Noel Codella
Impact in
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Video Analysis and Summarization
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning
- Natural Language Processing Techniques
- Topic Modeling
Papers in
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- Advanced Image and Video Retrieval Techniques 4
- Video Analysis and Summarization 4
- Multimodal Machine Learning Applications 4
- Human Pose and Action Recognition 3
- Advanced Neural Network Applications 2
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- Domain Adaptation and Few-Shot Learning 3
- AI in cancer detection 1
- Machine Learning and Data Classification 1
- Co-authors
- Luowei Zhou (1 shared paper)Yiwu Zhong (1 shared paper)Lu Yuan (1 shared paper)Yin Li (1 shared paper)Xiyang Dai (2 shared papers)Pengchuan Zhang (1 shared paper)Chunyuan Li (1 shared paper)Jianwei Yang (1 shared paper)
- Journals
- TRECVID (2 papers)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)PubMed (1 paper)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Noel Codella
8 papers receiving 325 citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 260
- Artificial Intelligence 188
- Signal Processing 12
- Media Technology 9
- Human-Computer Interaction 5
Countries citing papers authored by Noel Codella
This map shows the geographic impact of Noel Codella'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 Noel Codella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noel Codella more than expected).
Fields of papers citing papers by Noel Codella
This network shows the impact of papers produced by Noel Codella. 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 Noel Codella. The network helps show where Noel Codella may publish in the future.
Co-authors
The 25 scholars most cited alongside Noel Codella, 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 | RegionCLIP: Region-based Language-Image Pretraining Hit paper breakdown → | 2022 | 276 |
| 2 | IBM Research and Columbia University TRECVID-2011 Multimedia Event Detection (MED) System | 2011 | 21 |
| 3 | 2014 | 17 | |
| 4 | IBM Research and Columbia University TRECVID-2012 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), and Semantic Indexing (SIN) Systems | 2012 | 11 |
| 5 | IBM Research and Columbia University TRECVID-2013 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), Surveillance Event Detection (SED), and Semantic Indexing (SIN) Systems. | 2013 | 5 |
| 6 | 2013 | 4 | |
| 7 | 2021 | 2 | |
| 8 | 2016 | 2 | |
| 9 | 2013 | 0 |
About Noel Codella
Noel Codella is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Oncology, Epidemiology and Electrical and Electronic Engineering, having authored 9 papers that have together received 338 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (4 papers), Video Analysis and Summarization (4 papers), Multimodal Machine Learning Applications (4 papers), Human Pose and Action Recognition (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Advanced Neural Network Applications (2 papers), AI in cancer detection (1 paper) and Machine Learning and Data Classification (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (260 citations), Artificial Intelligence (188 citations), Signal Processing (12 citations), Media Technology (9 citations) and Human-Computer Interaction (5 citations). Noel Codella has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Luowei Zhou, Yiwu Zhong, Lu Yuan, Yin Li, Xiyang Dai, Pengchuan Zhang, Chunyuan Li, Jianwei Yang, Jianfeng Gao and John R. Smith. Their work appears in journals such as TRECVID, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and PubMed.
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.