Supervised Learning of Edges and Object Boundaries. - Piotr Dollár; Zhuowen Tu; Serge J. Belongie (CVPR (2), 2006)

Learning to Traverse Image Manifolds. - Piotr Dollár; Serge J. Belongie; Vincent C. Rabaud (NIPS, 2006)

Feature Mining for Image Classification. - Piotr Dollár; Zhuowen Tu; Hai Tao; Serge J. Belongie (CVPR, 2007)

Task Specific Local Region Matching. - Boris Babenko; Piotr Dollár; Serge J. Belongie (ICCV, 2007)

Non-isometric manifold learning: analysis and an algorithm. - Piotr Dollár; Vincent C. Rabaud; Serge J. Belongie (ICML, 2007)

Learning from local image regions. - Piotr Dollár (2007)

Multiple Component Learning for Object Detection. - Piotr Dollár; Boris Babenko; Serge J. Belongie; Pietro Perona; Zhuowen Tu (ECCV (2), 2008)

Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models. - Zhuowen Tu; Katherine L. Narr; Piotr Dollár; Ivo D. Dinov; Paul M. Thompson; Arthur W. Toga (IEEE Trans. Medical Imaging, 2008)

Integral Channel Features. - Piotr Dollár; Zhuowen Tu; Pietro Perona; Serge J. Belongie (BMVC, 2009)

Pedestrian detection: A benchmark. - Piotr Dollár; Christian Wojek; Bernt Schiele; Pietro Perona (CVPR, 2009)

The Fastest Pedestrian Detector in the West. - Piotr Dollár; Serge J. Belongie; Pietro Perona (BMVC, 2010)

Cascaded pose regression. - Piotr Dollár; Peter Welinder; Pietro Perona (CVPR, 2010)

Multiple Instance Learning with Manifold Bags. - Boris Babenko; Nakul Verma; Piotr Dollár; Serge J. Belongie (ICML, 2011)

Social behavior recognition in continuous video. - Xavier P. Burgos-Artizzu; Piotr Dollár; Dayu Lin; David J. Anderson; Pietro Perona (CVPR, 2012)

Crosstalk Cascades for Frame-Rate Pedestrian Detection. - Piotr Dollár; Ron Appel; Wolf Kienzle (ECCV (2), 2012)

Pedestrian Detection: An Evaluation of the State of the Art. - Piotr Dollár; Christian Wojek; Bernt Schiele; Pietro Perona (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Merging Pose Estimates Across Space and Time. - Xavier P. Burgos-Artizzu; David Hall 002; Pietro Perona; Piotr Dollár (BMVC, 2013)

Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection. - Joseph J. Lim; C. Lawrence Zitnick; Piotr Dollár (CVPR, 2013)

Exploring Weak Stabilization for Motion Feature Extraction. - Dennis Park; C. Lawrence Zitnick; Deva Ramanan; Piotr Dollár (CVPR, 2013)

Robust Face Landmark Estimation under Occlusion. - Xavier P. Burgos-Artizzu; Pietro Perona; Piotr Dollár (ICCV, 2013)

Structured Forests for Fast Edge Detection. - Piotr Dollár; C. Lawrence Zitnick (ICCV, 2013)

Quickly Boosting Decision Trees - Pruning Underachieving Features Early. - Ron Appel; Thomas J. Fuchs; Piotr Dollár; Pietro Perona (ICML (3), 2013)

Detecting Objects Using Deformation Dictionaries. - Bharath Hariharan; C. Lawrence Zitnick; Piotr Dollár (CVPR, 2014)

Microsoft COCO: Common Objects in Context. - Tsung-Yi Lin; Michael Maire; Serge J. Belongie; James Hays; Pietro Perona; Deva Ramanan; Piotr Dollár; C. Lawrence Zitnick (ECCV (5), 2014)

Edge Boxes: Locating Object Proposals from Edges. - C. Lawrence Zitnick; Piotr Dollár (ECCV (5), 2014)

Local Decorrelation For Improved Pedestrian Detection. - Woonhyun Nam; Piotr Dollár; Joon Hee Han (NIPS, 2014)

Microsoft COCO: Common Objects in Context. - Tsung-Yi Lin; Michael Maire; Serge J. Belongie; Lubomir D. Bourdev; Ross B. Girshick; James Hays; Pietro Perona; Deva Ramanan; Piotr Dollár; C. Lawrence Zitnick (CoRR, 2014)

