Piotr Dollár
39 papers · 2006–2026 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (56) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Ultra 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🏠
Conference Loyalist
(23)
🌟
Keyword Trendsetter Combo
(10)
🏆
Keyword Champion
(4)
🧭
Keyword Pioneer
🤝
Dynamic Duo
(22)
👥
Mega-Team · Squad
🔬
Deep Specialist
(12)
🚀
Conference Pioneer
🔥
Unstoppable · Silver
❓
The Questioner
⚡
Prolific Year · Productive
💎
Century Club · Bronze
📈
Trend Setter
🗃️
Keyword Collector
(152)
Top co-authors
Research topics
Computer Vision
(28)
Machine Learning
(20)
Analysis
(19)
Processing
(13)
Deep Learning
(12)
Learning Types · Machine Learning
(11)
Core Methods
(9)
Architectures
(8)
Techniques
(6)
Artificial Intelligence
(5)
Core AI · Computer Vision
(4)
Core AI · Artificial Intelligence
(4)
Learning Types · Deep Learning
(4)
Application Areas
(3)
Optimization & Theory
(3)
Keywords
object detection
(13)
instance segmentation
(7)
semantic segmentation
(7)
image segmentation
(6)
convolutional neural network
(5)
transfer learning
(5)
visual recognition
(4)
pedestrian detection
(3)
self-supervised learning
(3)
panoptic segmentation
(3)
image classification
(3)
convolutional network
(3)
feature extraction
(3)
promptable segmentation
(2)
network architecture
(2)
representation learning
(2)
human pose estimation
(2)
model pretraining
(2)
vision transformer
(2)
pose estimation
(2)
Papers
Pushing the Frontier of Audiovisual Perception with Large-Scale Multimodal Correspondence Learning
CVPR 2026
SAM 3D: 3Dfy Anything in Images
CVPR 2026
SAM 3D Body: Robust Full-Body Human Mesh Recovery
CVPR 2026
SAM 2: Segment Anything in Images and Videos
ICLR 2025
Segment Anything
ICCV 2023
The Effectiveness of MAE Pre-Pretraining for Billion-Scale Pretraining
ICCV 2023
Masked Autoencoders Are Scalable Vision Learners
CVPR 2022
Revisiting Weakly Supervised Pre-Training of Visual Perception Models
CVPR 2022
Boundary IoU: Improving Object-Centric Image Segmentation Evaluation
CVPR 2021
Early Convolutions Help Transformers See Better
NeurIPS 2021
Fast and Accurate Model Scaling
CVPR 2021
Are Labels Necessary for Neural Architecture Search?
ECCV 2020
Designing Network Design Spaces
CVPR 2020
LVIS: A Dataset for Large Vocabulary Instance Segmentation
CVPR 2019
On Network Design Spaces for Visual Recognition
ICCV 2019
Panoptic Feature Pyramid Networks
CVPR 2019
Panoptic Segmentation
CVPR 2019
Rethinking ImageNet Pre-Training
ICCV 2019
TensorMask: A Foundation for Dense Object Segmentation
ICCV 2019
Data Distillation: Towards Omni-Supervised Learning
CVPR 2018
Detecting and Recognizing Human-Object Interactions
CVPR 2018
Learning to Segment Every Thing
CVPR 2018
Aggregated Residual Transformations for Deep Neural Networks
CVPR 2017
Feature Pyramid Networks for Object Detection
CVPR 2017
Focal Loss for Dense Object Detection
ICCV 2017
Learning Features by Watching Objects Move
CVPR 2017
Mask R-CNN
ICCV 2017
Semantic Amodal Segmentation
CVPR 2017
Unsupervised Learning of Edges
CVPR 2016
From Captions to Visual Concepts and Back
CVPR 2015
Learning to Segment Object Candidates
NeurIPS 2015
Detecting Objects using Deformation Dictionaries
CVPR 2014
Local Decorrelation For Improved Pedestrian Detection
NeurIPS 2014
Exploring Weak Stabilization for Motion Feature Extraction
CVPR 2013
Quickly Boosting Decision Trees – Pruning Underachieving Features Early
ICML 2013
Robust Face Landmark Estimation under Occlusion
ICCV 2013
Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection
CVPR 2013
Structured Forests for Fast Edge Detection
ICCV 2013
Learning to Traverse Image Manifolds
NeurIPS 2006