Piotr Dollár - RankMe

107 papers A* 39A 4Journal 52Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Perception Encoder: The best visual embeddings are not at the output of the network. CoRR Daniel Bolya, Po-Yao Huang, Peize Sun, Jang Hyun Cho, Andrea Madotto, Chen Wei, Tengyu Ma, Jiale Zhi, Jathushan Rajasegaran, Hanoona Rasheed, Junke Wang, Marco Monteiro, Hu Xu, Shiyu Dong, Nikhila Ravi, Daniel Li, Piotr Dollár, Christoph Feichtenhofer
2025	J	`jnl`	PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding. CoRR Jang Hyun Cho, Andrea Madotto, Effrosyni Mavroudi, Triantafyllos Afouras, Tushar Nagarajan, Muhammad Maaz, Yale Song, Tengyu Ma, Shuming Hu, Suyog Dutt Jain, Miguel Martin, Huiyu Wang, Hanoona Abdul Rasheed, Peize Sun, Po-Yao Huang, Daniel Bolya, Nikhila Ravi, Shashank Jain, Tammy Stark, Shane Moon, Babak Damavandi, Vivian Lee, Andrew Westbury, Salman H. Khan, Philipp Krähenbühl, Piotr Dollár, Lorenzo Torresani, Kristen Grauman, Christoph Feichtenhofer
2025	J	`jnl`	Pushing the Frontier of Audiovisual Perception with Large-Scale Multimodal Correspondence Learning. CoRR Apoorv Vyas, Heng-Jui Chang, Cheng-Fu Yang, Po-Yao Huang, Luya Gao, Julius Richter, Sanyuan Chen, Matt Le, Piotr Dollár, Christoph Feichtenhofer, Ann Lee, Wei-Ning Hsu
2025	A*	`conf`	SAM 2: Segment Anything in Images and Videos. ICLR Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu, Ronghang Hu, Chaitanya Ryali, Tengyu Ma, Haitham Khedr, Roman Rädle, Chloé Rolland, Laura Gustafson, Eric Mintun, Junting Pan, Kalyan Vasudev Alwala, Nicolas Carion, Chao-Yuan Wu, Ross B. Girshick, Piotr Dollár, Christoph Feichtenhofer
2025	J	`jnl`	SAM 3: Segment Anything with Concepts. CoRR Nicolas Carion, Laura Gustafson, Yuan-Ting Hu, Shoubhik Debnath, Ronghang Hu, Didac Suris, Chaitanya Ryali, Kalyan Vasudev Alwala, Haitham Khedr, Andrew Huang, Jie Lei, Tengyu Ma, Baishan Guo, Arpit Kalla, Markus Marks, Joseph Greer, Meng Wang, Peize Sun, Roman Rädle, Triantafyllos Afouras, Effrosyni Mavroudi, Katherine Xu, Tsung-Han Wu, Yu Zhou, Liliane Momeni, Rishi Hazra, Shuangrui Ding, Sagar Vaze, Francois Porcher, Feng Li, Siyuan Li, Aishwarya Kamath, Ho Kei Cheng, Piotr Dollár, Nikhila Ravi, Kate Saenko, Pengchuan Zhang, Christoph Feichtenhofer
2025	J	`jnl`	SAM 3D: 3Dfy Anything in Images. CoRR SAM 3D Team, Xingyu Chen, Fu-Jen Chu, Pierre Gleize, Kevin J. Liang, Alexander Sax, Hao Tang, Weiyao Wang, Michelle Guo, Thibaut Hardin, Xiang Li, Aohan Lin, Jiawei Liu, Ziqi Ma, Anushka Sagar, Bowen Song, Xiaodong Wang, Jianing Yang, Bowen Zhang, Piotr Dollár, Georgia Gkioxari, Matt Feiszli, Jitendra Malik
2025	J	`jnl`	SAM Audio: Segment Anything in Audio. CoRR Bowen Shi, Andros Tjandra, John Hoffman, Helin Wang, Yi-Chiao Wu, Luya Gao, Julius Richter, Matt Le, Apoorv Vyas, Sanyuan Chen, Christoph Feichtenhofer, Piotr Dollár, Wei-Ning Hsu, Ann Lee
2024	J	`jnl`	SAM 2: Segment Anything in Images and Videos. CoRR Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu, Ronghang Hu, Chaitanya Ryali, Tengyu Ma, Haitham Khedr, Roman Rädle, Chloé Rolland, Laura Gustafson, Eric Mintun, Junting Pan, Kalyan Vasudev Alwala, Nicolas Carion, Chao-Yuan Wu, Ross B. Girshick, Piotr Dollár, Christoph Feichtenhofer
2023	A*	`conf`	Segment Anything. ICCV 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
2023	J	`jnl`	Segment Anything. CoRR 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
