Alexander Kirillov
21 papers · 2015–2024 · 5 conferences · across top CS/AI conferences
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NIPS (4)
ICCV (3)
ECCV (2)
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Keywords
instance segmentation
(9)
semantic segmentation
(8)
image segmentation
(6)
panoptic segmentation
(5)
object detection
(3)
graphical model
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diverse labeling
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energy minimization
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domain generalization
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attention mechanism
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contrastive learning
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weakly supervised learning
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knowledge distillation
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data augmentation
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self-supervised learning
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human pose estimation
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neural architecture search
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scene understanding
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scene parsing
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structured prediction
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Papers
R-MAE: Regions Meet Masked Autoencoders
ICLR 2024
Segment Anything
ICCV 2023
Masked-Attention Mask Transformer for Universal Image Segmentation
CVPR 2022
Pointly-Supervised Instance Segmentation
CVPR 2022
TrackFormer: Multi-Object Tracking With Transformers
CVPR 2022
SLIP: Self-Supervision Meets Language-Image Pre-training
ECCV 2022
Point-Level Region Contrast for Object Detection Pre-Training
CVPR 2022
Boundary IoU: Improving Object-Centric Image Segmentation Evaluation
CVPR 2021
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness
NIPS 2021
Per-Pixel Classification is Not All You Need for Semantic Segmentation
NIPS 2021
End-to-End Object Detection with Transformers
ECCV 2020
PointRend: Image Segmentation As Rendering
CVPR 2020
Panoptic Segmentation
CVPR 2019
Exploring Randomly Wired Neural Networks for Image Recognition
ICCV 2019
Panoptic Feature Pyramid Networks
CVPR 2019
Global Hypothesis Generation for 6D Object Pose Estimation
CVPR 2017
Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications
CVPR 2017
InstanceCut: From Edges to Instances With MultiCut
CVPR 2017
Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization
NIPS 2016
Inferring M-Best Diverse Labelings in a Single One
ICCV 2015
M-Best-Diverse Labelings for Submodular Energies and Beyond
NIPS 2015