PD

Piotr Dollár

cs.CVcs.LGcs.AIstat.MLaggressionAlgorithmscs.CLcs.DCcs.NEcs.SD

On Valency

published · living versions

Feature Pyramid Networks for Object Detection

with Tsung-Yi Lin, Ross Girshick, Kaiming He, Bharath Hariharan +1

1 version

W_54uujxxkv1 · current

Microsoft COCO: Common Objects in Context

W_a6ff279cv1

Preprints & journals

54 papers in the corpus · 2008–2026

SAM 3D Body: Robust Full-Body Human Mesh Recovery

Xitong Yang, Devansh Kukreja, Don Pinkus et al.

0 citations

2602.15989v12026arXiv

Pushing the Frontier of Audiovisual Perception with Large-Scale Multimodal Correspondence Learning

Apoorv Vyas, Heng-Jui Chang, Cheng-Fu Yang et al.

0 citations

2512.19687v12025arXiv

SAM Audio: Segment Anything in Audio

Bowen Shi, Andros Tjandra, John Hoffman et al.

0 citations

2512.18099v12025arXiv

SAM 3D: 3Dfy Anything in Images

SAM 3D Team: Xingyu Chen, Fu-Jen Chu, Pierre Gleize et al.

4 citations

2511.16624v22025arXiv

SAM 3: Segment Anything with Concepts

Nicolas Carion, Laura Gustafson, Yuan-Ting Hu et al.

25 citations

2511.16719v22025arXiv

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

Jang Hyun Cho, Andrea Madotto, Effrosyni Mavroudi et al.

8 citations

2504.13180v32025arXiv

Perception Encoder: The best visual embeddings are not at the output of the network

Daniel Bolya, Po-Yao Huang, Peize Sun et al.

18 citations

2504.13181v22025arXiv

SAM 2: Segment Anything in Images and Videos

Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu et al.

296 citations

2408.00714v22024arXiv

Segment Anything

Alexander Kirillov, Eric Mintun, Nikhila Ravi et al.

522 citations

2304.02643v12023arXiv

The effectiveness of MAE pre-pretraining for billion-scale pretraining

Mannat Singh, Quentin Duval, Kalyan Vasudev Alwala et al.

54 citations

2303.13496v32023arXiv

Revisiting Weakly Supervised Pre-Training of Visual Perception Models

Mannat Singh, Laura Gustafson, Aaron Adcock et al.

99 citations

2201.08371v22022arXiv

Benchmarking Detection Transfer Learning with Vision Transformers

Yanghao Li, Saining Xie, Xinlei Chen et al.

89 citations

2111.11429v12021arXiv

Masked Autoencoders Are Scalable Vision Learners

Kaiming He, Xinlei Chen, Saining Xie et al.

8,593 citations

2111.06377v32021arXiv

Early Convolutions Help Transformers See Better

Tete Xiao, Mannat Singh, Eric Mintun et al.

548 citations

2106.14881v32021arXiv

Boundary IoU: Improving Object-Centric Image Segmentation Evaluation

Bowen Cheng, Ross Girshick, Piotr Doll'ar et al.

529 citations

2103.16562v12021arXiv

Fast and Accurate Model Scaling

Piotr Doll'ar, Mannat Singh, Ross Girshick

115 citations

2103.06877v12021arXiv

Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details

Achal Dave, Piotr Doll'ar, Deva Ramanan et al.

22 citations

2102.01066v22021arXiv

Designing Network Design Spaces

Ilija Radosavovic, Raj Prateek Kosaraju, Ross Girshick et al.

2,079 citations

2003.13678v12020arXiv

Are Labels Necessary for Neural Architecture Search?

Chenxi Liu, Piotr Doll'ar, Kaiming He et al.

71 citations

2003.12056v22020arXiv

LVIS: A Dataset for Large Vocabulary Instance Segmentation

Agrim Gupta, Piotr Doll'ar, Ross Girshick

1,274 citations

1908.03195v22019arXiv

On Network Design Spaces for Visual Recognition

Ilija Radosavovic, Justin Johnson, Saining Xie et al.

125 citations

1905.13214v12019arXiv

TensorMask: A Foundation for Dense Object Segmentation

Xinlei Chen, Ross Girshick, Kaiming He et al.

416 citations

1903.12174v22019arXiv

Panoptic Feature Pyramid Networks

Alexander Kirillov, Ross Girshick, Kaiming He et al.

49 citations

1901.02446v22019arXiv

Rethinking ImageNet Pre-training

Kaiming He, Ross Girshick, Piotr Doll'ar

1,138 citations

1811.08883v12018arXiv

Focal Loss for Dense Object Detection.