2023	A*	`conf`	The effectiveness of MAE pre-pretraining for billion-scale pretraining. ICCV Mannat Singh, Quentin Duval, Kalyan Vasudev Alwala, Haoqi Fan, Vaibhav Aggarwal, Aaron Adcock, Armand Joulin, Piotr Dollár, Christoph Feichtenhofer, Ross B. Girshick, Rohit Girdhar, Ishan Misra
2023	J	`jnl`	The effectiveness of MAE pre-pretraining for billion-scale pretraining. CoRR Mannat Singh, Quentin Duval, Kalyan Vasudev Alwala, Haoqi Fan, Vaibhav Aggarwal, Aaron Adcock, Armand Joulin, Piotr Dollár, Christoph Feichtenhofer, Ross B. Girshick, Rohit Girdhar, Ishan Misra
2022	A*	`conf`	Masked Autoencoders Are Scalable Vision Learners. CVPR Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross B. Girshick
2022	A*	`conf`	Revisiting Weakly Supervised Pre-Training of Visual Perception Models. CVPR Mannat Singh, Laura Gustafson, Aaron Adcock, Vinicius de Freitas Reis, Bugra Gedik, Raj Prateek Kosaraju, Dhruv Mahajan, Ross B. Girshick, Piotr Dollár, Laurens van der Maaten
2022	J	`jnl`	Revisiting Weakly Supervised Pre-Training of Visual Perception Models. CoRR Mannat Singh, Laura Gustafson, Aaron Adcock, Vinicius de Freitas Reis, Bugra Gedik, Raj Prateek Kosaraju, Dhruv Mahajan, Ross B. Girshick, Piotr Dollár, Laurens van der Maaten
2021	J	`jnl`	Benchmarking Detection Transfer Learning with Vision Transformers. CoRR Yanghao Li, Saining Xie, Xinlei Chen, Piotr Dollár, Kaiming He, Ross B. Girshick
2021	A*	`conf`	Boundary IoU: Improving Object-Centric Image Segmentation Evaluation. CVPR Bowen Cheng, Ross B. Girshick, Piotr Dollár, Alexander C. Berg, Alexander Kirillov
2021	J	`jnl`	Boundary IoU: Improving Object-Centric Image Segmentation Evaluation. CoRR Bowen Cheng, Ross B. Girshick, Piotr Dollár, Alexander C. Berg, Alexander Kirillov
2021	A*	`conf`	Early Convolutions Help Transformers See Better. NeurIPS Tete Xiao, Mannat Singh, Eric Mintun, Trevor Darrell, Piotr Dollár, Ross B. Girshick
2021	J	`jnl`	Early Convolutions Help Transformers See Better. CoRR Tete Xiao, Mannat Singh, Eric Mintun, Trevor Darrell, Piotr Dollár, Ross B. Girshick
2021	J	`jnl`	Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details. CoRR Achal Dave, Piotr Dollár, Deva Ramanan, Alexander Kirillov, Ross B. Girshick
2021	A*	`conf`	Fast and Accurate Model Scaling. CVPR Piotr Dollár, Mannat Singh, Ross B. Girshick
2021	J	`jnl`	Fast and Accurate Model Scaling. CoRR Piotr Dollár, Mannat Singh, Ross B. Girshick
2021	J	`jnl`	Masked Autoencoders Are Scalable Vision Learners. CoRR Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross B. Girshick
2020	—	`conf`	Are Labels Necessary for Neural Architecture Search? ECCV (4) Chenxi Liu, Piotr Dollár, Kaiming He, Ross B. Girshick, Alan L. Yuille, Saining Xie
2020	J	`jnl`	Are Labels Necessary for Neural Architecture Search? CoRR Chenxi Liu, Piotr Dollár, Kaiming He, Ross B. Girshick, Alan L. Yuille, Saining Xie
2020	A*	`conf`	Designing Network Design Spaces. CVPR Ilija Radosavovic, Raj Prateek Kosaraju, Ross B. Girshick, Kaiming He, Piotr Dollár
2020	J	`jnl`	Designing Network Design Spaces. CoRR Ilija Radosavovic, Raj Prateek Kosaraju, Ross B. Girshick, Kaiming He, Piotr Dollár
2020	J	`jnl`	Focal Loss for Dense Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, Piotr Dollár
2020	J	`jnl`	Mask R-CNN. IEEE Trans. Pattern Anal. Mach. Intell. Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross B. Girshick