Local Decorrelation For Improved Detection. - Woonhyun Nam; Piotr Dollár; Joon Hee Han (CoRR, 2014)

Layered Logic Classifiers: Exploring the 'And' and 'Or' Relations. - Zhuowen Tu; Piotr Dollár; Yingnian Wu (CoRR, 2014)

Fast Feature Pyramids for Object Detection. - Piotr Dollár; Ron Appel; Serge J. Belongie; Pietro Perona (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

From captions to visual concepts and back. - Hao Fang 002; Saurabh Gupta 001; Forrest N. Iandola; Rupesh Kumar Srivastava; Li Deng 001; Piotr Dollár; Jianfeng Gao 001; Xiaodong He 001; Margaret Mitchell; John C. Platt; C. Lawrence Zitnick; Geoffrey Zweig (CVPR, 2015)

Learning to Segment Object Candidates. - Pedro H. O. Pinheiro; Ronan Collobert; Piotr Dollár (NIPS, 2015)

Microsoft COCO Captions: Data Collection and Evaluation Server. - Xinlei Chen; Hao Fang 002; Tsung-Yi Lin; Ramakrishna Vedantam; Saurabh Gupta 001; Piotr Dollár; C. Lawrence Zitnick (CoRR, 2015)

Fast Edge Detection Using Structured Forests. - Piotr Dollár; C. Lawrence Zitnick (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

A MultiPath Network for Object Detection. - Sergey Zagoruyko; Adam Lerer; Tsung-Yi Lin; Pedro Oliveira Pinheiro; Sam Gross; Soumith Chintala; Piotr Dollár (BMVC, 2016)

Unsupervised Learning of Edges. - Yin Li 003; Manohar Paluri; James M. Rehg; Piotr Dollár (CVPR, 2016)

Learning to Refine Object Segments. - Pedro Oliveira Pinheiro; Tsung-Yi Lin; Ronan Collobert; Piotr Dollár (ECCV (1), 2016)

Metric Learning with Adaptive Density Discrimination. - Oren Rippel; Manohar Paluri; Piotr Dollár; Lubomir D. Bourdev (ICLR (Poster), 2016)

What Makes for Effective Detection Proposals? - Jan Hendrik Hosang; Rodrigo Benenson; Piotr Dollár; Bernt Schiele (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Feature Pyramid Networks for Object Detection. - Tsung-Yi Lin; Piotr Dollár; Ross B. Girshick; Kaiming He; Bharath Hariharan; Serge J. Belongie (CVPR, 2017)

Learning Features by Watching Objects Move. - Deepak Pathak; Ross B. Girshick; Piotr Dollár; Trevor Darrell; Bharath Hariharan (CVPR, 2017)

Aggregated Residual Transformations for Deep Neural Networks. - Saining Xie; Ross B. Girshick; Piotr Dollár; Zhuowen Tu; Kaiming He (CVPR, 2017)

Semantic Amodal Segmentation. - Yan Zhu 009; Yuandong Tian; Dimitris N. Metaxas; Piotr Dollár (CVPR, 2017)

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour. - Priya Goyal; Piotr Dollár; Ross B. Girshick; Pieter Noordhuis; Lukasz Wesolowski; Aapo Kyrola; Andrew Tulloch; Yangqing Jia; Kaiming He (CoRR, 2017)

Detecting and Recognizing Human-Object Interactions. - Georgia Gkioxari; Ross B. Girshick; Piotr Dollár; Kaiming He (CVPR, 2018)

Learning to Segment Every Thing. - Ronghang Hu; Piotr Dollár; Kaiming He; Trevor Darrell; Ross B. Girshick (CVPR, 2018)

Data Distillation: Towards Omni-Supervised Learning. - Ilija Radosavovic; Piotr Dollár; Ross B. Girshick; Georgia Gkioxari; Kaiming He (CVPR, 2018)

LVIS: A Dataset for Large Vocabulary Instance Segmentation. - Agrim Gupta; Piotr Dollár; Ross B. Girshick (CVPR, 2019)

Panoptic Feature Pyramid Networks. - Alexander Kirillov; Ross B. Girshick; Kaiming He; Piotr Dollár (CVPR, 2019)

Panoptic Segmentation. - Alexander Kirillov; Kaiming He; Ross B. Girshick; Carsten Rother; Piotr Dollár (CVPR, 2019)

TensorMask: A Foundation for Dense Object Segmentation. - Xinlei Chen; Ross B. Girshick; Kaiming He; Piotr Dollár (ICCV, 2019)

