Deva Ramanan
Impact in
- Computer Vision and Pattern Recognition top 0.01%
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Advanced Vision and Imaging
- Human-Computer Interaction top 0.05%
Papers in
-
- Human Pose and Action Recognition 61
- Video Surveillance and Tracking Methods 45
- Advanced Image and Video Retrieval Techniques 43
- Advanced Neural Network Applications 39
- Advanced Vision and Imaging 36
- Multimodal Machine Learning Applications 22
-
- Domain Adaptation and Few-Shot Learning 25
- Anomaly Detection Techniques and Applications 23
- Co-authors
- James H. Hays (7 shared papers)Piotr Dollár (2 shared papers)C. Lawrence Zitnick (2 shared papers)Tsung-Yi Lin (1 shared paper)Serge Belongie (1 shared paper)Pietro Perona (1 shared paper)Michael Maire (1 shared paper)David McAllester (5 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (7 papers)International Journal of Computer Vision (5 papers)Communications of the ACM (2 papers)IEEE Robotics and Automation Letters (2 papers)Lecture notes in computer science (18 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Deva Ramanan
189 papers receiving 57.5k citations
Deva Ramanan's Hit Papers
Peers
Comparison fields: 5 of 212
- Computer Vision and Pattern Recognition 47.6k
- Human-Computer Interaction 2.9k
- Artificial Intelligence 15.7k
- Media Technology 3.5k
- Computer Graphics and Computer-Aided Design 1.1k
Countries citing papers authored by Deva Ramanan
This map shows the geographic impact of Deva Ramanan'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 Deva Ramanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deva Ramanan more than expected).
Fields of papers citing papers by Deva Ramanan
This network shows the impact of papers produced by Deva Ramanan. 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 Deva Ramanan. The network helps show where Deva Ramanan may publish in the future.
Co-authors
The 25 scholars most cited alongside Deva Ramanan, 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 199 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Microsoft COCO: Common Objects in Context Hit paper breakdown → | 2014 | 30682 |
| 2 | Object Detection with Discriminatively Trained Part-Based Models Hit paper breakdown → | 2009 | 7784 |
| 3 | A discriminatively trained, multiscale, deformable part model Hit paper breakdown → | 2008 | 2259 |
| 4 | Face detection, pose estimation, and landmark localization in the wild Hit paper breakdown → | 2012 | 1693 |
| 5 | Argoverse: 3D Tracking and Forecasting With Rich Maps Hit paper breakdown → | 2019 | 1078 |
| 6 | Articulated pose estimation with flexible mixtures-of-parts Hit paper breakdown → | 2011 | 829 |
| 7 | Globally-optimal greedy algorithms for tracking a variable number of objects Hit paper breakdown → | 2011 | 644 |
| 8 | Articulated Human Detection with Flexible Mixtures of Parts Hit paper breakdown → | 2012 | 641 |
| 9 | Depth-supervised NeRF: Fewer Views and Faster Training for Free Hit paper breakdown → | 2022 | 599 |
| 10 | Finding Tiny Faces Hit paper breakdown → | 2017 | 573 |
| 11 | Detecting activities of daily living in first-person camera views Hit paper breakdown → | 2012 | 551 |
| 12 | A large-scale benchmark dataset for event recognition in surveillance video Hit paper breakdown → | 2011 | 551 |
| 13 | 3D Human Pose Estimation = 2D Pose Estimation + Matching Hit paper breakdown → | 2017 | 417 |
| 14 | Need for Speed: A Benchmark for Higher Frame Rate Object Tracking Hit paper breakdown → | 2017 | 404 |
| 15 | Efficiently Scaling up Crowdsourced Video Annotation Hit paper breakdown → | 2012 | 369 |
| 16 | ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification Hit paper breakdown → | 2017 | 368 |
| 17 | 2007 | 335 | |
| 18 | 2015 | 292 | |
| 19 | Mega-NeRF: Scalable Construction of Large-Scale NeRFs for Virtual Fly- Throughs Hit paper breakdown → | 2022 | 280 |
| 20 | Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis Hit paper breakdown → | 2024 | 275 |
About Deva Ramanan
Deva Ramanan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Graphics and Computer-Aided Design, Human-Computer Interaction and Computational Mechanics, having authored 199 papers that have together received 59.3k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (61 papers), Video Surveillance and Tracking Methods (45 papers), Advanced Image and Video Retrieval Techniques (43 papers), Advanced Neural Network Applications (39 papers), Advanced Vision and Imaging (36 papers), Domain Adaptation and Few-Shot Learning (25 papers), Anomaly Detection Techniques and Applications (23 papers) and Multimodal Machine Learning Applications (22 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (47.6k citations), Human-Computer Interaction (2.9k citations), Artificial Intelligence (15.7k citations), Media Technology (3.5k citations) and Computer Graphics and Computer-Aided Design (1.1k citations). Deva Ramanan has collaborated with scholars based in United States, Germany and France. Frequent co-authors include James H. Hays, Piotr Dollár, C. Lawrence Zitnick, Tsung-Yi Lin, Serge Belongie, Pietro Perona, Michael Maire, David McAllester, Pedro F. Felzenszwalb and Ross Girshick. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, Communications of the ACM, IEEE Robotics and Automation Letters and Lecture notes in computer science.
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.