---
title: "Piotr Dollar — all works — Elamur Research"
description: "All 36 works of Piotr Dollar in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/piotr-dollar/works/"
---
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# Piotr Dollar — all works

36 works · [← Piotr Dollar](https://md.research.elamur.ai/free/en/authors/piotr-dollar/)

1. **[Mask R-CNN ↗](https://doi.org/10.1109/iccv.2017.322) IEEE International Conference on Computer Vision (ICCV) · no summary yet**Kaiming He et al.*2017 · 29,617 citations*
2. **[Aggregated Residual Transformations for Deep Neural Networks ↗](https://doi.org/10.1109/cvpr.2017.634) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Saining Xie et al.*2017 · 12,133 citations*
3. [**Microsoft COCO: Common Objects in Context arXiv:1405.0312**Tsung-Yi Lin, Michael Maire, Serge Belongie, et al.*2014 · 5,131 citations*](https://md.research.elamur.ai/free/en/papers/lin-2014-microsoft-coco-common-objects-context/)
4. **[Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour ↗](https://arxiv.org/abs/1706.02677) arXiv:1706.02677 · no summary yet**Priya Goyal et al.*2017 · 2,756 citations*
5. **[Designing Network Design Spaces](https://md.research.elamur.ai/free/en/papers/radosavovic-2020-designing-network-design-spaces/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Ilija Radosavovic, Raj Prateek Kosaraju, Ross Girshick, et al.*2020 · 2,040 citations*
6. [**Focal Loss for Dense Object Detection arXiv:1708.02002**Tsung-Yi Lin, Priya Goyal, Ross Girshick, et al.*2017 · 1,995 citations*](https://md.research.elamur.ai/free/en/papers/lin-2017-focal-loss-dense-object-detection/)
7. [**Microsoft COCO Captions: Data Collection and Evaluation Server arXiv:1504.00325**Xinlei Chen, Hao Fang, Tsung-Yi Lin, et al.*2015 · 1,948 citations*](https://md.research.elamur.ai/free/en/papers/chen-2015-microsoft-coco-captions-data-collection/)
8. **[Panoptic Segmentation ↗](https://doi.org/10.1109/cvpr.2019.00963) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Alexander Kirillov et al.*2019 · 1,584 citations*
9. **[From Captions to Visual Concepts and Back](https://md.research.elamur.ai/free/en/papers/fang-2014-captions-visual-concepts-back/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Hao Fang, Saurabh Gupta, Forrest Iandola, et al.*2014 · 1,450 citations*
10. **[Panoptic Feature Pyramid Networks ↗](https://doi.org/10.1109/cvpr.2019.00656) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Alexander Kirillov et al.*2019 · 1,406 citations*
11. **[LVIS: A Dataset for Large Vocabulary Instance Segmentation ↗](https://doi.org/10.1109/cvpr.2019.00550) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Agrim Gupta, Piotr Dollár, Ross Girshick*2019 · 1,333 citations*
12. **[Rethinking ImageNet Pre-Training ↗](https://doi.org/10.1109/iccv.2019.00502) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Kaiming He, Ross Girshick, Piotr Dollár*2019 · 1,089 citations*
13. [**Segment Anything arXiv:2304.02643**Alexander Kirillov, Eric Mintun, Nikhila Ravi, et al.*2023 · 960 citations*](https://md.research.elamur.ai/free/en/papers/kirillov-2023-segment-anything/)
14. [**Feature Pyramid Networks for Object Detection arXiv:1612.03144**Tsung-Yi Lin, Piotr Dollar, Ross Girshick, et al.*2016 · 767 citations*](https://md.research.elamur.ai/free/en/papers/lin-2016-feature-pyramid-networks-object-detection/)
15. **[Detecting and Recognizing Human-Object Interactions ↗](https://doi.org/10.1109/cvpr.2018.00872) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Georgia Gkioxari et al.*2018 · 612 citations*
16. [**Masked Autoencoders Are Scalable Vision Learners arXiv:2111.06377**Kaiming He, Xinlei Chen, Saining Xie, et al.*2021 · 596 citations*](https://md.research.elamur.ai/free/en/papers/he-2021-masked-autoencoders-scalable-vision-learners/)