Rethinking ImageNet Pre-Training. - Kaiming He; Ross B. Girshick; Piotr Dollár (ICCV, 2019)

On Network Design Spaces for Visual Recognition. - Ilija Radosavovic; Justin Johnson 001; Saining Xie; Wan-Yen Lo; Piotr Dollár (ICCV, 2019)

Designing Network Design Spaces. - Ilija Radosavovic; Raj Prateek Kosaraju; Ross B. Girshick; Kaiming He; Piotr Dollár (CVPR, 2020)

Are Labels Necessary for Neural Architecture Search? - Chenxi Liu 001; Piotr Dollár; Kaiming He; Ross B. Girshick; Alan L. Yuille; Saining Xie (ECCV (4), 2020)

Mask R-CNN. - Kaiming He; Georgia Gkioxari; Piotr Dollár; Ross B. Girshick (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Focal Loss for Dense Object Detection. - Tsung-Yi Lin; Priya Goyal; Ross B. Girshick; Kaiming He; Piotr Dollár (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Boundary IoU: Improving Object-Centric Image Segmentation Evaluation. - Bowen Cheng; Ross B. Girshick; Piotr Dollár; Alexander C. Berg; Alexander Kirillov (CVPR, 2021)

Fast and Accurate Model Scaling. - Piotr Dollár; Mannat Singh; Ross B. Girshick (CVPR, 2021)

Early Convolutions Help Transformers See Better. - Tete Xiao; Mannat Singh; Eric Mintun; Trevor Darrell; Piotr Dollár; Ross B. Girshick (NeurIPS, 2021)

Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details. - Achal Dave; Piotr Dollár; Deva Ramanan; Alexander Kirillov; Ross B. Girshick (CoRR, 2021)

Benchmarking Detection Transfer Learning with Vision Transformers. - Yanghao Li; Saining Xie; Xinlei Chen; Piotr Dollár; Kaiming He; Ross B. Girshick (CoRR, 2021)

Masked Autoencoders Are Scalable Vision Learners. - Kaiming He; Xinlei Chen; Saining Xie; Yanghao Li; Piotr Dollár; Ross B. Girshick (CVPR, 2022)

Revisiting Weakly Supervised Pre-Training of Visual Perception Models. - Mannat Singh; Laura Gustafson; Aaron Adcock; Vinicius de Freitas Reis; Bugra Gedik; Raj Prateek Kosaraju; Dhruv Mahajan 001; Ross B. Girshick; Piotr Dollár; Laurens van der Maaten (CVPR, 2022)

Segment Anything. - Alexander Kirillov; Eric Mintun; Nikhila Ravi; Hanzi Mao; Chloé Rolland; Laura Gustafson; Tete Xiao; Spencer Whitehead; Alexander C. Berg; Wan-Yen Lo; Piotr Dollár; Ross B. Girshick (ICCV, 2023)

The effectiveness of MAE pre-pretraining for billion-scale pretraining. - Mannat Singh; Quentin Duval; Kalyan Vasudev Alwala; Haoqi Fan 001; Vaibhav Aggarwal; Aaron Adcock; Armand Joulin; Piotr Dollár; Christoph Feichtenhofer; Ross B. Girshick; Rohit Girdhar; Ishan Misra (ICCV, 2023)

SAM 2: Segment Anything in Images and Videos. - Nikhila Ravi; Valentin Gabeur; Yuan-Ting Hu; Ronghang Hu; Chaitanya Ryali; Tengyu Ma 005; Haitham Khedr; Roman Rädle; Chloé Rolland; Laura Gustafson; Eric Mintun; Junting Pan; et al. (ICLR, 2025)

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding. - Jang Hyun Cho; Andrea Madotto; Effrosyni Mavroudi; Triantafyllos Afouras; Tushar Nagarajan; Muhammad Maaz 001; Yale Song; Tengyu Ma 005; Shuming Hu; Suyog Dutt Jain; Miguel Martin; Huiyu Wang; et al. (CoRR, 2025)

Perception Encoder: The best visual embeddings are not at the output of the network. - Daniel Bolya; Po-Yao Huang 001; Peize Sun; Jang Hyun Cho; Andrea Madotto; Chen Wei 005; Tengyu Ma 005; Jiale Zhi; Jathushan Rajasegaran; Hanoona Rasheed; Junke Wang; Marco Monteiro; et al. (CoRR, 2025)