Rahul Sukthankar
Rahul Sukthankar publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction, on topics such as Multimodal Machine Learning Applications, Human Pose and Action Recognition and Advanced Image and Video Retrieval Techniques.
- World rank
- #9,881 of 1,633,909 ranked researchers
- Rank in United States
- #4,763 of 358,040
- Works
- 49
- Citations
- 1.9k
- Citations per work
- 37.9
What does Rahul Sukthankar research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Computer Vision and Pattern Recognition54% of their works
- 2Artificial Intelligence18% of their works
- 3Human-Computer Interaction6% of their works
- 4Signal Processing4% of their works
- 5Control and Systems Engineering4% of their works
- 6Computational Theory and Mathematics2% of their works
Research topics
- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Anomaly Detection Techniques and Applications
- Video Analysis and Summarization
- Domain Adaptation and Few-Shot Learning
- Machine Learning and Algorithms
Which keywords describe Rahul Sukthankar's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Action Recognition, Image Captioning, Pose Estimation, Visual Question Answering, Feature Matching and Local Descriptors.
- Machine Learning
- Active Learning
- Unsupervised
- Anomaly Detection
- Semi-Supervised Learning
- Local Descriptors
- Visual Question Answering
- Image Captioning
- Neural Networks
- Deep Learning
- Action Recognition
- Pose Estimation
- Feature Matching
- Object Tracking
- Visual Tracking
- Content-Based Retrieval
- Video Summarization
- Domain Adaptation
- Transfer Learning
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 19 words, with their numbers
- Deep Learning256 topics
- Neural Networks92 topics
- Action Recognition61 topic
- Image Captioning61 topic
- Pose Estimation61 topic
- Visual Question Answering61 topic
- Feature Matching41 topic
- Local Descriptors41 topic
- Object Tracking41 topic
- Semi-Supervised Learning42 topics
- Visual Tracking41 topic
- Anomaly Detection31 topic
- Content-Based Retrieval31 topic
- Unsupervised31 topic
- Video Summarization31 topic
- Active Learning21 topic
- Domain Adaptation21 topic
- Machine Learning21 topic
- Transfer Learning21 topic
Where does Rahul Sukthankar work?
Rahul Sukthankar's main affiliation in the publication record is Carnegie Mellon University, United States.
How many publications and citations does Rahul Sukthankar have?
Science Explorer counts 49 works and 1,858 citations for Rahul Sukthankar, ranking #9,881 of 1,633,909 researchers worldwide on the composite score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.