Alan Yuille
Impact in
- Computer Vision and Pattern Recognition top 0.01%
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Medical Image Segmentation Techniques
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
- Media Technology top 0.01%
Papers in
-
- Advanced Neural Network Applications 136
- Advanced Image and Video Retrieval Techniques 110
- Advanced Vision and Imaging 104
- Medical Image Segmentation Techniques 64
- Human Pose and Action Recognition 57
- Multimodal Machine Learning Applications 50
-
- Domain Adaptation and Few-Shot Learning 81
- Co-authors
- Liang-Chieh Chen (14 shared papers)Kevin Murphy (3 shared papers)George Papandreou (8 shared papers)Iasonas Kokkinos (7 shared papers)Song Chun Zhu (8 shared papers)Lingxi Xie (29 shared papers)Anand Rangarajan (9 shared papers)Andrew Blake (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (20 papers)International Journal of Computer Vision (18 papers)Neural Computation (12 papers)Lecture notes in computer science (81 papers)Biological Cybernetics (6 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Alan Yuille
568 papers receiving 54.9k citations
Alan Yuille's Hit Papers
Peers
Comparison fields: 5 of 216
- Computer Vision and Pattern Recognition 38.9k
- Media Technology 6.1k
- Artificial Intelligence 16.5k
- Computer Graphics and Computer-Aided Design 1.3k
- Radiology, Nuclear Medicine and Imaging 5.1k
Countries citing papers authored by Alan Yuille
This map shows the geographic impact of Alan Yuille'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 Alan Yuille with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan Yuille more than expected).
Fields of papers citing papers by Alan Yuille
This network shows the impact of papers produced by Alan Yuille. 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 Alan Yuille. The network helps show where Alan Yuille may publish in the future.
Co-authors
The 25 scholars most cited alongside Alan Yuille, 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 598 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Hit paper breakdown → | 2017 | 15764 |
| 2 | Region competition: unifying snakes, region growing, and Bayes/MDL for multiband image segmentation Hit paper breakdown → | 1996 | 1502 |
| 3 | Progressive Neural Architecture Search Hit paper breakdown → | 2018 | 1182 |
| 4 | Active vision Hit paper breakdown → | 1993 | 1129 |
| 5 | Attention to Scale: Scale-Aware Semantic Image Segmentation Hit paper breakdown → | 2016 | 1058 |
| 6 | Feature extraction from faces using deformable templates Hit paper breakdown → | 1992 | 1053 |
| 7 | The Secrets of Salient Object Segmentation Hit paper breakdown → | 2014 | 1003 |
| 8 | The Role of Context for Object Detection and Semantic Segmentation in the Wild Hit paper breakdown → | 2014 | 946 |
| 9 | The Concave-Convex Procedure Hit paper breakdown → | 2003 | 859 |
| 10 | DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution Hit paper breakdown → | 2021 | 746 |
| 11 | Improving Transferability of Adversarial Examples With Input Diversity Hit paper breakdown → | 2019 | 712 |
| 12 | Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation Hit paper breakdown → | 2019 | 711 |
| 13 | Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation Hit paper breakdown → | 2015 | 701 |
| 14 | Genetic CNN Hit paper breakdown → | 2017 | 578 |
| 15 | Multi-context Attention for Human Pose Estimation Hit paper breakdown → | 2017 | 530 |
| 16 | Detecting and reading text in natural scenes Hit paper breakdown → | 2004 | 501 |
| 17 | 1986 | 499 | |
| 18 | Feature Denoising for Improving Adversarial Robustness Hit paper breakdown → | 2019 | 482 |
| 19 | Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation Hit paper breakdown → | 2020 | 473 |
| 20 | Robust Point Matching via Vector Field Consensus Hit paper breakdown → | 2014 | 470 |
About Alan Yuille
Alan Yuille is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Media Technology, having authored 598 papers that have together received 57.2k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (136 papers), Advanced Image and Video Retrieval Techniques (110 papers), Advanced Vision and Imaging (104 papers), Domain Adaptation and Few-Shot Learning (81 papers), Medical Image Segmentation Techniques (64 papers), Human Pose and Action Recognition (57 papers), Multimodal Machine Learning Applications (50 papers) and Visual perception and processing mechanisms (43 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (38.9k citations), Media Technology (6.1k citations), Artificial Intelligence (16.5k citations), Computer Graphics and Computer-Aided Design (1.3k citations) and Radiology, Nuclear Medicine and Imaging (5.1k citations). Alan Yuille has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Liang-Chieh Chen, Kevin Murphy, George Papandreou, Iasonas Kokkinos, Song Chun Zhu, Lingxi Xie, Anand Rangarajan, Andrew Blake, James M. Coughlan and Siyuan Qiao. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, Neural Computation, Lecture notes in computer science and Biological Cybernetics.
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.