2019	A*	`conf`	LVIS: A Dataset for Large Vocabulary Instance Segmentation. CVPR Agrim Gupta, Piotr Dollár, Ross B. Girshick
2019	J	`jnl`	LVIS: A Dataset for Large Vocabulary Instance Segmentation. CoRR Agrim Gupta, Piotr Dollár, Ross B. Girshick
2019	A*	`conf`	On Network Design Spaces for Visual Recognition. ICCV Ilija Radosavovic, Justin Johnson, Saining Xie, Wan-Yen Lo, Piotr Dollár
2019	J	`jnl`	On Network Design Spaces for Visual Recognition. CoRR Ilija Radosavovic, Justin Johnson, Saining Xie, Wan-Yen Lo, Piotr Dollár
2019	A*	`conf`	Panoptic Feature Pyramid Networks. CVPR Alexander Kirillov, Ross B. Girshick, Kaiming He, Piotr Dollár
2019	J	`jnl`	Panoptic Feature Pyramid Networks. CoRR Alexander Kirillov, Ross B. Girshick, Kaiming He, Piotr Dollár
2019	A*	`conf`	Panoptic Segmentation. CVPR Alexander Kirillov, Kaiming He, Ross B. Girshick, Carsten Rother, Piotr Dollár
2019	A*	`conf`	Rethinking ImageNet Pre-Training. ICCV Kaiming He, Ross B. Girshick, Piotr Dollár
2019	A*	`conf`	TensorMask: A Foundation for Dense Object Segmentation. ICCV Xinlei Chen, Ross B. Girshick, Kaiming He, Piotr Dollár
2019	J	`jnl`	TensorMask: A Foundation for Dense Object Segmentation. CoRR Xinlei Chen, Ross B. Girshick, Kaiming He, Piotr Dollár
2018	A*	`conf`	Data Distillation: Towards Omni-Supervised Learning. CVPR Ilija Radosavovic, Piotr Dollár, Ross B. Girshick, Georgia Gkioxari, Kaiming He
2018	A*	`conf`	Detecting and Recognizing Human-Object Interactions. CVPR Georgia Gkioxari, Ross B. Girshick, Piotr Dollár, Kaiming He
2018	A*	`conf`	Learning to Segment Every Thing. CVPR Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, Ross B. Girshick
2018	J	`jnl`	Panoptic Segmentation. CoRR Alexander Kirillov, Kaiming He, Ross B. Girshick, Carsten Rother, Piotr Dollár
2018	J	`jnl`	Rethinking ImageNet Pre-training. CoRR Kaiming He, Ross B. Girshick, Piotr Dollár
2017	J	`jnl`	Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour. CoRR Priya Goyal, Piotr Dollár, Ross B. Girshick, Pieter Noordhuis, Lukasz Wesolowski, Aapo Kyrola, Andrew Tulloch, Yangqing Jia, Kaiming He
2017	A*	`conf`	Aggregated Residual Transformations for Deep Neural Networks. CVPR Saining Xie, Ross B. Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He
2017	J	`jnl`	Data Distillation: Towards Omni-Supervised Learning. CoRR Ilija Radosavovic, Piotr Dollár, Ross B. Girshick, Georgia Gkioxari, Kaiming He
2017	J	`jnl`	Detecting and Recognizing Human-Object Interactions. CoRR Georgia Gkioxari, Ross B. Girshick, Piotr Dollár, Kaiming He
2017	A*	`conf`	Feature Pyramid Networks for Object Detection. CVPR Tsung-Yi Lin, Piotr Dollár, Ross B. Girshick, Kaiming He, Bharath Hariharan, Serge J. Belongie
2017	A*	`conf`	Focal Loss for Dense Object Detection. ICCV Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, Piotr Dollár
2017	J	`jnl`	Focal Loss for Dense Object Detection. CoRR Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, Piotr Dollár
2017	A*	`conf`	Learning Features by Watching Objects Move. CVPR Deepak Pathak, Ross B. Girshick, Piotr Dollár, Trevor Darrell, Bharath Hariharan
2017	J	`jnl`	Learning to Segment Every Thing. CoRR Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, Ross B. Girshick
2017	A*	`conf`	Mask R-CNN. ICCV Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross B. Girshick
2017	J	`jnl`	Mask R-CNN. CoRR Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross B. Girshick
