Piotr Dollรกr
36 papers · 2006–2025 · 6 conferences · across top CS/AI conferences
Achievements
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๐ Conference Polyglot (6) ๐ฃ Hot Topic Early Bird ๐งญ Keyword Pioneer ๐ Interdisciplinary Bridge ๐ Academic Marathon (19)
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Academic Marathon
(19)
๐งญ
Keyword Pioneer
๐ฃ
Hot Topic Early Bird
๐
Keyword Trendsetter Combo
(7)
๐
Conference Loyalist
(20)
๐ค
Dynamic Duo
(22)
๐ฌ
Deep Specialist
(12)
๐งฌ
Topic Evolution
๐
Keyword Champion
(4)
โก
Prolific Year
(6)
๐
Century Club
(36)
๐๏ธ
Keyword Collector
(133)
โ
The Questioner
๐
Trend Setter
๐ฅ
Unstoppable
(11)
๐
Conference Pioneer
Conferences
CVPR (20)
ICCV (9)
NIPS (4)
ECCV (1)
ICLR (1)
ICML (1)
Top co-authors
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 โ 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