17. **[Boundary IoU: Improving Object-Centric Image Segmentation Evaluation ↗](https://doi.org/10.1109/cvpr46437.2021.01508) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Bowen Cheng et al.*2021 · 507 citations*
18. **[Learning Features by Watching Objects Move ↗](https://doi.org/10.1109/cvpr.2017.638) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Deepak Pathak et al.*2017 · 457 citations*
19. **[Data Distillation: Towards Omni-Supervised Learning ↗](https://doi.org/10.1109/cvpr.2018.00433) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Ilija Radosavovic et al.*2018 · 441 citations*
20. **[Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection ↗](https://doi.org/10.1109/cvpr.2013.406) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Joseph J. Lim, C. Lawrence Zitnick, Piotr Dollár*2013 · 435 citations*
21. **[SAM 2: Segment Anything in Images and Videos ↗](https://arxiv.org/abs/2408.00714) arXiv (Cornell University) · no summary yet**Nikhila Ravi et al.*2024 · 426 citations*
22. **[TensorMask: A Foundation for Dense Object Segmentation ↗](https://doi.org/10.1109/iccv.2019.00215) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Xinlei Chen et al.*2019 · 389 citations*
23. **[Early Convolutions Help Transformers See Better ↗](https://arxiv.org/abs/2106.14881) arXiv (Cornell University) · no summary yet**Tete Xiao et al.*2021 · 366 citations*
24. **[Learning to Segment Every Thing ↗](https://doi.org/10.1109/cvpr.2018.00445) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Ronghang Hu et al.*2018 · 293 citations*
25. **[A MultiPath Network for Object Detection ↗](https://doi.org/10.5244/c.30.15) British Machine Vision Conference (BMVC) · no summary yet**Sergey Zagoruyko et al.*2016 · 240 citations*
26. **[Semantic Amodal Segmentation ↗](https://doi.org/10.1109/cvpr.2017.320) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Yan Zhu et al.*2015 · 186 citations*
27. **[Exploring Weak Stabilization for Motion Feature Extraction ↗](https://doi.org/10.1109/cvpr.2013.371) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Dennis Park et al.*2013 · 133 citations*
28. **[On Network Design Spaces for Visual Recognition ↗](https://doi.org/10.1109/iccv.2019.00197) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Ilija Radosavovic et al.*2019 · 128 citations*
29. **[Fast and Accurate Model Scaling ↗](https://arxiv.org/abs/2103.06877) arXiv:2103.06877 · no summary yet**Piotr Dollar, Mannat Singh, Ross Girshick*2021 · 122 citations*
30. **[Revisiting Weakly Supervised Pre-Training of Visual Perception Models ↗](https://doi.org/10.1109/cvpr52688.2022.00088) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Mannat Singh et al.*2022 · 105 citations*
31. **[Benchmarking Detection Transfer Learning with Vision Transformers ↗](https://arxiv.org/abs/2111.11429) arXiv (Cornell University) · no summary yet**Yanghao Li et al.*2021 · 86 citations*
32. **[Are Labels Necessary for Neural Architecture Search? ↗](https://doi.org/10.1007/978-3-030-58548-8_46) Lecture notes in computer science · no summary yet**Chenxi Liu et al.*2020 · 71 citations*
33. **[The effectiveness of MAE pre-pretraining for billion-scale pretraining ↗](https://doi.org/10.1109/iccv51070.2023.00505) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Mannat Singh et al.*2023 · 56 citations*
34. **[Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details ↗](https://arxiv.org/abs/2102.01066) arXiv (Cornell University) · no summary yet**Achal Dave et al.*2021 · 5 citations*
35. **[ラベルはニューラルアーキテクチャ探索に必要か?【JST・京大機械翻訳】 ↗](https://openalex.org/W3189522282) Lecture notes in computer science · no summary yet**Liu Chenxi et al.*2020*
36. **[マスクR CNN【Powered by NICT】 ↗](https://openalex.org/W3190493135) IEEE Conference Proceedings · no summary yet**Kaiming He et al.*2017*