Piotr Doll'ar
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Piotr Doll'arcomputer-science Degrees
Computer Science
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Artificial Intelligence
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Computer Science
Piotr Doll'ar's Degrees
- PhD Computer Science University of California, Berkeley
- Masters Computer Science University of California, Berkeley
- Bachelors Computer Science University of California, Berkeley
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(Suggest an Edit or Addition)Piotr Doll'ar's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Microsoft COCO: Common Objects in Context (2014) (26617)
- Mask R-CNN (2017) (14940)
- Feature Pyramid Networks for Object Detection (2016) (13673)
- Focal Loss for Dense Object Detection (2017) (13618)
- Aggregated Residual Transformations for Deep Neural Networks (2016) (7323)
- Focal Loss for Dense Object Detection (2017) (3951)
- Mask R-CNN (2017) (3018)
- Behavior recognition via sparse spatio-temporal features (2005) (2791)
- Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour (2017) (2753)
- Edge Boxes: Locating Object Proposals from Edges (2014) (2613)
- Microsoft COCO Captions: Data Collection and Evaluation Server (2015) (1521)
- Pedestrian detection: A benchmark (2009) (1304)
- Integral Channel Features (2009) (1299)
- From captions to visual concepts and back (2014) (1207)
- Structured Forests for Fast Edge Detection (2013) (920)
- Designing Network Design Spaces (2020) (843)
- Learning to Refine Object Segments (2016) (805)
- Fast Edge Detection Using Structured Forests (2014) (792)
- Panoptic Segmentation (2018) (774)
- Rethinking ImageNet Pre-Training (2018) (760)
- Robust Face Landmark Estimation under Occlusion (2013) (729)
- Panoptic Feature Pyramid Networks (2019) (728)
- Learning to Segment Object Candidates (2015) (727)
- The Fastest Pedestrian Detector in the West (2010) (684)
- What Makes for Effective Detection Proposals? (2015) (684)
- LVIS: A Dataset for Large Vocabulary Instance Segmentation (2019) (579)
- Cascaded pose regression (2010) (564)
- Supervised Learning of Edges and Object Boundaries (2006) (490)
- Learning Features by Watching Objects Move (2016) (467)
- Detecting and Recognizing Human-Object Interactions (2017) (426)
- Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection (2013) (404)
- Local Decorrelation For Improved Pedestrian Detection (2014) (377)
- Data Distillation: Towards Omni-Supervised Learning (2017) (344)
- Early Convolutions Help Transformers See Better (2021) (319)
- Learning to Segment Every Thing (2017) (261)
- Crosstalk Cascades for Frame-Rate Pedestrian Detection (2012) (256)
- TensorMask: A Foundation for Dense Object Segmentation (2019) (245)
- Feature Mining for Image Classification (2007) (231)
- Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models (2008) (207)
- A MultiPath Network for Object Detection (2016) (198)
- Metric Learning with Adaptive Density Discrimination (2015) (184)
- Crystal and magnetic structure of ferromagnetic superconducting RuSr 2 GdCu 2 O 8 (2000) (178)
- Social behavior recognition in continuous video (2012) (159)
- Multiple Component Learning for Object Detection (2008) (157)
- Exploring Weak Stabilization for Motion Feature Extraction (2013) (139)
- Quickly Boosting Decision Trees - Pruning Underachieving Features Early (2013) (134)
- Semantic Amodal Segmentation (2015) (107)
- On Network Design Spaces for Visual Recognition (2019) (96)
- Unsupervised Learning of Edges (2015) (90)
- Non-isometric manifold learning: analysis and an algorithm (2007) (79)
- Benchmarking Detection Transfer Learning with Vision Transformers (2021) (60)
- Learning to Traverse Image Manifolds (2006) (57)
- Local Decorrelation For Improved Detection (2014) (51)
- Fast and Accurate Model Scaling (2021) (50)
- Monitoring Animal Behavior in the Smart Vivarium (2004) (47)
- Multiple Instance Learning with Manifold Bags (2011) (46)
- Task Specific Local Region Matching (2007) (36)
- Merging Pose Estimates Across Space and Time (2013) (30)
- Segment Anything (2023) (20)
- Detecting Objects Using Deformation Dictionaries (2014) (19)
- Integral Channel Features - Addendum (2009) (7)
- Learning to Segments Objects Candidates (2015) (5)
- Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization (2018) (2)
- Layered Logic Classifiers: Exploring the 'And' and 'Or' Relations (2014) (1)
- Crystal and magnetic structure of ferromagnetic superconducting RuSr 2 GdCu (2000) (1)
- Learning from local image regions (2007) (1)
- Window scoring X X 0 . 3 ? ? ? ? ? ? ? ? (2018) (0)
- Merging Pose Estimates Across Space and Time : Appendices (2013) (0)
- Appreciation to IJCV Reviewers (2012) (0)
- Disentangled Memory Retrieval Towards Math Word Problem Generation (2022) (0)
- Simulating Information Growth & Diffusion in Agent Societies (2005) (0)
- Real-time weed / crop discrimination through fast direct image registration (2012) (0)
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