← Authors

Piotr Dollár

36 papers · 2006–2025 · 6 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (6) 🗺️ Taxonomy Completionist (53) 🌈 Renaissance Researcher (5) 🐝 Cross-Pollinator (12) 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (19) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (7) 🏠 Conference Loyalist (20) 🤝 Dynamic Duo (22) 🔬 Deep Specialist (12) 🧬 Topic Evolution 🏆 Keyword Champion (4) ⚡ Prolific Year (6) 💎 Century Club (36) 🗃️ Keyword Collector (133) ❓ The Questioner 📈 Trend Setter 🔥 Unstoppable (11) 🚀 Conference Pioneer

Conferences

CVPR (20) ICCV (9) NIPS (4) ECCV (1) ICLR (1) ICML (1)

Top co-authors

Ross Girshick (22) Kaiming He (14) Mannat Singh (4) Saining Xie (4) C. L. Zitnick (4) Alexander Kirillov (4) Georgia Gkioxari (3) Eric Mintun (3) Ilija Radosavovic (3) Trevor Darrell (3)

Keywords

object detection (13) instance segmentation (7) semantic segmentation (7) transfer learning (5) convolutional neural network (5) image segmentation (5) visual recognition (4) self-supervised learning (3) pedestrian detection (3) convolutional network (3) image classification (3) panoptic segmentation (3) feature extraction (3) edge detection (2) network architecture (2) representation learning (2) neural architecture search (2) model pretraining (2) vision transformer (2) pose estimation (2)

Papers

SAM 2: Segment Anything in Images and Videos ICLR 2025
The Effectiveness of MAE Pre-Pretraining for Billion-Scale Pretraining ICCV 2023
Segment Anything ICCV 2023
Revisiting Weakly Supervised Pre-Training of Visual Perception Models CVPR 2022
Masked Autoencoders Are Scalable Vision Learners CVPR 2022
Fast and Accurate Model Scaling CVPR 2021
Early Convolutions Help Transformers See Better NIPS 2021
Boundary IoU: Improving Object-Centric Image Segmentation Evaluation CVPR 2021
Designing Network Design Spaces CVPR 2020
Are Labels Necessary for Neural Architecture Search? ECCV 2020
TensorMask: A Foundation for Dense Object Segmentation ICCV 2019
Rethinking ImageNet Pre-Training ICCV 2019
LVIS: A Dataset for Large Vocabulary Instance Segmentation CVPR 2019
Panoptic Feature Pyramid Networks CVPR 2019
Panoptic Segmentation CVPR 2019
On Network Design Spaces for Visual Recognition ICCV 2019
Data Distillation: Towards Omni-Supervised Learning CVPR 2018
Learning to Segment Every Thing CVPR 2018
Detecting and Recognizing Human-Object Interactions CVPR 2018
Aggregated Residual Transformations for Deep Neural Networks CVPR 2017
Semantic Amodal Segmentation CVPR 2017
Mask R-CNN ICCV 2017
Focal Loss for Dense Object Detection ICCV 2017
Feature Pyramid Networks for Object Detection CVPR 2017
Learning Features by Watching Objects Move CVPR 2017
Unsupervised Learning of Edges CVPR 2016
From Captions to Visual Concepts and Back CVPR 2015
Learning to Segment Object Candidates NIPS 2015
Detecting Objects using Deformation Dictionaries CVPR 2014
Local Decorrelation For Improved Pedestrian Detection NIPS 2014
Quickly Boosting Decision Trees – Pruning Underachieving Features Early ICML 2013
Exploring Weak Stabilization for Motion Feature Extraction CVPR 2013
Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection CVPR 2013
Structured Forests for Fast Edge Detection ICCV 2013
Robust Face Landmark Estimation under Occlusion ICCV 2013
Learning to Traverse Image Manifolds NIPS 2006