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 99
- Advanced Image and Video Retrieval Techniques 95
- Advanced Vision and Imaging 84
- Human Pose and Action Recognition 50
- Medical Image Segmentation Techniques 49
- Multimodal Machine Learning Applications 38
- Image Retrieval and Classification Techniques 37
-
- Domain Adaptation and Few-Shot Learning 63
- Co-authors
- Liang-Chieh Chen (11 shared papers)George Papandreou (7 shared papers)Kevin Murphy (2 shared papers)Iasonas Kokkinos (7 shared papers)Song Chun Zhu (8 shared papers)Anand Rangarajan (8 shared papers)Lingxi Xie (21 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)Biological Cybernetics (6 papers)IEEE Transactions on Image Processing (5 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Alan Yuille
469 papers receiving 45.2k citations
Alan Yuille's Hit Papers
Peers
Comparison fields: 5 of 215
- Computer Vision and Pattern Recognition 31.6k
- Media Technology 5.4k
- Artificial Intelligence 12.9k
- Computer Graphics and Computer-Aided Design 1.0k
- Human-Computer Interaction 1.2k
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 491 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 | 14741 |
| 2 | Region competition: unifying snakes, region growing, and Bayes/MDL for multiband image segmentation Hit paper breakdown → | 1996 | 1291 |
| 3 | Attention to Scale: Scale-Aware Semantic Image Segmentation Hit paper breakdown → | 2016 | 957 |
| 4 | Active vision Hit paper breakdown → | 1993 | 937 |
| 5 | The Secrets of Salient Object Segmentation Hit paper breakdown → | 2014 | 932 |
| 6 | Feature extraction from faces using deformable templates Hit paper breakdown → | 1992 | 910 |
| 7 | The Role of Context for Object Detection and Semantic Segmentation in the Wild Hit paper breakdown → | 2014 | 845 |
| 8 | The Concave-Convex Procedure Hit paper breakdown → | 2003 | 805 |
| 9 | DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution Hit paper breakdown → | 2021 | 709 |
| 10 | Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation Hit paper breakdown → | 2019 | 645 |
| 11 | Improving Transferability of Adversarial Examples With Input Diversity Hit paper breakdown → | 2019 | 638 |
| 12 | Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation Hit paper breakdown → | 2015 | 606 |
| 13 | Genetic CNN Hit paper breakdown → | 2017 | 510 |
| 14 | Multi-context Attention for Human Pose Estimation Hit paper breakdown → | 2017 | 473 |
| 15 | Robust Point Matching via Vector Field Consensus Hit paper breakdown → | 2014 | 458 |
| 16 | Detecting and reading text in natural scenes Hit paper breakdown → | 2004 | 445 |
| 17 | Feature Denoising for Improving Adversarial Robustness Hit paper breakdown → | 2019 | 434 |
| 18 | 1986 | 432 | |
| 19 | 1990 | 393 | |
| 20 | TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers Hit paper breakdown → | 2024 | 392 |
About Alan Yuille
Alan Yuille is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Media Technology and Computational Mechanics, having authored 491 papers that have together received 47.1k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (99 papers), Advanced Image and Video Retrieval Techniques (95 papers), Advanced Vision and Imaging (84 papers), Domain Adaptation and Few-Shot Learning (63 papers), Human Pose and Action Recognition (50 papers), Medical Image Segmentation Techniques (49 papers), Multimodal Machine Learning Applications (38 papers) and Image Retrieval and Classification Techniques (37 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (31.6k citations), Media Technology (5.4k citations), Artificial Intelligence (12.9k citations), Computer Graphics and Computer-Aided Design (1.0k citations) and Human-Computer Interaction (1.2k citations). Alan Yuille has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Liang-Chieh Chen, George Papandreou, Kevin Murphy, Iasonas Kokkinos, Song Chun Zhu, Anand Rangarajan, Lingxi Xie, Andrew Blake, James M. Coughlan and Norberto M. Grzywacz. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, Neural Computation, Biological Cybernetics and IEEE Transactions on Image Processing.
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.