2017	A*	`conf`	Semantic Amodal Segmentation. CVPR Yan Zhu, Yuandong Tian, Dimitris N. Metaxas, Piotr Dollár
2016	A	`conf`	A MultiPath Network for Object Detection. BMVC Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro Oliveira Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár
2016	J	`jnl`	A MultiPath Network for Object Detection. CoRR Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro H. O. Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár
2016	J	`jnl`	Aggregated Residual Transformations for Deep Neural Networks. CoRR Saining Xie, Ross B. Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He
2016	J	`jnl`	Feature Pyramid Networks for Object Detection. CoRR Tsung-Yi Lin, Piotr Dollár, Ross B. Girshick, Kaiming He, Bharath Hariharan, Serge J. Belongie
2016	J	`jnl`	Learning Features by Watching Objects Move. CoRR Deepak Pathak, Ross B. Girshick, Piotr Dollár, Trevor Darrell, Bharath Hariharan
2016	—	`conf`	Learning to Refine Object Segments. ECCV (1) Pedro Oliveira Pinheiro, Tsung-Yi Lin, Ronan Collobert, Piotr Dollár
2016	J	`jnl`	Learning to Refine Object Segments. CoRR Pedro H. O. Pinheiro, Tsung-Yi Lin, Ronan Collobert, Piotr Dollár
2016	A*	`conf`	Metric Learning with Adaptive Density Discrimination. ICLR (Poster) Oren Rippel, Manohar Paluri, Piotr Dollár, Lubomir D. Bourdev
2016	A*	`conf`	Unsupervised Learning of Edges. CVPR Yin Li, Manohar Paluri, James M. Rehg, Piotr Dollár
2016	J	`jnl`	What Makes for Effective Detection Proposals? IEEE Trans. Pattern Anal. Mach. Intell. Jan Hendrik Hosang, Rodrigo Benenson, Piotr Dollár, Bernt Schiele
2015	J	`jnl`	Fast Edge Detection Using Structured Forests. IEEE Trans. Pattern Anal. Mach. Intell. Piotr Dollár, C. Lawrence Zitnick
2015	A*	`conf`	From captions to visual concepts and back. CVPR Hao Fang, Saurabh Gupta, Forrest N. Iandola, Rupesh Kumar Srivastava, Li Deng, Piotr Dollár, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C. Platt, C. Lawrence Zitnick, Geoffrey Zweig
2015	—	`conf`	Learning to Segment Object Candidates. NIPS Pedro H. O. Pinheiro, Ronan Collobert, Piotr Dollár
2015	J	`jnl`	Learning to Segment Object Candidates. CoRR Pedro H. O. Pinheiro, Ronan Collobert, Piotr Dollár
2015	J	`jnl`	Microsoft COCO Captions: Data Collection and Evaluation Server. CoRR Xinlei Chen, Hao Fang, Tsung-Yi Lin, Ramakrishna Vedantam, Saurabh Gupta, Piotr Dollár, C. Lawrence Zitnick
2015	J	`jnl`	Semantic Amodal Segmentation. CoRR Yan Zhu, Yuandong Tian, Dimitris N. Metaxas, Piotr Dollár
2015	J	`jnl`	Unsupervised Learning of Edges. CoRR Yin Li, Manohar Paluri, James M. Rehg, Piotr Dollár
2015	J	`jnl`	What makes for effective detection proposals? CoRR Jan Hendrik Hosang, Rodrigo Benenson, Piotr Dollár, Bernt Schiele
2014	A*	`conf`	Detecting Objects Using Deformation Dictionaries. CVPR Bharath Hariharan, C. Lawrence Zitnick, Piotr Dollár
2014	—	`conf`	Edge Boxes: Locating Object Proposals from Edges. ECCV (5) C. Lawrence Zitnick, Piotr Dollár
2014	J	`jnl`	Fast Edge Detection Using Structured Forests. CoRR Piotr Dollár, C. Lawrence Zitnick
2014	J	`jnl`	Fast Feature Pyramids for Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. Piotr Dollár, Ron Appel, Serge J. Belongie, Pietro Perona
2014	J	`jnl`	From Captions to Visual Concepts and Back. CoRR Hao Fang, Saurabh Gupta, Forrest N. Iandola, Rupesh Kumar Srivastava, Li Deng, Piotr Dollár, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C. Platt, C. Lawrence Zitnick, Geoffrey Zweig
