Kirillov, Alexander

17 publications

ICLR 2024 R-MAE: Regions Meet Masked Autoencoders Duy Kien Nguyen, Yanghao Li, Vaibhav Aggarwal, Martin R. Oswald, Alexander Kirillov, Cees G. M. Snoek, Xinlei Chen

ICCV 2023 Segment Anything Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollar, Ross Girshick

CVPR 2022 Masked-Attention Mask Transformer for Universal Image Segmentation Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, Rohit Girdhar

CVPR 2022 Point-Level Region Contrast for Object Detection Pre-Training Yutong Bai, Xinlei Chen, Alexander Kirillov, Alan Yuille, Alexander C. Berg

CVPR 2022 Pointly-Supervised Instance Segmentation Bowen Cheng, Omkar Parkhi, Alexander Kirillov

ECCV 2022 SLIP: Self-Supervision Meets Language-Image Pre-Training Norman Mu, Alexander Kirillov, David Wagner, Saining Xie

CVPR 2022 TrackFormer: Multi-Object Tracking with Transformers Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixé, Christoph Feichtenhofer

CVPR 2021 Boundary IoU: Improving Object-Centric Image Segmentation Evaluation Bowen Cheng, Ross Girshick, Piotr Dollar, Alexander C. Berg, Alexander Kirillov

NeurIPS 2021 On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness Eric Mintun, Alexander Kirillov, Saining Xie

NeurIPS 2021 Per-Pixel Classification Is Not All You Need for Semantic Segmentation Bowen Cheng, Alex Schwing, Alexander Kirillov

ECCV 2020 End-to-End Object Detection with Transformers Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, Sergey Zagoruyko

CVPR 2017 Global Hypothesis Generation for 6d Object Pose Estimation Frank Michel, Alexander Kirillov, Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, Carsten Rother

CVPR 2017 InstanceCut: From Edges to Instances with MultiCut Alexander Kirillov, Evgeny Levinkov, Bjoern Andres, Bogdan Savchynskyy, Carsten Rother

CVPR 2017 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

NeurIPS 2016 Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization Alexander Kirillov, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy

ICCV 2015 Inferring M-Best Diverse Labelings in a Single One Alexander Kirillov, Bogdan Savchynskyy, Dmitrij Schlesinger, Dmitry Vetrov, Carsten Rother

NeurIPS 2015 M-Best-Diverse Labelings for Submodular Energies and Beyond Alexander Kirillov, Dmytro Shlezinger, Dmitry P Vetrov, Carsten Rother, Bogdan Savchynskyy