Lin, Tsung-Yi, Goyal, Priya, Girshick, Ross et al.

10,622 citations

300406312022IEEE transactions on pattern analysis and machine intelligence. 2020;42(2):318-327

Mask R-CNN.

He, Kaiming, Gkioxari, Georgia, Dollar, Piotr et al.

3,457 citations

299943312020IEEE transactions on pattern analysis and machine intelligence. 2020;42(2):386-397

Panoptic Segmentation

Alexander Kirillov, Kaiming He, Ross Girshick et al.

1,647 citations

1801.00868v32018arXiv

Data Distillation: Towards Omni-Supervised Learning

Ilija Radosavovic, Piotr Doll'ar, Ross Girshick et al.

431 citations

1712.04440v12017arXiv

Learning to Segment Every Thing

Ronghang Hu, Piotr Doll'ar, Kaiming He et al.

292 citations

1711.10370v22017arXiv

Focal Loss for Dense Object Detection

Tsung-Yi Lin, Priya Goyal, Ross Girshick et al.

30,941 citations

1708.02002v22017arXiv

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Priya Goyal, Piotr Doll'ar, Ross Girshick et al.

2,294 citations

1706.02677v22017arXiv

Detecting and Recognizing Human-Object Interactions

Georgia Gkioxari, Ross Girshick, Piotr Doll'ar et al.

626 citations

1704.07333v32017arXiv

Mask R-CNN

Kaiming He, Georgia Gkioxari, Piotr Doll'ar et al.

406 citations

1703.06870v32017arXiv

Learning Features by Watching Objects Move

Deepak Pathak, Ross Girshick, Piotr Doll'ar et al.

454 citations

1612.06370v22016arXiv

Feature Pyramid Networks for Object Detection

Tsung-Yi Lin, Piotr Doll'ar, Ross Girshick et al.

31,111 citations

1612.03144v22016arXiv

Aggregated Residual Transformations for Deep Neural Networks

Saining Xie, Ross Girshick, Piotr Doll'ar et al.

12,322 citations

1611.05431v22016arXiv

A MultiPath Network for Object Detection

Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin et al.

236 citations

1604.02135v22016arXiv

What Makes for Effective Detection Proposals?

Hosang, Jan, Benenson, Rodrigo, Dollár, Piotr et al.

727 citations

269596792016IEEE transactions on pattern analysis and machine intelligence. 2016;38(4):814-30

Learning to Refine Object Segments

Pedro O. Pinheiro, Tsung-Yi Lin, Ronan Collobert et al.

790 citations

1603.08695v22016arXiv

Metric Learning with Adaptive Density Discrimination

Oren Rippel, Manohar Paluri, Piotr Dollar et al.

134 citations

1511.05939v22015arXiv

Unsupervised Learning of Edges

Yin Li, Manohar Paluri, James M. Rehg et al.

93 citations

1511.04166v22015arXiv

Semantic Amodal Segmentation

Yan Zhu, Yuandong Tian, Dimitris Mexatas et al.

189 citations

1509.01329v22015arXiv

Fast Edge Detection Using Structured Forests.

Dollár, Piotr, Zitnick, C Lawrence

965 citations

263529952015IEEE transactions on pattern analysis and machine intelligence. 2015;37(8):1558-70

Learning to Segment Object Candidates

Pedro O. Pinheiro, Ronan Collobert, Piotr Dollar

710 citations

1506.06204v22015arXiv

From Captions to Visual Concepts and Back

Hao Fang, Saurabh Gupta, Forrest Iandola et al.

1,315 citations

1411.4952v32014arXiv

Fast Feature Pyramids for Object Detection.

Dollár, Piotr, Appel, Ron, Belongie, Serge et al.

1,955 citations

263533362015IEEE transactions on pattern analysis and machine intelligence. 2014;36(8):1532-45

Local Decorrelation For Improved Detection

Woonhyun Nam, Piotr Doll'ar, Joon Hee Han

51 citations

1406.1134v22014arXiv

Layered Logic Classifiers: Exploring the `And' and `Or' Relations

Zhuowen Tu, Piotr Dollar, Yingnian Wu

1 citation

1405.6804v22014arXiv

Microsoft COCO: Common Objects in Context

Tsung-Yi Lin, Michael Maire, Serge Belongie et al.

47,548 citations

1405.0312v32014arXiv

Decoding ventromedial hypothalamic neural activity during male mouse aggression.

Falkner, Annegret L, Dollar, Piotr, Perona, Pietro et al.

120 citations

247608562014The Journal of neuroscience : the official journal of the Society for Neuroscience. 2014;34(17):5971-84

Career total: 108 works. 54 are in this corpus.Showing the 50 most recent.

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108

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228K

citations

68

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