Piotr Dollár
Piotr Dollár publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, on topics such as Advanced Neural Network Applications, Advanced Image and Video Retrieval Techniques and Domain Adaptation and Few-Shot Learning.
- World rank
- #12,180 of 7,710,434 ranked researchers
- Rank in Israel
- #153 of 38,292
- Works
- 107
- Citations
- 211k
- Citations per work
- 1973.7
What does Piotr Dollár research?
Piotr Dollár's work is mostly in Computer Science (89%), Engineering (2%), Neuroscience (1%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences9891.5%
- Computer Science9689.3%
- Engineering22.2%
- Everything else65.9%
- Life Sciences11.3%
- Neuroscience11.3%
- Social Sciences11.3%
- Psychology11.3%
- 1Computer Vision and Pattern Recognition63% of their works
- 2Artificial Intelligence24% of their works
- 3Signal Processing2% of their works
- 4Media Technology2% of their works
- 5Endocrine and Autonomic Systems1% of their works
- 6Social Psychology1% of their works
Research topics
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Domain Adaptation and Few-Shot Learning
- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Machine Learning and Data Classification
- Adversarial Robustness in Machine Learning
Which keywords describe Piotr Dollár's research?
The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Image Recognition, Object Detection, Meta-Learning, Feature Matching, Local Descriptors and Domain Adaptation.
- Robustness
- Noisy Labels
- Visual Tracking
- Pose Estimation
- Visual Question Answering
- Neural Networks
- Domain Adaptation
- Feature Matching
- Object Detection
- Convolutional Neural Networks
- Deep Learning
- Image Recognition
- Meta-Learning
- Local Descriptors
- Transfer Learning
- Image Captioning
- Action Recognition
- Object Tracking
- Hyperparameter Optimization
- Adversarial Examples
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 20 words, with their numbers
- Deep Learning1696 topics
- Convolutional Neural Networks722 topics
- Image Recognition611 topic
- Object Detection611 topic
- Meta-Learning542 topics
- Feature Matching481 topic
- Local Descriptors481 topic
- Domain Adaptation451 topic
- Transfer Learning451 topic
- Neural Networks342 topics
- Image Captioning261 topic
- Visual Question Answering261 topic
- Action Recognition151 topic
- Pose Estimation151 topic
- Object Tracking111 topic
- Visual Tracking111 topic
- Hyperparameter Optimization91 topic
- Noisy Labels91 topic
- Adversarial Examples81 topic
- Robustness81 topic
Where does Piotr Dollár work?
Piotr Dollár's main affiliation in the publication record is Meta (Israel), Israel.
How many publications and citations does Piotr Dollár have?
OpenAlex counts 107 works and 211,183 citations for Piotr Dollár, an h-index of 65, ranking #12,180 of 7,710,434 researchers worldwide on the quality 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 have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
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