqing Li, Mingyu Liu, Maria Shugrina and Antonio Torralba. Their work appears in journals such as Journal of the American Geriatrics Society, Trauma Surgery & Acute Care Open, Neural Information Processing Systems, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam).
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.