N. Siddharth
Impact in
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
- Generative Adversarial Networks and Image Synthesis
- Context-Aware Activity Recognition Systems
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications
- Topic Modeling
Papers in
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- Generative Adversarial Networks and Image Synthesis 5
- Multimodal Machine Learning Applications 4
- Human Pose and Action Recognition 2
- Advanced Image and Video Retrieval Techniques 2
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- Natural Language Processing Techniques 3
- Adversarial Robustness in Machine Learning 2
- Topic Modeling 2
- Machine Learning and Data Classification 2
- Co-authors
- Jeffrey Mark Siskind (4 shared papers)Andrei Barbu (4 shared papers)Haonan Yu (1 shared paper)Yuewei Lin (1 shared paper)Sven Dickinson (1 shared paper)Song Wang (1 shared paper)Brooks Paige (5 shared papers)Jan-Willem van de Meent (4 shared papers)
- Journals
- UCL Discovery (University College London) (1 paper)Edinburgh Research Explorer (University of Edinburgh) (1 paper)Apollo (University of Cambridge) (1 paper)Edinburgh Research Explorer (1 paper)International Conference on Learning Representations (1 paper)
- Partner nations
- United StatesUnited KingdomMexico
In The Last Decade
N. Siddharth
10 papers receiving 196 citations
Peers
Comparison fields: 5 of 41
- Computer Vision and Pattern Recognition 176
- Artificial Intelligence 162
- Signal Processing 17
- Human-Computer Interaction 7
- Biomedical Engineering 21
Countries citing papers authored by N. Siddharth
This map shows the geographic impact of N. Siddharth'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 N. Siddharth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Siddharth more than expected).
Fields of papers citing papers by N. Siddharth
This network shows the impact of papers produced by N. Siddharth. 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 N. Siddharth. The network helps show where N. Siddharth may publish in the future.
Co-authors
The 25 scholars most cited alongside N. Siddharth, 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 | 2013 | 126 | |
| 2 | 2018 | 37 | |
| 3 | Structured Disentangled Representations | 2019 | 24 |
| 4 | 2010 | 16 | |
| 5 | Learning Disentangled Representations in Deep Generative Models | 2017 | 5 |
| 6 | Disentangling Disentanglement | 2018 | 3 |
| 7 | 2011 | 3 | |
| 8 | Hierarchical Disentangled Representations | 2018 | 2 |
| 9 | Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models | 2021 | 1 |
| 10 | 2023 | 1 | |
| 11 | Seeing Unseeability to See the Unseeable | 2012 | 1 |
| 12 | 2024 | 0 | |
| 13 | DGPose: Disentangled Semi-supervised Deep Generative Models for Human Body Analysis. | 2018 | 0 |
About N. Siddharth
N. Siddharth is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Statistical and Nonlinear Physics, Computational Mechanics and Aerospace Engineering, having authored 13 papers that have together received 219 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (5 papers), Multimodal Machine Learning Applications (4 papers), Natural Language Processing Techniques (3 papers), Adversarial Robustness in Machine Learning (2 papers), Topic Modeling (2 papers), Human Pose and Action Recognition (2 papers), Machine Learning and Data Classification (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (176 citations), Artificial Intelligence (162 citations), Signal Processing (17 citations), Human-Computer Interaction (7 citations) and Biomedical Engineering (21 citations). N. Siddharth has collaborated with scholars based in United States, United Kingdom and Mexico. Frequent co-authors include Jeffrey Mark Siskind, Andrei Barbu, Haonan Yu, Yuewei Lin, Sven Dickinson, Song Wang, Brooks Paige, Jan-Willem van de Meent, Philip H. S. Torr and Pushmeet Kohli. Their work appears in journals such as UCL Discovery (University College London), Edinburgh Research Explorer (University of Edinburgh), Apollo (University of Cambridge), Edinburgh Research Explorer and International Conference on Learning Representations.
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.