News
- I have joined OpenAI to lead multimodal research group..
- We released the segment anything project. Check out our interactive demo, the new dataset with 1.1B masks, and the code.
- I will be serving as an area chair for CVPR 2023 and ICCV 2023
- We received the PAMI Mark Everingham award for Detectron2
- We released the code for DETR
Publications
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Segment Anything
Alexander Kirillov,
Eric Mintun,
Nikhila Ravi,
Hanzi Mao,
Chloe Rolland,
Laura Gustafson,
Tete Xiao,
Spencer Whitehead,
Alex C. Berg,
Wan-Yen Lo,
Piotr Dollàr,
Ross Girshick
ICCV, 2023, Oral
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SLIP: Self-supervision meets Language-Image Pre-training
Norman Mu,
Alexander Kirillov,
David Wagner,
Saining Xie
ECCV, 2022
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Masked-attention Mask Transformer for Universal Image Segmentation
Bowen Cheng,
Ishan Misra,
Alexander G. Schwing,
Alexander Kirillov,
Rohit Girdhar
CVPR, 2022
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Pointly-Supervised Instance Segmentation
Bowen Cheng,
Omkar Parkhi,
Alexander Kirillov
CVPR, 2022, Oral
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TrackFormer: Multi-Object Tracking with Transformers
Tim Meinhardt,
Alexander Kirillov,
Laura Leal-Taixé,
Christoph Feichtenhofer
CVPR, 2022
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Point-Level Region Contrast for Object Detection Pre-Training
Yutong Bai,
Xinlei Chen,
Alexander Kirillov,
Alan Yuille,
Alexander C Berg
CVPR, 2022, Oral
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Per-Pixel Classification is Not All You Need for Semantic Segmentation
Bowen Cheng,
Alexander G. Schwing,
Alexander Kirillov
NeurIPS, 2021, Spotlight
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On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness
Eric Mintun,
Alexander Kirillov,
Saining Xie
NeurIPS, 2021
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Boundary IoU: Improving Object-Centric Image Segmentation Evaluation
Bowen Cheng,
Ross Girshick,
Piotr Dollar,
Alexander C. Berg,
Alexander Kirillov,
CVPR, 2021
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DETR: End-to-End Object Detection with Transformers
Nicolas Carion,
Francisco Massa,
Gabriel Synnaeve,
Nicolas Usunier,
Alexander Kirillov,
Sergey Zagoruyko
ECCV, 2020, Oral
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PointRend: Image Segmentation as Rendering
Alexander Kirillov,
Yuxin Wu,
Kaiming He,
Ross Girshick
CVPR, 2020, Oral
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Exploring Randomly Wired Neural Networks for Image Recognition
Saining Xie,
Alexander Kirillov,
Ross Girshick,
Kaiming He
ICCV, 2019, Oral
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Panoptic Feature Pyramid Networks
Alexander Kirillov,
Ross Girshick,
Kaiming He,
Piotr Dollàr
CVPR, 2019, Oral
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Panoptic Segmentation
Alexander Kirillov,
Kaiming He,
Ross Girshick,
Piotr Dollàr
CVPR, 2019
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Conditional random fields meet deep neural networks for semantic segmentation: Combining probabilistic graphical models with deep learning for structured prediction
Anurag Arnab*,
Shuai Zheng*,
Sadeep Jayasumana,
Bernardino Romera-Paredes,
Måns Larsson,
Alexander Kirillov,
Bogdan Savchynskyy,
Carsten Rother,
Fredrik Kahl,
Philip Torr
IEEE Signal Processing Magazine, 2018
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InstanceCut: from Edges to Instances with MultiCut
Alexander Kirillov,
Evgeny Levinkov,
Bjoern Andres,
Bogdan Savchynskyy,
Carsten Rother
CVPR, 2017
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Global hypothesis generation for 6D object pose estimation
Frank Michel,
Alexander Kirillov,
Eric Brachmann,
Alexander Krull,
Stefan Gumhold,
Bogdan Savchynskyy,
Carsten Rother
CVPR, 2017
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Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications
Evgeny Levinkov,
Jonas Uhrig,
Siyu Tang,
Mohamed Omran,
Eldar Insafutdinov,
Alexander Kirillov,
Carsten Rother,
Thomas Brox,
Bernt Schiele,
Bjoern Andres
CVPR, 2017
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Analyzing Modular CNN Architectures for Joint Depth Prediction and Semantic Segmentation
Omid Hosseini Jafari,
Oliver Groth,
Alexander Kirillov,
Michael Ying Yang,
Carsten Rother
ICRA, 2017
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A Comparative Study of Local Search Algorithms for Correlation Clustering
Evgeny Levinkov,
Alexander Kirillov,
Bjoern Andres
GCPR, 2017
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Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization
Alexander Kirillov,
Alexander Shekhovtsov,
Carsten Rother, Bogdan
Savchynskyy
NIPS, 2016
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Deep Part-Based Generative Shape Model with Latent Variables
Alexander Kirillov,
Mikhail Gavrikov,
Ekaterina Lobacheva,
Anton Osokin,
Dmitry Vetrov
BMVC, 2016
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Joint Training of Generic CNN-CRF Models with Stochastic Optimization
Alexander Kirillov,
Dmitrij Schlesinger,
Shuai Zheng,
Bogdan Savchynskyy,
Philip H.S. Torr,
Carsten Rother
ACCV, 2016
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M-Best-Diverse Labelings for Submodular Energies and Beyond
Alexander Kirillov,
Dmitrij Schlesinger,
Dmitry P Vetrov,
Carsten Rother,
Bogdan Savchynskyy
NIPS, 2015
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Inferring M-Best Diverse Labelings in a Single One
Alexander Kirillov,
Bogdan Savchynskyy,
Dmitrij Schlesinger,
Dmitry P Vetrov,
Carsten Rother,
ICCV, 2015
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