2014	J	`jnl`	Layered Logic Classifiers: Exploring the 'And' and 'Or' Relations. CoRR Zhuowen Tu, Piotr Dollár, Yingnian Wu
2014	J	`jnl`	Local Decorrelation For Improved Detection. CoRR Woonhyun Nam, Piotr Dollár, Joon Hee Han
2014	—	`conf`	Local Decorrelation For Improved Pedestrian Detection. NIPS Woonhyun Nam, Piotr Dollár, Joon Hee Han
2014	—	`conf`	Microsoft COCO: Common Objects in Context. ECCV (5) Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, C. Lawrence Zitnick
2014	J	`jnl`	Microsoft COCO: Common Objects in Context. CoRR 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
2013	A*	`conf`	Exploring Weak Stabilization for Motion Feature Extraction. CVPR Dennis Park, C. Lawrence Zitnick, Deva Ramanan, Piotr Dollár
2013	A	`conf`	Merging Pose Estimates Across Space and Time. BMVC Xavier P. Burgos-Artizzu, David Hall, Pietro Perona, Piotr Dollár
2013	—	`conf`	Quickly Boosting Decision Trees - Pruning Underachieving Features Early. ICML (3) Ron Appel, Thomas J. Fuchs, Piotr Dollár, Pietro Perona
2013	A*	`conf`	Robust Face Landmark Estimation under Occlusion. ICCV Xavier P. Burgos-Artizzu, Pietro Perona, Piotr Dollár
2013	A*	`conf`	Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection. CVPR Joseph J. Lim, C. Lawrence Zitnick, Piotr Dollár
2013	A*	`conf`	Structured Forests for Fast Edge Detection. ICCV Piotr Dollár, C. Lawrence Zitnick
2012	—	`conf`	Crosstalk Cascades for Frame-Rate Pedestrian Detection. ECCV (2) Piotr Dollár, Ron Appel, Wolf Kienzle
2012	J	`jnl`	Pedestrian Detection: An Evaluation of the State of the Art. IEEE Trans. Pattern Anal. Mach. Intell. Piotr Dollár, Christian Wojek, Bernt Schiele, Pietro Perona
2012	A*	`conf`	Social behavior recognition in continuous video. CVPR Xavier P. Burgos-Artizzu, Piotr Dollár, Dayu Lin, David J. Anderson, Pietro Perona
2011	A*	`conf`	Multiple Instance Learning with Manifold Bags. ICML Boris Babenko, Nakul Verma, Piotr Dollár, Serge J. Belongie
2010	A*	`conf`	Cascaded pose regression. CVPR Piotr Dollár, Peter Welinder, Pietro Perona
2010	A	`conf`	The Fastest Pedestrian Detector in the West. BMVC Piotr Dollár, Serge J. Belongie, Pietro Perona
2009	A	`conf`	Integral Channel Features. BMVC Piotr Dollár, Zhuowen Tu, Pietro Perona, Serge J. Belongie
2009	A*	`conf`	Pedestrian detection: A benchmark. CVPR Piotr Dollár, Christian Wojek, Bernt Schiele, Pietro Perona
2008	J	`jnl`	Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models. IEEE Trans. Medical Imaging Zhuowen Tu, Katherine L. Narr, Piotr Dollár, Ivo D. Dinov, Paul M. Thompson, Arthur W. Toga
2008	—	`conf`	Multiple Component Learning for Object Detection. ECCV (2) Piotr Dollár, Boris Babenko, Serge J. Belongie, Pietro Perona, Zhuowen Tu
2007	A*	`conf`	Feature Mining for Image Classification. CVPR Piotr Dollár, Zhuowen Tu, Hai Tao, Serge J. Belongie
2007	—	`—`	Learning from local image regions. Piotr Dollár
2007	A*	`conf`	Non-isometric manifold learning: analysis and an algorithm. ICML Piotr Dollár, Vincent C. Rabaud, Serge J. Belongie
2007	A*	`conf`	Task Specific Local Region Matching. ICCV Boris Babenko, Piotr Dollár, Serge J. Belongie
2006	—	`conf`	Learning to Traverse Image Manifolds. NIPS Piotr Dollár, Serge J. Belongie, Vincent C. Rabaud
2006	—	`conf`	Supervised Learning of Edges and Object Boundaries. CVPR (2) Piotr Dollár, Zhuowen Tu, Serge J. Belongie